1.
図書
Corneliu Constantinescu
目次情報:
続きを見る
Introduction
Banach Algebras / 2：
Algebras / 2.1：
General Results / 2.1.1：
Invertible Elements / 2.1.2：
The Spectrum / 2.1.3：
Standard Examples / 2.1.4：
Complexification of Algebras / 2.1.5：
Exercises
Normed Algebras / 2.2：
The Standard Examples / 2.2.1：
The Exponential Function and the Neumann Series / 2.2.3：
Invertible Elements of Unital Banach Algebras / 2.2.4：
The Theorems of Riesz and Gelfand / 2.2.5：
Poles of Resolvents / 2.2.6：
Modules / 2.2.7：
Involutive Banach Algebras / 2.3：
Involutive Algebras / 2.3.1：
Sesquilinear Forms / 2.3.2：
Positive Linear Forms / 2.3.4：
The State Space / 2.3.5：
Involutive Modules / 2.3.6：
Gelfand Algebras / 2.4：
The Gelfand Transform / 2.4.1：
Involutive Gelfand Algebras / 2.4.2：
Examples / 2.4.3：
Locally Compact Additive Groups / 2.4.4：
The Fourier Transform / 2.4.5：
Compact Operators / 3：
The General Theory / 3.1：
Fredholm Operators / 3.1.1：
Point Spectrum / 3.1.4：
Spectrum of a Compact Operator / 3.1.5：
Integral Operators / 3.1.6：
Linear Differential Equations / 3.2：
Boundary Value Problems for Differential Equations / 3.2.1：
Supplementary Results / 3.2.2：
Linear Partial Differential Equations / 3.2.3：
Name
Index Subject
Index Symbol
Index
Introduction
Banach Algebras / 2：
Algebras / 2.1：
2.
図書
H. Haug ... [et al.] ; edited by C. Klingshirn
目次情報:
続きを見る
Landolt-Börnstein
Group III: Condensed Matter
Semiconductor Quantum Structures / Volume 34：
Optical Properties (Part 2) / Subvolume C2：
Introductory material
Low-dimensional structures of II-VI compounds / 5：
General properties / H. Kalt5.1：
Introduction / 5.1.1：
Some basic properties of bulk II-VI compounds / 5.1.2：
Band-gap energies / 5.1.2.1：
Excitonic properties / 5.1.2.2：
Alignment of electronic bands / 5.1.3：
References for 5.1 / 5.1.4：
Quantum-well structures of II-VI compounds / 5.2：
(Hg,X)Te quantum wells / 5.2.1：
Low-density regime / 5.2.1.1：
Electronic states in quantum wells / 5.2.1.1.1：
Electron-hole and excitonic transitions / 5.2.1.1.2：
Modification of the optical properties by internal fields / 5.2.1.2：
Modification of the optical properties by external fields / 5.2.1.3：
High-density regime and nonlinear optics / 5.2.1.4：
References for 5.2.1 / 5.2.1.5：
CdTe quantum wells / 5.2.2：
Excitonic transitions / 5.2.2.1：
Localized excitons / 5.2.2.1.3：
Polariton effects / 5.2.2.1.4：
Strained quantum wells / 5.2.2.2：
Piezoelectric quantum wells / 5.2.2.2.2：
Hydrostatic pressure / 5.2.2.3：
External electric fields / 5.2.2.3.2：
External magnetic fields / 5.2.2.3.3：
The intermediate-density regime / 5.2.2.4：
Exciton-exciton interaction / 5.2.2.4.1：
Excitonic lasing and optical gain / 5.2.2.4.2：
Biexcitons / 5.2.2.4.3：
The high-density regime / 5.2.2.5：
One-component plasma (2DEG) / 5.2.2.5.1：
Electron-hole plasma / 5.2.2.5.2：
Coherent dynamics and relaxation of optical excitations / 5.2.2.6：
Coherent interactions / 5.2.2.6.1：
Dephasing mechanisms and homogeneous linewidth / 5.2.2.6.2：
Relaxation processes / 5.2.2.6.3：
Transport phenomena of excitons and trions / 5.2.2.6.4：
Radiative and nonradiative recombination / 5.2.2.6.5：
References for 5.2.2 / 5.2.2.7：
(Cd,Zn)Te, (Cd,Mn)Te, and (Cd,Mg)Te quantum wells / 5.2.3：
The intermediate and high-density regimes / 5.2.3.1：
References for 5.2.3 / 5.2.3.4：
ZnTe quantum wells / 5.2.4：
Excitons and polaritons / 5.2.4.1：
Optical nonlinearities and high-density effects / 5.2.4.3：
References for 5.2.4 / 5.2.4.4：
Telluride diluted-magnetic semiconductor quantum-well structures: (Hg,Mn)Te, (Cd,Mn)Te, and (Zn,Mn)Te QWs; Se/Te type-II QWs / 5.2.5：
Zeeman splitting and its applications / 5.2.5.1：
Giant Zeeman splitting / 5.2.5.1.1：
Magnetic-field induced type-I to type-II transition / 5.2.5.1.2：
Interface effects in non-DMS/DMS QW structures / 5.2.5.1.3：
Magnetic-field induced circular birefringence / 5.2.5.1.4：
Coulomb-bound electron-hole pairs and complexes (low-density regime) / 5.2.5.2：
Magnetic polarons / 5.2.5.2.1：
Donor-acceptor pair recombination / 5.2.5.2.3：
The intermediate and high-density regime / 5.2.5.3：
Spin-aligned excitons / 5.2.5.3.1：
Spin-aligned magnetoplasma / 5.2.5.3.2：
Two-dimensional electron or hole gas / 5.2.5.3.3：
Coherent spin dynamics and spin injection / 5.2.5.4：
Spin relaxation / 5.2.5.4.2：
Exciton dephasing and homogeneous broadening / 5.2.5.4.3：
Formation dynamics of magnetic polarons / 5.2.5.4.4：
Recombination processes / 5.2.5.4.5：
References for 5.2.5 / 5.2.5.5：
Telluride/Selenide quantum wells / 5.2.6：
High-density regime and dynamics / 5.2.6.1：
References for 5.2.6 / 5.2.6.3：
HgSe and (Hg,Cd)Se quantum wells / 5.2.7：
References for 5.2.7
CdSe quantum wells / 5.2.8：
High-density regime / 5.2.8.1：
Relaxation dynamics / 5.2.8.3：
References for 5.2.8 / 5.2.8.4：
(Cd,Zn)Se quantum wells / 5.2.9：
Modifications of the optical properties by internal fields / 5.2.9.1：
Piezoelectric fields / 5.2.9.2.1：
Modifications of the optical properties by external fields / 5.2.9.3：
Excitonic interactions and Pauli blocking / 5.2.9.3.1：
Two-photon absorption and second harmonic generation / 5.2.9.4.2：
Localized biexcitons / 5.2.9.4.3：
Excitonic and biexcitonic stimulated emission and optical gain / 5.2.9.4.4：
Fermi-edge singularity / 5.2.9.5：
Correlated electron-hole plasma / 5.2.9.5.2：
Coherent interactions and dephasing / 5.2.9.6：
Transport phenomena / 5.2.9.6.2：
Dynamics of gain and stimulated emission / 5.2.9.6.4：
Radiative and non-radiative recombination / 5.2.9.6.5：
References for 5.2.9 / 5.2.9.7：
ZnSe quantum wells / 5.2.10：
Strain and piezoelectric fields / 5.2.10.1：
Transient internal space charge fields / 5.2.10.2.2：
Electric fields / 5.2.10.3：
Magnetic fields / 5.2.10.3.3：
Excitonic gain and lasing / 5.2.10.4：
Nonlinear optical effects / 5.2.10.4.4：
Optical gain and lasing / 5.2.10.5：
Hot-exciton relaxation / 5.2.10.6：
Lateral transport / 5.2.10.6.4：
References for 5.2.10 / 5.2.10.6.6：
Selenide-based quantum wells containing Be, Mg, or S in the well / 5.2.11：
References for 5.2.11
Selenide diluted-magnetic semiconductor quantum-well structures: (Cd,Mn)Se, (Zn,Mn)Se, and (Zn,Fe)Se QWs / 5.2.12：
Two-dimensional electron gas / 5.2.12.1：
Spin dephasing and relaxation / 5.2.12.4：
Dynamics of magnetic polarons / 5.2.12.4.2：
References for 5.2.12 / 5.2.12.4.3：
Zincblende Sulphide/Selenide type-II quantum wells / 5.2.13：
References for 5.2.13
CdS/ZnS and (Cd,Zn)S/ZnS quantum wells / 5.2.14：
Intermediate and high-density regime / 5.2.14.1：
Exciton dynamics / 5.2.14.4：
References for 5.2.14 / 5.2.14.5：
ZnS/(Zn,Mg)S quantum wells / 5.2.15：
References for 5.2.15
ZnO and (Zn,Cd)O quantum wells / 5.2.16：
Dynamics of optical excitations / 5.2.16.1：
References for 5.2.16 / 5.2.16.5：
Superlattices and coupled quantum-well structures of II-VI compounds / 5.3：
(Hg,X)Te superlattices / 5.3.1：
Electronic states in superlattices / 5.3.1.1：
References for 5.3.1 / 5.3.1.1.2：
CdTe/(Cd,X)Te and (Cd,X)Te/ZnTe superlattices and coupled quantum wells / 5.3.2：
Transient effects and dynamics / 5.3.2.1：
References for 5.3.2 / 5.3.2.5：
Telluride diluted magnetic semiconductor superlattices and coupled quantum wells / 5.3.3：
Electronic states in DMS SLs / 5.3.3.1：
Spin states in DMS SLs / 5.3.3.2：
Polaritons / 5.3.3.3：
Dynamic processes / 5.3.3.5：
References for 5.3.3 / 5.3.3.6：
Telluride/Selenide and Telluride/Sulphide superlattices / 5.3.4：
Electronic states in type-II SLs / 5.3.4.1：
Excitons and isoelectronic traps / 5.3.4.2：
High-excitation regime / 5.3.4.3：
References for 5.3.4 / 5.3.4.5：
CdSe, ZnSe, (Cd,Zn)Se, and (Zn,Mg)(S,Se) superlattices and coupled quantum wells / 5.3.5：
Electronic states in strained-layer superlattices / 5.3.5.1：
Optical functions in superlattices and multiple quantum wells / 5.3.5.1.2：
Magnetic field / 5.3.5.1.3：
References for 5.3.5 / 5.3.5.4：
Selenide DMS superlattices and coupled quantum wells / 5.3.6：
Electronic states in diluted magnetic semiconductor superlattices (DMS SLs) / 5.3.6.1：
Spin-relaxation and spin injection / 5.3.6.1.2：
References for 5.3.6 / 5.3.6.3：
CdSe/CdS and CdS/ZnSe intrinsic Stark superlattices / 5.3.7：
References for 5.3.7 / 5.3.7.1：
Zincblende Sulphide/Selenide superlattices / 5.3.8：
References for 5.3.8
CdS/ZnS, CdS/(Cd,ZnS), and (Cd,Zn)S/ZnS superlattices / 5.3.9：
References for 5.3.9
Quantum-wire structures / 5.4：
Telluride quantum wires / 5.4.1：
Selenide quantum wires / 5.4.1.1：
Electron-phonon coupling / 5.4.2.1：
Optical gain / 5.4.2.1.3：
Exciton recombination / 5.4.2.3：
Sulfide quantum wires / 5.4.3：
Oxide quantum wires / 5.4.4：
Semimagnetic quantum wires / 5.4.5：
Mn-related transitions / 5.4.5.1：
Magneto-optics / 5.4.5.2：
References for 5.4 / 5.4.6：
II-VI Quantum dots I - Nanocrystals / U. Woggon ; S.V. Gaponenko5.5：
HgTe / 5.5.1：
CdTe / 5.5.2：
The low-density regime / 5.5.2.1：
Size-dependent energy states / 5.5.2.1.1：
Splitting of states / 5.5.2.1.2：
Interaction with phonons / 5.5.2.1.3：
Impurity states / 5.5.2.1.4：
Coherent dynamics, relaxation and recombination of optical excitations / 5.5.2.2：
Dot-dot interactions, quantum dot arrays / 5.5.2.5：
(Cd,Hg)Te / 5.5.3：
Cd(Te,Se) and Cd(Te,S) / 5.5.4：
ZnTe / 5.5.5：
HgSe / 5.5.6：
CdSe / 5.5.7：
Biexciton states / 5.5.7.1：
Nonlinear optical coefficients / 5.5.7.2.2：
Stimulated emission and optical gain / 5.5.7.2.3：
Dephasing times and homogeneous linewidth / 5.5.7.3：
Cd(Se,S) / 5.5.7.4.2：
(Cd,Mn)Se / 5.5.8.1：
(Cd,Zn)Se / 5.5.10：
ZnSe / 5.5.11：
HgS / 5.5.11.1：
CdS / 5.5.13：
Nonlinear-optical coefficients / 5.5.13.1：
(Zn,Cd)S / 5.5.13.2.3：
(Zn,Mn)S / 5.5.15：
ZnS / 5.5.16：
CdO / 5.5.16.1：
ZnO / 5.5.18：
References for 5.5 / 5.5.18.1：
II-VI Quantum dots II - Self-organized, epitaxially grown nanostructures / 5.6：
Excitonic states and their fine structure / 5.6.1：
Charged excitons / 5.6.2.1.2：
(Cd,Mn)Te, (Cd,Mg)Te / 5.6.2.1.3：
CdSe and ZnCdSe / 5.6.4：
References for 5.6 / 5.6.6.1：
Landolt-Börnstein
Group III: Condensed Matter
Semiconductor Quantum Structures / Volume 34：
3.
図書
Robert Alicki and Mark Fannes
出版情報:
Oxford : Oxford University Press, c2001 xiv, 278 p. ; 24 cm
子書誌情報:
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目次情報:
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Introduction / 1：
Basic tools for quantum mechanics / 2：
Hilbert spaces and operators / 2.1：
Vector spaces / 2.1.1：
Banach and Hilbert spaces / 2.1.2：
Geometrical properties of Hilbert spaces / 2.1.3：
Orthonormal bases / 2.1.4：
Subspaces and projectors / 2.1.5：
Linear maps between Banach spaces / 2.1.6：
Linear functionals and Dirac notation / 2.1.7：
Adjoints of bounded operators / 2.1.8：
Hermitian, unitary and normal operators / 2.1.9：
Partial isometries and polar decomposition / 2.1.10：
Spectra of operators / 2.1.11：
Unbounded operators / 2.1.12：
Measures / 2.2：
Measures and integration / 2.2.1：
Distributions / 2.2.2：
Hilbert spaces of functions / 2.2.3：
Spectral measures / 2.2.4：
Probability in quantum mechanics / 2.3：
Pure states / 2.3.1：
Mixed states, density matrices / 2.3.2：
Observables in quantum mechanics / 2.4：
Compact operators / 2.4.1：
Weyl quantization / 2.4.2：
Composed systems / 2.5：
Direct sums / 2.5.1：
Tensor products / 2.5.2：
Observables and states of composite systems / 2.5.3：
Notes / 2.6：
Deterministic dynamics / 3：
Deterministic quantum dynamics / 3.1：
Time-independent Hamiltonians / 3.1.1：
Perturbations of Hamiltonians / 3.1.2：
Time-dependent Hamiltonians / 3.1.3：
Periodic perturbations and Floquet operators / 3.1.4：
Kicked dynamics / 3.1.5：
Classical limits / 3.2：
Classical differentiable dynamics / 3.3：
Self-adjoint Laplacians on compact manifolds / 3.4：
Spin chains / 3.5：
Local observables / 4.1：
States of a spin system / 4.2：
Symmetries and dynamics / 4.3：
Algebraic tools / 5：
C*-algebras / 5.1：
Examples / 5.2：
States and representations / 5.3：
Dynamical systems and von Neumann algebras / 5.4：
Fermionic dynamical systems / 5.5：
Fermions in Fock space / 6.1：
Fock space / 6.1.1：
Creation and annihilation / 6.1.2：
Second quantization / 6.1.3：
The CAR-algebra / 6.2：
Canonical anticommutation relations / 6.2.1：
Quasi-free automorphisms / 6.2.2：
Quasi-free states / 6.2.3：
Ergodic theory / 6.3：
Ergodicity in classical systems / 7.1：
Ergodicity in quantum systems / 7.2：
Asymptotic Abelianness / 7.2.1：
Multitime correlations / 7.2.2：
Fluctuations around ergodic means / 7.2.3：
Lyapunov exponents / 7.3：
Classical dynamics / 7.3.1：
Quantum dynamics / 7.3.2：
Quantum irreversibility / 7.4：
Measurement theory / 8.1：
Open quantum systems / 8.2：
Complete positivity / 8.3：
Quantum dynamical semigroups / 8.4：
Quasi-free completely positive maps / 8.5：
Entropy / 8.6：
von Neumann entropy / 9.1：
Technical preliminaries / 9.1.1：
Properties of von Neumann's entropy / 9.1.2：
Mean entropy / 9.1.3：
Entropy of quasi-free states / 9.1.4：
Relative entropy / 9.2：
Finite-dimensional case / 9.2.1：
Maximum entropy principle / 9.2.2：
Algebraic setting / 9.2.3：
Dynamical entropy / 9.3：
Operational partitions / 10.1：
Symbolic dynamics / 10.2：
The entropy / 10.2.2：
Some technical results / 10.3：
The quantum shift / 10.4：
The free shift / 10.4.2：
Infinite entropy / 10.4.3：
Powers-Price shifts / 10.4.4：
Classical dynamical entropy / 10.5：
The Kolmogorov-Sinai invariant / 11.1：
H-density / 11.2：
Finite quantum systems / 12：
Quantum chaos / 12.1：
Time scales / 12.1.1：
Spectral statistics / 12.1.2：
Semi-classical limits / 12.1.3：
The kicked top / 12.2：
The model / 12.2.1：
The classical limit / 12.2.2：
Kicked mean-field Heisenberg model / 12.2.3：
Chaotic properties / 12.2.4：
Gram matrices / 12.3：
Entropy production / 12.4：
Model systems / 12.5：
Entropy of the quantum cat map / 13.1：
Ruelle's inequality / 13.2：
Non-commutative Riemannian structures / 13.2.1：
Non-commutative Lyapunov exponents / 13.2.2：
Quasi-free Fermion dynamics / 13.2.3：
Description of the model / 13.3.1：
Main result / 13.3.2：
Sketch of the proof / 13.3.3：
Epilogue / 13.4：
References
Index
Introduction / 1：
Basic tools for quantum mechanics / 2：
Hilbert spaces and operators / 2.1：
4.
図書
Jean-Paul Pier
出版情報:
Oxford : Oxford University Press, 2001 x, 428 p. ; 25 cm
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目次情報:
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Introduction / 1：
The scope of analysis / 1.1：
The great classics on analysis / 1.1.1：
The changing object of analysis / 1.1.2：
Main streams in a turbulent activity / 1.2：
The question of subdividing mathematical analysis / 1.2.1：
How to organize the subject / 1.2.2：
General Topology / 2：
Evolution 1900-1950 / 2.1：
Topological axiomatizations / 2.1.1：
Topological algebra / 2.1.2：
Filtrations / 2.1.3：
Dimension theory / 2.1.4：
Complementary inputs / 2.1.5：
Flashes 1950-2000 / 2.2：
An accomplished subject / 2.2.1：
Generalized topological concepts / 2.2.2：
Integration and Measure / 3：
Lebesgue integration / 3.1：
The general concept of measure / 3.1.2：
Paradoxical decomposition / 3.1.3：
Period of consolidation / 3.1.4：
Standing problems / 3.2：
Abstract formulations / 3.2.2：
Generalized Riemann integrals / 3.2.3：
Outlook / 3.2.4：
Functional analysis / 4：
New objectives / 4.1：
Theory of integral equations / 4.1.2：
Banach spaces / 4.1.3：
Hilbert spaces / 4.1.4：
von Neumann algebras / 4.1.5：
Banach algebras / 4.1.6：
Distributions / 4.1.7：
Topological vector spaces / 4.2：
Extension of Weierstra[beta]'s theorem / 4.2.2：
Frechet spaces, Schwartz spaces, Sobolev spaces / 4.2.3：
Banach space properties / 4.2.4：
Hilbert space properties / 4.2.5：
Banach algebra and C*-algebra properties / 4.2.6：
Approximation properties / 4.2.7：
Nuclearity / 4.2.8：
von Neumann algebra properties / 4.2.9：
Specific topics / 4.2.10：
Harmonic analysis / 5：
Fourier series / 5.1：
Invariant measures / 5.1.2：
Almost periodic functions / 5.1.3：
Uniqueness of invariant measures / 5.1.4：
Convolutions / 5.1.5：
An evolution linked to the history of physics / 5.1.6：
Representation theory / 5.1.7：
Structural properties of topological groups / 5.1.8：
Positive-definite functions / 5.1.9：
Harmonic synthesis / 5.1.10：
Metric locally compact Abelian groups / 5.1.11：
Fourier transforms / 5.2：
Convolution properties / 5.2.2：
Group representations / 5.2.3：
Remarkable Banach algebras of functions on a locally compact group / 5.2.4：
Specific sets / 5.2.5：
Specific groups / 5.2.6：
Harmonic analysis on semigroups / 5.2.7：
Wavelets / 5.2.8：
Generalized actions / 5.2.9：
Lie groups / 6：
Lie groups and Lie algebras / 6.1：
Symmetric Riemannian spaces / 6.1.2：
Hilbert's problem for Lie groups / 6.1.3：
Representations of Lie groups / 6.1.4：
The wide range of Lie group theory / 6.2：
Solution of Hilbert's problem on Lie groups / 6.2.2：
Ergodicity problems / 6.2.3：
Specific classes of Lie groups / 6.2.4：
Extensions of Lie group theory / 6.2.5：
Theory of functions and analytic geometry / 7：
The nineteenth century continued / 7.1：
Potential theory / 7.1.2：
Conformal mappings / 7.1.3：
Towards a theory of several complex variables / 7.1.4：
Accomplishments on previous topics / 7.2：
Hardy spaces / 7.2.2：
The dominance of the theory of several complex variables / 7.2.3：
Iteration problems / 7.2.4：
Ordinary and Partial Differential Equations / 8：
New trends for classical problems / 8.1：
Fixed point properties / 8.1.2：
From the ordinary differential case to the partial differential case / 8.1.3：
Differential equations / 8.2：
Partial differential equations / 8.2.2：
Tentacular subjects / 8.2.3：
Algebraic topology / 9：
The origins of algebraic topology / 9.1：
Simplicial theories / 9.1.2：
Homotopy theory / 9.1.3：
Fibres and fibrations / 9.1.4：
The breakthroughs due to Eilenberg, MacLane, and Leray / 9.1.5：
The power of the machinery / 9.2：
Generalizations / 9.2.2：
Differential topology / 10：
The beginning of the century / 10.1：
E. Cartan's work / 10.1.2：
Tensor products and exterior differentials / 10.1.3：
Morse theory / 10.1.4：
Whitney's work / 10.1.5：
De Rham's work / 10.1.6：
Hodge theory / 10.1.7：
The framing of the subject / 10.1.8：
The status of differentiable manifolds / 10.2：
Foliations / 10.2.2：
From Poincare's heritage / 10.2.3：
Global analysis / 10.2.5：
Probability / 11：
First results / 11.1：
Brownian motion / 11.1.2：
Ergodicity / 11.1.3：
Probabilities as measures / 11.1.4：
Stochastic integrals / 11.1.5：
Probability theory, a part of analysis / 11.2：
Dynamical systems and ergodicity / 11.2.2：
Entropy / 11.2.3：
Stochastic processes / 11.2.4：
Algebraic geometry / 12：
Algebraic geometry and number theory / 12.1：
The Mordell conjecture / 12.1.2：
Transcendence and prime numbers / 12.1.3：
The Riemann conjecture / 12.1.4：
Arithmetical properties / 12.2：
Investigations on transcendental numbers / 12.2.2：
A central object of study / 12.2.3：
Etale cohomology / 12.2.4：
The general Riemann-Roch theorems / 12.2.5：
K-theory / 12.2.6：
Further studies / 12.2.7：
References
Index of Names
Index of Terms
List of Symbols / Appendix：
Introduction / 1：
The scope of analysis / 1.1：
The great classics on analysis / 1.1.1：
5.
ＥＢ
Ralf Küsters
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2001
子書誌情報:
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Introduction / 1：
Description Logics / 2：
History / 2.1：
Syntax and Semantics of Description Logics / 2.2：
Concept Descriptions / 2.2.1：
Terminologies (TBoxes) / 2.2.2：
World Descriptions (ABoxes) / 2.2.3：
Standard Inferences / 2.3：
Decision Algorithms / 2.4：
Non-Standard Inferences / 3：
LCS and MSC / 3.1：
Definition of LCS and MSC / 3.1.1：
Applications of LCS and MSC / 3.1.2：
Previous Results / 3.1.3：
New Results / 3.1.4：
Matching / 3.2：
Definition of Matching Problems / 3.2.1：
Applications of Matching / 3.2.2：
Solutions of Matching Problems / 3.2.3：
The Underlying Techniques / 3.2.4：
Other Non-Standard Inferences / 3.4：
Characterizing Subsumption / 4：
Subsumption in ALNS / 4.1：
A Graph-Based Characterization of Subsumption / 4.1.1：
A Description-Based Characterization of Subsumption / 4.1.2：
Subsumption in ALE / 4.2：
A Tree-Based Characterization of Subsumption / 4.3.1：
LCS for ALNS-Concept Descriptions / 4.3.2：
The LCS in ALNS / 5.1.1：
The LCS in LS / 5.1.2：
LCS for ALE-Concept Descriptions / 5.2：
Matching in ALNS / 6：
Deciding the Solvability of Matching Problems / 6.1.1：
Computing Minimal i-Complete Sets / 6.1.2：
Computing Minimal d-Complete Sets / 6.1.3：
Deciding the Solvability of Matching / 6.2：
Matching in ALE / 6.2.2：
Matching in EL / 6.3.1：
Equivalence of ALE-Concept Descriptions / 6.3.2：
Deciding the Solvability of Matching in FLE / 6.3.3：
Deciding the Solvability of Matching in ALE / 6.3.4：
Computing i-Minimal Matchers in ALE / 6.3.5：
Computing d-Minimal Matchers in ALE / 6.3.6：
Conclusion / 7：
References
Index
Introduction / 1：
Description Logics / 2：
History / 2.1：
6.
図書
Noboru Ono
目次情報:
続きを見る
Series Foreword
Preface
Acknowledgments
Abbreviations
Introduction / 1.：
Preparation of Nitro Compounds / 2.：
Nitration of Hydrocarbons / 2.1：
Aromatic Compounds / 2.1.1：
Alkanes / 2.1.2：
Activated C-H Compounds / 2.1.3：
Alkenes / 2.1.4：
Synthesis of [alpha]-Nitro Ketones / 2.1.5：
Nitration of Alkyl Halides / 2.1.6：
Synthesis of Nitro Compounds by Oxidation / 2.2：
Oxidation of Amines / 2.2.1：
Oxidation of Oximes / 2.2.2：
The Nitro-Aldol (Henry) Reaction / 3.：
Preparation of [beta]-Nitro Alcohols / 3.1：
Derivatives from [beta]-Nitro Alcohols / 3.2：
Nitroalkenes / 3.2.1：
Nitroalkanes / 3.2.2：
[alpha]-Nitro Ketones / 3.2.3：
[beta]-Amino Alcohols / 3.2.4：
Nitro Sugars and Amino Sugars / 3.2.5：
Stereoselective Henry Reactions and Applications to Organic Synthesis / 3.3：
Michael Addition / 4.：
Addition to Nitroalkenes / 4.1：
Conjugate Addition of Heteroatom-Centered Nucleophiles / 4.1.1：
Conjugate Addition of Heteroatom Nucleophiles and Subsequent Nef Reaction / 4.1.2：
Conjugate Addition of Carbon-Centered Nucleophiles / 4.1.3：
Addition and Elimination Reaction of [beta]-Heterosubstituted Nitroalkenes / 4.2：
Michael Addition of Nitroalkanes / 4.3：
Intermolecular Addition / 4.3.1：
Intramolecular Addition / 4.3.2：
Asymmetric Michael Addition / 4.4：
Chiral Alkenes and Chiral Nitro Compounds / 4.4.1：
Chiral Catalysts / 4.4.2：
Alkylation, Acylation, and Halogenation of Nitro Compounds / 5.：
Alkylation of Nitro Compounds / 5.1：
Acylation of Nitroalkanes / 5.2：
Ring Cleavage of Cyclic [alpha]-Nitro Ketones (Retro-Acylation) / 5.3：
Alkylation of Nitro Compounds via Alkyl Radicals / 5.4：
Alkylation of Nitro Compounds Using Transition Metal Catalysis / 5.5：
Butadiene Telomerization / 5.5.1：
Pd-Catalyzed Allylic C-Alkylation of Nitro Compounds / 5.5.2：
Arylation of Nitro Compounds / 5.6：
Introduction of Heteroatoms to Nitroalkanes / 5.7：
Conversion of Nitro Compounds into Other Compounds / 6.：
Nef Reaction (Aldehydes, Ketones, and Carboxylic Acids) / 6.1：
Treatment With Acid (Classical Procedure) / 6.1.1：
Oxidative Method / 6.1.2：
Reductive Method / 6.1.3：
Direct Conversion of Nitroalkenes to Carbonyl Compounds / 6.1.4：
Nitrile Oxides and Nitriles / 6.2：
Reduction of Nitro Compounds into Amines / 6.3：
Ar-NH[subscript 2] From Ar-NO[subscript 2] / 6.3.1：
R-NH[subscript 2] From R-NO[subscript 2] / 6.3.2：
Oximes, Hydroxylamines, and Other Nitrogen Derivatives / 6.3.3：
Substitution and Elimination of NO[subscript 2] in R-NO[subscript 2] / 7.：
R-Nu from R-NO[subscript 2] / 7.1：
Radical Reactions (S[subscript RN]1) / 7.1.1：
Ionic Process / 7.1.2：
Intramolecular Nucleophilic Substitution Reaction / 7.1.3：
Allylic Rearrangement / 7.1.4：
R-H from R-NO[subscript 2] / 7.2：
Radical Denitration / 7.2.1：
Ionic Denitration / 7.2.2：
Alkenes from R-NO[subscript 2] / 7.3：
Radical Elimination / 7.3.1：
Ionic Elimination of Nitro Compounds / 7.3.2：
Cycloaddition Chemistry of Nitro Compounds / 8.：
Diels-Alder Reactions / 8.1：
Nitroalkenes Using Dienophiles / 8.1.1：
Asymmetric Diels-Alder Reaction / 8.1.2：
1,3-Dipolar Cycloaddition / 8.2：
Nitrones / 8.2.1：
Nitrile Oxides / 8.2.2：
Nitronates / 8.2.3：
Nitroalkenes as Heterodienes in Tandem [4+2]/[3+2] Cycloaddition / 8.3：
Nitroalkenes as Heterodienes / 8.3.1：
Tandem [4+2]/[3+2] Cycloaddition of Nitroalkenes / 8.3.2：
Nucleophilic Aromatic Displacement / 9.：
S[subscript N]Ar / 9.1：
Nucleophilic Aromatic Substitution of Hydrogen (NASH) / 9.2：
Carbon Nucleophiles / 9.2.1：
Nitrogen and Other Heteroatom Nucleophiles / 9.2.2：
Applications to Synthesis of Heterocyclic Compounds / 9.2.3：
Synthesis of Heterocyclic Compounds / 10.：
Pyrroles / 10.1：
Synthesis of Indoles / 10.2：
Synthesis of Other Nitrogen Heterocycles / 10.3：
Three-Membered Ring / 10.3.1：
Five- and Six-Membered Saturated Rings / 10.3.2：
Miscellaneous / 10.3.3：
Index
Series Foreword
Preface
Acknowledgments
7.
図書
by Robert J. Hilderman, Howard J. Hamilton
目次情報:
続きを見る
List of Figures
List of Tables
Preface
Acknowledgments
Introduction / 1.：
KDD in a Nutshell / 1.1：
The Mining Step / 1.1.1：
The Interpretation and Evaluation Step / 1.1.2：
Objective of the Book / 1.2：
Background and Related Work / 2.：
Data Mining Techniques / 2.1：
Classification / 2.1.1：
Association / 2.1.2：
Clustering / 2.1.3：
Correlation / 2.1.4：
Other Techniques / 2.1.5：
Interestingness Measures / 2.2：
Rule Interest Function / 2.2.1：
J-Measure / 2.2.2：
Itemset Measures / 2.2.3：
Rule Templates / 2.2.4：
Projected Savings / 2.2.5：
I-Measures / 2.2.6：
Silbershatz and Tuzhilin's Interestingness / 2.2.7：
Kamber and Shinghal's Interestingness / 2.2.8：
Credibility / 2.2.9：
General Impressions / 2.2.10：
Distance Metric / 2.2.11：
Surprisingness / 2.2.12：
Gray and Orlowska's Interestingness / 2.2.13：
Dong and Li's Interestingness / 2.2.14：
Reliable Exceptions / 2.2.15：
Peculiarity / 2.2.16：
A Data Mining Technique / 3.：
Definitions / 3.1：
The Serial Algorithm / 3.2：
General Overview / 3.2.1：
Detailed Walkthrough / 3.2.2：
The Parallel Algorithm / 3.3：
Complexity Analysis / 3.3.1：
Attribute-Oriented Generalization / 3.4.1：
The All_Gen Algorithm / 3.4.2：
A Comparison with Commercial OLAP Systems / 3.5：
Heuristic Measures of Interestingness / 4.：
Diversity / 4.1：
Notation / 4.2：
The Sixteen Diversity Measures / 4.3：
The I[subscript Variance] Measure / 4.3.1：
The I[subscript Simpson] Measure / 4.3.2：
The I[subscript Shannon] Measure / 4.3.3：
The I[subscript Total] Measure / 4.3.4：
The I[subscript Max] Measure / 4.3.5：
The I[subscript McIntosh] Measure / 4.3.6：
The I[subscript Lorenz] Measure / 4.3.7：
The I[subscript Gini] Measure / 4.3.8：
The I[subscript Berger] Measure / 4.3.9：
The I[subscript Schutz] Measure / 4.3.10：
The I[subscript Bray] Measure / 4.3.11：
The I[subscript Whittaker] Measure / 4.3.12：
The I[subscript Kullback] Measure / 4.3.13：
The I[subscript MacArthur] Measure / 4.3.14：
The I[subscript Theil] Measure / 4.3.15：
The I[subscript Atkinson] Measure / 4.3.16：
An Interestingness Framework / 5.：
Interestingness Principles / 5.1：
Summary / 5.2：
Theorems and Proofs / 5.3：
Minimum Value Principle / 5.3.1：
Maximum Value Principle / 5.3.2：
Skewness Principle / 5.3.3：
Permutation Invariance Principle / 5.3.4：
Transfer Principle / 5.3.5：
Experimental Analyses / 6.：
Evaluation of the All_Gen Algorithm / 6.1：
Serial vs Parallel Performance / 6.1.1：
Speedup and Efficiency Improvements / 6.1.2：
Evaluation of the Sixteen Diversity Measures / 6.2：
Comparison of Assigned Ranks / 6.2.1：
Analysis of Ranking Similarities / 6.2.2：
Analysis of Summary Complexity / 6.2.3：
Distribution of Index Values / 6.2.4：
Conclusion / 7.：
Areas for Future Research / 7.1：
Appendices
Ranking Similarities
Summary Complexity
Index
List of Figures
List of Tables
Preface
8.
図書
Katsunori Muraoka, Mitsuo Maeda ; [English translation by Mark Bowden]
出版情報:
Philadelphia : Institute of Physics Pub., c2001 x, 295 p. ; 24 cm
シリーズ名:
Plasma physics series
子書誌情報:
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所蔵情報:
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目次情報:
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Foreword
Fundamentals / Part I：
Laser-Aided Diagnostics of Gases and Plasmas / 1：
Properties of Gases / 1.1：
Classification of Gaseous States / 1.1.1：
Fundamental Parameters used to describe Gases / 1.1.2：
Properties of Plasmas / 1.2：
Different Areas of Plasma Applications / 1.2.1：
Fundamental Parameters used to describe Plasmas / 1.2.2：
Summary / 1.2.3：
Different States of Matter and their Kinetic Properties / 1.3：
Characteristics of Laser Light / 1.4：
Coherence / 1.4.1：
Short Pulse Generation / 1.4.2：
Advantages of Laser-Aided Measurement Methods / 1.5：
References
Basic Principles of Different Laser-Aided Measurement Techniques / 2：
Interaction of Electromagnetic Waves with Single Particles / 2.1：
Thomson Scattering by Charged Particles / 2.1.1：
Mie and Rayleigh Scattering / 2.1.2：
Raman Scattering / 2.1.3：
Resonant Absorption / 2.1.4：
Photo-Ionization / 2.1.5：
Laser Propagation through Gases and Plasmas / 2.2：
Reflection / 2.2.1：
Transmission / 2.2.2：
Refraction / 2.2.3：
Scattering / 2.2.4：
Spectral Profile Measurements / 2.2.5：
Summary of Line Broadening Mechanisms / 2.3.1：
Examples of Spectral Widths / 2.3.2：
Spectral Profile Measurement Techniques / 2.3.3：
Hardware for Laser Measurements / 3：
Lasers / 3.1：
Overview of Laser Systems / 3.1.1：
Control of Laser Light / 3.1.2：
Gas Lasers / 3.1.3：
Solid-State and Semiconductor Diode Lasers / 3.1.4：
Tunable Lasers / 3.1.5：
Nonlinear Wavelength Conversion Devices / 3.2：
Nonlinear Optical Effects / 3.2.1：
Higher Harmonic Generation and Frequency Mixing / 3.2.2：
Optical Parametric Oscillators / 3.2.3：
Stimulated Scattering / 3.2.4：
Optical Elements and Optical Instruments / 3.3：
Dispersion Elements and Spectrometers / 3.3.1：
Interferometers / 3.3.2：
Optical Waveguides / 3.3.3：
Other Optical Elements / 3.3.4：
Detectors and Signal Processing / 3.4：
Light Detectors / 3.4.1：
Imaging Detectors / 3.4.2：
Noise Sources and Signal Recovery / 3.4.3：
Observation of Fast Waveforms / 3.4.4：
Applications and Measurements / Part II：
Plasma Measurements / 4：
Overview of Plasma Spectroscopic Methods / 4.1：
Laser-Aided Measurements in High-Temperature Plasmas / 4.2：
Measurement of Plasma Density and Temperature / 4.2.1：
Measurement of Density and Temperature of Neutral and Impurity Species / 4.2.2：
Measurement of Electric and Magnetic Fields and Plasma Fluctuations / 4.2.3：
Laser-Aided Measurements in Discharge Plasmas / 4.3：
Measurement of Electric Field / 4.3.1：
Measurement of Electron Density and Temperature / 4.3.2：
Measurement of Reaction Products / 4.3.3：
Combustion Measurements / 5：
Combustion Fields and Laser-Aided Measurements / 5.1：
Measurement of Particle Densities / 5.1.1：
Measurement of Temperature / 5.1.2：
Measurement of Velocity / 5.1.3：
Examples of Combustion Measurements / 5.2：
Measurements by Laser-Induced Fluorescence Spectroscopy / 5.2.1：
Measurements by Coherent Anti-Stokes Raman Spectroscopy / 5.2.2：
Measurements by Degenerate Four-Wave Mixing / 5.2.3：
Measurements in Gas Flow Systems / 6：
Measurement of Refractive Index Changes (Density Measurements) / 6.1：
Schlieren Method / 6.1.1：
Shadowgraphy / 6.1.2：
Interferometry / 6.1.3：
Holography / 6.1.4：
Measurement of Flow Velocity / 6.2：
Measurement Techniques / 6.2.1：
Examples of Measurements / 6.2.2：
Imaging of Gas Flows by Laser-Induced Fluorescence / 6.3：
Measurement of Density Distributions / 6.3.1：
Measurement of Temperature Distributions / 6.3.2：
Laser Processing Measurements / 7：
Laser Processing / 7.1：
Measurement Methods in Laser Processing / 7.2：
Different Methods and their Advantages / 7.2.1：
Detection of Atomic and Molecular Species / 7.2.2：
Examples of Laser Processing Measurements / 7.3：
Measurements of Laser CVD Processes / 7.3.1：
Measurements of Laser Ablation Processes / 7.3.2：
Analytical Chemistry / 8：
Analytical Chemistry and Laser Spectroscopy / 8.1：
Examples of Analysis using Laser Spectroscopic Techniques / 8.2：
Analysis using Laser Raman Spectroscopy / 8.2.1：
Analysis using Laser-Induced Emission Spectroscopy / 8.2.2：
Analysis using Laser-Induced Fluorescence Spectroscopy / 8.2.3：
Analysis using Laser Ionization Spectroscopy / 8.2.4：
Analysis using Laser Photothermal Spectroscopy / 8.2.5：
Remote Sensing / 9：
LIDAR and Monitoring of the Atmosphere / 9.1：
LIDAR Theory / 9.1.1：
Different LIDAR Techniques / 9.1.2：
Representative LIDAR Experiments / 9.2：
Mie Scattering LIDAR / 9.2.1：
Rayleigh Scattering LIDAR / 9.2.2：
Differential Absorption LIDAR (DIAL) / 9.2.3：
Raman LIDAR / 9.2.4：
Index
Foreword
Fundamentals / Part I：
Laser-Aided Diagnostics of Gases and Plasmas / 1：
9.
図書
Igor Nikolaev
目次情報:
続きを見る
Index of Notation
Foliations on 2-Manifolds / 0：
Notations / 0.1：
Examples / 0.2：
Smooth Functions / 0.2.1：
1-Forms / 0.2.2：
Line Elements / 0.2.3：
Curvature Lines / 0.2.4：
A-Diffeomorphisms / 0.2.5：
Constructions / 0.3：
Suspension / 0.3.1：
Measured Foliations / 0.3.2：
Affine Foliations / 0.3.3：
Labyrinths / 0.3.4：
Gluing Together / 0.3.5：
General Theory / Part I：
Local Theory / 1：
Introduction / 1.1：
Symmetry / 1.2：
Normal Forms / 1.3：
Typical Normal Forms / 1.3.1：
Degenerate Normal Forms / 1.3.2：
Structurally Stable Singularities / 1.4：
Blowing-up Method / 1.4.1：
Fundamental Lemma / 1.4.2：
Classification / 1.4.3：
Bifurcations / 1.5：
Morse-Smale Foliations / 2：
Rough Foliations / 2.1：
Main Theorem / 2.1.1：
Structural Stability / 2.1.2：
Density / 2.1.3：
Classification of Morse-Smale Foliations / 2.2：
Rotation Systems / 2.2.1：
Equivalence Criterion / 2.2.2：
Realization of the Graphs / 2.2.3：
Example / 2.2.4：
Gradient-like Foliations / 2.3：
Lyapunov Function / 2.3.1：
Lyapunov Graph / 2.3.2：
Connected Components of Morse-Smale Foliations / 2.4：
Degrees of Stability / 2.5：
Foliations Without Holonomy / 3：
Periodic Components / 3.1：
Quasiminimal Sets / 3.2：
Structure of a Quasiminimal Set / 3.2.1：
Blowing-Down / 3.2.2：
Decomposition / 3.3：
Surgery / 3.4：
Surgery of Labyrinths / 3.4.1：
Surgery of Measured Foliations / 3.4.2：
Number of Quasiminimal Sets / 3.5：
Application: Smoothing Theorem / 3.6：
Invariants of Foliations / 4：
Torus / 4.1：
Minimal Foliations / 4.1.1：
Foliations With a Cantor Minimal Set / 4.1.2：
Foliations With Cherry Cells / 4.1.3：
Analytic Classification / 4.1.4：
Homotopy Rotation Class / 4.2：
Surfaces of Genus g ≥ 2 / 4.2.1：
Properties of the Homotopy Rotation Class / 4.2.2：
Non Orientable Surfaces / 4.3：
Torus With the Cross-Cap / 4.3.1：
Surfaces of Genus p ≥ 4 / 4.3.2：
Discrete Invariants / 4.4：
Regular Foliations on the Sphere / 4.4.1：
Orbit Complex / 4.4.2：
Cells / 4.5：
Classification of Elementary Cells / 4.5.2：
Amalgamation of Elementary Cells / 4.5.3：
Conley-Lyapunov-Peixoto Graph / 4.5.4：
Foliations With Symmetry / 4.5.5：
Cayley Graph / 4.6.1：
Isomorphism / 4.6.2：
Realization / 4.6.3：
Homology and Cohomology Invariants / 4.7：
Asymptotic Cycles / 4.7.1：
Fundamental Class / 4.7.2：
Cycles of A. Zorich / 4.7.3：
Smooth Classification / 4.8：
Torus and Klein Bottle / 4.8.1：
Surfaces of Genus g ≥ 2 / 4.8.2：
Curves on Surfaces / 5：
Curves and the Absolute / 5.1：
Background / 5.1.1：
Proof of Weil's Conjectures / 5.1.3：
Theorems of D. V. Anosov / 5.1.4：
Asymptotic Directions / 5.2：
Of Recurrent Semi-Trajectory / 5.2.1：
Of Analytic Flow / 5.2.2：
Of Foliation / 5.2.3：
Of Curves With Restriction on the Geodesic Curvature / 5.2.4：
Approximation of a Curve / 5.3：
Limit Sets at the Absolute / 5.4：
Geodesic Deviation / 5.5：
Deviation Property of Trajectories / 5.5.1：
Deviation From the Geodesic Framework / 5.5.2：
Ramified Coverings / 5.5.3：
Swing of Trajectories / 5.5.4：
Unbounded Deviation / 5.6：
Irrational Direction on Torus / 5.6.1：
Rational Direction on Torus / 5.6.3：
Family of Curves / 5.7：
Non-compact Surfaces / 6：
Foliations in the Plane / 6.1：
Non Singular Case / 6.1.1：
Singular Case / 6.1.2：
Level Set of Harmonic Functions / 6.1.3：
Depth of the Centre / 6.2：
Minimal Sets / 6.3.2：
Minimal Flows / 6.3.3：
Transitive Flows / 6.3.4：
Applications / Part II：
Ergodic Theory / 7：
Existence of Invariant Measures / 7.1：
Liouville's Theorem / 7.2.1：
Ergodicity / 7.2.2：
Mixing / 7.3.1：
Entropy / 7.4.1：
Homeomorphisms of the Unit Circle / 8：
Denjoy Flow / 8.1：
Cherry Class / 8.2：
Cherry Example / 8.2.1：
Flows With One Cell / 8.2.2：
Flows With Several Cells / 8.2.3：
Foliations on the Sphere / 8.3：
Main Result / 8.3.1：
Application to the Labyrinths / 8.3.3：
Appendix: The Dulac Functions / 8.3.4：
Addendum: Bendixson's Theorem / 8.4：
Diffeomorphisms of Surfaces / 9：
A-diffeomorphisms / 9.1：
Attractors of R. V. Plykin / 9.1.1：
One-Dimensional Basic Sets on the Sphere / 9.1.2：
Surfaces of Genus g ≥ 1 / 9.1.3：
Singularity Data / 9.2：
Isotopy Classes of Diffeomorphisms / 9.3：
C*-Algebras / 10：
Irrational Rotation Algebra / 10.1：
Dimension Groups / 10.1.1：
Continued Fractions / 10.1.2：
Effros-Shen's Theorem / 10.1.3：
Projections of Aα / 10.1.4：
Morita Equivalence / 10.1.5：
Embedding of Aα / 10.1.6：
Artin Rotation Algebra / 10.2：
Approximationssatz / 10.2.1：
Artin Numbers / 10.2.2：
K Theory / 10.2.3：
Foliation With Reeb Components / 10.3.1：
Baum-Connes Conjecture / 10.3.2：
C* -Algebras of Morse-Smale Flows / 10.4：
Quadratic Differentials / 11：
Finite Critical Points / 11.1：
Pole of Order 2 / 11.2.3：
Higher Order Poles / 11.2.4：
Global Behaviour of the Trajectories / 11.3：
Flat Structures / 12：
Flat Metric With Cone Singularities / 12.1：
Classification of Closed Flat Surfaces / 12.1.1：
Connection With Quadratic Differentials and Measured Foliations / 12.2：
Rational Billiards / 12.3：
Veech Dichotomy / 12.4：
Principal Curvature Lines / 13：
Invariants of the 2-Jets / 13.1：
Stability Lemma / 13.1.3：
Classification of Simple Umbilics / 13.1.4：
Carathéodory Conjecture / 13.2：
ϕ-Geodesics / 13.2.1：
CMC-Surfaces / 13.2.3：
Proof of Theorem 13.2.1 / 13.2.4：
Elements of Global Theory / 13.3：
Bifurcation of Umbilical Connections / 13.3.1：
Differential Equations / 14：
Characteristic Curve / 14.1：
Background and Notations / 14.1.1：
Theorem of Hartman and Wintner / 14.1.2：
Generic Singularities / 14.2：
Theorem of A. G. Kuzmin / 14.2.2：
Positive Differential 2-Forms / 15：
Space of Forms / 15.1：
Stable Subspace / 15.3.1：
Theorem of V. Guinez / 15.3.2：
Control Theory / B. Piccoli16：
Optimal Control / 16.1：
Optimal Flows / 16.3：
Generic Optimal Flows on the Plane / 16.4：
Optimal Flows on 2 Manifolds / 16.5：
Appendix / Part III：
Riemann Surfaces / 17：
Uniformization Theorem / 17.1：
Discrete Groups / 17.2：
Möbius Transformations / 17.2.1：
Fuchsian Group / 17.2.2：
Limit Set of Fuchsian Groups / 17.2.3：
Modular Group / 17.2.4：
Teichmuller Space / 17.2.5：
Conformal Invariants / 17.3.1：
Quasiconformal Mappings / 17.3.2：
Beltrami Equation / 17.3.3：
Ahlfors-Bers' Theorem / 17.3.4：
Geometry of Quadratic Differentials / 17.3.5：
Associated Metric / 17.3.6：
Isothermal Coordinates / 17.3.7：
Complex Curves / 17.4：
Projective Curves / 17.4.1：
Degree-Genus Formula / 17.4.2：
Elliptic Curves / 17.4.3：
Divisors and the Riemann-Roch Theorem / 17.4.4：
Application: Dimension of the Teichmuller Space / 17.4.5：
Bibliography
Index
Index of Notation
Foliations on 2-Manifolds / 0：
Notations / 0.1：
10.
図書
Roland Hagen, Steffen Roch, Bernd Silbermann
目次情報:
続きを見る
Preface
Introduction / 0：
Numerical analysis / 0.1：
Operator chemistry / 0.2：
The algebraic language of numerical analysis / 0.3：
Microscoping / 0.4：
A few remarks on economy / 0.5：
Brief description of the contents / 0.6：
Approximation methods / 1：
Basic definitions / 1.1.1：
Projection methods / 1.1.2：
Finite section method / 1.1.3：
Banach algebras and stability / 1.2：
Algebras, ideals and homomorphisms / 1.2.1：
Algebraization of stability / 1.2.2：
Small perturbations / 1.2.3：
Compact perturbations / 1.2.4：
Finite sections of Toeplitz operators with continuous generating function / 1.3：
Laurent, Toeplitz and Hankel operators / 1.3.1：
Invertibility and Fredholmness of Toeplitz operators / 1.3.2：
The finite section method / 1.3.3：
C*-algebras of approximation sequences / 1.4：
C*-algebras, their ideals and homomorphisms / 1.4.1：
The Toeplitz C*-algebra and the C*-algebra of the finite section method for Toeplitz operators / 1.4.2：
Stability of sequences in the C*-algebra of the finite section method for Toeplitz operators / 1.4.3：
Symbol of the finite section method for Toeplitz operators / 1.4.4：
Asymptotic behaviour of condition numbers / 1.5：
The condition of an operator / 1.5.1：
Convergence of norms / 1.5.2：
Condition numbers of finite sections of Toeplitz operators / 1.5.3：
Fractality of approximation methods / 1.6：
Fractal homomorphisms, fractal algebras, fractal sequences / 1.6.1：
Fractal algebras, and convergence of norms / 1.6.2：
Notes and references
Regularization of approximation methods / 2：
Stably regularizable sequences / 2.1：
Moore-Penrose inverses and regularizations of matrices / 2.1.1：
Moore-Penrose inverses and regularization of operators / 2.1.2：
Stably regularizable approximation sequences / 2.1.3：
Algebraic characterization of stably regularizable sequences / 2.2：
Moore-Penrose invertibility in C*-algebras / 2.2.1：
Stable regularizability, and Moore-Penrose invertibility in F/G / 2.2.2：
Finite sections of Toeplitz operators and their stable regularizability / 2.2.3：
Convergence of generalized condition numbers / 2.2.4：
Difficulties with Moore-Penrose stability / 2.2.5：
Approximation of spectra / 3：
Set sequences / 3.1：
Limiting sets of set functions / 3.1.1：
Coincidence of the partial and uniform limiting set / 3.1.2：
Spectra and their limiting sets / 3.2：
Limiting sets of spectra of norm convergent sequences / 3.2.1：
Limiting sets of spectra: the general case / 3.2.2：
The case of fractal sequences / 3.2.3：
Limiting sets of singular values / 3.2.4：
Pseudospectra and their limiting sets / 3.3：
[varepsilon]-invertibility / 3.3.1：
Limiting sets of pseudospectra / 3.3.2：
Pseudospectra of operator polynomials / 3.3.3：
Numerical ranges and their limiting sets / 3.4：
Spatial and algebraic numerical ranges / 3.4.1：
Limiting sets of numerical ranges / 3.4.2：
Stability analysis for concrete approximation methods / 3.4.3：
Local principles / 4.1：
Commutative C*-algebras / 4.1.1：
The local principle by Allan and Douglas / 4.1.2：
Fredholmness of Toeplitz operators with piecewise continuous generating function / 4.1.3：
Finite sections of Toeplitz operators generated by a piecewise continuous function / 4.2：
The lifting theorem / 4.2.1：
Application of the local principle / 4.2.2：
Galerkin methods with spline ansatz for singular integral equations / 4.2.3：
Finite sections of Toeplitz operators generated by a quasi-continuous function / 4.3：
Quasicontinuous functions / 4.3.1：
Stability of the finite section method / 4.3.2：
Some other classes of oscillating functions / 4.3.3：
Polynomial collocation methods for singular integral operators with piecewise continuous coefficients / 4.4：
Singular integral operators / 4.4.1：
Stability of the polynomial collocation method / 4.4.2：
Collocation versus Galerkin methods / 4.4.3：
Paired circulants and spline approximation methods / 4.5：
Circulants and paired circulants / 4.5.1：
The stability theorem / 4.5.2：
Finite sections of band-dominated operators / 4.6：
Multidimensional band dominated operators / 4.6.1：
Fredholmness of band dominated operators / 4.6.2：
Finite sections of band dominated operators / 4.6.3：
Representation theory / 5：
Representations / 5.1：
The spectrum of a C*-algebra / 5.1.1：
Primitive ideals / 5.1.2：
The spectrum of an ideal and of a quotient / 5.1.3：
Representations of some concrete algebras / 5.1.4：
Postliminal algebras / 5.2：
Liminal and postliminal algebras / 5.2.1：
Dual algebras / 5.2.2：
Finite sections of Wiener-Hopf operators with almost periodic generating function / 5.2.3：
Lifting theorems and representation theory / 5.3：
Lifting one ideal / 5.3.1：
Sufficient families of homomorphisms / 5.3.2：
Structure of fractal lifting homomorphisms / 5.3.4：
Fredholm sequences / 6：
Fredholm sequences in standard algebras / 6.1：
The standard model / 6.1.1：
Fredholm sequences and stable regularizability / 6.1.2：
Fredholm sequences and Moore-Penrose stability / 6.1.4：
Fredholm sequences and the asymptotic behavior of singular values / 6.2：
The main result / 6.2.1：
A distinguished element and its range dimension / 6.2.2：
Upper estimate of dim Im [Pi subscript n] / 6.2.3：
Lower estimate of dim Im [Pi subscript n] / 6.2.4：
Some examples / 6.2.5：
A general Fredholm theory / 6.3：
Centrally compact and Fredholm sequences / 6.3.1：
Fredholmness modulo compact elements / 6.3.2：
Weakly Fredholm sequences / 6.3.3：
Sequences with finite splitting property / 6.4.1：
Properties of weakly Fredholm sequences / 6.4.2：
Strong limits of weakly Fredholm sequences / 6.4.3：
Weakly Fredholm sequences of matrices / 6.4.4：
Some applications / 6.5：
Numerical determination of the kernel dimension / 6.5.1：
Around the finite section method for Toeplitz operators / 6.5.2：
Discretization of shift operators / 6.5.3：
Self-adjoint approximation sequences / 7：
The spectrum of a self-adjoint approximation sequence / 7.1：
Essential and transient points / 7.1.1：
Fractality of self-adjoint sequences / 7.1.2：
Arveson dichotomy: band operators / 7.1.3：
Arveson dichotomy: standard algebras / 7.1.4：
Szego-type theorems / 7.2：
Folner and Szego algebras / 7.2.1：
Szego's theorem revisited / 7.2.2：
A further generalization of Szego's theorem / 7.2.3：
Algebras with unique tracial state / 7.2.4：
Bibliography
Index
Preface
Introduction / 0：
Numerical analysis / 0.1：
11.
図書
M. Elwenspoek, R. Wiegerink
目次情報:
続きを見る
Introduction / 1：
MEMS / 2：
Miniaturisation and Systems / 2.1：
Examples for MEMS / 2.2：
Bubble Jet / 2.2.1：
Actuators / 2.2.2：
Micropumps / 2.2.3：
Small and Large: Scaling / 2.3：
Electromagnetic Forces / 2.3.1：
Coulomb Friction / 2.3.2：
Mechanical Strength / 2.3.3：
Dynamic Properties / 2.3.4：
Available Fabrication Technology / 2.4：
Technologies Based on Lithography / 2.4.1：
Silicon Micromachining / 2.4.1.1：
LIGA / 2.4.1.2：
Miniaturisation of Conventional Technologies / 2.4.2：
Introduction into Silicon Micromachining / 3：
Photolithography / 3.1：
Thin Film Deposition and Doping / 3.2：
Silicon Dioxide / 3.2.1：
Chemical Vapour Deposition / 3.2.2：
Evaporation / 3.2.3：
Sputterdeposition / 3.2.4：
Doping / 3.2.5：
Wet Chemical Etching / 3.3：
Isotropic Etching / 3.3.1：
Anisotropic Etching / 3.3.2：
Etch Stop / 3.3.3：
Waferbonding / 3.4：
Anodic Bonding / 3.4.1：
Silicon Fusion Bonding / 3.4.2：
Plasma Etching / 3.5：
Plasma / 3.5.1：
Anisotropic Plasma Etching Modes / 3.5.2：
Configurations / 3.5.3：
Black Silicon Method / 3.5.4：
Surface Micromachining / 3.6：
Thin Film Stress / 3.6.1：
Sticking / 3.6.2：
Mechanics of Membranes and Beams / 4：
Dynamics of the Mass Spring System / 4.1：
Strings / 4.2：
Beams / 4.3：
Stress and Strain / 4.3.1：
Bending Energy / 4.3.2：
Radius of Curvature / 4.3.3：
Lagrange Function of a Flexible Beam / 4.3.4：
Differential Equation for Beams / 4.3.5：
Boundary Conditions for Beams / 4.3.6：
Examples / 4.3.7：
Mechanical Stability / 4.3.8：
Transversal Vibration of Beams / 4.3.9：
Diaphragms and Membranes / 4.4：
Circular Diaphragms / 4.4.1：
Square Membranes / 4.4.2：
Buckling of Bridges / Appendix 4.1：
Principles of Measuring Mechanical Quantities: Transduction of Deformation / 5：
Metal Strain Gauges / 5.1：
Semiconductor Strain Gauges / 5.2：
Piezoresistive Effect in Single Crystalline Silicon / 5.2.1：
Piezoresistive Effect in Polysilicon Thin Films / 5.2.2：
Transduction from Deformation to Resistance / 5.2.3：
Capacitive Transducers / 5.3：
Electromechanics / 5.3.1：
Diaphragm Pressure Sensors / 5.3.2：
Force and Pressure Sensors / 6：
Force Sensors / 6.1：
Load Cells / 6.1.1：
Pressure Sensors / 6.2：
Piezoresistive Pressure Sensors / 6.2.1：
Capacitive Pressure Sensors / 6.2.2：
Force Compensation Pressure Sensors / 6.2.3：
Resonant Pressure Sensors / 6.2.4：
Miniature Microphones / 6.2.5：
Tactile Imaging Arrays / 6.2.6：
Acceleration and Angular Rate Sensors / 7：
Acceleration Sensors / 7.1：
Bulk Micromachined Accelerometers / 7.1.1：
Surface Micromachined Accelerometers / 7.1.3：
Force Feedback / 7.1.4：
Angular Rate Sensors / 7.2：
Flow sensors / 8：
The Laminar Boundary Layer / 8.1：
The Navier-Stokes Equations / 8.1.1：
Heat Transport / 8.1.2：
Hydrodynamic Boundary Layer / 8.1.3：
Thermal Boundary Layer / 8.1.4：
Skin Friction and Heat Transfer / 8.1.5：
Heat Transport in the Limit of Very Small Reynolds Numbers / 8.2：
Thermal Flow Sensors / 8.3：
Anemometer Type Flow Sensors / 8.3.1：
Two-Wire Anemometers / 8.3.2：
Calorimetric Type Flow Sensors / 8.3.3：
Sound Intensity Sensors - The Microflown / 8.3.4：
Time of Flight Sensors / 8.3.5：
Skin Friction Sensors / 8.4：
"Dry Fluid Flow" Sensors / 8.5：
"Wet Fluid Flow" Sensors / 8.6：
Resonant Sensors / 9：
Basic Principles and Physics / 9.1：
The Differential Equation of a Prismatic Microbridge / 9.1.1：
Solving the Homogeneous, Undamped Problem using Laplace Transforms / 9.1.3：
Solving the Inhomogeneous Problem by Modal Analysis / 9.1.4：
Response to Axial Loads / 9.1.5：
Quality Factor / 9.1.6：
Nonlinear Large-Amplitude Effects / 9.1.7：
Excitation and Detection Mechanisms / 9.2：
Electrostatic Excitation and Capacitive Detection / 9.2.1：
Magnetic Excitation and Detection / 9.2.2：
Piezoelectric Excitation and Detection / 9.2.3：
Electrothermal Excitation and Piezoresistive Detection / 9.2.4：
Optothermal Excitation and Optical Detection / 9.2.5：
Dielectric Excitation and Detection / 9.2.6：
Examples and Applications / 9.3：
Electronic Interfacing / 10：
Piezoresistive Sensors / 10.1：
Wheatstone Bridge Configurations / 10.1.1：
Amplification of the Bridge Output Voltage / 10.1.2：
Noise and Offset / 10.1.3：
Feedback Control Loops / 10.1.4：
Interfacing with Digital Systems / 10.1.5：
Analog-to-Digital Conversion / 10.1.5.1：
Voltage to Frequency Converters / 10.1.5.2：
Capacitive Sensors / 10.2：
Impedance Bridges / 10.2.1：
Capacitance Controlled Oscillators / 10.2.2：
Frequency Dependent Behavior of Resonant Sensors / 10.3：
Realizing an Oscillator / 10.3.2：
One-Port Versus Two-Port Resonators / 10.3.3：
Oscillator Based on One-Port Electrostatically Driven Beam Resonator / 10.3.4：
Oscillator Based on Two-Port Electrodynamically Driven H-shaped Resonator / 10.3.5：
Packaging / 11：
Packaging Techniques / 11.1：
Standard Packages / 11.1.1：
Chip Mounting Methods / 11.1.2：
Wafer Level Packaging
Interconnection Techniques / 11.1.3：
Multichip Modules / 11.1.4：
Encapsulation Processes / 11.1.5：
Stress Reduction / 11.2：
Inertial Sensors / 11.3：
References / 11.5：
Index
Introduction / 1：
MEMS / 2：
Miniaturisation and Systems / 2.1：
12.
図書
George Greaves
目次情報:
続きを見る
Introduction
The Structure of Sifting Arguments / 1：
The Sieves of Eratosthenes and Legendre / 1.1：
The Contribution of Eratosthenes / 1.1.1：
Legendre's Sieve / 1.1.2：
An Estimate for n(X) / 1.1.3：
The Distribution of Primes / 1.1.4：
Examples of Sifting Situations / 1.2：
Notations / 1.2.1：
The Integers in an Interval (Y - X, Y ) / 1.2.2：
Numbers Given by Polynomial Expressions / 1.2.3：
Arithmetic Progressions / 1.2.4：
Sums of Two Squares / 1.2.5：
Polynomials with Prime Arguments / 1.2.6：
A General Formulation of a Sifting Situation / 1.3：
The Basic Formulation / 1.3.1：
Legendre's Sieve in a General Setting / 1.3.2：
A Generalised Formulation / 1.3.3：
A Further Generalisation / 1.3.4：
Sifting Density / 1.3.5：
The Sifting Limit Β(k) / 1.3.6：
Composition of Sieves / 1.3.7：
Notes on Chapter 1 / 1.4：
Selberg's Upper Bound Method / 2：
The Sifting Apparatus / 2.1：
Selberg's Theorem / 2.1.1：
The Numbers (lambda)(d) / 2.1.2：
A Simple Application / 2.1.3：
General Estimates of G(x) and E(D, P) / 2.2：
An Estimate by Rankin's Device / 2.2.1：
Asymptotic Formulas / 2.2.2：
The Error Term / 2.2.3：
Applications / 2.3：
Prime Twins and Goldbach's Problem / 2.3.1：
Polynomial Sequences / 2.3.3：
Notes on Chapter 2 / 2.4：
Combinatorial Methods / 3：
The Construction of Combinatorial Sieves / 3.1：
Preliminary Discussion of Brun's Ideas / 3.1.1：
Fundamental Inequalities and Identities / 3.1.2：
Buchstab's Identity / 3.1.3：
The Combinatorial Sieve Lemma / 3.1.4：
Brun's Pure Sieve / 3.2：
Inequalities and Identities / 3.2.1：
The "Pure Sieve" Theorem / 3.2.2：
A Corollary / 3.2.3：
Prime Twins / 3.2.4：
A Modern Edition of Brun's Sieve / 3.3：
Rosser's Choice of X / 3.3.1：
A Technical Estimate / 3.3.2：
A Simplifying Approximation / 3.3.3：
A Combinatorial Sieve Theorem / 3.3.4：
Brun's Version of his Method / 3.3.5：
Brun's Choice of x / 3.4.1：
The Estimations / 3.4.2：
The Result / 3.4.3：
Notes on Chapter 3 / 3.5：
Rosser's Sieve / 4：
Approximations by Continuous Functions / 4.1：
The Recurrence Relations / 4.1.1：
Partial Summation / 4.1.2：
The Leading Terms / 4.1.3：
The Functions F and f / 4.2：
The Difference-Differential Equations / 4.2.1：
The Adjoint Equation and the Inner Product / 4.2.2：
Solutions of the Adjoint Equation / 4.2.3：
Particular Values of F(s) and f(s) / 4.2.4：
Asymptotic Analysis as k -> $(infinity$) / 4.2.5：
The Convergence Problem / 4.3：
The Auxiliary Functions / 4.3.1：
Adjoints and Inner Products / 4.3.2：
The Case k
A Sieve Theorem Following Rosser / 4.4：
The Case k >/= 1/2: a First Result / 4.4.1：
Theorem 1 when k
An Improved Version of Proposition 1 / 4.4.3：
A Two-Sided Estimate / 4.4.4：
Extremal Examples / 4.5：
The Linear Case / 4.5.1：
The Case k=1/2 / 4.5.2：
Notes on Chapter 4 / 4.6：
The Sieve with Weights / 5：
Simpler Weighting Devices / 5.1：
Logarithmic Weights / 5.1.1：
Modified Logarithmic Weights / 5.1.2：
Some Applications / 5.1.3：
More Elaborate Weighted Sieves / 5.2：
An Improved Weighting Device / 5.2.1：
Buchstab's Weights / 5.2.2：
A Weighted Sieve Following Rosser / 5.3：
Combining Sieving and Weighting / 5.3.1：
The Reduction Identities / 5.3.2：
An Identity for the Main Term / 5.3.3：
The Estimate for the Main Term / 5.3.4：
Notes on Chapter 5 / 5.4：
The Remainder Term in the Linear Sieve / 6：
The Bilinear Nature of Rosser's Construction / 6.1：
The Factorisation of x.d / 6.1.1：
Discretisations of Rosser's Sieve / 6.1.2：
Specification of Details / 6.1.3：
The Leading Contributions to the Main Term / 6.1.4：
The Remainder Term / 6.1.5：
Sifting Short Intervals / 6.2：
The Smoothed Formulation / 6.2.1：
The Remainder Sums / 6.2.2：
Trigonometrical Sums / 6.2.3：
Notes on Chapter 6 / 6.3：
Lower Bound Sieves when k > 1 / 7：
An Extension of Selberg's Upper Bound / 7.1：
The Integral Equation and the Function $(sigma$) (s) / 7.1.1：
The Estimation of G(s) / 7.1.2：
A Lower Bound Sieve via Buchstab's Identity / 7.2：
Buchstab's Iterations / 7.2.1：
The Buchstab Transform of the $(lambda$)2 Method / 7.2.2：
The Sifting Limit as k -> $(infinity$) / 7.2.3：
Selberg's a2 a" Method / 7.3：
The Improved Sifting Limit for Large k / 7.3.1：
Notes on Chapter 7 / 7.4：
References
Index
Introduction
The Structure of Sifting Arguments / 1：
The Sieves of Eratosthenes and Legendre / 1.1：
13.
図書
Sen Hu
出版情報:
Singapore ; London : World Scientific, c2001 xii, 200 p. ; 22 cm
子書誌情報:
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所蔵情報:
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目次情報:
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Preface
Examples of Quantizations / Chapter 1：
Quantization of R[superscript 2] / 1.1：
Classical mechanics / 1.1.1：
Symplectic method / 1.1.2：
Holomorphic method / 1.1.3：
Holomorphic representation of symplectic quotients and its quantization / 1.2：
An example of circle action / 1.2.1：
Moment map of symplectic actions / 1.2.2：
Some geometric invariant theory / 1.2.3：
Grassmanians / 1.2.4：
Calabi-Yau/Ginzburg-Landau correspondence / 1.2.5：
Quantization of symplectic quotients / 1.2.6：
Classical Solutions of Gauge Field Theory / Chapter 2：
Moduli space of classical solutions of Chern-Simons action / 2.1：
Symplectic reduction of gauge fields over a Riemann surface / 2.1.1：
Chern-Simons action on a three manifold / 2.1.2：
Maxwell equations and Yang-Mills equations / 2.2：
Maxwell equations / 2.2.1：
Yang-Mills equations / 2.2.2：
Vector bundle, Chern classes and Chern-Weil theory / 2.3：
Vector bundle and connection / 2.3.1：
Curvature, Chern classes and Chern-Weil theory / 2.3.2：
Quantization of Chern-Simons Action / Chapter 3：
Introduction / 3.1：
Some formal discussions on quantization / 3.2：
Pre-quantization / 3.3：
M as a complex variety / 3.3.1：
Quillen's determinant bundle on M and the Laplacian / 3.3.2：
Some Lie groups / 3.4：
G = R / 3.4.1：
G = S[superscript 1] = R/2[pi]Z / 3.4.2：
T*G / 3.4.3：
Compact Lie groups, G = SU (2) / 3.5：
Genus one / 3.5.1：
Riemann sphere with punctures / 3.5.2：
Higher genus Riemann surface / 3.5.3：
Relation with WZW model and conformal field theory / 3.5.4：
Independence of complex structures / 3.6：
Borel-Weil-Bott theorem of representation of Lie groups / 3.7：
Chern-Simons-Witten Theory and Three Manifold Invariant / Chapter 4：
Representation of mapping class group and three manifold invariant / 4.1：
Knizhik-Zamolodchikov equations and conformal blocks / 4.1.1：
Braiding and fusing matrices / 4.1.2：
Projective representation of mapping class group / 4.1.3：
Three-dimensional manifold invariants via Heegard decomposition / 4.1.4：
Calculations by topological quantum field theory / 4.2：
Atiyah's axioms / 4.2.1：
An example: connected sum / 4.2.2：
Jones polynomials / 4.2.3：
Surgery / 4.2.4：
Verlinde's conjecture and its proof / 4.2.5：
A brief survey on quantum group method / 4.3：
Algebraic representation of knot / 4.3.1：
Hopf algebra and quantum groups / 4.3.2：
Chern-Simons theory and quantum groups / 4.3.3：
Renormalized Perturbation Series of Chern-Simons-Witten Theory / Chapter 5：
Path integral and morphism of Hilbert spaces / 5.1：
One-dimensional quantum field theory / 5.1.1：
Schroedinger operator / 5.1.2：
Spectrum and determinant / 5.1.3：
Asymptotic expansion and Feynman diagrams / 5.2：
Asymptotic expansion of integrals, finite dimensional case / 5.2.1：
Integration on a sub-variety / 5.2.2：
Partition function and topological invariants / 5.3：
Gauge fixing and Faddeev-Popov ghosts / 5.3.1：
The leading term / 5.3.2：
Wilson line and link invariants / 5.3.3：
A brief introduction on renormalization of Chern-Simons theory / 5.4：
A regulization scheme / 5.4.1：
The Feynman rules / 5.4.2：
Topological Sigma Model and Localization / Chapter 6：
Constructing knot invariants from open string theory / 6.1：
A topological sigma model / 6.1.1：
Localization principle / 6.1.3：
Large N expansion of Chern-Simons gauge theory / 6.1.4：
Equivariant cohomology and localization / 6.2：
Equivariant cohomology / 6.2.1：
Localization, finite dimensional case / 6.2.2：
Atiyah-Bott's residue formula and Duistermaat-Heckman formula / 6.3：
Complex case, Atiyah-Bott's residue formula / 6.3.1：
Symplectic case, Duistermaat-Heckman formula / 6.3.2：
2D Yang-Mills theory by localization principle / 6.4：
Cohomological Yang-Mills field theory / 6.4.1：
Relation with physical Yang-Mills theory / 6.4.2：
Evaluation of Yang-Mills theory / 6.4.3：
Combinatorial approach to 2D Yang-Mills theory / 6.5：
Complex Manifold Without Potential Theory / S. S. Chern
Geometric Quantization of Chern-Simons Gauge Theory / S. Axelrod ; S. D. Pietra ; E. Witten
On Holomorphic Factorization of WZW and Coset Models
Bibliography
Index
Afterwards
Preface
Examples of Quantizations / Chapter 1：
Quantization of R[superscript 2] / 1.1：
14.
図書
Vladimir Medved
出版情報:
Boca Raton, Fla. : CRC Press, c2001 xiii, 255 p. ; 25 cm
子書誌情報:
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目次情報:
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Introduction / Chapter 1：
About the Book / 1.1：
The History of Locomotion Measurement / 1.2：
Methodological Background / Chapter 2：
Biomechanical Modeling of the Human Body and the Inverse Dynamic Approach / 2.1：
Neurophysiology of Locomotion / 2.2：
Reciprocal Inhibition / 2.2.1：
The Placing Reaction and Reflex Reversal / 2.2.2：
Automatic Generation of Locomotor Patterns / 2.2.3：
Hierarchical Organization of Motor Control / 2.2.4：
Computational Neuroscience and Locomotion / 2.2.5：
The Peripheral Neuromuscular System / 2.2.6：
Biomechanical Modeling of Skeletal Muscle / 2.3：
General Properties of Locomotion Measurement Systems / Chapter 3：
Structure of a Measurement System / 3.1：
Analog-to-Digital Conversion of Signals / 3.2：
Sampling / 3.2.1：
Conversion of the Sampled Signal / 3.2.2：
Technical Realization of the Analog-to-Digital Converter / 3.2.3：
Requirements of Locomotion Measurement Systems / 3.3：
Measurement of Locomotion Kinematics / Chapter 4：
Exoskeletal Systems / 4.1：
Stereometric Methods / 4.2：
Stereophotogrammetric Methods / 4.2.1：
Close-Range Analytical Photogrammetry Fundamentals / 4.2.1.1：
The High-Speed Photography Method / 4.2.1.2：
Optoelectronic Methods / 4.2.1.3：
Light Scanning-Based Methods / 4.2.1.4：
Stereometric Methods--Final Considerations, Signal Processing Aspects, and Computer Vision Issues / 4.2.1.5：
Accelerometry / 4.3：
Kinematic Data Processing / 4.4：
Sources of Errors in Kinematic Measurements / 4.4.1：
Filtering and Numerical Differentiation of Kinematic Data / 4.4.2：
Measurement of Kinetic Variables / Chapter 5：
Ground Reaction Force Measuring Platforms / 5.1：
The Strain Gage Transducer-Based Platform / 5.1.1：
The Strain Gage Sensor / 5.1.1.1：
Platform Construction / 5.1.1.2：
The Piezoelectric Transducer-Based Platform / 5.1.2：
The Piezoelectric Effect / 5.1.2.1：
Mounting the Force Platform / 5.1.2.2：
Applications of the Force Platform / 5.1.4：
Walking and Running / 5.1.4.1：
Take-Off Ability / 5.1.4.2：
Kinetic Signal Representation / 5.1.5：
Vector Diagram / 5.1.5.1：
Stabilometry / 5.1.5.2：
Pressure Distribution Measurement Systems / 5.2：
Historical Development / 5.2.1：
Solutions and Examples of Use / 5.2.2：
Platforms / 5.2.2.1：
Shoe Insoles / 5.2.2.2：
Clinical Findings and Standardization of Measurement / 5.2.3：
Measurement of Myoelectric Variables / Chapter 6：
The Neuromuscular System and Bioelectricity: A Historical Survey / 6.1：
The Myoelectric Signal Model / 6.2：
Kinesiological Electromyography / 6.3：
Surface Electromyography / 6.3.1：
Surface Electrodes in Electromyography / 6.3.1.1：
Myoelectric Signal Amplifiers / 6.3.1.2：
EMG Telemetry / 6.3.2：
Myoelectric Signal Processing / 6.4：
Time Domain Processing Methods / 6.4.1：
Processing in the Frequency Domain / 6.4.2：
Normalization / 6.4.3：
EMG Signal as an Estimate of Muscle Force / 6.4.4：
Multichannel EMG Signal Processing / 6.4.5：
Applications of Surface Electromyography / 6.5：
Backward Somersault in Gymnastics / 6.5.1：
Comprehensive Locomotion Diagnostic Systems and Future Prospects / Chapter 7：
Comprehensive Biomechanical Measurements and Clinical Applications / 7.1：
Development of Methodology of Marker-Free Kinematic Measurements / 7.2：
References
Appendix 1
Appendix 2
Index
Introduction / Chapter 1：
About the Book / 1.1：
The History of Locomotion Measurement / 1.2：
15.
図書
Franz J. Vesely
出版情報:
New York : Kluwer Academic/Plenum Publishers, c2001 xvi, 259 p. ; 26 cm
子書誌情報:
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所蔵情報:
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目次情報:
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The Three Pillars of Computational Physics / I：
Finite Differences / 1：
Interpolation Formulae / 1.1：
NGF Interpolation / 1.1.1：
NGB Interpolation / 1.1.2：
ST Interpolation / 1.1.3：
Difference Quotients / 1.2：
DNGF Formulae / 1.2.1：
DNGB Formulae / 1.2.2：
DST Formulae / 1.2.3：
Finite Differences in Two Dimensions / 1.3：
Sample Applications / 1.4：
Classical Point Mechanics / 1.4.1：
Diffusion and Thermal Conduction / 1.4.2：
Linear Algebra / 2：
Exact Methods / 2.1：
Gauss Elimination and Back Substitution / 2.1.1：
Simplifying Matrices: The Householder Transformation / 2.1.2：
LU Decomposition / 2.1.3：
Tridiagonal Matrices: Recursion Method / 2.1.4：
Iterative Methods / 2.2：
Jacobi Relaxation / 2.2.1：
Gauss-Seidel Relaxation (GSR) / 2.2.2：
Successive Over-Relaxation (SOR) / 2.2.3：
Alternating Direction Implicit Method (ADI) / 2.2.4：
Conjugate Gradient Method (CG) / 2.2.5：
Eigenvalues and Eigenvectors / 2.3：
Largest Eigenvalue and Related Eigenvector / 2.3.1：
Arbitrary Eigenvalue/-vector: Inverse Iteration / 2.3.2：
Potential Equation / 2.4：
Electronic Orbitals / 2.4.3：
Stochastics / 3：
Equidistributed Random Variates / 3.1：
Linear Congruential Generators / 3.1.1：
Shift Register Generators / 3.1.2：
Other Distributions / 3.2：
Fundamentals / 3.2.1：
Transformation Method / 3.2.2：
Generalized Transformation Method / 3.2.3：
Rejection Method / 3.2.4：
Multivariate Gaussian Distribution / 3.2.5：
Equidistribution in Orientation Space / 3.2.6：
Random Sequences / 3.3：
Markov Processes / 3.3.1：
Autoregressive Processes / 3.3.3：
Wiener-Levy Process / 3.3.4：
Markov Chains and the Monte Carlo method / 3.3.5：
Stochastic Optimization / 3.4：
Simulated Annealing / 3.4.1：
Genetic Algorithms / 3.4.2：
Everything Flows / II：
Ordinary Differential Equations / 4：
Initial Value Problems of First Order / 4.1：
Euler-Cauchy Algorithm / 4.1.1：
Stability and Accuracy of Difference Schemes / 4.1.2：
Explicit Methods / 4.1.3：
Implicit Methods / 4.1.4：
Predictor-Corrector Method / 4.1.5：
Runge-Kutta Method / 4.1.6：
Extrapolation Method / 4.1.7：
Initial Value Problems of Second Order / 4.2：
Verlet Method / 4.2.1：
Nordsieck Formulation of the PC Method / 4.2.2：
Symplectic Algorithms / 4.2.4：
Numerov's Method / 4.2.6：
Boundary Value Problems / 4.3：
Shooting Method / 4.3.1：
Relaxation Method / 4.3.2：
Partial Differential Equations / 5：
Initial Value Problems I (Hyperbolic) / 5.1：
FTCS Scheme; Stability Analysis / 5.1.1：
Lax Scheme / 5.1.2：
Leapfrog Scheme (LF) / 5.1.3：
Lax-Wendroff Scheme (LW) / 5.1.4：
Lax and Lax-Wendroff in Two Dimensions / 5.1.5：
Initial Value Problems II (Parabolic) / 5.2：
FTCS Scheme / 5.2.1：
Implicit Scheme of First Order / 5.2.2：
Crank-Nicholson Scheme (CN) / 5.2.3：
Dufort-Frankel Scheme (DF) / 5.2.4：
Boundary Value Problems: Elliptic DE / 5.3：
Relaxation and Multigrid Techniques / 5.3.1：
ADI Method for the Potential Equation / 5.3.2：
Fourier Transform Method (FT) / 5.3.3：
Cyclic Reduction (CR) / 5.3.4：
Anchors Aweigh / III：
Simulation and Statistical Mechanics / 6：
Model Systems of Statistical Mechanics / 6.1：
A Nutshellfull of Fluids and Solids / 6.1.1：
Tricks of the Trade / 6.1.2：
Monte Carlo Method / 6.2：
Molecular Dynamics Simulation / 6.3：
Hard Spheres / 6.3.1：
Continuous Potentials / 6.3.2：
Beyond Basic Molecular Dynamics / 6.3.3：
Evaluation of Simulation Experiments / 6.4：
Pair Correlation Function / 6.4.1：
Autocorrelation Functions / 6.4.2：
Particles and Fields / 6.5：
Ewald summation / 6.5.1：
Particle-Mesh Methods (PM and P3M) / 6.5.2：
Stochastic Dynamics / 6.6：
Quantum Mechanical Simulation / 7：
Diffusion Monte Carlo (DMC) / 7.1：
Path Integral Monte Carlo (PIMC) / 7.2：
Wave Packet Dynamics (WPD) / 7.3：
Density Functional Molecular Dynamics (DFMD) / 7.4：
Hydrodynamics / 8：
Compressible Flow without Viscosity / 8.1：
Explicit Eulerian Methods / 8.1.1：
Particle-in-Cell Method (PIC) / 8.1.2：
Smoothed Particle Hydrodynamics (SPH) / 8.1.3：
Incompressible Flow with Viscosity / 8.2：
Vorticity Method / 8.2.1：
Pressure Method / 8.2.2：
Free Surfaces: Marker-and-Cell Method (MAC) / 8.2.3：
Lattice Gas Models for Hydrodynamics / 8.3：
Lattice Gas Cellular Automata / 8.3.1：
The Lattice Boltzmann Method / 8.3.2：
Direct Simulation Monte Carlo / Bird method / 8.4：
Appendixes
Machine Errors / A：
Discrete Fourier Transformation / B：
Fast Fourier Transform (FFT) / B.1：
Bibliography
Index
The Three Pillars of Computational Physics / I：
Finite Differences / 1：
Interpolation Formulae / 1.1：
16.
図書
Josef Pauli
目次情報:
続きを見る
Introduction / 1：
Need for New-Generation Robot Systems / 1.1：
Paradigms of Computer Vision (CV) and Robot Vision (RV) / 1.2：
Characterization of Computer Vision / 1.2.1：
Ch aracterization of Robot Vision / 1.2.2：
Robot Systems versus Autonomous Robot Systems / 1.3：
Characterization of a Robot System / 1.3.1：
Characterization of an Autonomous Robot System / 1.3.2：
Autonomous Camera-Equipped Robot System / 1.3.3：
Important Role of Demonstration and Learning / 1.4：
Learning Feature Compatibilities under Real Imaging / 1.4.1：
Learning Feature Manifolds of Real World Situations / 1.4.2：
Learning Environment-Effector-Image Relationships / 1.4.3：
Compatibilities, Manifolds, and Relationships / 1.4.4：
Ch apter Overview of th e Work / 1.5：
Compatibilities for Object Boundary Detection / 2：
Introduction to th e Ch apter / 2.1：
General Context of th e Ch apter / 2.1.1：
Object Localization and Boundary Extraction / 2.1.2：
Detailed Review of Relevant Literature / 2.1.3：
Outline of th e Sections in th e Ch apter / 2.1.4：
Geometric/Photometric Compatibility Principles / 2.2：
HoughTransformation for Line Extraction / 2.2.1：
Orientation Compatibility between Lines and Edges / 2.2.2：
Junction Compatibility between Pencils and Corners / 2.2.3：
Compatibility-Based Structural Level Grouping / 2.3：
HoughPeaks for Approximate Parallel Lines / 2.3.1：
Phase Compatibility between Parallels and Ramps / 2.3.2：
Extraction of Regular Quadrangles / 2.3.3：
Extraction of Regular Polygons / 2.3.4：
Compatibility-Based Assembly Level Grouping / 2.4：
Focusing Image Processing on Polygonal Windows / 2.4.1：
Vanishing-Point Compatibility of Parallel Lines / 2.4.2：
Pencil Compatibility of Meeting Boundary Lines / 2.4.3：
Boundary Extraction for Approximate Polyhedra / 2.4.4：
Geometric Reasoning for Boundary Extraction / 2.4.5：
Visual Demonstrations for LearningDegrees ofCompatibility / 2.5：
LearningDegreeofLine/EdgeOrientationCompatibility / 2.5.1：
LearningDegreeofParallel/RampPhaseCompatibility / 2.5.2：
Learning Degree of Parallelism Compatibility / 2.5.3：
Summary and Discussion of th e Ch apter / 2.6：
Manifolds for Object and Situation Recognition / 3：
Approachfor Object and Situation Recognition / 3.1：
Learning Pattern Manifolds withGBFs and PCA / 3.1.3：
Compatibility and Discriminability for Recognition / 3.2.1：
Regularization Principles and GBF Networks / 3.2.2：
Canonical FrameswithPrincipalComponent Analysis.116 / 3.2.3：
GBF Networks for Approximation of Recognition Functions / 3.3：
Approachof GBF Network Learning for Recognition / 3.3.1：
Object Recognition under Arbitrary View Angle / 3.3.2：
Object Recognition for Arbitrary View Distance / 3.3.3：
Scoring of Grasping Situations / 3.3.4：
SophisticatedManifoldApproximationforRobustRecognition.133 / 3.4：
Making Manifold Approximation Tractable / 3.4.1：
Log-Polar Transformation for Manifold Simplification.137 / 3.4.2：
Space-Time Correlations for Manifold Refinement / 3.4.3：
Learning Strategy withPCA/GBF Mixtures / 3.4.4：
Learning-Based Achievement of RV Competences / 3.5：
Learning Beh avior-Based Systems / 4.1：
Integrating Deliberate Strategies and Visual Feedback / 4.1.3：
Dynamical Systems and Control Mechanisms / 4.2.1：
Generic Modules for System Development / 4.2.2：
Treatment of an Exemplary High-Level Task / 4.3：
Description of an Exemplary High-Level Task / 4.3.1：
Localization of a Target Object in the Image / 4.3.2：
Determining and Reconstructing Obstacle Objects / 4.3.3：
Approaching and Grasping Obstacle Objects / 4.3.4：
Clearing Away Obstacle Objects on a Parking Area / 4.3.5：
Inspection and/or Manipulation of a Target Object / 4.3.6：
Monitoring the Task-Solving Process / 4.3.7：
Overall Task-Specific Configuration of Modules / 4.3.8：
Basic Mechanisms for Camera-Robot Coordination / 4.4：
Camera-Manipulator Relation for One-Step Control / 4.4.1：
Camera-Manipulator Relation for Multi-step Control.245 / 4.4.2：
Hand Servoing for Determining the Optical Axis / 4.4.3：
Determining th e Field of Sh arp View / 4.4.4：
Summary and Discussion / 4.5：
Developing Camera-Equipped Robot Systems / 5.1：
Rationale for th e Contents of Th is Work / 5.2：
Proposals for Future Research Topics / 5.3：
Ellipsoidal Interpolation / Appendix 1：
Further Behavioral Modules / Appendix 2：
Symbols
Index
References
Introduction / 1：
Need for New-Generation Robot Systems / 1.1：
Paradigms of Computer Vision (CV) and Robot Vision (RV) / 1.2：
17.
図書
Feng Liu
出版情報:
Boca Raton, Fla. : Lewis, c2001 367 p. ; 24 cm
子書誌情報:
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所蔵情報:
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目次情報:
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Environmental Justice, Equity, and Policies / Chapter 1：
The Environmental Justice Movement / 1.1：
Environmental Justice Policies / 1.2：
Environmental Justice Analysis / 1.3：
The Debate on Terminology / 1.4：
Overview of this Book / 1.5：
Theories and Hypotheses / Chapter 2：
Theories of Justice and Equity / 2.1：
Utilitarianism / 2.1.1：
Contractarianism and Egalitarianism / 2.1.2：
Libertarianism / 2.1.3：
Which Theory? / 2.1.4：
Economic Theory and Location Theory / 2.2：
Externality and Public Goods / 2.2.1：
Welfare Economics / 2.2.2：
Residential Location Theory / 2.2.3：
Industrial Location Theory / 2.2.4：
Theories of Risk / 2.3：
Psychometric Theory / 2.3.1：
Expected Utility Theory / 2.3.2：
Cultural Theory / 2.3.3：
Sociological Theory / 2.3.4：
Theories of Neighborhood Change / 2.4：
Classical Invasion-Succession Model / 2.4.1：
Neighborhood Life-Cycle Model / 2.4.2：
Push-Pull Model / 2.4.3：
Institutional Theory of Neighborhood Change / 2.4.4：
Summary / 2.5：
Methodology and Analytical Framework for Environmental Justice and Equity Analysis / Chapter 3：
Inquiry and Environmental Justice Analysis / 3.1：
Positivism and Participatory Research / 3.1.1：
Scientific Reasoning / 3.1.2：
Validity / 3.1.3：
Causality / 3.1.4：
Methodological Issues in Environmental Justice Research / 3.2：
Integrated Analytical Framework / 3.3：
Measuring Environmental and Human Impacts / Chapter 4：
Environmental and Human Impacts: Concepts and Processes / 4.1：
Modeling and Simulating Environmental Risks / 4.2：
Modeling Exposure / 4.2.1：
Emission Models / 4.2.1.1：
Dispersion Models / 4.2.1.2：
Time-Activity Patterns and Exposure Models / 4.2.1.3：
Modeling Dose-Response / 4.2.2：
Measuring and Modeling Economic Impacts / 4.3：
Contingent Valuation Method / 4.3.1：
Hedonic Price Method / 4.3.2：
Measuring Environmental and Human Impacts for Environmental Justice Analysis / 4.4：
Critique and Response of a Risk-Based Approach to Equity Analysis / 4.5：
Quantifying and Projecting Population Distribution / 4.6：
Census / 5.1：
Population Measurements: Who Is Disadvantaged? / 5.2：
Race and Ethnicity / 5.2.1：
Income / 5.2.2：
Highly Susceptible of Exposed Subpopulations / 5.2.3：
Age / 5.2.4：
Housing / 5.2.5：
Education / 5.2.6：
Population Distribution / 5.3：
Population Projection and Forecast / 5.4：
Methods / 5.4.1：
Choosing the Right Method / 5.4.2：
Defining Units of Analysis / 5.5：
The Debate on Choice of Unit of Analysis / 6.1：
Census Geography: Concepts, Criteria, and Hierarchy / 6.2：
Basic Hierarchy: Standard Geographic Units / 6.2.1：
Non-Standard Geographic Units / 6.2.2：
Census Geography as a Unit of Equity Analysis: Consistency, Comparability, and Availability / 6.3：
Hierarchical Relationship and Geographic Boundary / 6.3.1：
Boundary Comparability over Time / 6.3.2：
Data Availability and Comparability over Time / 6.3.3：
Census Geography as a Unit of Equity Analysis: Which One? / 6.4：
Alternative Units of Analysis / 6.5：
Based on the Boundary of Environmental Impacts / 6.5.1：
Based on the Boundary of Sociological Neighborhood / 6.5.2：
Based on the Boundary of Economic Impacts / 6.5.3：
Based on the Administrative/Political Boundary or Judicial Opinions / 6.5.4：
Analyzing Data with Statistical Methods / 6.6：
Descriptive Statistics / 7.1：
Inferential Statistics / 7.2：
Correlation and Regression / 7.3：
Probability and Discrete Choice Models / 7.4：
Spatial Statistics / 7.5：
Applications of Statistical Methods in Environmental Justice Studies / 7.6：
Integrating, Analyzing, and Mapping Data with GIS / Chapter 8：
Spatial Measures and Concepts / 8.1：
Spatial Data / 8.1.1：
Spatial Data Structure / 8.1.2：
Distance / 8.1.3：
Centroid / 8.1.4：
Spatial Interpolation / 8.2：
Point Interpolation / 8.2.1：
Areal Interpolation / 8.2.2：
GIS-Based Units of Analysis for Equity Analysis / 8.3：
Adjacency Analysis / 8.3.1：
Buffer Analysis / 8.3.2：
Overlay and Suitability Analysis / 8.4：
GIS-Based Operationalization of Equity Criteria / 8.5：
Integrating GIS and Urban and Environmental Models / 8.6：
Modeling Urban Systems / Chapter 9：
Gravity Models, Spatial Interaction, and Entropy Maximization / 9.1：
Deterministic Utility, Random Utility, and Discrete Choice / 9.2：
Deterministic Utility and Optimization / 9.2.1：
Random Utility Theory and Discrete Choice / 9.2.2：
Policy Evaluation Measures / 9.3：
Operational Models / 9.4：
Integrating Urban and Environmental Models for Environmental Justice Analysis / 9.5：
Equity Analysis of Air Pollution / Chapter 10：
Air Quality / 10.1：
Relationship between Air Quality and Population Distribution: Theories, Methods, and Evidence / 10.2：
Theories / 10.2.1：
Residential Location Theory and Spatial Interaction / 10.2.1.1：
Risk Perception and Human Response to Air Quality / 10.2.1.2：
Theories of Neighborhood Changes / 10.2.1.3：
Evidence / 10.2.2：
Spatial Interaction Modeling Approach to Testing Environmental Inequity / 10.3：
Problem Definition / 10.3.1：
Hypothesis / 10.3.2：
Methods: Spatial Interaction Modeling Using DRAM / 10.3.3：
Index Construction and Data Preparation / 10.3.4：
Model Estimation / 10.3.5：
Results / 10.3.6：
Los Angeles / 10.3.6.1：
Houston / 10.3.6.2：
Discussions and Conclusions / 10.3.7：
Equity Analysis of National Ambient Air Quality Standards / 10.4：
Results and Discussion / 10.4.1：
Nonattainment Areas as a Whole / 10.4.3.1：
Spatial Distribution and Regional Differences / 10.4.3.2：
City vs. Non-City Nonattainment Areas / 10.4.3.3：
Major Findings / 10.4.3.4：
Implications for Environmental Policy / 10.4.3.5：
Environmental Justice Analysis of Hazardous Waste Facilities, Superfund Sites, and Toxic Release Facilities / Chapter 11：
Equity Analysis of Hazardous Waste Facilities / 11.1：
Hazardous Wastes / 11.1.1：
Cross-Sectional National Studies / 11.1.2：
Regional Studies / 11.1.2.2：
Methodological Issues / 11.1.3：
Equity Analysis of CERCLIS and Superfund Sites / 11.2：
CERCLIS and Superfund Sites / 11.2.1：
Hypotheses and Empirical Evidence / 11.2.2：
Equity Analysis of Toxic Release Facilities / 11.2.3：
Toxic Releases Inventory / 11.3.1：
National Studies and Evidence / 11.3.2：
Regional Studies and Methodological Improvements / 11.3.3：
Dynamics Analysis of Locally Unwanted Land Uses / 11.3.4：
Methodological Issues in Dynamics Analysis / 12.1：
Framework for Dynamics Analysis / 12.2：
Revisiting the Houston Case: Hypothesis Testing / 12.3：
Data / 12.3.1：
Tests / 12.3.2：
Discussion of Alternative Hypotheses / 12.3.3：
Invasion-Succession Hypothesis / 12.4.1：
Life-Cycle Hypothesis / 12.4.2：
Push Forces: Other Environmental Risks / 12.4.3：
Conclusions / 12.5：
Equity Analysis of Transportation Systems, Projects, Plans, and Policies / Chapter 13：
Environmental Impacts of Transportation Systems / 13.1：
Incorporating Equity Analysis in the Transportation Planning Process / 13.2：
Transportation System Performance Measures / 13.3：
Equity Analysis of Mobility and Accessibility / 13.4：
Concepts and Methods / 13.4.1：
Using Accessibility for Equity Analysis / 13.4.2：
Empirical Evidence about Mobility Disparity / 13.4.3：
Accessibility Disparity and Spatial Mismatch / 13.4.4：
Measuring Distributional Impacts on Property Values / 13.5：
Measuring Environmental Impacts / 13.6：
Equity Analysis of Transportation Policies / 13.7：
Environmental Justice of Transportation in Court / 13.8：
Trends and Conclusions / 13.9：
Internet-Based and Community-Based Tools / 14.1：
EPA's Environfacts / 14.1.1：
LandView III / 14.1.2：
Environmental Defense's Scorecard (http://www.scorecard.org/) / 14.1.3：
References / 14.2：
Index
Environmental Justice, Equity, and Policies / Chapter 1：
The Environmental Justice Movement / 1.1：
Environmental Justice Policies / 1.2：
18.
図書
Francis A. Carey and Richard J. Sundberg
目次情報:
続きを見る
Alkylation of Nucleophilic Carbon Intermediates / Chapter 1.：
Generation of Carbanions by Deprotonation / 1.1.：
Regioselectivity and Stereoselectivity in Enolate Formation / 1.2.：
Other Means of Generating Enolates / 1.3.：
Alkylation of Enolates / 1.4.：
Generation and Alkylation of Dianions / 1.5.：
Medium Effects in the Alkylation of Enolates / 1.6.：
Oxygen versus Carbon as the Site of Alkylation / 1.7.：
Alkylation of Aldehydes, Esters, Amides, and Nitriles / 1.8.：
The Nitrogen Analogs of Enols and Enolates--Enamines and Imine Anions / 1.9.：
Alkylation of Carbon Nucleophiles by Conjugate Addition / 1.10.：
General References
Problems
Reaction of Carbon Nucleophiles with Carbonyl Groups / Chapter 2.：
Aldol Addition and Condensation Reactions / 2.1.：
The General Mechanism / 2.1.1.：
Mixed Aldol Condensations with Aromatic Aldehydes / 2.1.2.：
Control of Regiochemistry and Stereochemistry of Mixed Aldol Reactions of Aliphatic Aldehydes and Ketones / 2.1.3.：
Intramolecular Aldol Reactions and the Robinson Annulation / 2.1.4.：
Addition Reactions of Imines and Iminium Ions / 2.2.：
The Mannich Reaction / 2.2.1.：
Amine-Catalyzed Condensation Reactions / 2.2.2.：
Acylation of Carbanions / 2.3.：
The Wittig and Related Reactions of Phosphorus-Stabilized Carbon Nucleophiles / 2.4.：
Reactions of Carbonyl Compounds with [alpha]-Trimethylsilylcarbanions / 2.5.：
Sulfur Ylides and Related Nucleophiles / 2.6.：
Nucleophilic Addition--Cyclization / 2.7.：
Functional Group Interconversion by Nucleophilic Substitution / Chapter 3.：
Conversion of Alcohols to Alkylating Agents / 3.1.：
Sulfonate Esters / 3.1.1.：
Halides / 3.1.2.：
Introduction of Functional Groups by Nucleophilic Substitution at Saturated Carbon / 3.2.：
General Solvent Effects / 3.2.1.：
Nitriles / 3.2.2.：
Azides / 3.2.3.：
Oxygen Nucleophiles / 3.2.4.：
Nitrogen Nucleophiles / 3.2.5.：
Sulfur Nucleophiles / 3.2.6.：
Phosphorus Nucleophiles / 3.2.7.：
Summary of Nucleophilic Substitution at Saturated Carbon / 3.2.8.：
Nucleophilic Cleavage of Carbon-Oxygen Bonds in Ethers and Esters / 3.3.：
Interconversion of Carboxylic Acid Derivatives / 3.4.：
Preparation of Reactive Reagents for Acylation / 3.4.1.：
Preparation of Esters / 3.4.2.：
Preparation of Amides / 3.4.3.：
Electrophilic Additions to Carbon--Carbon Multiple Bonds / Chapter 4.：
Addition of Hydrogen Halides / 4.1.：
Hydration and Other Acid-Catalyzed Additions of Oxygen Nucleophiles / 4.2.：
Oxymercuration / 4.3.：
Addition of Halogens to Alkenes / 4.4.：
Electrophilic Sulfur and Selenium Reagents / 4.5.：
Addition of Other Electrophilic Reagents / 4.6.：
Electrophilic Substitution Alpha to Carbonyl Groups / 4.7.：
Additions to Allenes and Alkynes / 4.8.：
Addition at Double Bonds via Organoborane Intermediates / 4.9.：
Hydroboration / 4.9.1.：
Reactions of Organoboranes / 4.9.2.：
Enantioselective Hydroboration / 4.9.3.：
Hydroboration of Alkynes / 4.9.4.：
Reduction of Carbonyl and Other Functional Groups / Chapter 5.：
Addition of Hydrogen / 5.1.：
Catalytic Hydrogenation / 5.1.1.：
Other Hydrogen-Transfer Reagents / 5.1.2.：
Group III Hydride-Donor Reagents / 5.2.：
Reduction of Carbonyl Compounds / 5.2.1.：
Stereoselectivity of Hydride Reduction / 5.2.2.：
Reduction of Other Functional Groups by Hydride Donors / 5.2.3.：
Group IV Hydride Donors / 5.3.：
Hydrogen-Atom Donors / 5.4.：
Dissolving-Metal Reductions / 5.5.：
Reductive Removal of Functional Groups / 5.5.1.：
Reductive Carbon--Carbon Bond Formation / 5.5.3.：
Reductive Deoxygenation of Carbonyl Groups / 5.6.：
Reductive Elimination and Fragmentation / 5.7.：
Cycloadditions, Unimolecular Rearrangements, and Thermal Eliminations / Chapter 6.：
Cycloaddition Reactions / 6.1.：
The Diels--Alder Reaction: General Features / 6.1.1.：
The Diels--Alder Reaction: Dienophiles / 6.1.2.：
The Diels--Alder Reaction: Dienes / 6.1.3.：
Asymmetric Diels--Alder Reactions / 6.1.4.：
Intramolecular Diels--Alder Reactions / 6.1.5.：
Dipolar Cycloaddition Reactions / 6.2.：
[2 + 2] Cycloadditions and Other Reactions Leading to Cyclobutanes / 6.3.：
Photochemical Cycloaddition Reactions / 6.4.：
[3,3] Sigmatropic Rearrangements / 6.5.：
Cope Rearrangements / 6.5.1.：
Claisen Rearrangements / 6.5.2.：
[2,3] Sigmatropic Rearrangements / 6.6.：
Ene Reactions / 6.7.：
Unimolecular Thermal Elimination Reactions / 6.8.：
Cheletropic Elimination / 6.8.1.：
Decomposition of Cyclic Azo Compounds / 6.8.2.：
[beta] Eliminations Involving Cyclic Transition States / 6.8.3.：
Organometallic Compounds of the Group I, II, and III Metals / Chapter 7.：
Preparation and Properties / 7.1.：
Reactions of Organomagnesium and Organolithium Compounds / 7.2.：
Reactions with Alkylating Agents / 7.2.1.：
Reactions with Carbonyl Compounds / 7.2.2.：
Organic Derivatives of Group IIB and Group IIIB Metals / 7.3.：
Organozinc Compounds / 7.3.1.：
Organocadmium Compounds / 7.3.2.：
Organomercury Compounds / 7.3.3.：
Organoindium Reagents / 7.3.4.：
Organolanthanide Reagents / 7.4.：
Reactions Involving the Transition Metals / Chapter 8.：
Organocopper Intermediates / 8.1.：
Preparation and Structure of Organocopper Reagents / 8.1.1.：
Reactions Involving Organocopper Reagents and Intermediates / 8.1.2.：
Reactions Involving Organopalladium Intermediates / 8.2.：
Palladium-Catalyzed Nucleophilic Substitution and Alkylation / 8.2.1.：
The Heck Reaction / 8.2.2.：
Palladium-Catalyzed Cross Coupling / 8.2.3.：
Carbonylation Reactions / 8.2.4.：
Reactions Involving Organonickel Compounds / 8.3.：
Reactions Involving Rhodium and Cobalt / 8.4.：
Organometallic Compounds with [pi] Bonding / 8.5.：
Carbon--Carbon Bond-Forming Reactions of Compounds of Boron, Silicon, and Tin / Chapter 9.：
Organoboron Compounds / 9.1.：
Synthesis of Organoboranes / 9.1.1.：
Carbon--Carbon Bond-Forming Reactions of Organoboranes / 9.1.2.：
Organosilicon Compounds / 9.2.：
Synthesis of Organosilanes / 9.2.1.：
Carbon--Carbon Bond-Forming Reactions / 9.2.2.：
Organotin Compounds / 9.3.：
Synthesis of Organostannanes / 9.3.1.：
Reactions Involving Carbocations, Carbenes, and Radicals as Reactive Intermediates / 9.3.2.：
Reactions Involving Carbocation Intermediates / 10.1.：
Carbon-Carbon Bond Formation Involving Carbocations / 10.1.1.：
Rearrangement of Carbocations / 10.1.2.：
Related Rearrangements / 10.1.3.：
Fragmentation Reactions / 10.1.4.：
Reactions Involving Carbenes and Nitrenes / 10.2.：
Structure and Reactivity of Carbenes / 10.2.1.：
Generation of Carbenes / 10.2.2.：
Addition Reactions / 10.2.3.：
Insertion Reactions / 10.2.4.：
Generation and Reactions of Ylides by Carbenoid Decomposition / 10.2.5.：
Rearrangement Reactions / 10.2.6.：
Related Reactions / 10.2.7.：
Nitrenes and Related Intermediates / 10.2.8.：
Rearrangements to Electron-Deficient Nitrogen / 10.2.9.：
Reactions Involving Free-Radical Intermediates / 10.3.：
Sources of Radical Intermediates / 10.3.1.：
Introduction of Functionality by Radical Reactions / 10.3.2.：
Addition Reactions of Radicals to Substituted Alkenes / 10.3.3.：
Cyclization of Free-Radical Intermediates / 10.3.4.：
Fragmentation and Rearrangement Reactions / 10.3.5.：
Aromatic Substitution Reactions / Chapter 11.：
Electrophilic Aromatic Substitution / 11.1.：
Nitration / 11.1.1.：
Halogenation / 11.1.2.：
Friedel-Crafts Alkylations and Acylations / 11.1.3.：
Electrophilic Metalation / 11.1.4.：
Nucleophilic Aromatic Substitution / 11.2.：
Aryl Diazonium Ions as Synthetic Intermediates / 11.2.1.：
Substitution by the Addition-Elimination Mechanism / 11.2.2.：
Substitution by the Elimination-Addition Mechanism / 11.2.3.：
Transition-Metal-Catalyzed Substitution Reactions / 11.2.4.：
Aromatic Radical Substitution Reactions / 11.3.：
Substitution by the S[subscript RN]1 Mechanism / 11.4.：
Oxidations / Chapter 12.：
Oxidation of Alcohols to Aldehydes, Ketones, or Carboxylic Acids / 12.1.：
Transition-Metal Oxidants / 12.1.1.：
Other Oxidants / 12.1.2.：
Addition of Oxygen at Carbon-Carbon Double Bonds / 12.2.：
Epoxides from Alkenes and Peroxidic Reagents / 12.2.1.：
Transformations of Epoxides / 12.2.3.：
Reaction of Alkenes with Singlet Oxygen / 12.2.4.：
Cleavage of Carbon-Carbon Double Bonds / 12.3.：
Oxonolysis / 12.3.1.：
Selective Oxidative Cleavages at Other Functional Groups / 12.4.：
Cleavage of Glycols / 12.4.1.：
Oxidative Decarboxylation / 12.4.2.：
Oxidation of Ketones and Aldehydes / 12.5.：
Oxidation of Ketones and Aldehydes by Oxygen and Peroxidic Compounds / 12.5.1.：
Oxidation with Other Reagents / 12.5.3.：
Allylic Oxidation / 12.6.：
Oxidations at Unfunctionalized Carbon / 12.6.1.：
Planning and Execution of Multistep Syntheses / Chapter 13.：
Protective Groups / 13.1.：
Hydroxyl-Protecting Groups / 13.1.1.：
Amino-Protecting Groups / 13.1.2.：
Carbonyl-Protecting Groups / 13.1.3.：
Carboxylic Acid-Protecting Groups / 13.1.4.：
Synthetic Equivalent Groups / 13.2.：
Synthetic Analysis and Planning / 13.3.：
Control of Stereochemistry / 13.4.：
Illustrative Syntheses / 13.5.：
Juvabione / 13.5.1.：
Longifolene / 13.5.2.：
Prelog-Djerassi Lactone / 13.5.3.：
Taxol / 13.5.4.：
Epothilone A / 13.5.5.：
Solid-Phase Synthesis / 13.6.：
Solid-Phase Synthesis of Polypeptides / 13.6.1.：
Solid-Phase Synthesis of Oligonucleotides / 13.6.2.：
Combinatorial Synthesis / 13.7.：
References for Problems
Index
Alkylation of Nucleophilic Carbon Intermediates / Chapter 1.：
Generation of Carbanions by Deprotonation / 1.1.：
Regioselectivity and Stereoselectivity in Enolate Formation / 1.2.：
19.
ＥＢ
Josef Pauli
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2001
子書誌情報:
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Introduction / 1：
Need for New-Generation Robot Systems / 1.1：
Paradigms of Computer Vision (CV) and Robot Vision (RV) / 1.2：
Characterization of Computer Vision / 1.2.1：
Ch aracterization of Robot Vision / 1.2.2：
Robot Systems versus Autonomous Robot Systems / 1.3：
Characterization of a Robot System / 1.3.1：
Characterization of an Autonomous Robot System / 1.3.2：
Autonomous Camera-Equipped Robot System / 1.3.3：
Important Role of Demonstration and Learning / 1.4：
Learning Feature Compatibilities under Real Imaging / 1.4.1：
Learning Feature Manifolds of Real World Situations / 1.4.2：
Learning Environment-Effector-Image Relationships / 1.4.3：
Compatibilities, Manifolds, and Relationships / 1.4.4：
Ch apter Overview of th e Work / 1.5：
Compatibilities for Object Boundary Detection / 2：
Introduction to th e Ch apter / 2.1：
General Context of th e Ch apter / 2.1.1：
Object Localization and Boundary Extraction / 2.1.2：
Detailed Review of Relevant Literature / 2.1.3：
Outline of th e Sections in th e Ch apter / 2.1.4：
Geometric/Photometric Compatibility Principles / 2.2：
HoughTransformation for Line Extraction / 2.2.1：
Orientation Compatibility between Lines and Edges / 2.2.2：
Junction Compatibility between Pencils and Corners / 2.2.3：
Compatibility-Based Structural Level Grouping / 2.3：
HoughPeaks for Approximate Parallel Lines / 2.3.1：
Phase Compatibility between Parallels and Ramps / 2.3.2：
Extraction of Regular Quadrangles / 2.3.3：
Extraction of Regular Polygons / 2.3.4：
Compatibility-Based Assembly Level Grouping / 2.4：
Focusing Image Processing on Polygonal Windows / 2.4.1：
Vanishing-Point Compatibility of Parallel Lines / 2.4.2：
Pencil Compatibility of Meeting Boundary Lines / 2.4.3：
Boundary Extraction for Approximate Polyhedra / 2.4.4：
Geometric Reasoning for Boundary Extraction / 2.4.5：
Visual Demonstrations for LearningDegrees ofCompatibility / 2.5：
LearningDegreeofLine/EdgeOrientationCompatibility / 2.5.1：
LearningDegreeofParallel/RampPhaseCompatibility / 2.5.2：
Learning Degree of Parallelism Compatibility / 2.5.3：
Summary and Discussion of th e Ch apter / 2.6：
Manifolds for Object and Situation Recognition / 3：
Approachfor Object and Situation Recognition / 3.1：
Learning Pattern Manifolds withGBFs and PCA / 3.1.3：
Compatibility and Discriminability for Recognition / 3.2.1：
Regularization Principles and GBF Networks / 3.2.2：
Canonical FrameswithPrincipalComponent Analysis.116 / 3.2.3：
GBF Networks for Approximation of Recognition Functions / 3.3：
Approachof GBF Network Learning for Recognition / 3.3.1：
Object Recognition under Arbitrary View Angle / 3.3.2：
Object Recognition for Arbitrary View Distance / 3.3.3：
Scoring of Grasping Situations / 3.3.4：
SophisticatedManifoldApproximationforRobustRecognition.133 / 3.4：
Making Manifold Approximation Tractable / 3.4.1：
Log-Polar Transformation for Manifold Simplification.137 / 3.4.2：
Space-Time Correlations for Manifold Refinement / 3.4.3：
Learning Strategy withPCA/GBF Mixtures / 3.4.4：
Learning-Based Achievement of RV Competences / 3.5：
Learning Beh avior-Based Systems / 4.1：
Integrating Deliberate Strategies and Visual Feedback / 4.1.3：
Dynamical Systems and Control Mechanisms / 4.2.1：
Generic Modules for System Development / 4.2.2：
Treatment of an Exemplary High-Level Task / 4.3：
Description of an Exemplary High-Level Task / 4.3.1：
Localization of a Target Object in the Image / 4.3.2：
Determining and Reconstructing Obstacle Objects / 4.3.3：
Approaching and Grasping Obstacle Objects / 4.3.4：
Clearing Away Obstacle Objects on a Parking Area / 4.3.5：
Inspection and/or Manipulation of a Target Object / 4.3.6：
Monitoring the Task-Solving Process / 4.3.7：
Overall Task-Specific Configuration of Modules / 4.3.8：
Basic Mechanisms for Camera-Robot Coordination / 4.4：
Camera-Manipulator Relation for One-Step Control / 4.4.1：
Camera-Manipulator Relation for Multi-step Control.245 / 4.4.2：
Hand Servoing for Determining the Optical Axis / 4.4.3：
Determining th e Field of Sh arp View / 4.4.4：
Summary and Discussion / 4.5：
Developing Camera-Equipped Robot Systems / 5.1：
Rationale for th e Contents of Th is Work / 5.2：
Proposals for Future Research Topics / 5.3：
Ellipsoidal Interpolation / Appendix 1：
Further Behavioral Modules / Appendix 2：
Symbols
Index
References
Introduction / 1：
Need for New-Generation Robot Systems / 1.1：
Paradigms of Computer Vision (CV) and Robot Vision (RV) / 1.2：
20.
図書
Peter Y. Yu, Manuel Cardona
目次情報:
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Introduction / 1：
A Survey of Semiconductors / 1.1：
Elemental Semiconductors / 1.1.1：
Binary Compounds / 1.1.2：
Oxides / 1.1.3：
Layered Semiconductors / 1.1.4：
Organic Semiconductors / 1.1.5：
Magnetic Semiconductors / 1.1.6：
Other Miscellaneous Semiconductors / 1.1.7：
Growth Techniques / 1.2：
Czochralski Method / 1.2.1：
Bridgman Method / 1.2.2：
Chemical Vapor Deposition / 1.2.3：
Molecular Beam Epitaxy / 1.2.4：
Liquid Phase Epitaxy / 1.2.5：
Summary
Electronic Band Structures / 2：
Quantum Mechanics / 2.1：
Translational Symmetry and Brillouin Zones / 2.2：
A Pedestrian's Guide to Group Theory / 2.3：
Definitions and Notations / 2.3.1：
Symmetry Operations of the Diamond and Zinc-Blende Structures / 2.3.2：
Representations and Character Tables / 2.3.3：
Some Applications of Character Tables / 2.3.4：
Empty Lattice or Nearly Free Electron Energy Bands / 2.4：
Nearly Free Electron Band Structure in a Zinc-Blende Crystal / 2.4.1：
Nearly Free Electron Energy Bands in Diamond Crystals / 2.4.2：
Band Structure Calculation by Pseudopotential Methods / 2.5：
Pseudopotential Form Factors in Zinc-Blende- and Diamond-Type Semiconductors / 2.5.1：
Empirical and Self-Consistent Pseudopotential Methods / 2.5.2：
The kċp Method of Band-Structure Calculations / 2.6：
Effective Mass of a Nondegenerate Band Using the kċp Method / 2.6.1：
Band Dispersion near a Degenerate Extremum: Top Valence Bands in Diamondand Zinc-Blende-Type Semiconductors / 2.6.2：
Tight-Binding or LCAO Approach to the Band Structure of Semiconductors / 2.7：
Molecular Orbitals and Overlap Parameters / 2.7.1：
Band Structure of Group-IV Elements by the Tight-Binding Method / 2.7.2：
Overlap Parameters and Nearest-Neighbor Distances / 2.7.3：
Problems
Vibrational Properties of Semiconductors, and Electron-Phonon Interactions / 3：
Phonon Dispersion Curves of Semiconductors / 3.1：
Models for Calculating Phonon Dispersion Curves of Semiconductors / 3.2：
Force Constant Models / 3.2.1：
Shell Model / 3.2.2：
Bond Models / 3.2.3：
Bond Charge Models / 3.2.4：
Electron-Phonon Interactions / 3.3：
Strain Tensor and Deformation Potentials / 3.3.1：
Electron-Acoustic-Phonon Interaction at Degenerate Bands / 3.3.2：
Piezoelectric Electron-Acoustic-Phonon Interaction / 3.3.3：
Electron-Optical-Phonon Deformation Potential Interactions / 3.3.4：
Frohlich Interaction / 3.3.5：
Interaction Between Electrons and Large-Wavevector Phonons: Intervalley Electron-Phonon Interaction / 3.3.6：
Electronic Properties of Defects / 4：
Classification of Defects / 4.1：
Shallow or Hydrogenic Impurities / 4.2：
Effective Mass Approximation / 4.2.1：
Hydrogenic or Shallow Donors / 4.2.2：
Donors Associated with Anisotropic Conduction Bands / 4.2.3：
Acceptor Levels in Diamond-and Zinc-Blende-Type Semiconductors / 4.2.4：
Deep Centers / 4.3：
Green's Function Method for Calculating Defect Energy Levels / 4.3.1：
An Application of the Green's Function Method: Linear Combination of Atomic Orbitals / 4.3.2：
Another Application of the Green's Function Method: Nitrogen in GaP and Ga AsP Alloys / 4.3.3：
Final Note on Deep Centers / 4.3.4：
Electrical Transport / 5：
Quasi-Classical Approach / 5.1：
Carrier Mobility for a Nondegenerate Electron Gas / 5.2：
Relaxation Time Approximation / 5.2.1：
Nondegenerate Electron Gas in a Parabolic Band / 5.2.2：
Dependence of Scattering and Relaxation Times on Electron Energy / 5.2.3：
Momentum Relaxation Times / 5.2.4：
Temperature Dependence of Mobilities / 5.2.5：
Modulation Doping / 5.3：
High-Field Transport and Hot Carrier Effects / 5.4：
Velocity Saturation / 5.4.1：
Negative Differential Resistance / 5.4.2：
Gunn Effect / 5.4.3：
Magneto-Transport and the Hall Effect / 5.5：
Magneto-Conductivity Tensor / 5.5.1：
Hall Effect / 5.5.2：
Hall Coefficient for Thin Film Samples (van der Pauw Method) / 5.5.3：
Hall Effect for a Distribution of Electron Energies / 5.5.4：
Optical Properties I / 6：
Macroscopic Electrodynamics / 6.1：
Digression: Units for the Frequency of Electromagnetic Waves / 6.1.1：
Experimental Determination of Optical Constants / 6.1.2：
Kramers-Kronig Relations / 6.1.3：
The Dielectric Function / 6.2：
Experimental Results / 6.2.1：
Microscopic Theory of the Dielectric Function / 6.2.2：
Joint Density of States and Van Hove Singularities / 6.2.3：
Van Hove Singularities in ϵi / 6.2.4：
Direct Absorption Edges / 6.2.5：
Indirect Absorption Edges / 6.2.6：
""""Forbidden"""" Direct Absorption Edges / 6.2.7：
Excitons / 6.3：
Exciton Effect at M0 Critical Points / 6.3.1：
Absorption Spectra of Excitons / 6.3.2：
Exciton Effect at M1 Critical Points or Hyperbolic Excitons / 6.3.3：
Exciton Effect at M3 Critical Points / 6.3.4：
Phonon-Polaritons and Lattice Absorption / 6.4：
Phonon-Polaritons / 6.4.1：
Lattice Absorption and Reflection / 6.4.2：
Multiphonon Lattice Absorption / 6.4.3：
Dynamic Effective Ionic Charges in Heteropolar Semiconductors / 6.4.4：
Absorption Associated with Extrinsic Electrons / 6.5：
Free-Carrier Absorption in Doped Semiconductors / 6.5.1：
Absorption by Carriers Bound to Shallow Donors and Acceptors / 6.5.2：
Modulation Spectroscopy / 6.6：
Frequency Modulated Reflectance and Thermoreflectance / 6.6.3：
Piezoreflectance / 6.6.4：
Electroreflectance (Franz-Keldysh Effect) / 6.6.5：
Photoreflectance / 6.6.6：
Reflectance Difference Spectroscopy / 6.6.7：
Optical Properties II / 7：
Emission Spectroscopies / 7.1：
Band-to-Band Transitions / 7.1.1：
Free-to-Bound Transitions / 7.1.2：
Donor-Acceptor Pair Transitions / 7.1.3：
Excitons and Bound Excitons / 7.1.4：
Luminescence Excitation Spectroscopy / 7.1.5：
Light Scattering Spectroscopies / 7.2：
Macroscopic Theory of Inelastic Light Scattering by Phonons / 7.2.1：
Raman Tensor and Selection Rules / 7.2.2：
Experimental Determination of Raman Spectra / 7.2.3：
Microscopic Theory of Raman Scattering / 7.2.4：
A Detour into the World of Feynman Diagrams / 7.2.5：
Brillouin Scattering / 7.2.6：
Experimental Determination of Brillouin Spectra / 7.2.7：
Resonant Raman and Brillouin Scattering / 7.2.8：
Photoelectron Spectroscopy / 8：
Photoemission / 8.1：
Angle-Integrated Photoelectron Spectra of the Valence Bands / 8.1.1：
Angle-Resolved Photoelectron Spectra of the Valence Bands / 8.1.2：
Core Levels / 8.1.3：
Inverse Photoemission
Surface Effects / 8.2：
Surface States and Surface Reconstruction / 8.3.1：
Surface Energy Bands / 8.3.2：
Fermi Level Pinning and Space Charge Layers / 8.3.3：
Effect of Quantum Confinement on Electrons and Phonons in Semiconductors / 9：
Quantum Confinement and Density of States / 9.1：
Quantum Confinement of Electrons and Holes / 9.2：
Semiconductor Materials for Quantum Wells and Superlattices / 9.2.1：
Classification of Multiple Quantum Wells and Superlattices / 9.2.2：
Confinement of Energy Levels of Electrons and Holes / 9.2.3：
Some Experimental Results / 9.2.4：
Phonons in Superlattices / 9.3：
Phonons in Superlattices: Folded Acoustic and Confined Optic Modes / 9.3.1：
Folded Acoustic Modes: Macroscopic Treatment / 9.3.2：
Confined Optical Modes: Macroscopic Treatment / 9.3.3：
Electrostatic Effects in Polar Crystals: Interface Modes / 9.3.4：
Raman Spectra of Phonons in Semiconductor Superlattices / 9.4：
Raman Scattering by Folded Acoustic Phonons / 9.4.1：
Raman Scattering by Confined Optical Phonons / 9.4.2：
Raman Scattering by Interface Modes / 9.4.3：
Macroscopic Models of Electron-LO Phonon (Fröhlich) Interaction in Multiple Quantum Wells / 9.4.4：
Electrical Transport: Resonant Tunneling / 9.5：
Resonant Tunneling Through a Double-Barrier Quantum Well / 9.5.1：
I-V Characteristics of Resonant Tunneling Devices / 9.5.2：
Quantum Hall Effects in Two-Dimensional Electron Gases / 9.6：
Landau Theory of Diamagnetism in a Three-Dimensional Free Electron Gas / 9.6.1：
Magneto-Conductivity of a Two-Dimensional Electron Gas: Filling Factor / 9.6.2：
The Experiment of von Klitzing, Pepper and Dorda / 9.6.3：
Explanation of the Hall Plateaus in the Integral Quantum Hall Effect / 9.6.4：
Concluding Remarks / 9.7：
Appendix: Pioneers of Semiconductor Physics Remember
Ultra-Pure Germanium: From Applied to Basic Research or an Old Semiconductor Offering New Opportunities / Eugene E. Haller
Two Pseudopotential Methods: Empirical and Ab Initio / Marvin L. Cohen
The Early Stages of Band-Structures Physics and Its Struggles for a Place in the Sun / Conyers Herring
Cyclotron Resonance and Structure of Conduction and Valence Band Edges in Silicon and Germanium / Charles Kittel
Optical Properties of Amorphous Semiconductors and Solar Cells / Jan Tauc
Optical Spectroscopy of Shallow Impurity Centers / Elias Burstein
On the Prehistory of Angular Resolved Photoemission / Neville V. Smith
The Discovery and Very Basics of the Quantum Hall Effect / Klaus von Klitzing
The Birth of the Semiconductor Superlattice / Leo Esaki
References
Subject Index
Table of Fundamental Physical Constants (Inside Front Cover)
Table of Units (Inside Back Cover)
Introduction / 1：
A Survey of Semiconductors / 1.1：
Elemental Semiconductors / 1.1.1：
21.
図書
Zhuoqun Wu ... [et al.]
出版情報:
Singapore : World Scientific, c2001 xvii, 502 p. ; 23 cm
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Preface
Newtonian Filtration Equations / Chapter 1：
Introduction / 1.1：
Physical examples / 1.1.1：
Definitions of generalized solutions / 1.1.2：
Special solutions / 1.1.3：
Existence and Uniqueness of Solutions: One Dimensional Case / 1.2：
Uniqueness of solutions / 1.2.1：
Existence of solutions / 1.2.2：
Comparison theorems / 1.2.3：
Some extensions / 1.2.4：
Existence and Uniqueness of Solutions: Higher Dimensional Case / 1.3：
Comparison theorem and uniqueness of solutions / 1.3.1：
Regularity of Solutions: One Dimensional Case / 1.3.2：
Lemma / 1.4.1：
Regularity of solutions / 1.4.2：
Regularity of Solutions: Higher Dimensional Case / 1.4.3：
Generalized class B[subscript 2] / 1.5.1：
Some lemmas / 1.5.2：
Properties of functions in the generalized class B[subscript 2] / 1.5.3：
Holder continuity of solutions / 1.5.4：
Properties of the Free Boundary: One Dimensional Case / 1.6：
Finite propagation of disturbances / 1.6.1：
Localization and extinction of disturbances / 1.6.2：
Differential equation on the free boundary / 1.6.3：
Continuously differentiability of the free boundary / 1.6.4：
Some further results / 1.6.5：
Properties of the Free Boundary: Higher Dimensional Case / 1.7：
Monotonicity and Holder continuity of the free boundary / 1.7.1：
Lipschitz continuity of the free boundary / 1.7.2：
Initial Trace of Solutions / 1.7.3：
Harnack inequality / 1.8.1：
Main result / 1.8.2：
Extension of existence and uniqueness theorem / 1.8.3：
Other Problems / 1.9：
Equations with strongly nonlinear sources / 1.9.1：
Asymptotic properties of solutions / 1.9.2：
Non-Newtonian Filtration Equations / Chapter 2：
Introduction Preliminary Knowledge / 2.1：
Introduction Physical example / 2.1.1：
Basic spaces and some lemmas / 2.1.2：
Existence of Solutions / 2.1.3：
The case u[subscript 0] [set membership] C[superscript [infinity] subscript 0](R[superscript N]) or u[subscript 0] [set membership] L[superscript 1](R[superscript N]) [intersection of] L[superscript [infinity](R[superscript N]) / 2.2.1：
The case u[subscript 0] [set membership] L[superscript 1 subscript loc](R[superscript N]) / 2.2.2：
Some remarks / 2.2.3：
Harnack Inequality and the Initial Trace of Solutions / 2.3：
Local Harnack inequality / 2.3.1：
Global Harnack inequality / 2.3.2：
Initial trace of solutions / 2.3.3：
Regularity of Solutions / 2.4：
Boundedness of solutions / 2.4.1：
Boundedness of the gradient of solutions / 2.4.2：
Holder continuity of the gradient of solutions / 2.4.3：
Uniqueness of Solutions / 2.5：
Auxiliary propositions / 2.5.1：
Uniqueness theorem and its proof / 2.5.2：
Properties of the Free Boundary / 2.6：
p-Laplacian equation with strongly nonlinear sources / 2.6.1：
General Quasilinear Equations of Second Order / 2.7.2：
Weakly Degenerate Equations in One Dimension / 3.1：
Uniqueness of bounded and measurable solutions / 3.2.1：
Existence of continuous solutions / 3.2.2：
Weakly Degenerate Equations in Higher Dimension / 3.2.3：
Existence of continuous solutions for equations with two points of degeneracy / 3.3.1：
Uniqueness of BV solutions / 3.3.2：
Existence of BV solutions / 3.3.3：
Strongly Degenerate Equations in One Dimension / 3.3.4：
Definitions of solutions with discontinuity / 3.4.1：
Interior discontinuity condition / 3.4.2：
Uniqueness of BV solutions of the Cauchy problem / 3.4.3：
Formulation of the boundary value problem / 3.4.4：
Boundary discontinuity condition / 3.4.5：
Uniqueness of BV solutions of the first boundary value problem / 3.4.6：
Existence of BV solutions of the first boundary value problem / 3.4.7：
Equations with degeneracy at infinity / 3.4.8：
Properties of the curves of discontinuity / 3.4.10：
Degenerate Equations in Higher Dimension without Terms of Lower Order / 3.5：
Uniqueness of bounded and integrable solutions / 3.5.1：
A lemma on weak convergence / 3.5.2：
General Strongly Degenerate Equations in Higher Dimension / 3.5.3：
Appendix Classes BV and BV[subscript x] / 3.6.1：
Nonlinear Diffusion Equations of Higher Order / Chapter 4：
Similarity Solutions of a Fourth Order Equation / 4.1：
Definition of similarity solutions / 4.2.1：
Existence and uniqueness of global solutions of the Cauchy problem / 4.2.2：
Properties of solutions at zero points / 4.2.3：
Properties of unbounded solutions / 4.2.5：
Bounded solutions on the half line / 4.2.6：
Bounded solutions on the whole line / 4.2.7：
Properties of solutions in typical cases k = 1,2,3,4 / 4.2.8：
Behavior of similarity solutions as t [right arrow] 0[superscript +] / 4.2.9：
Equations with Double-Degeneracy / 4.3：
Weighted energy equality of solutions / 4.3.1：
Some auxiliary inequalities / 4.3.4：
Asymptotic behavior of solutions / 4.3.5：
Extinction of solutions at finite time / 4.3.7：
Nonexistence of nonnegative solutions / 4.3.8：
Infinite propagation case / 4.3.9：
Cahn-Hilliard Equation with Constant Mobility / 4.4：
Existence of classical solutions / 4.4.1：
Blowing-up of solutions / 4.4.2：
Global existence of solutions for small initial value / 4.4.3：
Cahn-Hilliard Equations with Positive Concentration Dependent Mobility / 4.5：
A modified Campanato space / 4.5.1：
Holder norm estimates for a linear problem / 4.5.2：
Zero potential case / 4.5.3：
General case / 4.5.4：
Thin Film Equation / 4.6：
Definition of generalized solutions / 4.6.1：
Approximate solutions / 4.6.2：
Nonnegativity of solutions / 4.6.3：
Zeros of nonnegative solutions / 4.6.5：
Monotonicity of the support of solutions / 4.6.6：
Cahn-Hilliard Equation with Degenerate Mobility / 4.7：
Models with degenerate mobility / 4.7.1：
Definition of physical solutions / 4.7.2：
Physical solutions / 4.7.3：
Bibliography
Preface
Newtonian Filtration Equations / Chapter 1：
Introduction / 1.1：
22.
図書
edited by Ronald F. Boisvert, Ping Tak Peter Tang
23.
図書
B.G. Orekhov, M.G. Zertsalov
出版情報:
Rotterdam ; Brookfield, VT : A.A. Balkema, 2001 ix, 285 p. ; 25 cm
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Introduction
Strength and Deformation of Brittle Materials / Chapter 1.：
Mechanics of Failure and Investigation of the Strength of Materials / 1.1.：
Theory of Deformation of Rocks and Concretes under Compression / 1.2.：
Phenomenological Theories of Deformation / 1.2.1.：
Structural Theories of Deformation / 1.2.2.：
Analytical Models of the Strength of Building Materials / Chapter 2.：
Limit State of Brittle Solid Based on the Maximum Tensile Strength Criterion / 2.1.：
Elastic Body with Thin Elliptical Crack / 2.1.1.：
Elastic Body with Ideally Thin Cracks / 2.1.2.：
Elastic Body with Elliptical Cracks of Finite Dimensions / 2.1.3.：
Application of Energy Criteria for Determining the Limiting States of an Elastic Body / 2.2.：
Energy Approach to the Solution of the Problem / 2.2.1.：
Criteria of the Intensity of Release of Elastic Energy of Systems / 2.2.2.：
Strain Energy Density Criteria / 2.2.3.：
Development of Analytical Model of Strength of Materials Based on the Theory of Quasibrittle failure / 2.3.：
Problem Formulation / 2.3.1.：
State of Stress of Body Around the Tip of Elliptical Crack / 2.3.2.：
Theoretical Outline of the Contour Enveloping the Region of Plastic Flow of Material / 2.3.3.：
Theoretical Model of the Strength of Material / 2.3.4.：
Consideration of Strength Anisotropy of Materials / 2.3.5.：
Strength of Building Constructions and Structures / Chapter 3.：
Method of Analysis of the Strength of Constructions and Structures / 3.1.：
Important Theoretical Relations / 3.1.1.：
Criterion of Maximum Tangential Tensile Stress / 3.1.2.：
Criterion of Strain-Energy Density / 3.1.3.：
Computation Algorithm / 3.1.4.：
Experimental Justification of the Method of Analysis / 3.2.：
Determination of the Analytical Parameters of Gypsum Used for Model Making / 3.2.1.：
Fracture of Gypsum Plates / 3.2.2.：
Fracture of the Model of a Die under Shear / 3.2.3.：
Fracture of Reinforced Beam / 3.2.4.：
Fracture of the Model of Dam with a Horizontal Weakened Joint / 3.2.5.：
Analysis of the Strength and Stability of Concrete Dams / 3.3.：
Mechanics of the Failure and Deformation of Rocks and Concretes under Compression / Chapter 4.：
Effect of Internal Structural Defects on the Compressibility of Rocks and Concretes / 4.1.：
Equations of the State of Rocks and Concretes under Compression / 4.2.：
Two-dimensional Problem / 4.2.1.：
Axisymmetrical Problem / 4.2.2.：
Three-dimensional Problem / 4.2.3.：
Microcracking as the Main Cause of Non-linear Deformation of Rocks and Concretes / 4.3.：
Application of Finite Element Method in Modelling of Crack Growth / 4.4.：
Modelling of Cracks and Contacts in Discontinuities / 4.4.1.：
Formation of Stiffness Matrix of the Contact Element / 4.4.2.：
Modelling of Stress and Strain Distribution Around the Crack Tip / 4.4.3.：
Formation of Stiffness Matrix of a Singular Element / 4.4.4.：
Effect of the Size of the Singular Element on the Accuracy of the Solution / 4.4.5.：
Combination of the Singular and Contact Elements and its Use in Solving the Problems of Fracture Mechanics / 4.4.6.：
Equation of State of Rocks and Concrete when Deformed under Compression / 4.5.：
Deformation under Conditions of Microcrack Formation / 4.5.1.：
Deformation of the Fragment with a Unitary Three-link Cut (Two dimensional Problem) / 4.5.2.：
Deformation of Body Weakened by Thin Elliptical Cracks After the Commencement of Microcrack Formation (Two-dimensional Problem) / 4.5.3.：
Elastoplastic Model of Rocks and the Criteria of Failure under Compression / 4.5.4.：
Elastoplastic Model of the Behaviour of Rocks and Concretes / 5.1.：
Failure Criteria Used in the Model / 5.2.：
Griffith's Criterion as Modified by Fairhurst / 5.2.1.：
Criteria of the Critical Value of Volumetric Strain of Microcrack Formation / 5.2.2.：
Investigation of the Load-bearing Capacity of Engineering Structures / Chapter 6.：
Load-bearing Capacity of Gravity Concrete Dams with Consideration of Factors that Weaken them / 6.1.：
Experimental Investigation of Load-bearing Capacity of Dams Using Scaled Down Models / 6.2.：
Details of the Study and the Methods Used / 6.2.1.：
Investigation of the Models of Series III / 6.2.2.：
Investigation of the Models of Series IV / 6.2.3.：
Theoretical Investigations of the Strength and Failure of Concrete Dam / 6.3.：
Method of Calculations / 6.3.1.：
First Series of Calculations (Model of Dam with Slope of Downstream Face 1:0.7) / 6.3.2.：
Second Series of Calculations (Model of Dam with Slope of Downstream Face 1:0.6) / 6.3.3.：
Investigation of the Interaction between Engineering Structures and the Rock Mass / 6.4.：
Estimate of the Stability of Tunnelling Work of the Turbine Water Line at the Nureksk Hydropower Plant / 6.4.1.：
Investigation of the Schemes of Failure of the Concrete Dam-Rock Base System / 6.4.2.：
Estimation of the Load-bearing Capacity of Concrete Dam on Weak Fractured Base (Boguchansk Hydroengineering Complex) / 6.4.3.：
Bibliography
Introduction
Strength and Deformation of Brittle Materials / Chapter 1.：
Mechanics of Failure and Investigation of the Strength of Materials / 1.1.：
24.
図書
Barbara Liskov with John Guttag
出版情報:
Boston : Addison-Wesley, c2001 xix, 443 p. ; 25 cm
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Preface
Acknowledgments
Introduction / 1：
Decomposition and Abstraction / 1.1：
Abstraction / 1.2：
Abstraction by Parameterization / 1.2.1：
Abstraction by Specification / 1.2.2：
Kinds of Abstractions / 1.2.3：
The Remainder of the Book / 1.3：
Exercises
Understanding Objects in Java / 2：
Program Structure / 2.1：
Packages / 2.2：
Objects and Variables / 2.3：
Mutability / 2.3.1：
Method Call Semantics / 2.3.2：
Type Checking / 2.4：
Type Hierarchy / 2.4.1：
Conversions and Overloading / 2.4.2：
Dispatching / 2.5：
Types / 2.6：
Primitive Object Types / 2.6.1：
Vectors / 2.6.2：
Stream Input/Output / 2.7：
Java Applications / 2.8：
Procedural Abstraction / 3：
The Benefits of Abstraction / 3.1：
Specifications / 3.2：
Specifications of Procedural Abstractions / 3.3：
Implementing Procedures / 3.4：
Designing Procedural Abstractions / 3.5：
Summary / 3.6：
Exceptions / 4：
The Java Exception Mechanism / 4.1：
Exception Types / 4.2.1：
Defining Exception Types / 4.2.2：
Throwing Exceptions / 4.2.3：
Handling Exceptions / 4.2.4：
Coping with Unchecked Exceptions / 4.2.5：
Programming with Exceptions / 4.3：
Reflecting and Masking / 4.3.1：
Design Issues / 4.4：
When to Use Exceptions / 4.4.1：
Checked versus Unchecked Exceptions / 4.4.2：
Defensive Programming / 4.5：
Data Abstraction / 4.6：
Specifications for Data Abstractions / 5.1：
Specification of IntSet / 5.1.1：
The Poly Abstraction / 5.1.2：
Using Data Abstractions / 5.2：
Implementing Data Abstractions / 5.3：
Implementing Data Abstractions in Java / 5.3.1：
Implementation of IntSet / 5.3.2：
Implementation of Poly / 5.3.3：
Records / 5.3.4：
Additional Methods / 5.4：
Aids to Understanding Implementations / 5.5：
The Abstraction Function / 5.5.1：
The Representation Invariant / 5.5.2：
Implementing the Abstraction Function and Rep Invariant / 5.5.3：
Discussion / 5.5.4：
Properties of Data Abstraction Implementations / 5.6：
Benevolent Side Effects / 5.6.1：
Exposing the Rep / 5.6.2：
Reasoning about Data Abstractions / 5.7：
Preserving the Rep Invariant / 5.7.1：
Reasoning about Operations / 5.7.2：
Reasoning at the Abstract Level / 5.7.3：
Operation Categories / 5.8：
Adequacy / 5.8.3：
Locality and Modifiability / 5.9：
Iteration Abstraction / 5.10：
Iteration in Java / 6.1：
Specifying Iterators / 6.2：
Using Iterators / 6.3：
Implementing Iterators / 6.4：
Rep Invariants and Abstraction Functions for Generators / 6.5：
Ordered Lists / 6.6：
Assignment and Dispatching / 6.7：
Assignment / 7.1.1：
Defining a Type Hierarchy / 7.1.2：
Defining Hierarchies in Java / 7.3：
A Simple Example / 7.4：
Abstract Classes / 7.5：
Interfaces / 7.7：
Multiple Implementations / 7.8：
Lists / 7.8.1：
Polynomials / 7.8.2：
The Meaning of Subtypes / 7.9：
The Methods Rule / 7.9.1：
The Properties Rule / 7.9.2：
Equality / 7.9.3：
Discussion of Type Hierarchy / 7.10：
Polymorphic Abstractions / 7.11：
Polymorphic Data Abstractions / 8.1：
Using Polymorphic Data Abstractions / 8.2：
Equality Revisited / 8.3：
More Flexibility / 8.4：
Polymorphic Procedures / 8.6：
Specifications and Specificand Sets / 8.7：
Some Criteria for Specifications / 9.2：
Restrictiveness / 9.2.1：
Generality / 9.2.2：
Clarity / 9.2.3：
Why Specifications? / 9.3：
Testing and Debugging / 9.4：
Testing / 10.1：
Black-Box Testing / 10.1.1：
Glass-Box Testing / 10.1.2：
Testing Procedures / 10.2：
Testing Iterators / 10.3：
Testing Data Abstractions / 10.4：
Testing Polymorphic Abstractions / 10.5：
Testing a Type Hierarchy / 10.6：
Unit and Integration Testing / 10.7：
Tools for Testing / 10.8：
Debugging / 10.9：
Requirements Analysis / 10.10：
The Software Life Cycle / 11.1：
Requirements Analysis Overview / 11.2：
The Stock Tracker / 11.3：
Requirements Specifications / 11.4：
Data Models / 12.1：
Subsets / 12.1.1：
Relations / 12.1.2：
Textual Information / 12.1.3：
Requirements Specification for Stock Tracker / 12.2：
The Data Model / 12.3.1：
Stock Tracker Specification / 12.3.2：
Requirements Specification for a Search Engine / 12.4：
Design / 12.5：
An Overview of the Design Process / 13.1：
The Design Notebook / 13.2：
The Introductory Section / 13.2.1：
The Abstraction Sections / 13.2.2：
The Structure of Interactive Programs / 13.3：
Starting the Design / 13.4：
Discussion of the Method / 13.5：
Continuing the Design / 13.6：
The Query Abstraction / 13.7：
The WordTable Abstraction / 13.8：
Finishing Up / 13.9：
Interaction between FP and UI / 13.10：
Module Dependency Diagrams versus Data Models / 13.11：
Review and Discussion / 13.12：
Inventing Helpers / 13.12.1：
Specifying Helpers / 13.12.2：
Top-Down Design / 13.12.3：
Between Design and Implementation / 13.14：
Evaluating a Design / 14.1：
Correctness and Performance / 14.1.1：
Structure / 14.1.2：
Ordering the Program Development Process / 14.2：
Design Patterns / 14.3：
Hiding Object Creation / 15.1：
Neat Hacks / 15.2：
Flyweights / 15.2.1：
Singletons / 15.2.2：
The State Pattern / 15.2.3：
The Bridge Pattern / 15.3：
Procedures Should Be Objects Too / 15.4：
Composites / 15.5：
Traversing the Tree / 15.5.1：
The Power of Indirection / 15.6：
Publish/Subscribe / 15.7：
Abstracting Control / 15.7.1：
Glossary / 15.8：
Index
Preface
Acknowledgments
Introduction / 1：
25.
図書
Richard Crandall, Carl Pomerance
出版情報:
New York : Springer, c2001 xv, 547 p. ; 25 cm
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Preface
Primes! / 1：
Problems and progress / 1.1：
Fundamental theorem and fundamental problem / 1.1.1：
Technological and algorithmic progress / 1.1.2：
The infinitude of primes / 1.1.3：
Asymptotic relations and order nomenclature / 1.1.4：
How primes are distributed / 1.1.5：
Celebrated conjectures and curiosities / 1.2：
Twin primes / 1.2.1：
Prime k-tuples and hypothesis H / 1.2.2：
The Goldbach conjecture / 1.2.3：
The convexity question / 1.2.4：
Prime-producing formulae / 1.2.5：
Primes of special form / 1.3：
Mersenne primes / 1.3.1：
Fermat numbers / 1.3.2：
Certain presumably rare primes / 1.3.3：
Analytic number theory / 1.4：
The Riemann zeta function / 1.4.1：
Computational successes / 1.4.2：
Dirichlet L-functions / 1.4.3：
Exponential sums / 1.4.4：
Smooth numbers / 1.4.5：
Exercises / 1.5：
Research problems / 1.6：
Number-Theoretical Tools / 2：
Modular arithmetic / 2.1：
Greatest common divisor and inverse / 2.1.1：
Powers / 2.1.2：
Chinese remainder theorem / 2.1.3：
Polynomial arithmetic / 2.2：
Greatest common divisor for polynomials / 2.2.1：
Finite fields / 2.2.2：
Squares and roots / 2.3：
Quadratic residues / 2.3.1：
Square roots / 2.3.2：
Finding polynomial roots / 2.3.3：
Representation by quadratic forms / 2.3.4：
Recognizing Primes and Composites / 2.4：
Trial division / 3.1：
Divisibility tests / 3.1.1：
Practical considerations / 3.1.2：
Theoretical considerations / 3.1.4：
Sieving / 3.2：
Sieving to recognize primes / 3.2.1：
Eratosthenes pseudocode / 3.2.2：
Sieving to construct a factor table / 3.2.3：
Sieving to construct complete factorizations / 3.2.4：
Sieving to recognize smooth numbers / 3.2.5：
Sieving a polynomial / 3.2.6：
Recognizing smooth numbers / 3.2.7：
Pseudoprimes / 3.4：
Fermat pseudoprimes / 3.4.1：
Carmichael numbers / 3.4.2：
Probable primes and witnesses / 3.5：
The least witness for n / 3.5.1：
Lucas pseudoprimes / 3.6：
Fibonacci and Lucas pseudoprimes / 3.6.1：
Grantham's Frobenius test / 3.6.2：
Implementing the Lucas and quadratic Frobenius tests / 3.6.3：
Theoretical considerations and stronger tests / 3.6.4：
The general Frobenius test / 3.6.5：
Counting primes / 3.7：
Combinatorial method / 3.7.1：
Analytic method / 3.7.2：
Primality Proving / 3.8：
The n - 1 test / 4.1：
The Lucas theorem and Pepin test / 4.1.1：
Partial factorization / 4.1.2：
Succinct certificates / 4.1.3：
The n + 1 test / 4.2：
The Lucas-Lehmer test / 4.2.1：
An improved n + 1 test, and a combined n[superscript 2] - 1 test / 4.2.2：
Divisors in residue classes / 4.2.3：
The finite field primality test / 4.3：
Gauss and Jacobi sums / 4.4：
Gauss sums test / 4.4.1：
Jacobi sums test / 4.4.2：
The primality test of Agrawal, Kayal, and Saxena (AKS test) / 4.5：
Primality testing with roots of unity / 4.5.1：
The complexity of Algorithm 4.5.1 / 4.5.2：
Primality testing with Gaussian periods / 4.5.3：
A quartic time primality test / 4.5.4：
Exponential Factoring Algorithms / 4.6：
Squares / 5.1：
Fermat method / 5.1.1：
Lehman method / 5.1.2：
Factor sieves / 5.1.3：
Monte Carlo methods / 5.2：
Pollard rho method for factoring / 5.2.1：
Pollard rho method for discrete logarithms / 5.2.2：
Pollard lambda method for discrete logarithms / 5.2.3：
Baby-steps, giant-steps / 5.3：
Pollard p - 1 method / 5.4：
Polynomial evaluation method / 5.5：
Binary quadratic forms / 5.6：
Quadratic form fundamentals / 5.6.1：
Factoring with quadratic form representations / 5.6.2：
Composition and the class group / 5.6.3：
Ambiguous forms and factorization / 5.6.4：
Subexponential Factoring Algorithms / 5.7：
The quadratic sieve factorization method / 6.1：
Basic QS / 6.1.1：
Basic QS: A summary / 6.1.2：
Fast matrix methods / 6.1.3：
Large prime variations / 6.1.4：
Multiple polynomials / 6.1.5：
Self initialization / 6.1.6：
Zhang's special quadratic sieve / 6.1.7：
Number field sieve / 6.2：
Basic NFS: Strategy / 6.2.1：
Basic NFS: Exponent vectors / 6.2.2：
Basic NFS: Complexity / 6.2.3：
Basic NFS: Obstructions / 6.2.4：
Basic NFS: Square roots / 6.2.5：
Basic NFS: Summary algorithm / 6.2.6：
NFS: Further considerations / 6.2.7：
Rigorous factoring / 6.3：
Index-calculus method for discrete logarithms / 6.4：
Discrete logarithms in prime finite fields / 6.4.1：
Discrete logarithms via smooth polynomials and smooth algebraic integers / 6.4.2：
Elliptic Curve Arithmetic / 6.5：
Elliptic curve fundamentals / 7.1：
Elliptic arithmetic / 7.2：
The theorems of Hasse, Deuring, and Lenstra / 7.3：
Elliptic curve method / 7.4：
Basic ECM algorithm / 7.4.1：
Optimization of ECM / 7.4.2：
Counting points on elliptic curves / 7.5：
Shanks-Mestre method / 7.5.1：
Schoof method / 7.5.2：
Atkin-Morain method / 7.5.3：
Elliptic curve primality proving (ECPP) / 7.6：
Goldwasser-Kilian primality test / 7.6.1：
Atkin-Morain primality test / 7.6.2：
Fast primality-proving via ellpitic curves (fastECPP) / 7.6.3：
The Ubiquity of Prime Numbers / 7.7：
Cryptography / 8.1：
Diffie-Hellman key exchange / 8.1.1：
RSA cryptosystem / 8.1.2：
Elliptic curve cryptosystems (ECCs) / 8.1.3：
Coin-flip protocol / 8.1.4：
Random-number generation / 8.2：
Modular methods / 8.2.1：
Quasi-Monte Carlo (qMC) methods / 8.3：
Discrepancy theory / 8.3.1：
Specific qMC sequences / 8.3.2：
Primes on Wall Street? / 8.3.3：
Diophantine analysis / 8.4：
Quantum computation / 8.5：
Intuition on quantum Turing machines (QTMs) / 8.5.1：
The Shor quantum algorithm for factoring / 8.5.2：
Curious, anecdotal, and interdisciplinary references to primes / 8.6：
Fast Algorithms for Large-Integer Arithmetic / 8.7：
Tour of "grammar-school" methods / 9.1：
Multiplication / 9.1.1：
Squaring / 9.1.2：
Div and mod / 9.1.3：
Enhancements to modular arithmetic / 9.2：
Montgomery method / 9.2.1：
Newton methods / 9.2.2：
Moduli of special form / 9.2.3：
Exponentiation / 9.3：
Basic binary ladders / 9.3.1：
Enhancements to ladders / 9.3.2：
Enhancements for gcd and inverse / 9.4：
Binary gcd algorithms / 9.4.1：
Special inversion algorithms / 9.4.2：
Recursive-gcd schemes for very large operands / 9.4.3：
Large-integer multiplication / 9.5：
Karatsuba and Toom-Cook methods / 9.5.1：
Fourier transform algorithms / 9.5.2：
Convolution theory / 9.5.3：
Discrete weighted transform (DWT) methods / 9.5.4：
Number-theoretical transform methods / 9.5.5：
Schonhage method / 9.5.6：
Nussbaumer method / 9.5.7：
Complexity of multiplication algorithms / 9.5.8：
Application to the Chinese remainder theorem / 9.5.9：
Polynomial multiplication / 9.6：
Fast polynomial inversion and remaindering / 9.6.2：
Polynomial evaluation / 9.6.3：
Book Pseudocode / 9.7：
References
Preface
Primes! / 1：
Problems and progress / 1.1：
26.
図書
Stephen Mann
目次情報:
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Preface
Inorganic structures of life / 1：
Biomineralization--the big picture / 1.1：
Biomineralization--a new chemistry / 1.2：
This book / 1.3：
Further reading
Biomineral types and functions / 2：
Calcium carbonate--calcite and aragonite / 2.1：
Shells--big and small / 2.1.1：
Gravity sensors / 2.1.2：
Lenses / 2.1.3：
Calcium carbonate--vaterite and amorphous phases / 2.2：
Calcium phosphate / 2.3：
Bone / 2.3.1：
Teeth / 2.3.2：
Other Group 2A biominerals / 2.4：
Silica / 2.5：
Iron oxides / 2.6：
Magnetic bacteria / 2.6.1：
Rusty proteins / 2.6.2：
Iron teeth / 2.6.3：
Metal sulfides / 2.7：
Summary / 2.8：
General principles of biomineralization / 3：
Biologically induced mineralization / 3.1：
Biologically controlled mineralization / 3.2：
Site-directed biomineralization / 3.3：
Lipid vesicles / 3.3.1：
Macromolecular frameworks / 3.3.2：
Site requirements / 3.3.3：
Control mechanisms / 3.4：
Chemical control / 3.4.1：
Spatial control / 3.4.2：
Structural control / 3.4.3：
Morphological control / 3.4.4：
Constructional control / 3.4.5：
General model / 3.5：
Chemical control of biomineralization / 3.6：
Solubility / 4.1：
Solubility product / 4.2：
Supersaturation / 4.3：
Nucleation / 4.4：
Oriented nucleation--epitaxy / 4.5：
Crystal growth / 4.6：
Mechanisms / 4.6.1：
Crystal growth inhibition / 4.7：
Crystal morphology / 4.8：
Equilibrium morphology / 4.8.1：
Habit modification / 4.8.2：
Polymorphism / 4.9：
Phase transformations / 4.10：
Amorphous precursors / 4.10.1：
Crystalline intermediates--calcium phosphates / 4.10.2：
Rusty transformations--iron oxides / 4.10.3：
Boundary-organized biomineralization / 4.11：
Spatial boundaries / 5.1：
Phospholipid vesicles / 5.1.1：
Protein vesicles--ferritin / 5.1.2：
Cellular assemblies / 5.1.3：
Supersaturation control within spatial boundaries / 5.1.4：
Ion transport / 5.3：
Ion fluxes in calcification / 5.4：
Calcification in green algae / 5.4.1：
Coccolith calcification / 5.4.2：
Organic matrix-mediated biomineralization / 5.5：
Organic matrices as mechanical frameworks / 6.1：
Macromolecules and the organic matrix--a general model / 6.2：
Matrix macromolecules in bone / 6.3：
Collagen / 6.3.1：
Non-collagenous proteins in bone / 6.3.2：
Tooth enamel proteins / 6.4：
Matrix macromolecules from shell nacre / 6.5：
Macromolecules and silica biomineralization--diatoms and sponges / 6.6：
Organic matrix-mediated nucleation / 6.7：
Interfacial molecular recognition / 6.7.1：
Electrostatic accumulation--the ionotropic model / 6.7.2：
Nucleation in ferritin / 6.7.3：
Surface topography / 6.7.4：
Structural matching--the geometric model / 6.7.5：
The stereochemical model / 6.7.6：
Morphogenesis / 6.8：
Symmetry breaking / 7.1：
Vectorial regulation / 7.2：
Chemical patterning / 7.2.1：
Physical patterning / 7.2.2：
Pattern formation in biomineralization / 7.3：
Scaffolds / 7.3.1：
Vesicle foams--diatoms and radiolarians / 7.3.2：
Cellular groupings / 7.3.3：
Variations on a theme / 7.4：
Biomineral tectonics / 7.5：
Structural hierarchy--bone / 8.1：
Prefabrication / 8.2：
Higher-order assembly / 8.3：
Multilevel processing / 8.4：
Coccoliths / 8.4.1：
Stages of construction / 8.4.2：
Biomineral-inspired materials chemistry / 8.5：
Concepts and strategies / 9.1：
Synthesis in confined reaction spaces / 9.2：
Synthetic vesicles / 9.2.1：
Artificial ferritins / 9.2.2：
Bacterial threads / 9.2.3：
Polymer sponges / 9.2.4：
Template-directed materials synthesis / 9.3：
Biomineral matrices / 9.3.1：
Lipid tubules / 9.3.2：
Oriented nucleation on soap films / 9.3.3：
Morphosynthesis of biomimetic form / 9.4：
Physical patterning with supramolecular templates / 9.4.1：
Physical patterning from reaction field replication / 9.4.2：
Chemical patterning in unstable reaction fields / 9.4.3：
Crystal tectonics / 9.5：
Interactive assembly / 9.5.1：
Programmed assembly / 9.5.2：
Index / 9.6：
Preface
Inorganic structures of life / 1：
Biomineralization--the big picture / 1.1：
27.
図書
A. De Stefanis and A.A.G. Tomlinson
目次情報:
続きを見る
Scanning Tunnelling Microscopy / 1：
Introduction and history / 1.1：
The physical basis of STM / 1.2：
Instrumentation, past and present / 1.3：
STM Image interpretation / 1.4：
STM spectroscopy / 1.5：
Atomic Force and Related Force Microscopies / 2：
History / 2.1：
Principles / 2.2：
Instrumentation and an AFM Sitting / 2.3：
Other Microscopy Techniques Comparison / 2.4：
Applications of SPM / 2.5：
Scientific / 2.5.1：
Solid state structure / 2.5.1.1：
Films, layers coatings / 2.5.1.2：
Tribology / 2.5.1.3：
Interatomic Forces / 2.5.2：
Technological / 2.5.3：
Micro and nanoelectronic / 2.5.3.1：
Magnetic Force Microscopy (MFM) / 2.5.3.2：
Plastics and Polymers / 2.5.3.3：
Industrial coatings / 2.5.3.4：
Nanofabrication / 2.5.3.5：
New techniques and the future / 2.5.3.6：
References / 3：
1 SCANNING TUNNELLING MICROSCOPY 1.1 Introduction and History / A. De Stefanis; A.A.G. Tomlinson
1.2 The Physical Basis of STM
1.3 Instrumentation, Past and Present
1.4 STM Image Interpretation
1.5 STM Spectroscopy
2 ATOMIC FORCE AND RELATED FORCE MICROSCOPIES. 2.1 History
2.2 Principles
2.3 Instrumentation and an AFM Sitting
2.4 Other Microscopy Techniques Comparison
2.5 Applications of SPM
Scanning Tunnelling Microscopy / 1：
Introduction and history / 1.1：
The physical basis of STM / 1.2：
28.
図書
John G. Proakis
目次情報:
続きを見る
Preface
Introduction / 1：
Elements of a Digital Communication System / 1.1：
Communication Channels and Their Characteristics / 1.2：
Mathematical Models for Communication Channels / 1.3：
A Historical Perspective in the Development of Digital Communications / 1.4：
Overview of the Book / 1.5：
Bibliographical Notes and References / 1.6：
Probability and Stochastic Processes / 2：
Probability / 2.1：
Random Variables, Probability Distributions, and Probability Densities / 2.1.1：
Functions of Random Variables / 2.1.2：
Statistical Averages of Random Variables / 2.1.3：
Some Useful Probability Distributions / 2.1.4：
Upper Bounds on the Tail Probability / 2.1.5：
Sums of Random Variables and the Central Limit Theorem / 2.1.6：
Stochastic Processes / 2.2：
Statistical Averages / 2.2.1：
Power Density Spectrum / 2.2.2：
Response of a Linear Time-Invariant System to a Random Input Signal / 2.2.3：
Sampling Theorem for Band-Limited Stochastic Processes / 2.2.4：
Discrete-Time Stochastic Signals and Systems / 2.2.5：
Cyclostationary Processes / 2.2.6：
Problems / 2.3：
Source Coding / 3：
Mathematical Models for Information Sources / 3.1：
A Logarithmic Measure of Information / 3.2：
Average Mutual Information and Entropy / 3.2.1：
Information Measures for Continuous Random Variables / 3.2.2：
Coding for Discrete Sources / 3.3：
Coding for Discrete Memoryless Sources / 3.3.1：
Discrete Stationary Sources / 3.3.2：
The Lempel-Ziv Algorithm / 3.3.3：
Coding for Analog Sources--Optimum Quantization / 3.4：
Rate-Distortion Function / 3.4.1：
Scalar Quantization / 3.4.2：
Vector Quantization / 3.4.3：
Coding Techniques for Analog Sources / 3.5：
Temporal Waveform Coding / 3.5.1：
Spectral Waveform Coding / 3.5.2：
Model-Based Source Coding / 3.5.3：
Characterization of Communication Signals and Systems / 3.6：
Representation of Band-Pass Signals and Systems / 4.1：
Representation of Band-Pass Signals / 4.1.1：
Representation of Linear Band-Pass Systems / 4.1.2：
Response of a Band-Pass System to a Band-Pass Signal / 4.1.3：
Representation of Band-Pass Stationary Stochastic Processes / 4.1.4：
Signal Space Representations / 4.2：
Vector Space Concepts / 4.2.1：
Signal Space Concepts / 4.2.2：
Orthogonal Expansions of Signals / 4.2.3：
Representation of Digitally Modulated Signals / 4.3：
Memoryless Modulation Methods / 4.3.1：
Linear Modulation with Memory / 4.3.2：
Non-linear Modulation Methods with Memory--CPFSK and CPM / 4.3.3：
Spectral Characteristics of Digitally Modulated Signals / 4.4：
Power Spectra of Linearly Modulated Signals / 4.4.1：
Power Spectra of CPFSK and CPM Signals / 4.4.2：
Power Spectra of Modulated Signals with Memory / 4.4.3：
Problem / 4.5：
Optimum Receivers for the Additive White Gaussian Noise Channel / 5：
Optimum Receiver for Signals Corrupted by Additive White Gaussian Noise / 5.1：
Correlation Demodulator / 5.1.1：
Matched-Filter Demodulator / 5.1.2：
The Optimum Detector / 5.1.3：
The Maximum-Likelihood Sequence Detector / 5.1.4：
A Symbol-by-Symbol MAP Detector for Signals with Memory / 5.1.5：
Performance of the Optimum Receiver for Memoryless Modulation / 5.2：
Probability of Error for Binary Modulation / 5.2.1：
Probability of Error for M-ary Orthogonal Signals / 5.2.2：
Probability of Error for M-ary Biorthogonal Signals / 5.2.3：
Probability of Error for Simplex Signals / 5.2.4：
Probability of Error for M-ary Binary-Coded Signals / 5.2.5：
Probability of Error for M-ary PAM / 5.2.6：
Probability of Error for M-ary PSK / 5.2.7：
Differential PSK (DPSK) and Its Performance / 5.2.8：
Probability of Error for QAM / 5.2.9：
Comparison of Digital Modulation Methods / 5.2.10：
Optimum Receiver for CPM Signals / 5.3：
Optimum Demodulation and Detection of CPM / 5.3.1：
Performance of CPM Signals / 5.3.2：
Symbol-by-Symbol Detection of CPM Signals / 5.3.3：
Suboptimum Demodulation and Detection of CPM Signals / 5.3.4：
Optimum Receiver for Signals with Random Phase in AWGN Channel / 5.4：
Optimum Receiver for Binary Signals / 5.4.1：
Optimum Receiver for M-ary Orthogonal Signals / 5.4.2：
Probability of Error for Envelope Detection of M-ary Orthogonal Signals / 5.4.3：
Probability of Error for Envelope Detection of Correlated Binary Signals / 5.4.4：
Performance Analysis for Wireline and Radio Communication Systems / 5.5：
Regenerative Repeaters / 5.5.1：
Link Budget Analysis in Radio Communication Systems / 5.5.2：
Carrier and Symbol Synchronziation / 5.6：
Signal Parameter Estimation / 6.1：
The Likelihood Function / 6.1.1：
Carrier Recovery and Symbol Synchronization in Signal Demodulation / 6.1.2：
Carrier Phase Estimation / 6.2：
Maximum-Likelihood Carrier Phase Estimation / 6.2.1：
The Phase-Locked Loop / 6.2.2：
Effect of Additive Noise on the Phase Estimate / 6.2.3：
Decision-Directed Loops / 6.2.4：
Non-Decision-Directed Loops / 6.2.5：
Symbol Timing Estimation / 6.3：
Maximum-Likelihood Timing Estimation / 6.3.1：
Non-Decision-Directed Timing Estimation / 6.3.2：
Joint Estimation of Carrier Phase and Symbol Timing / 6.4：
Performance Characteristics of ML Estimators / 6.5：
Channel Capacity and Coding / 6.6：
Channel Models and Channel Capacity / 7.1：
Channel Models / 7.1.1：
Channel Capacity / 7.1.2：
Achieving Channel Capacity with Orthogonal Signals / 7.1.3：
Channel Reliability Functions / 7.1.4：
Random Selection of Codes / 7.2：
Random Coding Based on M-ary Binary-Coded Signals / 7.2.1：
Random Coding Based on M-ary Multiamplitude Signals / 7.2.2：
Comparison of R*[subscript 0] with the Capacity of the AWGN Channel / 7.2.3：
Communication System Design Based on the Cutoff Rate / 7.3：
Block and Convolutional Channel Codes / 7.4：
Linear Block Codes / 8.1：
The Generator Matrix and the Parity Check Matrix / 8.1.1：
Some Specific Linear Block Codes / 8.1.2：
Cyclic Codes / 8.1.3：
Optimum Soft-Decision Decoding of Linear Block Codes / 8.1.4：
Hard-Decision Decoding of Linear Block Codes / 8.1.5：
Comparison of Performance Between Hard-Decision and Soft-Decision Decoding / 8.1.6：
Bounds on Minimum Distance of Linear Block Codes / 8.1.7：
Nonbinary Block Codes and Concatenated Block Codes / 8.1.8：
Interleaving of Coded Data for Channels with Burst Errors / 8.1.9：
Serial and Parallel Concatenated Block Codes / 8.1.10：
Convolutional Codes / 8.2：
The Transfer Function of a Convolutional Code / 8.2.1：
Optimum Decoding of Convolutional Codes--The Viterbi Algorithm / 8.2.2：
Probability of Error for Soft-Decision Decoding / 8.2.3：
Probability of Error for Hard-Decision Decoding / 8.2.4：
Distance Properties of Binary Convolutional Codes / 8.2.5：
Punctured Convolutional Codes / 8.2.6：
Other Decoding Algorithms for Convolutional Codes / 8.2.7：
Practical Considerations in the Application of Convolutional Codes / 8.2.8：
Nonbinary Dual-k Codes and Concatenated Codes / 8.2.9：
Parallel and Serial Concatenated Convolutional Codes / 8.2.10：
Coded Modulation for Bandwidth-Constrained Channels--Trellis-Coded Modulation / 8.3：
Signal Design for Band-Limited Channels / 8.4：
Characterization of Band-Limited Channels / 9.1：
Design of Band-Limited Signals for No Intersymbol Interference--The Nyquist Criterion / 9.2：
Design of Band-Limited Signals with Controlled ISI--Partial-Response Signals / 9.2.2：
Data Detection for Controlled ISI / 9.2.3：
Signal Design for Channels with Distortion / 9.2.4：
Probability of Error in Detection of PAM / 9.3：
Probability of Error for Detection of PAM with Zero ISI / 9.3.1：
Probability of Error for Detection of Partial-Response Signals / 9.3.2：
Modulation Codes for Spectrum Shaping / 9.4：
Communication Through Band-Limited Linear Filter Channels / 9.5：
Optimum Receiver for Channels with ISI and AWGN / 10.1：
Optimum Maximum-Likelihood Receiver / 10.1.1：
A Discrete-Time Model for a Channel with ISI / 10.1.2：
The Viterbi Algorithm for the Discrete-Time White Noise Filter Model / 10.1.3：
Performance of MLSE for Channels with ISI / 10.1.4：
Linear Equalization / 10.2：
Peak Distortion Criterion / 10.2.1：
Mean-Square-Error (MSE) Criterion / 10.2.2：
Performance Characteristics of the MSE Equalizer / 10.2.3：
Fractionally Spaced Equalizers / 10.2.4：
Baseband and Passband Linear Equalizers / 10.2.5：
Decision-Feedback Equalization / 10.3：
Coefficient Optimization / 10.3.1：
Performance Characteristics of DFE / 10.3.2：
Predictive Decision-Feedback Equalizer / 10.3.3：
Equalization at the Transmitter--Tomlinson-Harashima Precoding / 10.3.4：
Reduced Complexity ML Detectors / 10.4：
Iterative Equalization and Decoding--Turbo Equalization / 10.5：
Adaptive Equalization / 10.6：
Adaptive Linear Equalizer / 11.1：
The Zero-Forcing Algorithm / 11.1.1：
The LMS Algorithm / 11.1.2：
Convergence Properties of the LMS Algorithm / 11.1.3：
Excess MSE Due to Noisy Gradient Estimates / 11.1.4：
Accelerating the Initial Convergence Rate in the LMS Algorithm / 11.1.5：
Adaptive Fractionally Spaced Equalizer--The Tap Leakage Algorithm / 11.1.6：
An Adaptive Channel Estimator for ML Sequence Detection / 11.1.7：
Adaptive Decision-Feedback Equalizer / 11.2：
Adaptive Equalization of Trellis-Coded Signals / 11.3：
Recursive Least-Squares Algorithms for Adaptive Equalization / 11.4：
Recursive Least-Squares (Kalman) Algorithm / 11.4.1：
Linear Prediction and the Lattice Filter / 11.4.2：
Self-Recovering (Blind) Equalization / 11.5：
Blind Equalization Based on the Maximum-Likelihood Criterion / 11.5.1：
Stochastic Gradient Algorithms / 11.5.2：
Blind Equalization Algorithms Based on Second- and Higher-Order Signal Statistics / 11.5.3：
Multichannel and Multicarrier Systems / 11.6：
Multichannel Digital Communications in AWGN Channels / 12.1：
Binary Signals / 12.1.1：
M-ary Orthogonal Signals / 12.1.2：
Multicarrier Communications / 12.2：
Capacity of a Nonideal Linear Filter Channel / 12.2.1：
An FFT-Based Multicarrier System / 12.2.2：
Minimizing Peak-to-Average Ratio in the Multicarrier Systems / 12.2.3：
Spread Spectrum Signals for Digital Communications / 12.3：
Model of Spread Spectrum Digital Communication System / 13.1：
Direct Sequence Spread Spectrum Signals / 13.2：
Error Rate Performance of the Decoder / 13.2.1：
Some Applications of DS Spread Spectrum Signals / 13.2.2：
Effect of Pulsed Interference on DS Spread Spectrum Systems / 13.2.3：
Excision of Narrowband Interference in DS Spread Spectrum Systems / 13.2.4：
Generation of PN Sequences / 13.2.5：
Frequency-Hopped Spread Spectrum Signals / 13.3：
Performance of FH Spread Spectrum Signals in an AWGN Channel / 13.3.1：
Performance of FH Spread Spectrum Signals in Partial-Band Interference / 13.3.2：
A CDMA System Based on FH Spread Spectrum Signals / 13.3.3：
Other Types of Spread Spectrum Signals / 13.4：
Synchronization of Spread Spectrum Systems / 13.5：
Digital Communications through Fading Multipath Channels / 13.6：
Characterization of Fading Multipath Channels / 14.1：
Channel Correlation Functions and Power Spectra / 14.1.1：
Statistical Models for Fading Channels / 14.1.2：
The Effect of Signal Characteristics on the Choice of a Channel Model / 14.2：
Frequency-Nonselective, Slowly Fading Channel / 14.3：
Diversity Techniques for Fading Multipath Channels / 14.4：
Multiphase Signals / 14.4.1：
Digital Signaling over a Frequency-Selective, Slowly Fading Channel / 14.4.3：
A Tapped-Delay-Line Channel Model / 14.5.1：
The RAKE Demodulator / 14.5.2：
Performance of RAKE Demodulator / 14.5.3：
Receiver Structures for Channels with Intersymbol Interference / 14.5.4：
Coded Waveforms for Fading Channels / 14.6：
Probability of Error for Soft-Decision Decoding of Linear Binary Block Codes / 14.6.1：
Probability of Error for Hard-Decision Decoding of Linear Binary Block Codes / 14.6.2：
Upper Bounds on the Performance of Convolutional Codes for a Rayleigh Fading Channel / 14.6.3：
Use of Constant-Weight Codes and Concatenated Codes for a Fading Channel / 14.6.4：
System Design Based on the Cutoff Rate / 14.6.5：
Performance of Coded Phase-Coherent Communication Systems--Bit-Interleaved Coded Modulation / 14.6.6：
Trellis-Coded Modulation / 14.6.7：
Multiple-Antenna Systems / 14.7：
Multiuser Communications / 14.8：
Introduction to Multiple Access Techniques / 15.1：
Capacity of Multiple Access Methods / 15.2：
Code-Division Multiple Access / 15.3：
CDMA Signal and Channel Models / 15.3.1：
The Optimum Receiver / 15.3.2：
Suboptimum Detectors / 15.3.3：
Successive Interference Cancellation / 15.3.4：
Performance Characteristics of Detectors / 15.3.5：
Random Access Methods / 15.4：
ALOHA Systems and Protocols / 15.4.1：
Carrier Sense Systems and Protocols / 15.4.2：
The Levinson-Durbin Algorithm / 15.5：
Error Probability for Multichannel Binary Signals / Appendix B：
Error Probabilities for Adaptive Reception of M-Phase Signals / Appendix C：
Mathematical Model for M-Phase Signaling Communication System / C.1：
Characteristic Function and Probability Density Function of the Phase [theta] / C.2：
Error Probabilities for Slowly Rayleigh Fading Channels / C.3：
Error Probabilities for Time-Invariant and Ricean Fading Channels / C.4：
Square-Root Factorization / Appendix D：
References and Bibliography
Index
Preface
Introduction / 1：
Elements of a Digital Communication System / 1.1：
29.
図書
Albert Boggess, Francis J. Narcowich
出版情報:
Upper Saddle River, NJ : Prentice Hall, c2001 xix, 283 p. ; 25 cm
子書誌情報:
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所蔵情報:
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目次情報:
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Preface
Acknowledgments
Inner Product Spaces / 0：
Motivation / 0.1：
Definition of Inner Product / 0.2：
The Spaces L[superscript 2] and l[superscript 2] / 0.3：
Definitions / 0.3.1：
Convergence in L[superscript 2] versus Uniform Convergence / 0.3.2：
Schwarz and Triangle Inequalities / 0.4：
Orthogonality / 0.5：
Definitions and Examples / 0.5.1：
Orthogonal Projections / 0.5.2：
Gram-Schmidt Orthogonalization / 0.5.3：
Linear Operators and Their Adjoints / 0.6：
Linear Operators / 0.6.1：
Adjoints / 0.6.2：
Least Squares and Linear Predictive Coding / 0.7：
Best Fit Line for Data / 0.7.1：
General Least Squares Algorithm / 0.7.2：
Linear Predictive Coding / 0.7.3：
Exercises / 0.8：
Fourier Series / 1：
Introduction / 1.1：
Historical Perspective / 1.1.1：
Signal Analysis / 1.1.2：
Partial Differential Equations / 1.1.3：
Computation of Fourier Series / 1.2：
On the Interval -[pi] [less than or equal] x [less than or equal] [pi] / 1.2.1：
Other Intervals / 1.2.2：
Cosine and Sine Expansions / 1.2.3：
Examples / 1.2.4：
The Complex Form of Fourier Series / 1.2.5：
Convergence Theorems for Fourier Series / 1.3：
The Riemann-Lebesgue Lemma / 1.3.1：
Convergence at a Point of Continuity / 1.3.2：
Convergence at a Point of Discontinuity / 1.3.3：
Uniform Convergence / 1.3.4：
Convergence in the Mean / 1.3.5：
The Fourier Transform / 1.4：
Informal Development of the Fourier Transform / 2.1：
The Fourier Inversion Theorem / 2.1.1：
Properties of the Fourier Transform / 2.1.2：
Basic Properties / 2.2.1：
Fourier Transform of a Convolution / 2.2.2：
Adjoint of the Fourier Transform / 2.2.3：
Plancherel Formula / 2.2.4：
Linear Filters / 2.3：
Time Invariant Filters / 2.3.1：
Causality and the Design of Filters / 2.3.2：
The Sampling Theorem / 2.4：
The Uncertainty Principle / 2.5：
Discrete Fourier Analysis / 2.6：
The Discrete Fourier Transform / 3.1：
Definition of Discrete Fourier Transform / 3.1.1：
Properties of the Discrete Fourier Transform / 3.1.2：
The Fast Fourier Transform / 3.1.3：
The FFT Approximation to the Fourier Transform / 3.1.4：
Application--Parameter Identification / 3.1.5：
Application--Discretizations of Ordinary Differential Equations / 3.1.6：
Discrete Signals / 3.2：
Time Invariant, Discrete Linear Filters / 3.2.1：
Z-Transform and Transfer Functions / 3.2.2：
Haar Wavelet Analysis / 3.3：
Why Wavelets? / 4.1：
Haar Wavelets / 4.2：
The Haar Scaling Function / 4.2.1：
Basic Properties of the Haar Scaling Function / 4.2.2：
The Haar Wavelet / 4.2.3：
Haar Decomposition and Reconstruction Algorithms / 4.3：
Decomposition / 4.3.1：
Reconstruction / 4.3.2：
Filters and Diagrams / 4.3.3：
Summary / 4.4：
Multiresolution Analysis / 4.5：
The Multiresolution Framework / 5.1：
Definition / 5.1.1：
The Scaling Relation / 5.1.2：
The Associated Wavelet and Wavelet Spaces / 5.1.3：
Decomposition and Reconstruction Formulas: A Tale of Two Bases / 5.1.4：
Implementing Decomposition and Reconstruction / 5.1.5：
The Decomposition Algorithm / 5.2.1：
The Reconstruction Algorithm / 5.2.2：
Processing a Signal / 5.2.3：
Fourier Transform Criteria / 5.3：
The Scaling Function / 5.3.1：
Orthogonality via the Fourier Transform / 5.3.2：
The Scaling Equation via the Fourier Transform / 5.3.3：
Iterative Procedure for Constructing the Scaling Function / 5.3.4：
The Daubechies Wavelets / 5.4：
Daubechies's Construction / 6.1：
Classification, Moments, and Smoothness / 6.2：
Computational Issues / 6.3：
The Scaling Function at Dyadic Points / 6.4：
Other Wavelet Topics / 6.5：
Computational Complexity / 7.1：
Wavelet Algorithm / 7.1.1：
Wavelet Packets / 7.1.2：
Wavelets in Higher Dimensions / 7.2：
Relating Decomposition and Reconstruction / 7.3：
Transfer Function Interpretation / 7.3.1：
Wavelet Transform / 7.4：
Definition of the Wavelet Transform / 7.4.1：
Inversion Formula for the Wavelet Transform / 7.4.2：
Technical Matters / Appendix A：
Proof of the Fourier Inversion Formula / A.1：
Rigorous Proof of Theorem 5.17 / A.2：
Proof of Theorem 5.10 / A.2.1：
Proof of the Convergence Part of Theorem 5.23 / A.2.2：
Matlab Routines / Appendix B：
General Compression Routine / B.1：
Use of MATLAB's FFT Routine for Filtering and Compression / B.2：
Sample Routines Using MATLAB's Wavelet Toolbox / B.3：
MATLAB Code for the Algorithms in Section 5.2 / B.4：
Bibliography
Index
Preface
Acknowledgments
Inner Product Spaces / 0：
30.
図書
C. J. Gantes
目次情報:
続きを見る
Preface
Overview / Part I：
Introduction / Chapter 1：
The concept of deployable structures / 1.1：
Motivation for research / 1.2：
Potential applications / 1.3：
Advantages / 1.4：
Types of deployable structures / 1.5：
Research centers for deployable structures / 1.6：
Layout of the book / 1.7：
Earth-Based Deployable Structures / Chapter 2：
Classification / 2.1：
Deployable structures based on pantographs / 2.2：
Deployable structures based on 2-D panels / 2.3：
Cable and membrane deployable structures / 2.4：
Pneumatic deployable structures / 2.5：
Tensegrity deployable structures / 2.6：
Retractable roofs / 2.7：
Other architectural applications / 2.8：
Deployable Structures for Space Applications / Chapter 3：
Early designs / 3.1：
The concept of adaptivity / 3.2：
Recent designs / 3.3：
Snap-Through Type Deployable Structures / Part II：
Introductory Remarks / Chapter 4：
The concept of snap-through / 4.1：
Examples of bi-stable structures / 4.2：
Historical evolution / 4.3：
Structural behavior / 4.4：
Geometric Design / Chapter 5：
The geometric design approach / 5.1：
Polygonal units for flat structures / 5.2：
Geometric constraints / 5.2.1：
Geometric design / 5.2.2：
Discrete joint dimensions / 5.2.3：
Geometric constraints for flat unit assemblages / 5.3：
Polygonal units for curved structures / 5.4：
Geometric constraints for curved unit assemblages / 5.4.1：
Polyhedra with polygons of one order i[subscript 1] / 5.5.1：
Polyhedra with polygons of two orders i[subscript 1] and i[subscript 2] / 5.5.2：
Polyhedra with polygons of three orders i[subscript 1], i[subscript 2], and i[subscript 3] / 5.5.3：
Trapezoidal units for flat structures / 5.6：
Structures with arbitrary geometry / 5.6.1：
Prismatic units / 5.7.1：
Pyramidal units / 5.7.1.1：
Experimental verification / 5.7.2.1：
Description of experimental program / 5.8.1：
Small-scale models / 5.8.2：
Medium-scale models / 5.8.3：
Hub design / 5.8.4：
Full-size model / 5.8.5：
Testing / 5.8.6：
Suggestions for future experimental work / 5.8.7：
Concluding remarks on geometric design / 5.9：
Structural Analysis / Chapter 6：
Analysis in the deployed configuration / 6.1：
The finite element approach / 6.2.1：
Modeling of deployable flat slabs via equivalent continua / 6.2.2：
Substitution of SLEs by uniform beams / 6.2.2.1：
Substitution of equivalent grid by equivalent slab / 6.2.2.2：
Model verification and limitations / 6.2.2.3：
Analysis during deployment / 6.3：
Basic considerations for single units / 6.3.1：
Friction: main mechanism and proposed model / 6.3.2：
The proposed friction model / 6.3.2.1：
Exact model for pivotal connection between two bars / 6.3.2.2：
Exact model for hinged connections between bars and hubs / 6.3.2.3：
Approximate model for pivotal connection / 6.3.2.4：
Approximate model for hinged connection / 6.3.2.5：
Implementation of the proposed model / 6.3.2.6：
Verification of the proposed numerical model / 6.3.2.7：
Conclusions on finite element modeling for single deployable units / 6.3.3：
Deployment results for multi-unit structures / 6.3.4：
Proposed approximate model for multi-unit structures / 6.3.4.1：
Analytical prediction of snap-through intensity / 6.3.5：
Derivation of approximate models for flat units / 6.3.5.1：
Verification of approximate models for flat units / 6.3.5.2：
Derivation of approximate model for curved units / 6.3.5.3：
Verification of approximate models for curved units / 6.3.5.4：
Concluding remarks / 6.3.5.5：
Design Methodology / Chapter 7：
Introductory remarks / 7.1：
A general design methodology / 7.2：
A design methodology for flat structures / 7.3：
Optimization of material and cross-section properties / 7.4：
Design Examples / Chapter 8：
Presentation of case studies / 8.1：
Deployable flat slab / 8.2：
Deployable semi-circular arch / 8.3：
Airship cover / 8.4：
Temporary shelter / 8.5：
Deployable scaffolding / 8.6：
References
World Wide Web Sites of Related Interest
List of Figures and Figure Credits
Index
Preface
Overview / Part I：
Introduction / Chapter 1：
31.
図書
Gerry Christensen, Paul G. Florack, Robert Duncan
目次情報:
続きを見る
Foreword
Preface
Acknowledgments
Introduction to Mobile Communications, Network Signaling, and Intelligent Networking / Part 1：
Fundamentals of Mobile Communications / 1：
Personal Communications Concept / 1.1：
Origins of Radio Technology / 1.2：
Evolution of Mobile Communications / 1.3：
Fundamental Mobile Communications Concepts / 1.4：
Electromagnetic Waves / 1.4.1：
Bandwidth / 1.4.2：
Modulation / 1.4.3：
Frequency Reuse / 1.4.4：
Multiplexing / 1.4.5：
Radio Technology / 1.4.6：
Wireless System Architecture / 1.5：
Mobile Switching Center / 1.5.1：
Mobile Station / 1.5.2：
Cell Site / 1.5.3：
Frequency Reuse Implementations / 1.5.4：
Handoff / 1.5.5：
Mobility Management / 1.5.6：
Wireless Service Implementations / 1.6：
Government Frequency Allocation / 1.6.1：
Carriers and Technology / 1.6.2：
Mobile Communications Technology Evolution / 1.6.3：
Wireless Intelligent Networking / 1.6.4：
Mobile Communications Standards / 2：
Purpose of Standards / 2.1：
Standards Groups and Related Organizations / 2.2：
International Standardization / 2.2.1：
National and Regional Standardization / 2.2.2：
Trade and Special Interest Groups / 2.2.3：
GSM Association / 2.2.4：
GSM Alliance / 2.2.5：
Standardization for Mobile Packet Data Environment / 2.2.6：
Mobile Wireless Internet Forum / 2.2.7：
Joint Initiative toward Mobile Multimedia / 2.2.8：
Wireless Data Development Groups / 2.2.9：
Overview of the Standards Creation Process / 2.3：
Structure and Organization / 2.3.1：
TIA Committee TR45 / 2.3.2：
SMG / 2.3.3：
Three Stage Specification Process / 2.3.4：
Standards Acceptance Process / 2.3.5：
Radio Technology Standards / 2.4：
NMT / 2.4.1：
TACS / 2.4.2：
AMPS / 2.4.3：
D-AMPS / 2.4.4：
CDMA / 2.4.5：
GSM / 2.4.6：
PDC / 2.4.7：
ESMR / 2.4.8：
Satellite Technologies / 2.4.9：
Mobile Network Standards / 2.5：
ANSI-41 / 2.5.1：
GSM MAP / 2.5.2：
ANSI-41 versus GSM MAP / 2.5.3：
Wireless Intelligent Networking Standards / 2.6：
WIN / 2.6.1：
CAMEL / 2.6.2：
Evolution to Third-Generation Wireless Standards / 2.7：
HSCSD / 2.7.1：
GPRS / 2.7.2：
EDGE / 2.7.3：
W-CDMA / 2.7.4：
Summary of Third-Generation Wireless Standards / 2.7.5：
Wireless Signaling and Intelligent Networking / 3：
Overview of SS7 Network Signaling / 3.1：
What Is Signaling? / 3.1.1：
Common Channel Signaling / 3.1.2：
Signaling Services / 3.1.3：
Physical SS7 Network / 3.2：
Service Switching Points / 3.2.1：
Signal Control Point / 3.2.2：
Signal Transfer Point / 3.2.3：
Signaling Links / 3.2.4：
SS7 Network Deployments / 3.2.5：
SS7 Protocols / 3.3：
OSI Reference Model / 3.3.1：
Message Transfer Part / 3.3.2：
SCCP / 3.3.3：
Upper Layers / 3.3.4：
Signaling in a Wireless Network / 3.4：
Wireless Network Elements / 3.4.1：
Wireless Network Reference Models / 3.4.2：
MAP / 3.4.3：
Intelligent Networking / 3.4.4：
Call Control / 3.5.1：
Service-Independent Architecture / 3.5.2：
Service Creation / 3.5.3：
IN Modeling / 3.5.4：
Evolution of Wireless Intelligent Networking Technology / Part 2：
The Evolution of Wireless Intelligent Networking / 4：
Origins of Intelligent Networking / 4.1：
Automatic Switching / 4.1.1：
Stored Program Control / 4.1.2：
Intelligent Network / 4.1.3：
Advanced Intelligent Network / 4.1.5：
Wireless Intelligent Networking versus WIN / 4.2：
Relationship of Wireless Intelligent Networking Standards / 4.2.2：
Migration from Point Solutions to Network-Based Solutions / 4.4：
Impetus for Migration / 4.4.1：
Advantages of Network-Based Solutions / 4.4.2：
Operational Challenges of Network-Based Solutions / 4.4.3：
Wireless Intelligent Networking Capabilities / 5：
Intelligence in Telecommunications Networks / 5.1：
Fixed Network Intelligence / 5.1.1：
Mobile Network Intelligence / 5.1.2：
Drivers for Improved Mobile Network Intelligence / 5.1.3：
Standardized Intelligence for Mobile Networks: WIN and CAMEL / 5.2：
Enabling Architecture and Standardized Capabilities / 5.2.1：
Phased Development of Standards / 5.2.2：
Wireless Intelligent Network / 5.3：
Pre-WIN / 5.3.1：
WIN Phase I / 5.3.2：
WIN Phase II / 5.3.3：
WIN Phase III / 5.3.4：
Service and Feature Support Between Incompatible Networks / 5.3.5：
Summary of WIN / 5.3.6：
Customized Applications for Mobile Enhanced Logic / 5.4：
CAMEL Phase I / 5.4.1：
CAMEL Phase II / 5.4.2：
CAMEL Trigger Detection Points / 5.4.3：
Summary of CAMEL / 5.4.4：
WIN and CAMEL Implementation Issues / 5.5：
WIN and CAMEL Operational Issues / 5.6：
Mobile Communications Business Issues / Part 3：
Mobile Market Environment and Trends / 6：
Competition / 6.1：
More Carriers = Greater Choice for Consumers / 6.1.1：
Downward Price Pressure = Lower Revenue per Unit / 6.1.2：
Consolidation and Alliances / 6.1.3：
Need for Differentiation / 6.1.4：
Who Owns the Customer Anyway? / 6.1.5：
Technological Advancement / 6.2：
Radio / 6.2.1：
Switching / 6.2.2：
Networking / 6.2.3：
Network Intelligence / 6.2.4：
Consumer Behavior and Enterprise Needs / 6.3：
Personal Communications / 6.3.1：
Need for Mobility / 6.3.2：
Greater Usage and Dependence / 6.3.3：
Calling Patterns / 6.3.4：
Wireless/Wireline Integration / 6.3.5：
Increased Desire for Control / 6.3.6：
Access and Control of Information, Content, and Transactions / 6.3.7：
Electronic Commerce / 6.3.8：
Enhanced and Value-Added Services / 6.3.9：
Expectations of Greater Value / 6.3.10：
Regulation / 6.4：
Regulatory Bodies / 6.4.1：
Regulatory Developments / 6.4.2：
Effect on Wireless Intelligent Networking / 6.4.3：
Creating Market and Product/Service Value / 7：
Value-Added Products and Services / 7.1：
Basic Issues / 7.2：
Market Needs and Readiness / 7.2.1：
Development Capability / 7.2.2：
Realization of Return on Investment Needs / 7.2.3：
Product/Service Economic Analysis / 7.2.4：
Product Development Process / 7.2.5：
Product Development Process Example / 7.2.6：
Technology Availability / 7.3：
Standards / 7.3.1：
Application Development / 7.3.2：
Network Element Readiness / 7.3.3：
Spectrum Availability / 7.3.4：
Strategy Formulation / 7.4：
Focus in a Defined Area / 7.4.1：
Market Strategy / 7.4.2：
Promote Value and Loyalty through Effective Business Processes / 7.4.3：
Gain and Retain Market Share / 7.4.4：
Leverage Emerging Capabilities for Many Services/Features / 7.4.5：
Pre-WIN/CAMEL Alternatives / 7.5：
Proprietary Solutions Based on TCAP Signaling / 7.5.1：
ISUP-Based Call Control Solutions / 7.5.2：
Summary / 7.5.3：
In-House Versus Outsource / 7.6：
Vendor Solutions / 7.6.1：
Wholesale Service Alternatives / 7.6.2：
Leveraging Intelligence for Improved Network Capabilities and Advanced Services / 7.6.4：
Evolution of Wireless IN Services: From Emulation to Differentiation / 8：
Intelligent Network Solutions to Wireless Fraud / 8.1：
Pre-Call Validation / 8.1.1：
Cloning Fraud / 8.1.2：
Detection via ANSI-41 Messaging / 8.1.3：
Roamer Verification and Reinstatement (RVR) / 8.1.4：
Authentication / 8.1.5：
Network-Based HLR / 8.2：
Initial Rationale and Benefit of Deployment / 8.2.1：
Deployment Issues: Feature Availability / 8.2.2：
Deployment Issues: Operational Concerns / 8.2.3：
Long-Term Strategic Advantages / 8.2.4：
Wireless Adds Wireline Services / 8.3：
Emulation of Basic Wireline Features, IS-53 Standardizes Look and Feel / 8.3.1：
Emulation of Wireline IN Services / 8.3.2：
Integration of Wireline + Wireless Services ("Fixed/Mobile Convergence") / 8.3.3：
Wireless-Specific Services Emerge / 8.4：
Messaging / 8.4.1：
Location Technology and Services / 8.4.2：
Wireless Data / 8.5：
Emergence of Data Prominence / 8.5.1：
WIN Must Evolve to Encompass Internet-Based Services / 8.5.2：
A New View of Network Intelligence (SCPs and Web Servers) / 8.5.3：
Access to Web Information = Unlimited Applications / 8.5.4：
Information Acess (Circuit- and Packet-Switched Access) / 8.5.5：
Third-Generation (3G) Wireless Technology / 8.5.6：
Evolution of WIN Architecture: Embracing the Internet and Data Services / 8.5.7：
Trends for Next-Generation Networks: Convergent IN + IP Technologies / 9.1：
Industry Trends / 9.1.1：
Networking Requirements for a Converging Voice/Data Network / 9.1.2：
Hybrid IN + IP Networks / 9.2：
Convergence of IN (SS7) and IP Signaling / 9.2.1：
PINT: IP Subscriber Services Adding IN Telephony Services (IP [left arrow] IN), Yielding a hybrid IP + IN Service / 9.2.2：
SPIRITS: IN Subscriber Services Adding IP Services (IN [left arrow] IP), Yielding a Hybrid IN + IP Service / 9.2.3：
IP Telephony: IP Subscribers Inherit IN Telephony Services (IP [left arrow] IN), Yielding an IP-Based Telephony Service / 9.2.4：
IN Access to IP-Based Service Logic--WAP Services as an Alternative to WIN / 9.2.5：
Open Service Creation / 9.3：
Promise of Competitive Applications Market / 9.3.1：
Conclusion / 9.4：
Intelligent Networking Architecture and Design Concepts / Appendix A：
Mobile Communications and Internet Organizations / Appendix B：
Selected Terms and Acronyms / Appendix C：
Bibliography
About the Authors
Index
Foreword
Preface
Acknowledgments
32.
図書
Computer Measurement Group
出版情報:
Turnersville, N.J. : Computer Measurement Group, c2001 2 v. (xx, 968 p.) ; 28 cm
子書誌情報:
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33.
図書
Fred V. Brock, Scott J. Richardson and Oklahoma Climatological Survey
出版情報:
Oxford : Tokyo : Oxford University Press, 2001 xi, 290 p. ; 25 cm
子書誌情報:
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所蔵情報:
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目次情報:
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Overview / 1：
Instrument Design and Selection / 1.1：
Performance Characteristics / 1.1.1：
Functional Model / 1.1.2：
Sources of Error / 1.1.3：
Standards / 1.2：
Calibration / 1.2.1：
Performance / 1.2.2：
Exposure / 1.2.3：
Procedural / 1.2.4：
System Integration / 1.3：
Instrument Platforms / 1.3.1：
Communication Systems / 1.3.2：
Power Source / 1.3.3：
Human Aspects of Measurement / 1.4：
Human Perception versus Sensor Measurements / 1.4.1：
Reasons for Automation / 1.4.2：
Design, Implementation, and Maintenance of Measurement Systems / 1.4.3：
Interpretation of Sensor Specifications / 1.4.4：
Interpretation of Results / 1.4.5：
Human Judgment / 1.4.6：
Quality Assurance / 1.5：
Laboratory Calibrations / 1.5.1：
Field Intercomparisons / 1.5.2：
Data Monitoring / 1.5.3：
Documentation / 1.5.4：
Independent Review / 1.5.5：
Publication of Data Quality Assessment / 1.5.6：
Scope of this Text / 1.6：
Questions
Bibliography
General Instrumentation References
Barometry / 2：
Atmospheric Pressure / 2.1：
Direct Measurement of Pressure / 2.2：
Mercury Barometers / 2.2.1：
Aneroid Barometers / 2.2.2：
Indirect Measurement of Pressure / 2.3：
Boiling Point of a Liquid / 2.3.1：
Comparison of Barometer Types / 2.4：
Hypsometer / 2.4.1：
Exposure Error / 2.5：
Laboratory Experiment / 2.6：
Calibration of Barometers / 2.7：
Static Performance Characteristics / 3：
Some Definitions / 3.1：
Static Calibration / 3.2：
Definition of Terms Related to the Transfer Plot / 3.2.1：
Calibration Procedure / 3.2.2：
Example of a Static Calibration / 3.3：
Multiple Sources of Error / 3.4：
Significant Figures / 3.5：
Questions and Problems
Thermometry / 4：
Thermal Expansion / 4.1：
Bimetallic Strip / 4.1.1：
Liquid-in-Glass Thermometer / 4.1.2：
Thermoelectric Sensors / 4.2：
Electrical Resistance Sensors / 4.3：
Resistance Temperature Detectors / 4.3.1：
Thermistors / 4.3.2：
Comparison of Temperature Sensors / 4.4：
Exposure of Temperature Sensors / 4.5：
Notes
Hygrometry / 5：
Water Vapor Pressure / 5.1：
Definitions / 5.2：
Methods for Measuring Humidity / 5.3：
Removal of Water Vapor from Moist Air / 5.3.1：
Addition of Water Vapor to Air / 5.3.2：
Equilibrium Sorption of Water Vapor / 5.3.3：
Measurement of Physical Properties of Moist Air / 5.3.4：
Attainment of Vapor-Liquid or Vapor-Solid Equilibrium / 5.3.5：
Chemical Reactions / 5.3.6：
Choice of Humidity Sensor / 5.4：
Calibration of Humidity Sensors / 5.5：
Exposure of Humidity Sensors / 5.6：
Laboratory Exercises
Dynamic Performance Characteristics, Part 1 / 6：
First-Order Systems / 6.1：
Step-Function Input / 6.1.1：
Ramp Input / 6.1.2：
Sinusoidal Input / 6.1.3：
Experimental Determination of Dynamic Performance Parameters / 6.2：
Application to Temperature Sensors / 6.3：
Anemometry / 7：
Methods of Measurement / 7.1：
Wind Force / 7.1.1：
Heat Dissipation / 7.1.2：
Speed of Sound / 7.1.3：
Wind Data Processing / 7.2：
Dynamic Performance Characteristics, Part 2 / 8：
Generalized Dynamic Performance Models / 8.1：
Energy Storage Reservoirs / 8.2：
Second-Order Systems / 8.3：
Step Function Input / 8.3.1：
Application to Sensors / 8.3.2：
Precipitation Rate / 8.5：
Point Precipitation Measurement / 9.1：
Radar Rain Measurement / 9.2.2：
Solar and Earth Radiation / 10：
Pyrheliometers / 10.1：
Pyranometers / 10.2.2：
Pyrgeometers / 10.2.3：
Pyrradiometers / 10.2.4：
Measurement Errors / 10.3：
Visibility and Cloud Height / 10.4：
Measurement of Visibility / 11.1：
Transmissometer / 11.2.1：
Forward Scatter Meters / 11.2.2：
Measurement of Cloud Height / 11.3：
Rotating Beam Ceilometer / 11.3.1：
Laser Ceilometer / 11.3.2：
Upper Air Measurements / 12：
Methods for Making Upper Air Measurements / 12.1：
Remote Sensing / 12.1.1：
In-Situ Platforms / 12.1.2：
Balloons / 12.2：
Wind Measurement / 12.3：
Theodolites / 12.3.1：
Radar / 12.3.2：
Navigation Aids / 12.3.3：
Radiosondes / 12.4：
Sampling and Analog-to-Digital Conversion / 12.5：
Signal Path / 13.1：
Drift / 13.2：
Sampling / 13.3：
Analog-to-Digital Conversion / 13.4：
Information Content of a Signal / 13.5：
Units and Constants / A：
International System of Units (SI)
Numerical Values
Thermistor Circuit Analysis / B：
A Thermistor / B.1：
A Circuit / B.2：
An Alternative Calibration Equation / B.3：
A Data Logger / C：
The Data Logger / C.1：
Application in a Measurement System / C.2：
Circuits / D：
Fundamentals / D.1：
Simple Circuits / D.2：
Geophysical Coordinate System / E：
Geophysical versus Mathematical Coordinate System / E.1：
Mathematical Coordinates / E.2：
Geophysical Coordinates / E.3：
Instrumentation Glossary / F：
Index
Overview / 1：
Instrument Design and Selection / 1.1：
Performance Characteristics / 1.1.1：
34.
図書
Ralf Küsters
目次情報:
続きを見る
Introduction / 1：
Description Logics / 2：
History / 2.1：
Syntax and Semantics of Description Logics / 2.2：
Concept Descriptions / 2.2.1：
Terminologies (TBoxes) / 2.2.2：
World Descriptions (ABoxes) / 2.2.3：
Standard Inferences / 2.3：
Decision Algorithms / 2.4：
Non-Standard Inferences / 3：
LCS and MSC / 3.1：
Definition of LCS and MSC / 3.1.1：
Applications of LCS and MSC / 3.1.2：
Previous Results / 3.1.3：
New Results / 3.1.4：
Matching / 3.2：
Definition of Matching Problems / 3.2.1：
Applications of Matching / 3.2.2：
Solutions of Matching Problems / 3.2.3：
The Underlying Techniques / 3.2.4：
Other Non-Standard Inferences / 3.4：
Characterizing Subsumption / 4：
Subsumption in ALNS / 4.1：
A Graph-Based Characterization of Subsumption / 4.1.1：
A Description-Based Characterization of Subsumption / 4.1.2：
Subsumption in ALE / 4.2：
A Tree-Based Characterization of Subsumption / 4.3.1：
LCS for ALNS-Concept Descriptions / 4.3.2：
The LCS in ALNS / 5.1.1：
The LCS in LS / 5.1.2：
LCS for ALE-Concept Descriptions / 5.2：
Matching in ALNS / 6：
Deciding the Solvability of Matching Problems / 6.1.1：
Computing Minimal i-Complete Sets / 6.1.2：
Computing Minimal d-Complete Sets / 6.1.3：
Deciding the Solvability of Matching / 6.2：
Matching in ALE / 6.2.2：
Matching in EL / 6.3.1：
Equivalence of ALE-Concept Descriptions / 6.3.2：
Deciding the Solvability of Matching in FLE / 6.3.3：
Deciding the Solvability of Matching in ALE / 6.3.4：
Computing i-Minimal Matchers in ALE / 6.3.5：
Computing d-Minimal Matchers in ALE / 6.3.6：
Conclusion / 7：
References
Index
Introduction / 1：
Description Logics / 2：
History / 2.1：
35.
図書
Jiming Liu, Jianbing Wu
目次情報:
続きを見る
Motivation, Approaches, and Outstanding Issues / I：
Why Multiple Robots? / 1：
Advantages / 1.1：
Major Themes / 1.2：
Agents and Multi-Agent Systems / 1.3：
Multi-Agent Robotics / 1.4：
Toward Cooperative Control / 2：
Cooperation-Related Research / 2.1：
Distributed Artificial Intelligence / 2.1.1：
Distributed Systems / 2.1.2：
Biology / 2.1.3：
Learning, Evolution, and Adaptation / 2.2：
Design of Multi-Robot Control / 2.3：
Approaches / 3：
Behavior-Based Robotics / 3.1：
Collective Robotics / 3.2：
Evolutionary Robotics / 3.3：
Inspiration from Biology and Sociology / 3.4：
Summary / 3.5：
Models and Techniques / 4：
Reinforcement Learning / 4.1：
Markov Decision Process / 4.1.1：
Reinforcement Learning Algorithms / 4.1.2：
Temporal Differencing Techniques / 4.1.3：
Q-Learning / 4.1.4：
Multi-Agent Reinforcement Learning / 4.1.5：
Genetic Algorithms / 4.2：
Artificial Life / 4.3：
Artificial Immune System / 4.4：
Probabilistic Modeling / 4.5：
Related Work on Multi-Robot Planning and Coordination / 4.6：
Outstanding Issues / 5：
Self-Organization / 5.1：
Local vs. Global Performance / 5.2：
Planning / 5.3：
Multi-Robot Learning / 5.4：
Coevolution / 5.5：
Emergent Behavior / 5.6：
Reactive vs. Symbolic Systems / 5.7：
Heterogeneous vs. Homogeneous Systems / 5.8：
Simulated vs. Physical Robots / 5.9：
Dynamics of Multi-Agent Robotic Systems / 5.10：
Case Studies in Learning / 5.11：
Multi-Agent Reinforcement Learning: Technique / 6：
Autonomous Group Robots / 6.1：
Overview / 6.1.1：
Sensing Capability / 6.1.2：
Long-Range Sensors / 6.1.3：
Short-Range Sensors / 6.1.4：
Stimulus Extraction / 6.1.5：
Primitive Behaviors / 6.1.6：
Motion Mechanism / 6.1.7：
Formulation of Reinforcement Learning / 6.2：
Behavior Selection Mechanism / 6.2.2：
Multi-Agent Reinforcement Learning: Results / 6.3：
Measurements / 7.1：
Stimulus Frequency / 7.1.1：
Behavior Selection Frequency / 7.1.2：
Group Behaviors / 7.2：
Collective Surrounding / 7.2.1：
Cooperation among Ranger Robots / 7.2.2：
Moving away from Spatially Cluttered Locations / 7.2.2.1：
Changing a Target / 7.2.2.2：
Cooperatively Pushing Scattered Objects / 7.2.2.3：
Collective Manipulation of Scattered Objects / 7.2.2.4：
Concurrent Learning in Different Groups of Robots / 7.2.3：
Concurrent Learning in Predator and Prey / 7.2.3.1：
Chasing / 7.2.3.2：
Escaping from a Surrounding Crowd / 7.2.3.3：
Multi-Agent Reinforcement Learning: What Matters? / 8：
Collective Sensing / 8.1：
Initial Spatial Distribution / 8.2：
Inverted Sigmoid Function / 8.3：
Emerging a Periodic Motion / 8.4：
Macro-Stable but Micro-Unstable Properties / 8.7：
Dominant Behavior / 8.8：
Evolutionary Multi-Agent Reinforcement Learning / 9：
Robot Group Example / 9.1：
Target Spatial Distributions / 9.1.1：
Target Motion Characteristics / 9.1.2：
Behavior Learning Mechanism / 9.1.3：
Evolving Group Motion Strategies / 9.2：
Chromosome Representation / 9.2.1：
Fitness Functions / 9.2.2：
The Algorithm / 9.2.3：
Parameters in the Genetic Algorithm / 9.2.4：
Examples / 9.3：
Case Studies in Adaptation / 9.4：
Coordinated Maneuvers in a Dual-Agent System / 10：
Issues / 10.1：
Dual-Agent Learning / 10.2：
Specialized Roles in a Dual-Agent System / 10.3：
The Basic Capabilities of the Robot Agent / 10.4：
The Rationale of the Advice-Giving Agent / 10.5：
The Basic Actions: Learning Prerequisites / 10.5.1：
Genetic Programming of General Maneuvers / 10.5.2：
Genetic Programming of Specialized Strategic Maneuvers / 10.5.3：
Acquiring Complex Maneuvers / 10.6：
Experimental Design / 10.6.1：
The Complexity of Robot Environments / 10.6.2：
Experimental Results / 10.6.3：
Lightweight or Heavyweight Flat Posture / 10.6.4：
Lightweight Curved Posture / 10.6.5：
Lightweight Corner Posture / 10.6.6：
Lightweight Point Posture / 10.6.7：
Collective Behavior / 10.7：
Group Behavior / 11.1：
What is Group Behavior? / 11.1.1：
Group Behavior Learning Revisited / 11.1.2：
The Approach / 11.2：
The Basic Ideas / 11.2.1：
Group Robots / 11.2.2：
Performance Criterion for Collective Box-Pushing / 11.2.3：
Evolving a Collective Box-Pushing Behavior / 11.2.4：
The Remote Evolutionary Computation Agent / 11.2.5：
Collective Box-Pushing by Applying Repulsive Forces / 11.3：
A Model of Artificial Repulsive Forces / 11.3.1：
Pushing Force and the Resulting Motion of a Box / 11.3.2：
Fitness Function / 11.3.3：
Task Environment / 11.3.5：
Simulation Results / 11.3.5.2：
Generation of Collective Pushing Behavior / 11.3.5.3：
Adaptation to New Goals / 11.3.5.4：
Discussions / 11.3.5.5：
Collective Box-Pushing by Exerting External Contact Forces and Torques / 11.4：
Interaction between Three Group Robots and a Box / 11.4.1：
Case 1: Pushing a Cylindrical Box / 11.4.2：
Pushing Position and Direction / 11.4.2.1：
Pushing Force and Torque / 11.4.2.2：
Case 2: Pushing a Cubic Box / 11.4.3：
The Coordinate System / 11.4.3.1：
Adaptation to Dynamically Changing Goals / 11.4.3.2：
Convergence Analysis for the Fittest-Preserved Evolution / 11.4.6.5：
The Transition Matrix of a Markov Chain / 11.5.1：
Characterizing the Transition Matrix Using Eigenvalues / 11.5.2：
Case Studies in Self-Organization / 11.6：
Multi-Agent Self-Organization / 12：
Artificial Potential Field (APF) / 12.1：
Motion Planning Based on Artificial Potential Field / 12.1.1：
Collective Potential Field Map Building / 12.1.2：
Overview of Self-Organization / 12.2：
Self-Organization of a Potential Field Map / 12.3：
Coordinate Systems for a Robot / 12.3.1：
Proximity Measurements / 12.3.2：
Distance Association in a Neighboring Region / 12.3.3：
Incremental Self-Organization of a Potential Field Map / 12.3.4：
Robot Motion Selection / 12.3.5：
Directional1 / 12.3.5.1：
Directional2 / 12.3.5.2：
Random / 12.3.5.3：
Experiment 1 / 12.4：
Experiment 2 / 12.4.1：
Evolutionary Multi-Agent Self-Organization / 12.5.1：
Evolution of Cooperative Motion Strategies / 13.1：
Representation of a Proximity Stimulus / 13.1.1：
Stimulus-Response Pairs / 13.1.2：
Experiments / 13.1.3：
Comparison with a Non-Evolutionary Mode / 13.2.1：
Evolution of Group Behaviors / 13.2.3：
Cooperation among Robots / 13.3.2：
An Exploration Tool / 13.4：
Toolboxes for Multi-Agent Robotics / 14：
Toolbox for Multi-Agent Reinforcement Learning / 14.1：
Architecture / 14.2.1：
File Structure / 14.2.2：
Function Description / 14.2.3：
User Configuration / 14.2.4：
Data Structure / 14.2.5：
Toolbox for Evolutionary Multi-Agent Reinforcement Learning / 14.3：
Toolboxes for Evolutionary Collective Behavior Implementation / 14.3.1：
Toolbox for Collective Box-Pushing by Artificial Repulsive Forces / 14.4.1：
Toolbox for Implementing Cylindrical/Cubic Box-Pushing Tasks / 14.4.1.1：
Toolbox for Multi-Agent Self-Organization / 14.4.2.1：
Toolbox for Evolutionary Multi-Agent Self-Organization / 14.5.1：
Example / 14.6.1：
True Map Calculation / 14.7.1：
Initialization / 14.7.2：
Start-Up / 14.7.3：
Result Display / 14.7.4：
References
Index
Motivation, Approaches, and Outstanding Issues / I：
Why Multiple Robots? / 1：
Advantages / 1.1：
36.
図書
Guo-Qiang Lin, Yue-Ming Li, Albert Chan
出版情報:
New York : John Wiley, c2001 xvii, 515 p. ; 24 cm
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Preface
Abbreviations
Introduction / 1：
The Significance of Chirality and Stereoisomeric Discrimination / 1.1：
Asymmetry / 1.2：
Conditions for Asymmetry / 1.2.1：
Nomenclature / 1.2.2：
Determining Enantiomer Composition / 1.3：
Measuring Specific Rotation / 1.3.1：
The Nuclear Magnetic Resonance Method / 1.3.2：
Some Other Reagents for Nuclear Magnetic Resonance Analysis / 1.3.3：
Determining the Enantiomer Composition of Chiral Glycols or Cyclic Ketones / 1.3.4：
Chromatographic Methods Using Chiral Columns / 1.3.5：
Capillary Electrophoresis with Enantioselective Supporting Electrolytes / 1.3.6：
Determining Absolute Configuration / 1.4：
X-Ray Diffraction Methods / 1.4.1：
Chiroptical Methods / 1.4.2：
The Chemical Interrelation Method / 1.4.3：
Prelog's Method / 1.4.4：
Horeau's Method / 1.4.5：
Nuclear Magnetic Resonance Method for Relative Configuration Determination / 1.4.6：
General Strategies for Asymmetric Synthesis / 1.5：
"Chiron" Approaches / 1.5.1：
Acyclic Diastereoselective Approaches / 1.5.2：
Double Asymmetric Synthesis / 1.5.3：
Examples of Some Complicated Compounds / 1.6：
Some Common Definitions in Asymmetric Synthesis and Stereochemistry / 1.7：
References / 1.8：
[alpha]-Alkylation and Catalytic Alkylation of Carbonyl Compounds / 2：
Chirality Transfer / 2.1：
Intra-annular Chirality Transfer / 2.2.1：
Extra-annular Chirality Transfer / 2.2.2：
Chelation-Enforced Intra-annular Chirality Transfer / 2.2.3：
Preparation of Quaternary Carbon Centers / 2.3：
Preparation of [alpha]-Amino Acids / 2.4：
Nucleophilic Substitution of Chiral Acetal / 2.5：
Chiral Catalyst-Induced Aldehyde Alkylation: Asymmetric Nucleophilic Addition / 2.6：
Catalytic Asymmetric Additions of Dialkylzinc to Ketones: Enantioselective Formation of Tertiary Alcohols / 2.7：
Asymmetric Cyanohydrination / 2.8：
Asymmetric [alpha]-Hydroxyphosphonylation / 2.9：
Summary / 2.10：
Aldol and Related Reactions / 2.11：
Substrate-Controlled Aldol Reaction / 3.1：
Oxazolidones as Chiral Auxiliaries: Chiral Auxiliary-Mediated Aldol-Type Reactions / 3.2.1：
Pyrrolidines as Chiral Auxiliaries / 3.2.2：
Aminoalcohols as the Chiral Auxiliaries / 3.2.3：
Acylsultam Systems as the Chiral Auxiliaries / 3.2.4：
[alpha]-Silyl Ketones / 3.2.5：
Reagent-Controlled Aldol Reactions / 3.3：
Aldol Condensations Induced by Chiral Boron Compounds / 3.3.1：
Aldol Reactions Controlled by Corey's Reagents / 3.3.2：
Aldol Condensations Controlled by Miscellaneous Reagents / 3.3.3：
Chiral Catalyst-Controlled Asymmetric Aldol Reaction / 3.4：
Mukaiyama's System / 3.4.1：
Asymmetric Aldol Reactions with a Chiral Ferrocenylphosphine-Gold(I) Complex / 3.4.2：
Asymmetric Aldol Reactions Catalyzed by Chiral Lewis Acids / 3.4.3：
Catalytic Asymmetric Aldol Reaction Promoted by Bimetallic Catalysts: Shibasaki's System / 3.4.4：
Double Asymmetric Aldol Reactions / 3.5：
Asymmetric Allylation Reactions / 3.6：
The Roush Reaction / 3.6.1：
The Corey Reaction / 3.6.2：
Other Catalytic Asymmetric Allylation Reactions / 3.6.3：
Asymmetric Allylation and Alkylation of Imines / 3.7：
Other Types of Addition Reactions: Henry Reaction / 3.8：
Asymmetric Oxidations / 3.9：
Asymmetric Epoxidation of Allylic Alcohols: Sharpless Epoxidation / 4.1：
The Characteristics of Sharpless Epoxidation / 4.1.1：
Mechanism / 4.1.2：
Modifications and Improvements of Sharpless Epoxidation / 4.1.3：
Selective Opening of 2,3-Epoxy Alcohols / 4.2：
External Nucleophilic Opening of 2,3-Epoxy Alcohols / 4.2.1：
Opening by Intramolecular Nucleophiles / 4.2.2：
Opening by Metallic Hydride Reagents / 4.2.3：
Opening by Organometallic Compounds / 4.2.4：
Payne Rearrangement and Ring-Opening Processes / 4.2.5：
Asymmetric Desymmetrization of meso-Epoxides / 4.2.6：
Asymmetric Epoxidation of Symmetric Divinyl Carbinols / 4.3：
Enantioselective Dihydroxylation of Olefins / 4.4：
Asymmetric Aminohydroxylation / 4.5：
Epoxidation of Unfunctionalized Olefins / 4.6：
Catalytic Enantioselective Epoxidation of Simple Olefins by Salen Complexes / 4.6.1：
Catalytic Enantioselective Epoxidation of Simple Olefins by Porphyrin Complexes / 4.6.2：
Chiral Ketone-Catalyzed Asymmetric Oxidation of Unfunctionalized Olefins / 4.6.3：
Catalytic Asymmetric Epoxidation of Aldehydes / 4.7：
Asymmetric Oxidation of Enolates for the Preparation of Optically Active [alpha]-Hydroxyl Carbonyl Compounds / 4.8：
Substrate-Controlled Reactions / 4.8.1：
Reagent-Controlled Reactions / 4.8.2：
Asymmetric Aziridination and Related Reactions / 4.9：
Asymmetric Aziridination / 4.9.1：
Regioselective Ring Opening of Aziridines / 4.9.2：
Asymmetric Diels-Alder and Other Cyclization Reactions / 4.10：
Chiral Dienophiles / 5.1：
Acrylate / 5.1.1：
[alpha], [beta]-Unsaturated Ketone / 5.1.2：
Chiral [alpha], [beta]-Unsubstituted N-Acyloxazolidinones / 5.1.3：
Chiral Alkoxy Iminium Salt / 5.1.4：
Chiral Sulfinyl-Substituted Compounds as Dienophiles / 5.1.5：
Chiral Dienes / 5.2：
Double Asymmetric Cycloaddition / 5.3：
Chiral Lewis Acid Catalysts / 5.4：
Narasaka's Catalyst / 5.4.1：
Chiral Lanthanide Catalyst / 5.4.2：
Bissulfonamides (Corey's Catalyst) / 5.4.3：
Chiral Acyloxy Borane Catalysts / 5.4.4：
Bronsted Acid-Assisted Chiral Lewis Acid Catalysts / 5.4.5：
Bis(Oxazoline) Catalysts / 5.4.6：
Amino Acid Salts as Lewis Acids for Asymmetric Diels-Alder Reactions / 5.4.7：
Hetero Diels-Alder Reactions / 5.5：
Oxo Diels-Alder Reactions / 5.5.1：
Aza Diels-Alder Reactions / 5.5.2：
Formation of Quaternary Stereocenters Through Diels-Alder Reactions / 5.6：
Intramolecular Diels-Alder Reactions / 5.7：
Retro Diels-Alder Reactions / 5.8：
Asymmetric Dipolar Cycloaddition / 5.9：
Asymmetric Cyclopropanation / 5.10：
Transition Metal Complex-Catalyzed Cyclopropanations / 5.10.1：
The Catalytic Asymmetric Simmons-Smith Reaction / 5.10.2：
Asymmetric Catalytic Hydrogenation and Other Reduction Reactions / 5.11：
Chiral Phosphine Ligands for Homogeneous Asymmetric Catalytic Hydrogenation / 6.1：
Asymmetric Catalytic Hydrogenation of C=C Bonds / 6.1.2：
Asymmetric Reduction of Carbonyl Compounds / 6.2：
Reduction by BINAL-H / 6.2.1：
Transition Metal-Complex Catalyzed Hydrogenation of Carbonyl Compounds / 6.2.2：
The Oxazaborolidine Catalyst System / 6.2.3：
Asymmetric Reduction of Imines / 6.3：
Asymmetric Transfer Hydrogenation / 6.4：
Asymmetric Hydroformylation / 6.5：
Applications of Asymmetric Reactions in the Synthesis of Natural Products / 6.6：
The Synthesis of Erythronolide A / 7.1：
The Synthesis of 6-Deoxyerythronolide / 7.2：
The Synthesis of Rifamycin S / 7.3：
Kishi's Synthesis in 1980 / 7.3.1：
Kishi's Synthesis in 1981 / 7.3.2：
Masamune's Synthesis / 7.3.3：
The Synthesis of Prostaglandins / 7.4：
Three-Component Coupling / 7.4.1：
Synthesis of the [omega]-Side Chain / 7.4.2：
The Enantioselective Synthesis of (R)-4-Hydroxy-2-Cyclopentenone / 7.4.3：
The Total Synthesis of Taxol--A Challenge and Opportunity for Chemists Working in the Area of Asymmetric Synthesis / 7.5：
Synthesis of Baccatin III, the Polycyclic Part of Taxol / 7.5.1：
Asymmetric Synthesis of the Taxol Side Chain / 7.5.2：
Enzymatic Reactions and Miscellaneous Asymmetric Syntheses / 7.6：
Enzymatic and Related Processes / 8.1：
Lipase/Esterase-Catalyzed Reactions / 8.1.1：
Reductions / 8.1.2：
Enantioselective Microbial Oxidation / 8.1.3：
Formation of C-C Bond / 8.1.4：
Biocatalysts from Cultured Plant Cells / 8.1.5：
Miscellaneous Methods / 8.2：
Asymmetric Synthesis Catalyzed by Chiral Ferrocenylphosphine Complex / 8.2.1：
Asymmetric Hydrosilylation of Olefins / 8.2.2：
Synthesis of Chiral Biaryls / 8.2.3：
The Asymmetric Kharasch Reaction / 8.2.4：
Optically Active Lactones from Metal-Catalyzed Baeyer-Villiger-Type Oxidations Using Molecular Oxygen as the Oxidant / 8.2.5：
Recent Progress in Asymmetric Wittig-Type Reactions / 8.2.6：
Asymmetric Reformatsky Reactions / 8.2.7：
Catalytic Asymmetric Wacker Cyclization / 8.2.8：
Palladium-Catalyzed Asymmetric Alkenylation of Cyclic Olefins / 8.2.9：
Intramolecular Enyne Cyclization / 8.2.10：
Asymmetric Darzens Reaction / 8.2.11：
Asymmetric Conjugate Addition / 8.2.12：
Asymmetric Synthesis of Fluorinated Compounds / 8.2.13：
New Concepts in Asymmetric Reaction / 8.3：
Ti Catalysts from Self-Assembly Components / 8.3.1：
Desymmetrization / 8.3.2：
Cooperative Asymmetric Catalysis / 8.3.3：
Stereochemical Nonlinear Effects in Asymmetric Reaction / 8.3.4：
Chiral Poisoning / 8.3.5：
Enantioselective Activation and Induced Chirality / 8.3.6：
Chiral Amplification, Chiral Autocatalysis, and the Origin of Natural Chirality / 8.4：
Index / 8.5：
Preface
Abbreviations
Introduction / 1：
37.
図書
Rob Phillips
出版情報:
Cambridge, UK ; New York : Cambridge University Press, 2001 xxvi, 780 p. ; 25 cm
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Preface
Acknowledgements
Notes on Units, Scales and Conventions
Thinking About the Material World / Part 1：
Idealizing Material Response / 1：
A Material World / 1.1：
Materials: A Databook Perspective / 1.1.1：
The Structure-Properties Paradigm / 1.1.2：
Controlling Structure: The World of Heat and Beat / 1.1.3：
Modeling of Materials / 1.2：
The Case for Modeling / 1.2.1：
Modeling Defined: Contrasting Perspectives / 1.2.2：
Case Studies in Modeling / 1.2.3：
Modeling and the Computer: Numerical Analysis vs Simulation / 1.2.4：
Further Reading / 1.3：
Continuum Mechanics Revisited / 2：
Continuum Mechanics as an Effective Theory / 2.1：
Kinematics: The Geometry of Deformation / 2.2：
Deformation Mappings and Strain / 2.2.1：
Geometry of Rigid Deformation / 2.2.2：
Geometry of Slip and Twinning / 2.2.3：
Geometry of Structural Transformations / 2.2.4：
Forces and Balance Laws / 2.3：
Forces Within Continua: Stress Tensors / 2.3.1：
Equations of Continuum Dynamics / 2.3.2：
Configurational Forces and the Dynamics of Defects / 2.3.3：
Continuum Descriptions of Deformation and Failure / 2.4：
Constitutive Modeling / 2.4.1：
Linear Elastic Response of Materials / 2.4.2：
Plastic Response of Crystals and Polycrystals / 2.4.3：
Continuum Picture of Fracture / 2.4.4：
Boundary Value Problems and Modeling / 2.5：
Principle of Minimum Potential Energy and Reciprocal Theorem / 2.5.1：
Elastic Green Function / 2.5.2：
Method of Eigenstrains / 2.5.3：
Numerical Solutions: Finite Element Method / 2.5.4：
Difficulties with the Continuum Approach / 2.6：
Problems / 2.7：
Quantum and Statistical Mechanics Revisited / 3：
Background / 3.1：
Quantum Mechanics / 3.2：
Background and Formalism / 3.2.1：
Catalog of Important Solutions / 3.2.2：
Finite Elements and Schrodinger / 3.2.3：
Quantum Corrals: A Finite Element Analysis / 3.2.4：
Metals and the Electron Gas / 3.2.5：
Quantum Mechanics of Bonding / 3.2.6：
Statistical Mechanics / 3.3：
Entropy of Mixing / 3.3.1：
The Canonical Distribution / 3.3.3：
Information Theoretic Approach to Statistical Mechanics / 3.3.4：
Statistical Mechanics Models for Materials / 3.3.5：
Bounds and Inequalities: The Bogoliubov Inequality / 3.3.6：
Correlation Functions: The Kinematics of Order / 3.3.7：
Computational Statistical Mechanics / 3.3.8：
Energetics of Crystalline Solids / 3.4：
Energetic Description of Cohesion in Solids / 4：
The Role of the Total Energy in Modeling Materials / 4.1：
Conceptual Backdrop for Characterizing the Total Energy / 4.2：
Atomistic and Continuum Descriptions Contrasted / 4.2.1：
The Many-Particle Hamiltonian and Degree of Freedom Reduction / 4.2.2：
Pair Potentials / 4.3：
Generic Pair Potentials / 4.3.1：
Free Electron Pair Potentials / 4.3.2：
Potentials with Environmental and Angular Dependence / 4.4：
Diagnostics for Evaluating Potentials / 4.4.1：
Pair Functionals / 4.4.2：
Angular Forces: A First Look / 4.4.3：
Tight-Binding Calculations of the Total Energy / 4.5：
The Tight-Binding Method / 4.5.1：
An Aside on Periodic Solids: k-space Methods / 4.5.2：
Real Space Tight-Binding Methods / 4.5.3：
First-Principles Calculations of the Total Energy / 4.6：
Managing the Many-Particle Hamiltonian / 4.6.1：
Total Energies in the Local Density Approximation / 4.6.2：
Choosing a Description of the Total Energy: Challenges and Conundrums / 4.7：
Thermal and Elastic Properties of Crystals / 4.8：
Thermal and Elastic Material Response / 5.1：
Mechanics of the Harmonic Solid / 5.2：
Total Energy of the Thermally Fluctuating Solid / 5.2.1：
Atomic Motion and Normal Modes / 5.2.2：
Phonons / 5.2.3：
Buckminsterfullerene and Nanotubes: A Case Study in Vibration / 5.2.4：
Thermodynamics of Solids / 5.3：
Harmonic Approximation / 5.3.1：
Beyond the Harmonic Approximation / 5.3.2：
Modeling the Elastic Properties of Materials / 5.4：
Linear Elastic Moduli / 5.4.1：
Nonlinear Elastic Material Response: Cauchy-Born Elasticity / 5.4.2：
Structural Energies and Phase Diagrams / 5.5：
Structures in Solids / 6.1：
Atomic-Level Geometry in Materials / 6.2：
Structural energies of solids / 6.3：
Pair Potentials and Structural Stability / 6.3.1：
Structural Stability in Transition Metals / 6.3.2：
Structural Stability Reconsidered: The Case of Elemental Si / 6.3.3：
Elemental Phase Diagrams / 6.4：
Free Energy of the Crystalline Solid / 6.4.1：
Free Energy of the Liquid / 6.4.2：
Putting It All Together / 6.4.3：
An Einstein Model for Structural Change / 6.4.4：
A Case Study in Elemental Mg / 6.4.5：
Alloy Phase Diagrams / 6.5：
Constructing the Effective Energy: Cluster Expansions / 6.5.1：
Statistical Mechanics for the Effective Hamiltonian / 6.5.2：
The Effective Hamiltonian Revisited: Relaxations and Vibrations / 6.5.3：
The Alloy Free Energy / 6.5.4：
Case Study: Oxygen Ordering in High T[subscript C] Superconductors / 6.5.5：
Summary / 6.6：
Geometric Structures in Solids: Defects and Microstructures / 6.7：
Point Defects in Solids / 7：
Point Defects and Material Response / 7.1：
Material Properties Related to Point Disorder / 7.1.1：
Diffusion / 7.2：
Effective Theories of Diffusion / 7.2.1：
Geometries and Energies of Point Defects / 7.3：
Crystallographic Preliminaries / 7.3.1：
A Continuum Perspective on Point Defects / 7.3.2：
Microscopic Theories of Point Defects / 7.3.3：
Point Defects in Si: A Case Study / 7.3.4：
Point Defect Motions / 7.4：
Material Parameters for Mass Transport / 7.4.1：
Diffusion via Transition State Theory / 7.4.2：
Diffusion via Molecular Dynamics / 7.4.3：
A Case Study in Diffusion: Interstitials in Si / 7.4.4：
Defect Clustering / 7.5：
Line Defects in Solids / 7.6：
Permanent Deformation of Materials / 8.1：
Yield and Hardening / 8.1.1：
Structural Consequences of Plastic Deformation / 8.1.2：
Single Crystal Slip and the Schmid Law / 8.1.3：
The Ideal Strength Concept and the Need for Dislocations / 8.2：
Geometry of Slip / 8.3：
Topological Signature of Dislocations / 8.3.1：
Crystallography of Slip / 8.3.2：
Elastic Models of Single Dislocations / 8.4：
The Screw Dislocation / 8.4.1：
The Volterra Formula / 8.4.2：
The Edge Dislocation / 8.4.3：
Mixed Dislocations / 8.4.4：
Interaction Energies and Forces / 8.5：
The Peach-Koehler Formula / 8.5.1：
Interactions and Images: Peach-Koehler Applied / 8.5.2：
The Line Tension Approximation / 8.5.3：
Modeling the Dislocation Core: Beyond Linearity / 8.6：
Dislocation Dissociation / 8.6.1：
The Peierls-Nabarro Model / 8.6.2：
Structural Details of the Dislocation Core / 8.6.3：
Three-Dimensional Dislocation Configurations / 8.7：
Dislocation Bow-Out / 8.7.1：
Kinks and Jogs / 8.7.2：
Cross Slip / 8.7.3：
Dislocation Sources / 8.7.4：
Dislocation Junctions / 8.7.5：
Wall Defects in Solids / 8.8：
Interfaces in Materials / 9.1：
Interfacial Confinement / 9.1.1：
Free Surfaces / 9.2：
Crystallography and Energetics of Ideal Surfaces / 9.2.1：
Reconstruction at Surfaces / 9.2.2：
Steps on Surfaces / 9.2.3：
Stacking Faults and Twins / 9.3：
Structure and Energetics of Stacking Faults / 9.3.1：
Planar Faults and Phase Diagrams / 9.3.2：
Grain Boundaries / 9.4：
Bicrystal Geometry / 9.4.1：
Grain Boundaries in Polycrystals / 9.4.2：
Energetic Description of Grain Boundaries / 9.4.3：
Triple Junctions of Grain Boundaries / 9.4.4：
Diffuse Interfaces / 9.5：
Modeling Interfaces: A Retrospective / 9.6：
Microstructure and its Evolution / 9.7：
Microstructures in Materials / 10.1：
Microstructural Taxonomy / 10.1.1：
Microstructural Change / 10.1.2：
Models of Microstructure and its Evolution / 10.1.3：
Inclusions as Microstructure / 10.2：
Eshelby and the Elastic Inclusion / 10.2.1：
The Question of Equilibrium Shapes / 10.2.2：
Precipitate Morphologies and Interfacial Energy / 10.2.3：
Equilibrium Shapes: Elastic and Interfacial Energy / 10.2.4：
A Case Study in Inclusions: Precipitate Nucleation / 10.2.5：
Temporal Evolution of Two-Phase Microstructures / 10.2.6：
Microstructure in Martensites / 10.3：
The Experimental Situation / 10.3.1：
Geometrical and Energetic Preliminaries / 10.3.2：
Twinning and Compatibility / 10.3.3：
Fine-Phase Microstructures and Attainment / 10.3.4：
The Austenite-Martensite Free Energy Reconsidered / 10.3.5：
Microstructural Evolution in Polycrystals / 10.4：
Phenomenology of Grain Growth / 10.4.1：
Modeling Grain Growth / 10.4.2：
Microstructure and Materials / 10.5：
Facing the Multiscale Challenge of Real Material Behavior / 10.6：
Points, Lines and Walls: Defect Interactions and Material Response / 11：
Defect Interactions and the Complexity of Real Material Behavior / 11.1：
Diffusion at Extended Defects / 11.2：
Background on Short-Circuit Diffusion / 11.2.1：
Diffusion at Surfaces / 11.2.2：
Mass Transport Assisted Deformation / 11.3：
Phenomenology of Creep / 11.3.1：
Nabarro-Herring and Coble Creep / 11.3.2：
Dislocations and Interfaces / 11.4：
Dislocation Models of Grain Boundaries / 11.4.1：
Dislocation Pile-Ups and Slip Transmission / 11.4.2：
Cracks and Dislocations / 11.5：
Variation on a Theme of Irwin / 11.5.1：
Dislocation Screening at a Crack Tip / 11.5.2：
Dislocation Nucleation at a Crack Tip / 11.5.3：
Dislocations and Obstacles: Strengthening / 11.6：
Conceptual Overview of the Motion of Dislocations Through a Field of Obstacles / 11.6.1：
The Force Between Dislocations and Glide Obstacles / 11.6.2：
The Question of Statistical Superposition / 11.6.3：
Solution Hardening / 11.6.4：
Precipitate Hardening / 11.6.5：
Dislocation-Dislocation Interactions and Work Hardening / 11.6.6：
Bridging Scales: Effective Theory Construction / 11.7：
Problems Involving Multiple Length and Time Scales / 12.1：
Problems with Multiple Temporal Scales: The Example of Diffusion / 12.1.1：
Problems with Multiple Spatial Scales: The Example of Plasticity / 12.1.2：
Generalities on Modeling Problems Involving Multiple Scales / 12.1.3：
Historic Examples of Multiscale Modeling / 12.2：
Effective Theory Construction / 12.3：
Degree of Freedom Selection: State Variables, Order Parameters and Configurational Coordinates / 12.3.1：
Dynamical Evolution of Relevant Variables: Gradient Flow Dynamics and Variational Principles / 12.3.2：
Inhomogeneous Systems and the Role of Locality / 12.3.3：
Models with Internal Structure / 12.3.4：
Effective Hamiltonians / 12.3.5：
Bridging Scales in Microstructural Evolution / 12.4：
Hierarchical Treatment of Diffusive Processes / 12.4.1：
From Surface Diffusion to Film Growth / 12.4.2：
Solidification Microstructures / 12.4.3：
Two-Phase Microstructures Revisited / 12.4.4：
A Retrospective on Modeling Microstructural Evolution / 12.4.5：
Bridging Scales in Plasticity / 12.5：
Mesoscopic Dislocation Dynamics / 12.5.1：
A Case Study in Dislocations and Plasticity: Nanoindentation / 12.5.2：
A Retrospective on Modeling Plasticity Using Dislocation Dynamics / 12.5.3：
Bridging Scales in Fracture / 12.6：
Atomic-Level Bond Breaking / 12.6.1：
Cohesive Surface Models / 12.6.2：
Cohesive Surface Description of Crack Tip Dislocation Nucleation / 12.6.3：
Universality and Specificity in Materials / 12.7：
Materials Observed / 13.1：
What is a Material: Another Look / 13.1.1：
Structural Observations / 13.1.2：
Concluding Observations on the Observations / 13.1.3：
How Far Have We Come? / 13.2：
Universality in Materials / 13.2.1：
Specificity in Materials / 13.2.2：
The Program Criticized / 13.2.3：
Intriguing Open Questions / 13.3：
In Which the Author Takes His Leave / 13.4：
References
Index
Preface
Acknowledgements
Notes on Units, Scales and Conventions
38.
図書
Jürgen Lind
目次情報:
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Foreword
List of Figures
List of Process Models
Introduction / 1：
Agents, Multiagent Systems and Software Engineering / 2：
Intelligent Agents / 2.1：
What's an Agent, anyway? / 2.1.1：
Roles / 2.1.2：
Architectures / 2.1.3：
Agents, Roles and Architectures / 2.1.4：
Systems of Agents / 2.2：
Interaction / 2.2.1：
The Social Dimension / 2.2.2：
Related Fields in Computer Science / 2.3：
Agent-Oriented Software Engineering / 2.4：
Aspects of Programming Paradigms / 2.4.1：
A Historic Perspective / 2.4.2：
The Bottom Line / 2.4.3：
Where Next? / 2.4.4：
Summary / 2.5：
Basic Concepts in Software Engineering / 3：
Cognitive Aspects of Software Engineering / 3.1：
Basic Human Information Processing / 3.1.1：
Software Engineering as a General Design Task / 3.1.2：
Designs and Models / 3.1.3：
A General Model of Engineering / 3.1.4：
The Basic Engineering Cycle / 3.1.5：
Basic Skills in Software Engineering / 3.1.6：
Requirements for Software Engineering Support / 3.2：
AGeneral Model of Software Engineering / 3.3：
Software Engineering Product Models / 3.4：
AGeneric Product Model / 3.4.1：
Software Blueprints: The Unified Modeling Language / 3.4.2：
Software Engineering Process Models / 3.5：
Classical Process Models / 3.5.1：
Novel Trends in Software Engineering / 3.5.2：
Development Methods for Multiagent Systems / 3.5.3：
Discussion / 3.5.4：
Quality Management and Systematic Learning / 3.6：
The Quality Improvement Paradigm / 3.6.1：
Experience Factory / 3.6.2：
The Conceptual Framework of Massive / 3.7：
The Foundations of Massive / 4.1：
Knowbbles / 4.2：
Views / 4.3：
What and Why? / 4.3.1：
View-Oriented Analysis / 4.3.2：
A View System for Multiagent Systems / 4.3.3：
Iterative View Engineering / 4.4：
Putting It All Together / 4.5：
Massive Views / 4.6：
A Brief Introduction to Train Coupling- and Sharing (TCS) / 5.1：
Environment View / 5.2：
Developers Perspective / 5.2.1：
Systems Perspective / 5.2.2：
Task View / 5.3：
Use Case Analysis / 5.3.1：
Functional Requirements / 5.3.2：
Non functional Requirements / 5.3.3：
Role View / 5.4：
Role Definition / 5.4.1：
Role Assignment / 5.4.2：
Interaction View / 5.5：
Intent Layer / 5.5.1：
Protocol Layer / 5.5.2：
Transport Layer / 5.5.3：
Society View / 5.6：
Characterization of Social Systems / 5.6.1：
Designing Social Systems / 5.6.2：
Architecture View / 5.7：
System Architecture / 5.7.1：
The Architectural Feature Space / 5.7.2：
Agent Architecture / 5.7.3：
System View / 5.8：
User Interface Design / 5.8.1：
Exception Handling / 5.8.2：
Performance Engineering / 5.8.3：
Deployment / 5.8.4：
Further Case Studies / 5.9：
The Teamwork Library / 6.1：
ArchitectureView / 6.1.1：
Personal Travel Assistant: Intermodal Route Planning / 6.1.7：
EnvironmentView / 6.2.1：
Conclusion / 6.2.2：
Toolkits for Agent-Based Applications / A：
SIF / A.1：
ZEUS / A.2：
Swarm / A.3：
Basic Problem Solving Capabilities of TCS Agents / A.4：
Planing Algorithm for a Single Task / B.1：
Plan Integration Operator / B.2：
Decision Functions / B.3：
Plan Execution Simulation / B.4：
Protoz Specification of the Contract-Net Protocol / C：
Bibliography
Glossary
Index
Foreword
List of Figures
List of Process Models
39.
図書
Michael Jaedicke
目次情報:
続きを見る
Introduction / Chapter 1：
ORDBMS: The Next Great Wave / 1.1：
Extensible DBMS / 1.2：
Overview / 1.3：
Background on User-Defined Routines / Chapter 2：
User-Defined Routines / 2.1：
Definition, Implementation, and Execution of New UDR / 2.2：
User-Defined Scalar Functions / 2.2.1：
User-Defined Aggregate Functions / 2.2.2：
User-Defined Table Functions / 2.2.3：
User-Defined Functions and Large Objects / 2.2.4：
Comparison with Stored Procedures / 2.3：
Optimization of Queries with UDF / 2.4：
Parallel Processing of User-Defined Functions / Chapter 3：
Limits of Current ORDBMS / 3.1：
Parallel Processing of UDF / 3.3：
Two Step Parallel Aggregation of UDAF / 3.3.1：
Partitioning Classes and Partitionable Functions / 3.3.2：
Parallel Sorting as a Preprocessing Step for UDAF / 3.3.3：
Extended Syntax for Function Registration / 3.3.4：
Example Applications / 3.4：
The UDAF Most_Frequent / 3.4.1：
The UDSF Running_Average / 3.4.2：
The UDAF Median / 3.4.3：
Further Applications / 3.4.4：
Plausibility Considerations Regarding Performance / 3.5：
Related Work / 3.6：
Summary / 3.7：
Intra-function Parallelism / Chapter 4：
Compose/Decompose Operators for Intra-function Parallelism / 4.1：
Compose/Decompose Operators / 4.2.1：
Extensibility of Compose Operators by Combine Functions / 4.2.2：
Application of Intra-function Parallelism / 4.2.3：
Intra-function Parallelism for Function Pipelines / 4.2.4：
Experimental Performance Study / 4.3：
Experimental Scenario and Implementation / 4.3.1：
Performance Results / 4.3.2：
The Multi-operator Method / 4.4：
Performance Problems with Complex UDF in Current ORDBMS / 5.1：
The PBSM Algorithm as a Sophisticated UDP Implementation / 5.2.1：
The Multi-operator Method as a New Technique to Implement Complex UDF / 5.3：
The Multi-operator Method and Its Benefits / 5.3.1：
A Multi-operator Implementation of the PBSM Algorithm / 5.3.2：
Supporting the Multi-operator Method / 5.4：
Executing Query Execution Plans / 5.4.1：
Example for a Textual Specification of Query Execution Plans / 5.4.2：
Parallel Evaluation / 5.4.3：
Performance Evaluation / 5.5：
Experimental Scenario / 5.5.1：
User-Defined Table Operators / 5.5.2：
A Generalization Relationship for Row Types / 6.1：
Defining and Implementing UDTO / 6.2.2：
The Different Usages of the UDTO Concept / 6.2.3：
Parallel Processing of Procedural UDTO / 6.2.4：
Extension to Multiple Output Tables / 6.2.5：
Example Applications for UDTO / 6.3：
Computing a Spatial Join / 6.3.1：
Different UDTO for the Same Predicate / 6.3.2：
Computing the Median: An Aggregation Operator / 6.3.3：
A UDTO for a Complex Aggregation / 6.3.4：
Association Rule Mining / 6.3.5：
Summary and Conclusions / 6.4：
Implementation of UDTO / Chapter 7：
The MIDAS Prototype / 7.1：
Architectural Overview / 7.2.1：
Query Compilation and Execution / 7.2.2：
The MIDAS System Tables / 7.2.3：
UDSF in MIDAS / 7.2.4：
Implementation of SQL Macros / 7.3：
DDL Statements / 7.3.1：
SQL Macro Expansion in DML Statements / 7.3.2：
Expanding SQL Macros in Preprocessors and Middleware / 7.3.3：
Implementation of Procedural UDTO / 7.4：
Extensions to the SQL Compiler / 7.4.1：
Extensions to the Optimizer and the Parallelizer / 7.4.2：
Extensions to the Scheduler / 7.4.3：
Extensions to the Execution Engine / 7.4.4：
Extensions to Transaction Management / 7.4.5：
Implementation of Input and Output Tables / 7.4.6：
Optimization Issues for UDTO / 7.5：
UDTO and Implied Predicates / 7.5.1：
Estimating Costs and Selectivity of UDTO / 7.5.2：
Application of Traditional Optimization Rules / 7.5.3：
Using UDTO to Generate Alternative Execution Plans for UDF / 7.6：
Evaluation of the Implementation / 7.7：
Evaluation of SQL Macros / 7.7.1：
Evaluation of Procedural UDTO / 7.7.2：
Summary, Conclusions, and Future Work / 7.8：
Conclusions / 8.1：
Future Work / 8.3：
References
Appendix A
The Program sequential_invert / A.1：
The Program parallel_invert / A.2：
The Query Execution Plan for the Spatial Join with SQL Macro / A.3：
Introduction / Chapter 1：
ORDBMS: The Next Great Wave / 1.1：
Extensible DBMS / 1.2：
40.
ＥＢ
Jürgen Lind
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2001
子書誌情報:
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Foreword
List of Figures
List of Process Models
Introduction / 1：
Agents, Multiagent Systems and Software Engineering / 2：
Intelligent Agents / 2.1：
What's an Agent, anyway? / 2.1.1：
Roles / 2.1.2：
Architectures / 2.1.3：
Agents, Roles and Architectures / 2.1.4：
Systems of Agents / 2.2：
Interaction / 2.2.1：
The Social Dimension / 2.2.2：
Related Fields in Computer Science / 2.3：
Agent-Oriented Software Engineering / 2.4：
Aspects of Programming Paradigms / 2.4.1：
A Historic Perspective / 2.4.2：
The Bottom Line / 2.4.3：
Where Next? / 2.4.4：
Summary / 2.5：
Basic Concepts in Software Engineering / 3：
Cognitive Aspects of Software Engineering / 3.1：
Basic Human Information Processing / 3.1.1：
Software Engineering as a General Design Task / 3.1.2：
Designs and Models / 3.1.3：
A General Model of Engineering / 3.1.4：
The Basic Engineering Cycle / 3.1.5：
Basic Skills in Software Engineering / 3.1.6：
Requirements for Software Engineering Support / 3.2：
AGeneral Model of Software Engineering / 3.3：
Software Engineering Product Models / 3.4：
AGeneric Product Model / 3.4.1：
Software Blueprints: The Unified Modeling Language / 3.4.2：
Software Engineering Process Models / 3.5：
Classical Process Models / 3.5.1：
Novel Trends in Software Engineering / 3.5.2：
Development Methods for Multiagent Systems / 3.5.3：
Discussion / 3.5.4：
Quality Management and Systematic Learning / 3.6：
The Quality Improvement Paradigm / 3.6.1：
Experience Factory / 3.6.2：
The Conceptual Framework of Massive / 3.7：
The Foundations of Massive / 4.1：
Knowbbles / 4.2：
Views / 4.3：
What and Why? / 4.3.1：
View-Oriented Analysis / 4.3.2：
A View System for Multiagent Systems / 4.3.3：
Iterative View Engineering / 4.4：
Putting It All Together / 4.5：
Massive Views / 4.6：
A Brief Introduction to Train Coupling- and Sharing (TCS) / 5.1：
Environment View / 5.2：
Developers Perspective / 5.2.1：
Systems Perspective / 5.2.2：
Task View / 5.3：
Use Case Analysis / 5.3.1：
Functional Requirements / 5.3.2：
Non functional Requirements / 5.3.3：
Role View / 5.4：
Role Definition / 5.4.1：
Role Assignment / 5.4.2：
Interaction View / 5.5：
Intent Layer / 5.5.1：
Protocol Layer / 5.5.2：
Transport Layer / 5.5.3：
Society View / 5.6：
Characterization of Social Systems / 5.6.1：
Designing Social Systems / 5.6.2：
Architecture View / 5.7：
System Architecture / 5.7.1：
The Architectural Feature Space / 5.7.2：
Agent Architecture / 5.7.3：
System View / 5.8：
User Interface Design / 5.8.1：
Exception Handling / 5.8.2：
Performance Engineering / 5.8.3：
Deployment / 5.8.4：
Further Case Studies / 5.9：
The Teamwork Library / 6.1：
ArchitectureView / 6.1.1：
Personal Travel Assistant: Intermodal Route Planning / 6.1.7：
EnvironmentView / 6.2.1：
Conclusion / 6.2.2：
Toolkits for Agent-Based Applications / A：
SIF / A.1：
ZEUS / A.2：
Swarm / A.3：
Basic Problem Solving Capabilities of TCS Agents / A.4：
Planing Algorithm for a Single Task / B.1：
Plan Integration Operator / B.2：
Decision Functions / B.3：
Plan Execution Simulation / B.4：
Protoz Specification of the Contract-Net Protocol / C：
Bibliography
Glossary
Index
Foreword
List of Figures
List of Process Models
41.
ＥＢ
Michael Jaedicke
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2001
子書誌情報:
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目次情報:
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Introduction / Chapter 1：
ORDBMS: The Next Great Wave / 1.1：
Extensible DBMS / 1.2：
Overview / 1.3：
Background on User-Defined Routines / Chapter 2：
User-Defined Routines / 2.1：
Definition, Implementation, and Execution of New UDR / 2.2：
User-Defined Scalar Functions / 2.2.1：
User-Defined Aggregate Functions / 2.2.2：
User-Defined Table Functions / 2.2.3：
User-Defined Functions and Large Objects / 2.2.4：
Comparison with Stored Procedures / 2.3：
Optimization of Queries with UDF / 2.4：
Parallel Processing of User-Defined Functions / Chapter 3：
Limits of Current ORDBMS / 3.1：
Parallel Processing of UDF / 3.3：
Two Step Parallel Aggregation of UDAF / 3.3.1：
Partitioning Classes and Partitionable Functions / 3.3.2：
Parallel Sorting as a Preprocessing Step for UDAF / 3.3.3：
Extended Syntax for Function Registration / 3.3.4：
Example Applications / 3.4：
The UDAF Most_Frequent / 3.4.1：
The UDSF Running_Average / 3.4.2：
The UDAF Median / 3.4.3：
Further Applications / 3.4.4：
Plausibility Considerations Regarding Performance / 3.5：
Related Work / 3.6：
Summary / 3.7：
Intra-function Parallelism / Chapter 4：
Compose/Decompose Operators for Intra-function Parallelism / 4.1：
Compose/Decompose Operators / 4.2.1：
Extensibility of Compose Operators by Combine Functions / 4.2.2：
Application of Intra-function Parallelism / 4.2.3：
Intra-function Parallelism for Function Pipelines / 4.2.4：
Experimental Performance Study / 4.3：
Experimental Scenario and Implementation / 4.3.1：
Performance Results / 4.3.2：
The Multi-operator Method / 4.4：
Performance Problems with Complex UDF in Current ORDBMS / 5.1：
The PBSM Algorithm as a Sophisticated UDP Implementation / 5.2.1：
The Multi-operator Method as a New Technique to Implement Complex UDF / 5.3：
The Multi-operator Method and Its Benefits / 5.3.1：
A Multi-operator Implementation of the PBSM Algorithm / 5.3.2：
Supporting the Multi-operator Method / 5.4：
Executing Query Execution Plans / 5.4.1：
Example for a Textual Specification of Query Execution Plans / 5.4.2：
Parallel Evaluation / 5.4.3：
Performance Evaluation / 5.5：
Experimental Scenario / 5.5.1：
User-Defined Table Operators / 5.5.2：
A Generalization Relationship for Row Types / 6.1：
Defining and Implementing UDTO / 6.2.2：
The Different Usages of the UDTO Concept / 6.2.3：
Parallel Processing of Procedural UDTO / 6.2.4：
Extension to Multiple Output Tables / 6.2.5：
Example Applications for UDTO / 6.3：
Computing a Spatial Join / 6.3.1：
Different UDTO for the Same Predicate / 6.3.2：
Computing the Median: An Aggregation Operator / 6.3.3：
A UDTO for a Complex Aggregation / 6.3.4：
Association Rule Mining / 6.3.5：
Summary and Conclusions / 6.4：
Implementation of UDTO / Chapter 7：
The MIDAS Prototype / 7.1：
Architectural Overview / 7.2.1：
Query Compilation and Execution / 7.2.2：
The MIDAS System Tables / 7.2.3：
UDSF in MIDAS / 7.2.4：
Implementation of SQL Macros / 7.3：
DDL Statements / 7.3.1：
SQL Macro Expansion in DML Statements / 7.3.2：
Expanding SQL Macros in Preprocessors and Middleware / 7.3.3：
Implementation of Procedural UDTO / 7.4：
Extensions to the SQL Compiler / 7.4.1：
Extensions to the Optimizer and the Parallelizer / 7.4.2：
Extensions to the Scheduler / 7.4.3：
Extensions to the Execution Engine / 7.4.4：
Extensions to Transaction Management / 7.4.5：
Implementation of Input and Output Tables / 7.4.6：
Optimization Issues for UDTO / 7.5：
UDTO and Implied Predicates / 7.5.1：
Estimating Costs and Selectivity of UDTO / 7.5.2：
Application of Traditional Optimization Rules / 7.5.3：
Using UDTO to Generate Alternative Execution Plans for UDF / 7.6：
Evaluation of the Implementation / 7.7：
Evaluation of SQL Macros / 7.7.1：
Evaluation of Procedural UDTO / 7.7.2：
Summary, Conclusions, and Future Work / 7.8：
Conclusions / 8.1：
Future Work / 8.3：
References
Appendix A
The Program sequential_invert / A.1：
The Program parallel_invert / A.2：
The Query Execution Plan for the Spatial Join with SQL Macro / A.3：
Introduction / Chapter 1：
ORDBMS: The Next Great Wave / 1.1：
Extensible DBMS / 1.2：
42.
図書
Jürgen Jost
目次情報:
続きを見る
Preface
Point particles / 1：
Point particles and path integrals / 1.1：
Faddeev-Popov gauge fixing and BRST symmetry / 1.2：
BRST quantization of the point particle / 1.3：
The Bosonic string / 2：
The classical action for strings / 2.1：
Sobolev spaces / 2.2：
Boundary regularity / 2.3：
Spaces of mappings and metrics / 2.4：
The global structure of the spaces of metrics, complex structures, and diffeomorphisms on a surface / 2.5：
Infinitesimal decompositions of metrics / 2.6：
Complex analytic aspects / 2.7：
Teichmuller and moduli spaces of Riemann surfaces / 2.8：
Determinants / 2.9：
The partition function for the Bosonic string / 2.10：
Some physical aspects / 2.11：
Bibliography
Index
Preface
Point particles / 1：
Point particles and path integrals / 1.1：
43.
図書
edited by Zhi Ding, Ye (Geoffrey) Li
目次情報:
続きを見る
Series Introduction
Preface
Introduction / 1：
Blind Equalization: A Popular Research Topic / 1.1：
Motivation For This Book / 1.2：
Blind Equalization and Identification of Communication Channels / 1.3：
Network Collision Resolution of Transmitted Packets / 1.4：
Blind Deconvolution: A Related Application / 1.5：
A Brief History / 1.6：
1975 to Present: Blind Single Channel Equalization / 1.6.1：
1981 to Present: Blind Statistical Channel Identification / 1.6.2：
1991 to Present: Multichannel Identification and Equalization / 1.6.3：
Organization and Contents / 1.7：
Basic Concepts and Approaches / 2：
Channel Equalization in QAM Data Communication Systems / 2.1：
SISO and SIMO Discrete Channel Model / 2.2：
Channel Equalization / 2.3：
T-Spaced Equalizers / 2.3.1：
Fractionally-Spaced Equalizers / 2.3.2：
Nonlinear Equalization / 2.3.3：
The Need for Blind Channel Equalization and Identification / 2.4：
Basic Approaches to Blind Equalization and Identification / 2.5：
Blind SISO Equalization / 2.5.1：
Blind SISO Channel Identification / 2.5.2：
Blind SIMO Channel Identification / 2.5.3：
Blind Multichannel Equalization / 2.5.4：
Single Input Single Output Blind Equalization Algorithms / 3：
SISO Channel Equalization / 3.1：
Channel Equalization in QAM Communication Systems / 3.2.1：
Blind Adaptive Channel Equalizer / 3.2.2：
Basic Facts on Blind Adaptive Equalization / 3.2.3：
Adaptive Blind SISO Equalizers / 3.3：
FIR Linear Equalizers / 3.3.1：
Cost Functions and Associated Adaptive Algorithms / 3.3.2：
The Sato Algorithm and Its Generalizations / 3.4：
The Sato Algorithm / 3.4.1：
BGR Algorithms (an Extension of the Sato Algorithm) / 3.4.2：
Stop-and-Go Algorithms / 3.4.3：
Bussgang Algorithms / 3.4.4：
Constant Modulus Algorithms and Related Schemes / 3.5：
Constant Modulus (Godard) Algorithm / 3.5.1：
Shalvi and Weinstein Algorithms / 3.5.2：
Stochastic Gradient Descent Adaptation / 3.6：
A Blind Equalization Example / 3.7：
Convergence of Blind SISO Adaptive Algorithms / 3.8：
Convergence Requirement of Open Eye Equalizers / 3.8.1：
Some Known Convergence Results / 3.8.2：
Local Convergence of Blind Equalizers / 3.8.3：
Convergence Requirement of Bussgang Algorithms / 3.8.4：
Initialization Issues / 3.8.5：
QAM Algorithms Based on Convex Cost Functions / 3.9：
Background / 3.9.1：
Linearly Constrained Equalizer with Convex Cost / 3.9.2：
Convex Cost Function and Parameter Constraint / 3.9.3：
Global Convergence / 3.9.4：
Remarks and Comments / 3.9.5：
Implementation and Simulation / 3.9.6：
A Fast Linear Programming Algorithm for Convex Cost / 3.10：
Weakness of Batch and Adaptive Implementations / 3.10.1：
Linear Programming Formulations / 3.10.2：
Summary / 3.10.3：
Local Convergence Analysis of SISO Blind Equalizers / 4：
Convergence Equilibria of Blind Equalizers / 4.1：
The Constant Modulus Algorithm and Godard Algorithm / 4.2：
Undesirable Equilibria of Godard Algorithms / 4.2.1：
Stability Condition for the Undesirable Equilibria / 4.2.2：
Consequences of Ill-Convergence / 4.2.3：
Examples of Stable Undesirable Equilibria / 4.2.4：
Effect of Channel Noise and Mismodeling / 4.2.5：
Shalvi-Weinstein and Standard Cumulant Algorithms / 4.3：
Geometric Relationship between SWA and CMA / 4.3.1：
Initial Kurtosis Effect on SWA Finite Equalizer convergence / 4.3.2：
SWA Minimum Location and An Initialization Strategy / 4.3.3：
Extension of Results to QAM Communication Systems / 4.3.4：
Convergence Analysis of Equalizers Driven by SCA / 4.3.5：
Decision-Direct and Stop-and-Go Algorithms / 4.4：
Decision-Directed Equalizer / 4.5.1：
Computer Simulation Example / 4.5.3：
Non-Equivalence of Two Parameter Spaces / 4.6：
Nullspace Analysis for Causal Parameterizations / 4.6.1：
Nullspace Analysis for Doubly Infinite Parameterizations / 4.6.2：
Comments / 4.6.3：
Example / 4.6.4：
Length-Dependent and Cost-Dependent Local Minima / 4.7：
Length-Dependent Local Minima / 4.7.1：
Cost-Dependent Local Minima of Some Blind Algorithms / 4.7.2：
Static and Dynamic Convergence Behavior of FIR Equalizers / 4.8：
Basic Relationships / 4.8.1：
Properties of Prediction Error Function / 4.8.2：
Static Convergence Analysis / 4.8.3：
Dynamic Convergence Analysis / 4.8.4：
Computer Simulations / 4.8.5：
Summary and Further Reading / 4.9：
Linear Multichannel Identification Methods Based On Second Order Statistics / 5：
Multiple Discrete Channel Model for Identification / 5.1：
Linear Baseband Model / 5.2.1：
Channel Diversity from Integer Oversampling / 5.2.2：
Fractional Oversampling / 5.2.3：
Second Order Statistics of Multichannel Outputs / 5.3：
The TXK Time Domain SIMO Algorithm / 5.4：
Two SIMO Methods for Blind Identification / 5.5：
A Subspace Based Algorithm / 5.5.1：
A Subchannel Matching Algorithm / 5.5.2：
Exploiting Partial System Information / 5.6：
Motivations / 5.6.1：
Partial Knowledge of the Composite Channel / 5.6.2：
Simulation Results / 5.6.3：
Least Square Estimation Approaches to SIMO Identification / 5.7：
Multichannel Identification from Second Order Statistics / 5.7.1：
Linear Prediction Algorithm for Multichannel Identification / 5.7.2：
Outer-Product Decomposition Algorithm / 5.7.3：
Multi-Step Linear Prediction / 5.7.4：
Channel Estimation by Linear Smoothing / 5.7.5：
Channel Estimation by Constrained Output Energy Minimization / 5.7.6：
Discussion / 5.7.7：
Chapter Summary / 5.7.8：
Frequency Domain Approaches to Single User Channel Identification / 6：
Overview / 6.1：
Second Order Cyclostationarity / 6.2：
Channel Identification via Frequency Response Sampling / 6.3：
Channel Phase Information in Output SCD / 6.4：
Rational Transfer Function Identification / 6.5：
Discussions / 6.6：
SCD Estimation and Simulation / 6.7：
Estimating SCD from Data / 6.7.1：
Simulation Example / 6.7.2：
Discrete ARMA System Identification / 6.8：
Cyclostationary Channel Information / 6.8.1：
The Need for a Parametric Channel Model / 6.8.2：
A Parametric Identification Method for ARMA Channels / 6.9：
Basic Conditions / 6.9.1：
Identifying Poles and Zeros / 6.9.2：
Remarks / 6.9.3：
Non-Parametric Identification of ARMA Channels / 6.10：
Magnitude Identification / 6.10.1：
Phase Identification / 6.10.2：
Phase Distortion Analysis / 6.10.3：
Phase Unwrapping and a Combined Method / 6.10.4：
Simulation Results of Frequency Domain Methods / 6.11：
Phase Response Recovery Based on Partial Knowledge / 6.12：
Exploiting Known Phase Information / 6.12.1：
Adaptive Multichannel Equalization / 6.12.2：
Multichannel Equalization / 7.1：
SIMO Equalizers / 7.1.1：
MIMO Equalizers / 7.1.2：
SIMO Constant Modulus Algorithm / 7.2：
Basic Properties / 7.2.1：
Uniqueness of Hyper-cone / 7.2.2：
Global Convergence of CMA-FSE / 7.2.3：
Initialization of CMA-FSE / 7.2.4：
SIMO Super-Exponential Algorithm / 7.2.5：
An Unwilling Approximation in TSE Implementation / 7.3.1：
Exact Implementation in FSE / 7.3.2：
Convergence Issues / 7.3.3：
Higher Order Statistical Realization of SEA / 7.3.4：
General Convergence Properties of SIMO Equalizers (FSE) / 7.3.5：
Two Classes of Minima / 7.4.1：
Disappearance of LDM in FSE / 7.4.2：
Cost-Dependent Minima / 7.4.3：
MIMO CMA Equalizer / 7.5：
Linear Equalizability / 7.5.1：
CMA Signal Capturing / 7.5.2：
MIMO Signal Recovery Example / 7.5.3：
Multiple Signal Equalization and Recovery / 7.6：
CMA Cost Modification / 7.6.1：
Global Convergence of Modified CMA MIMO Equalizers / 7.6.2：
Local Convergence / 7.6.3：
Selected Topics in Multichannel Equalization / 7.6.4：
Deterministic Approaches to Blind Equalization / 8.1：
Direct Multichannel Blind Equalization / 8.1.1：
Direct Symbol Estimation / 8.1.2：
Deterministic Channel Equalization / 8.1.3：
Column Anchored Equalization / 8.2：
Input Statistical Information / 8.2.1：
Column Shifting / 8.2.2：
Fixed Delay Column Anchoring / 8.2.3：
Variable Delay Column Anchoring / 8.2.4：
Channel Noise Considerations / 8.2.5：
MMSE Equalization / 8.3：
Basic Assumptions and Matrix Properties / 8.3.1：
MMSE Blind Equalizers / 8.3.2：
Estimation of Cross-Correlation Vector / 8.3.3：
MMSE Blind Equalization for SIMO Systems / 8.3.4：
Simulation Examples / 8.3.5：
Scanning the Literature / 8.4：
Blind Channel Equalization and Symbol Estimation / 9.1：
Blind and Semi-blind Channel Identification / 9.2：
Applications in CDMA, OFDM, and Other Systems / 9.3：
Index
Series Introduction
Preface
Introduction / 1：
44.
図書
K. A. Milton
出版情報:
New Jersey : World Scientific, c2001 xv, 301 p. ; 23 cm
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Preface
Introduction to the Casimir Effect / Chapter 1：
Van der Waals Forces / 1.1：
Casimir Effect / 1.2：
Dimensional Dependence / 1.3：
Applications / 1.4：
Local Effects / 1.5：
Sonoluminescence / 1.6：
Radiative Corrections / 1.7：
Other Topics / 1.8：
Conclusion / 1.9：
General References / 1.10：
Casimir Force Between Parallel Plates / Chapter 2：
Introduction / 2.1：
Dimensional Regularization / 2.2：
Scalar Green's Function / 2.3：
Massive Scalar / 2.4：
Finite Temperature / 2.5：
Electromagnetic Casimir Force / 2.6：
Variations / 2.6.1：
Fermionic Casimir Force / 2.7：
Summing Modes / 2.7.1：
Green's Function Method / 2.7.2：
Casimir Force Between Parallel Dielectrics / Chapter 3：
The Lifshitz Theory / 3.1：
Temperature Dependence for Conducting Plates / 3.2：
Finite Conductivity / 3.2.2：
van der Waals Forces / 3.2.3：
Force between Polarizable Molecule and a Dielectric Plate / 3.2.4：
Experimental Verification of the Casimir Effect / 3.3：
Casimir Effect with Perfect Spherical Boundaries / Chapter 4：
Electromagnetic Casimir Self-Stress on a Spherical Shell / 4.1：
Temperature Dependence / 4.1.1：
Fermion Fluctuations / 4.2：
The Casimir Effect of a Dielectric Ball: The Equivalence of the Casimir Effect and van der Waals Forces / Chapter 5：
Green's Dyadic Formulation / 5.1：
Stress on the Sphere / 5.2：
Total Energy / 5.3：
Fresnel Drag / 5.4：
Electrostriction / 5.5：
Dilute Dielectric-Diamagnetic Sphere / 5.6：
Dilute Dielectric Ball / 5.6.1：
Conducting Ball / 5.7.1：
Van der Waals Self-Stress for a Dilute Dielectric Sphere / 5.9：
Discussion / 5.10：
Application to Hadronic Physics: Zero-Point Energy in the Bag Model / Chapter 6：
Zero-point Energy of Confined Gluons / 6.1：
Zero-point Energy of Confined Virtual Quarks / 6.2：
Numerical Evaluation / 6.2.1：
J = 1/2 Contribution / 6.2.1.1：
Sum Over All Modes / 6.2.1.2：
Asymptotic Evaluation of Lowest J Contributions / 6.2.1.3：
Discussion and Applications / 6.3：
Fits to Hadron Masses / 6.3.1：
Calculation of the Bag Constant / 6.4：
Recent Work / 6.5：
Casimir Effect in Cylindrical Geometries / Chapter 7：
Conducting Circular Cylinder / 7.1：
Related Work / 7.1.1：
Parallelepipeds / 7.1.2：
Wedge-Shaped Regions / 7.1.3：
Dielectric-Diamagnetic Cylinder--Uniform Speed of Light / 7.2：
Integral Representation for the Casimir Energy / 7.2.1：
Casimir Energy of an Infinite Cylinder when [epsilon subscript 1 mu subscript 1] = [epsilon subscript 2 mu subscript 2] / 7.2.2：
Dilute Compact Cylinder and Perfectly Conducting Cylindrical Shell / 7.2.3：
Van der Waals Energy of a Dielectric Cylinder / 7.3：
Casimir Effect in Two Dimensions: The Maxwell-Chern-Simons Casimir Effect / Chapter 8：
Casimir Effect in 2 + 1 Dimensions / 8.1：
Temperature Effect / 8.2.1：
Casimir Force between Chern-Simons Surfaces / 8.2.2：
Circular Boundary Conditions / 8.3：
Casimir Self-Stress on a Circle / 8.3.1：
Numerical Results at Zero Temperature / 8.3.2：
High-Temperature Limit / 8.3.3：
Scalar Casimir Effect on a Circle / 8.3.4：
Casimir Effect on a D-dimensional Sphere / Chapter 9：
Scalar or TE Modes / 9.1：
TM Modes / 9.2：
Energy Derivation / 9.2.1：
Numerical Evaluation of the Stress / 9.2.2：
Convergent Reformulation of (9.52) / 9.2.2.1：
Casimir Stress for Integer D [less than or equal] 1 / 9.2.3：
Numerical results / 9.2.4：
Toward a Finite D = 2 Casimir Effect / 9.3：
Cosmological Implications of the Casimir Effect / Chapter 10：
Scalar Casimir Energies in M[superscript 4] X S[superscript N] / 10.1：
N = 1 / 10.1.1：
The General Odd-N Case / 10.1.2：
The Even-N Case / 10.1.3：
A Simple [xi]-Function Technique / 10.1.4：
Other Work / 10.2：
The Cosmological Constant / 10.3：
Parallel Plates / Chapter 11：
Local Casimir Effect for Wedge Geometry / 11.2：
Quark and Gluon Condensates in the Bag Model / 11.3：
Surface Divergences / 11.5：
Sonoluminescence and the Dynamical Casimir Effect / Chapter 12：
The Adiabatic Approximation / 12.1：
Discussion of Form of Force on Surface / 12.3：
Bulk Energy / 12.4：
Dynamical Casimir Effect / 12.5：
Radiative Corrections to the Casimir Effect / Chapter 13：
Formalism for Computing Radiative Corrections / 13.1：
Radiative Corrections for Parallel Conducting Plates / 13.2：
Radiative Corrections for a Spherical Boundary / 13.2.1：
Conclusions / 13.4：
Conclusions and Outlook / Chapter 14：
Relation of Contour Integral Method to Green's Function Approach / Appendix A：
Casimir Effect for a Closed String / Appendix B：
Open Strings / B.1：
Bibliography
Index
Preface
Introduction to the Casimir Effect / Chapter 1：
Van der Waals Forces / 1.1：
45.
図書
Ralph I. Stephens ... [et al.]
出版情報:
New York : J. Wiley, c2001 xxi, 472 p. ; 25 cm
子書誌情報:
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目次情報:
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Preface
Biographical Sketches
Introduction and Historical Overview / 1：
Mechanical Failure Modes / 1.1：
Importance of Fatigue Considerations in Design / 1.2：
Historical Overview of Fatigue / 1.3：
Summary / 1.4：
Dos and Don'ts in Design / 1.5：
References / 1.6：
Problems
Fatigue Design Methods / 2：
Strategies in Fatigue Design / 2.1：
The In-House Tool / 2.1.1：
The New Model / 2.1.2：
The New Product / 2.1.3：
Design to Code / 2.1.4：
Fatigue Design Criteria / 2.2：
Infinite-Life Design / 2.2.1：
Safe-Life Design / 2.2.2：
Fail-Safe Design / 2.2.3：
Damage-Tolerant Design / 2.2.4：
Analysis and Testing / 2.3：
Probabilistic Design and Reliability / 2.4：
CAE and Digital Prototyping / 2.5：
In-Service Inspection and Acquisition of Relevant Experience / 2.6：
Macro/Micro Aspects of Fatigue of Metals / 2.7：
Fatigue Fracture Surfaces and Macroscopic Features / 3.1：
Fatigue Mechanisms and Microscopic Features / 3.2：
Fatigue Tests and the Stress-Life (S-N) Approach / 3.3：
Fatigue Loading, Test Machines, and Specimens / 4.1：
Fatigue Loading / 4.1.1：
Fatigue Test Machines / 4.1.2：
Fatigue Test Specimens / 4.1.3：
Stress-Life (S-N) Curves / 4.2：
General S-N Behavior / 4.2.1：
Fatigue Limit Under Fully Reversed Uniaxial Stressing / 4.2.2：
Mean Stress Effects on S-N Behavior / 4.3：
Factors Influencing S-N Behavior / 4.4：
Microstructure / 4.4.1：
Size Effects / 4.4.2：
Surface Finish / 4.4.3：
Frequency / 4.4.4：
S-N Curve Representation and Approximations / 4.5：
Example of Life Estimation Using the S-N Approach / 4.6：
Cyclic Deformation and the Strain-Life ([varepsilon]-N) Approach / 4.7：
Monotonic Tension Test and Stress-Strain Behavior / 5.1：
Strain-Controlled Test Methods / 5.2：
Cycle-Dependent Material Deformation and Cyclic Stress-Strain Behavior / 5.3：
Strain-Based ([varepsilon]-N) Approach to Life Estimation / 5.4：
Determination of Strain-Life Fatigue Properties / 5.5：
Mean Stress Effects / 5.6：
Surface Finish and Other Factors Influencing Strain-Life Behavior / 5.7：
Fundamentals of Lefm and Applications to Fatigue Crack Growth / 5.8：
Lefm Concepts / 6.1：
Loading Modes / 6.1.1：
Stress Intensity Factor, K / 6.1.2：
K Expressions for Common Cracked Members / 6.1.3：
Superposition for Combined Mode I Loading / 6.1.4：
Crack Tip Plastic Zone / 6.2：
Fracture Toughness--K[subscript c], K[subscript Ic] / 6.3：
Fatigue Crack Growth, da/dN-[Detta]K / 6.4：
Sigmoidal da/dN-[Detta]K Curve / 6.4.1：
Constant Amplitude Fatigue Crack Growth Test Methods / 6.4.2：
da/dN-[Detta]K for R = 0 / 6.4.3：
Crack Growth Life Integration Example with No Mean Stress Effects / 6.4.4：
Cyclic Plastic Zone Size / 6.5：
Crack Closure / 6.7：
Small Fatigue Cracks and Lefm Limitations / 6.8：
Plasticity Extension of Lefm and Elastic-Plastic Fracture Mechanics / 6.9：
Notches and Their Effects / 6.10：
Concentrations and Gradients of Stress and Strain / 7.1：
S-N Approach for Notched Members / 7.2：
Notch Sensitivity and the Fatigue Notch Factor, K[subscript f] / 7.2.1：
Effects of Stress Level on Notch Factor / 7.2.2：
Mean Stress Effects and Haigh Diagrams / 7.2.3：
Example of Life Estimation with the S-N Approach / 7.2.4：
Notch Strain Analysis and the Strain-Life Approach / 7.3：
Notch Stresses and Strains / 7.3.1：
Neuber's Rule / 7.3.2：
Strain Energy Density or Glinka's Rule / 7.3.3：
Plane Stress versus Plane Strain / 7.3.4：
Example of Life Estimation Using the Strain-Life Approach / 7.3.5：
Applications of Fracture Mechanics to Crack Growth at Notches / 7.4：
The Two-Stage Approach to Fatigue Life Estimation / 7.5：
Residual Stresses and Their Effects on Fatigue Resistance / 7.6：
Examples / 8.1：
Production of Residual Stresses and Fatigue Resistance / 8.2：
Mechanical Methods / 8.2.1：
Thermal Methods / 8.2.2：
Plating / 8.2.3：
Machining / 8.2.4：
Relaxation of Residual Stresses / 8.3：
Measurement of Residual Stresses / 8.4：
Stress Intensity Factors for Residual Stresses / 8.5：
Fatigue from Variable Amplitude Loading / 8.6：
Spectrum Loads and Cumulative Damage / 9.1：
Damage Quantification and the Concepts of Damage Fraction and Accumulation / 9.2：
Cumulative Damage Theories / 9.3：
Palmgren-Miner Linear Damage Rule / 9.3.1：
Nonlinear Damage Theories / 9.3.2：
Load Interaction and Sequence Effects / 9.4：
Cycle Counting Methods / 9.5：
Rainflow Method / 9.5.1：
Other Cycle Counting Methods / 9.5.2：
Life Estimation Using the Stress-Life Approach / 9.6：
Life Estimation Using the Strain-Life Approach / 9.7：
Crack Growth and Life Estimation Models / 9.8：
Simulating Service Histories in the Laboratory and Digital Prototyping / 9.9：
Laboratory Test Methods / 9.9.1：
Digital Prototyping / 9.9.2：
Multiaxial Stresses / 9.10：
States of Stress and Strain and Proportional versus Nonproportional Loading / 10.1：
Yielding and Plasticity in Multiaxial Fatigue / 10.2：
Stress-Based Criteria / 10.3：
Equivalent Stress Approaches / 10.3.1：
Sines Method / 10.3.2：
Examples Using the Stress-Life Approach / 10.3.3：
Strain-Based, Energy-Based, and Critical Plane Approaches / 10.4：
Strain-Based and Energy-Based Approaches / 10.4.1：
Critical Plane Approaches and the Fatemi-Socie Model / 10.4.2：
Example of Nonproportional Loading / 10.4.3：
Fracture Mechanics Models for Fatigue Crack Growth / 10.5：
Notch Effects and Variable Amplitude Loading / 10.6：
Environmental Effects / 10.7：
Corrosion Fatigue / 11.1：
Stress Corrosion Cracking/Environment-Assisted Cracking / 11.1.1：
Stress-Life (S-N) Behavior / 11.1.2：
Strain-Life ([varepsilon]-N) Behavior / 11.1.3：
Fatigue Crack Growth (da/dN-[Delta]K) Behavior / 11.1.4：
Protection Against Corrosion Fatigue / 11.1.5：
Corrosion Fatigue Life Estimation / 11.1.6：
Fretting Fatigue / 11.1.7：
Mechanisms of Fretting Fatigue / 11.2.1：
Influence of Variables / 11.2.2：
Low-Temperature Fatigue / 11.2.3：
Monotonic Behavior at Low Temperatures / 11.3.1：
Stress-life (S-N) Behavior / 11.3.2：
Strain-life ([varepsilon]-N) Behavior / 11.3.3：
Variable Amplitude Behavior and Fatigue Life Estimation / 11.3.4：
High-Temperature Fatigue / 11.3.6：
Creep Deformation / 11.4.1：
Stress-Strain Behavior Under Cyclic Loading and Hold Times / 11.4.2：
Stress-life (S-N) Creep Behavior / 11.4.3：
Neutron Irradiation / 11.4.4：
Fatigue of Weldments / 12：
Weldment Nomenclature and Discontinuities / 12.1：
Constant Amplitude Fatigue Behavior of Weldments / 12.2：
Crack Growth (da/dN-[Delta]K) Behavior / 12.2.1：
Spot Welds / 12.2.4：
Improving Weldment Fatigue Resistance / 12.3：
Weldment Fatigue Life Estimation / 12.4：
General Weldment Fatigue Life Models / 12.4.1：
Weldment Fatigue Design Codes and Standards / 12.4.2：
Statistical Aspects of Fatigue / 12.5：
Definitions and Quantification of Data Scatter / 13.1：
Probability Distributions / 13.2：
Normal and Log-Normal Distributions / 13.2.1：
Weibull Distributions / 13.2.2：
Estimating Low Probabilities of Failure / 13.2.3：
Tolerance Limits / 13.3：
Regression Analysis of Fatigue Data / 13.4：
Reliability Analysis / 13.5：
Example Problem Using the Weibull Distribution / 13.6：
Material Properties / 13.7：
Monotonic Tensile Properties and Fully Reversed, Bending Unnotched Fatigue Limits, S[subscript f], of Selected Engineering Alloys / Table A.1：
Monotonic, Cyclic, and Strain-Life Properties of Selected Engineering Alloys / Table A.2：
Plane Strain Fracture Toughness, K[subscript Ic], for Selected Engineering Alloys (Plate Stock, L-T Direction Unless Otherwise Specified) / Table A.3：
Fatigue Crack Growth Threshold, [Delta]Kth, for Selected Engineering Alloys / Table A.4：
Corrosion Fatigue Behavior in Water or Salt Water for Life [greater than or equal] 10[superscript 7] Cycles for Selected Engineering Alloys / Table A.5：
Author Index
Subject Index
Preface
Biographical Sketches
Introduction and Historical Overview / 1：
46.
図書
リチャード・パワーズ [著] ; 若島正訳
出版情報:
東京 : みすず書房, 2001.12 403p ; 20cm
子書誌情報:
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47.
図書
H. Lomax, T. H. Pulliam, D. W. Zingg
目次情報:
続きを見る
Introduction / 1：
Motivation / 1.1：
Problem Specification and Geometry Preparation / 1.2Background：
Selection of Governing Equations and Boundary Conditions / 1.2.2：
Selection of Gridding Strategy and Numerical Method / 1.2.3：
Assessment and Interpretation of Results / 1.2.4：
Overview / 1.3：
Notation / 1.4：
Conservation Laws and the Model Equations / 2：
Conservation Laws / 2.1：
The Navier-Stokes and Euler Equations / 2.2：
The Linear Convection Equation / 2.3：
Differential Form / 2.3.1：
Solution in Wave Space / 2.3.2：
The Diffusion Equation / 2.4：
SolutioninWaveSpace / 2.4.1：
Linear Hyperbolic Systems / 2.5：
Exercises
Finite-Difference Approximations / 3：
Meshes and Finite-Difference Notation / 3.1：
Space DerivativeApproximations / 3.2：
Finite-Difference Operators / 3.3：
Point Difference Operators / 3.3.1：
Matrix Difference Operators / 3.3.2：
Periodic Matrices / 3.3.3：
CirculantMatrices / 3.3.4：
Constructing Differencing Schemes of Any Order / 3.4：
TaylorTables / 3.4.1：
Generalization of Difference Formulas / 3.4.2：
Lagrange and Hermite Interpolation Polynomials / 3.4.3：
Practical Application of Padé Formulas / 3.4.4：
OtherHigher-OrderSchemes / 3.4.5：
FourierErrorAnalysis / 3.5：
ApplicationtoaSpatialOperator / 3.5.1：
Difference Operators at Boundaries / 3.6：
TheLinearConvectionEquation / 3.6.1：
The Semi-Discrete Approach / 3.6.2：
Reduction of PDE's to ODE's / 4.1：
The Model ODE's / 4.1.1：
TheGenericMatrixForm / 4.1.2：
ExactSolutionsofLinearODE's / 4.2：
EigensystemsofSemi-discreteLinearForms / 4.2.1：
Single ODE's of First and Second Order / 4.2.2：
CoupledFirst-OrderODE's / 4.2.3：
General Solution of Coupled ODE's with Complete Eigensystems / 4.2.4：
RealSpaceandEigenspace / 4.3：
Definition / 4.3.1：
EigenvalueSpectrumsforModelODE's / 4.3.2：
Eigenvectors of the Model Equations / 4.3.3：
Solutions of the Model ODE's / 4.3.4：
TheRepresentative Equation / 4.4：
Finite-Volume Methods / 5：
Basic Concepts / 5.1：
ModelEquations in Integral Form / 5.2：
One-DimensionalExamples / 5.2.1：
A Second-Order Approximation to the Convection Equation / 5.3.1：
A Fourth-Order Approximation to the Convection Equation / 5.3.2：
A Second-Order Approximation to the Diffusion Equation / 5.3.3：
ATwo-Dimensional Example / 5.4：
Time-Marching Methods for ODE'S / 6：
Converting Time-Marching Methods to OΔE's / 6.1：
Solution of Linear OΔE's with Constant Coefficients / 6.3：
First- and Second-Order Difference Equations / 6.3.1：
Special Cases of Coupled First-Order Equations / 6.3.2：
Solution of the Representative OΔE's / 6.4：
The Operational Form and its Solution / 6.4.1：
Examples of Solutions to Time-Marching OΔE's / 6.4.2：
The λ-σ Relation / 6.5：
Establishing the Relation / 6.5.1：
The Principal σ-Root / 6.5.2：
Spurious σ-Roots / 6.5.3：
One-Root Time-Marching Methods / 6.5.4：
Accuracy Measures of Time-Marching Methods / 6.6：
Local and Global Error Measures / 6.6.1：
Local Accuracy of the Transient Solution (erλ |σ|, er&omgea;) / 6.6.2：
Local Accuracy of the Particular Solution (erμ ) / 6.6.3：
Time Accuracy for Nonlinear Applications / 6.6.4：
Global Accuracy / 6.6.5：
Linear Multistep Methods / 6.7：
The General Formulation / 6.7.1：
Examples / 6.7.2：
Two-Step Linear Multistep Methods / 6.7.3：
Predictor-Corrector Methods / 6.8：
Runge-Kutta Methods / 6.9：
Implementation of Implicit Methods / 6.10：
Application to Systems of Equations / 6.10.1：
Application to Nonlinear Equations / 6.10.2：
Local Linearization for Scalar Equations / 6.10.3：
Local Linearization for Coupled Sets of Nonlinear Equations / 6.10.4：
Stability of Linear Systems / 7：
Dependence on the Eigensystem / 7.1：
Inherent Stability of ODE's / 7.2：
The Criterion / 7.2.1：
Complete Eigensystems / 7.2.2：
Defective Eigensystems / 7.2.3：
Numerical Stability of OΔE's / 7.3：
Time-Space Stability and Convergence of OΔE's / 7.3.1：
Numerical Stability Concepts in the Complex σ-Plane / 7.5：
σ-Root Traces Relative to the Unit Circle / 7.5.1：
Stability for Small Δt / 7.5.2：
Numerical Stability Concepts in the Complex λh Plane / 7.6：
Stability for Large h / 7.6.1：
Unconditional Stability, A-Stable Methods / 7.6.2：
Stability Contours in the Complex λh Plane / 7.6.3：
Fourier Stability Analysis / 7.7：
The Basic Procedure / 7.7.1：
Some Examples / 7.7.2：
Relation to Circulant Matrices / 7.7.3：
Consistency / 7.8：
Choosing a Time-Marching Method / 8：
Stiffness Definition for ODE's / 8.1：
Relation to λ-Eigenvalues / 8.1.1：
Driving and Parasitic Eigenvalues / 8.1.2：
Stiffness Classifications / 8.1.3：
Relation of Stiffness to Space Mesh Size / 8.2：
Practical Considerations for Comparing Methods / 8.3：
Comparing the Efficiency of Explicit Methods / 8.4：
Imposed Constraints / 8.4.1：
An Example Involving Diffusion / 8.4.2：
An Example Involving Periodic Convection / 8.4.3：
Coping with Stiffness / 8.5：
Explicit Methods / 8.5.1：
Implicit Methods / 8.5.2：
A Perspective / 8.5.3：
Steady Problems / 8.6：
Relaxation Methods / 9：
Formulation of the Model Problem / 9.1：
Preconditioning the Basic Matrix / 9.1.1：
The Model Equations / 9.1.2：
Classical Relaxation / 9.2：
The Delta Form of an Iterative Scheme / 9.2.1：
The Converged Solution, the Residual, and the Error / 9.2.2：
The Classical Methods / 9.2.3：
The ODE Approach to Classical Relaxation / 9.3：
The Ordinary Differential Equation Formulation / 9.3.1：
ODE Form of the Classical Methods / 9.3.2：
Eigensystems of the Classical Methods / 9.4：
The Point-Jacobi System / 9.4.1：
The Gauss-Seidel System / 9.4.2：
The SOR System / 9.4.3：
Nonstationary Processes / 9.5：
Multigrid / 10：
Eigenvector and Eigenvalue Identification with Space Frequencies / 10.1：
Properties of the Iterative Method / 10.1.2：
The Basic Process / 10.2：
A Two-Grid Process / 10.3：
Numerical Dissipation / 11：
One-Sided First-Derivative Space Differencing / 11.1：
The Modified Partial Differential Equation / 11.2：
The Lax-Wendroff Method / 11.3：
Upwind Schemes / 11.4：
Flux-Vector Splitting / 11.4.1：
Flux-Difference Splitting / 11.4.2：
Artificial Dissipation / 11.5：
Split and Factored Forms / 12：
The Concept / 12.1：
Factoring Physical Representations -Time Splitting / 12.2：
Factoring Space MatrixOperators in 2D / 12.3：
Mesh Indexing Convention / 12.3.1：
Data-Bases and Space Vectors / 12.3.2：
Data-Base Permutations / 12.3.3：
Space Splitting and Factoring / 12.3.4：
Second-Order Factored Implicit Methods / 12.4：
Importance of Factored Forms in Two and Three Dimensions / 12.5：
The Delta Form / 12.6：
Analysis of Split and Factored Forms / 13：
The Representative Equation for Circulant Operators / 13.1：
Example Analysis of Circulant Systems / 13.2：
Stability Comparisons of Time-Split Methods / 13.2.1：
Analysisofa Second-Order Time-Split Method / 13.2.2：
The Representative Equation for Space-Split Operators / 13.3：
Example Analysis of the 2D Model Equation / 13.4：
The Unfactored Implicit Euler Method / 13.4.1：
The Factored Nondelta Form of the Implicit Euler Method / 13.4.2：
The Factored Delta Form of the Implicit Euler Method / 13.4.3：
The Factored Delta Form of the Trapezoidal Method / 13.4.4：
Example Analysis of the 3D Model Equation
Appendices
Useful Relations from Linear Algebra / A：
Definitions / A.1：
Algebra / A.3：
Eigensystems / A.4：
Vector and Matrix Norms / A.5：
Some Properties of Tridiagonal Matrices / B：
Standard Eigensystem for Simple Tridiagonal Matrices / B.1：
Generalized Eigensystem for Simple Tridiagonal Matrices / B.2：
The Inverse of a Simple Tridiagonal Matrix / B.3：
Eigensystems of Circulant Matrices / B.4：
Standard Tridiagonal Matrices / B.4.1：
General Circulant Systems / B.4.2：
Special Cases Found from Symmetries / B.5：
Special Cases Involving Boundary Conditions / B.6：
The Homogeneous Property of the Euler Equations / C：
Index
Introduction / 1：
Motivation / 1.1：
Problem Specification and Geometry Preparation / 1.2Background：
48.
図書
Andrew B. Lawson
目次情報:
続きを見る
Preface and Acknowledgements to Second Edition
Preface and Acknowledgements
The Nature of Spatial Epidemiology / I：
Definitions, Terminology and Data Sets / 1：
Map Hypotheses and Modelling Approaches / 1.1：
Definitions and Data Examples / 1.2：
Case event data / 1.2.1：
Count data / 1.2.2：
Further Definitions / 1.3：
Control events and processes / 1.3.1：
Census tract information / 1.3.2：
Clustering definitions / 1.3.3：
Some Data Examples / 1.4：
Case event examples / 1.4.1：
Count data examples / 1.4.2：
Scales of Measurement and Data Availability / 2：
Small Scale / 2.1：
Large Scale / 2.2：
Rate Dependence / 2.3：
Data Quality and the Ecological Fallacy / 2.4：
Edge Effects / 2.5：
Geographical Representation and Mapping / 3：
Introduction and Definitions / 3.1：
Maps and Mapping / 3.2：
Statistical maps and mapping / 3.2.1：
Object process mapping / 3.2.2：
Geostatistical mapping / 3.2.3：
Statistical Accuracy / 3.3：
Aggregation / 3.4：
Mapping Issues Related to Aggregated Data / 3.5：
Conclusions / 3.6：
Basic Models / 4：
Sampling Considerations / 4.1：
Likelihood-Based and Bayesian Approaches / 4.2：
Point Event Models / 4.3：
Point process models and applications / 4.3.1：
The basic Poisson process model / 4.3.2：
Hybrid models and regionalisation / 4.3.3：
Bayesian models and random effects / 4.3.4：
MAP estimation, empirical Bayes and full Bayesian analysis / 4.3.5：
Bivariate/multivariate models / 4.3.6：
Hidden structure and mixture models / 4.3.7：
Space-time extensions / 4.3.8：
Count Models / 4.4：
Standard models / 4.4.1：
Approximations / 4.4.2：
Random-effect extensions / 4.4.3：
Exploratory Approaches, Parametric Estimation and Inference / 4.4.4：
Exploratory Methods / 5.1：
Cartographic issues / 5.1.1：
Case event mapping / 5.1.2：
Count mapping / 5.1.3：
Parameter Estimation / 5.2：
Case event likelihood models / 5.2.1：
Count event likelihood models / 5.2.2：
Bayesian models / 5.2.3：
Residual Diagnostics / 5.3：
Hypothesis Testing / 5.4：
Edge effects in case events / 5.5：
Edge effects in counts / 5.5.2：
Edge weighting schemes and MCMC methods / 5.5.3：
Discussion / 5.5.4：
The Tuscany example / 5.5.5：
Important Problems in Spatial Epidemiology / II：
Small Scale: Disease Clustering / 6：
Definition of Clusters and Clustering / 6.1：
Modelling Issues / 6.2：
Hypothesis Tests for Clustering / 6.3：
General non-specific clustering / 6.3.1：
Specific clustering / 6.3.2：
Space-Time Clustering / 6.4：
Modelling issues / 6.4.1：
Hypothesis testing / 6.4.2：
Clustering Examples / 6.5：
Humberside example / 6.5.1：
Larynx cancer example / 6.5.2：
Count data clustering example / 6.5.3：
Space-time clustering examples / 6.5.4：
Other Methods Related to Clustering / 6.6：
Wombling / 6.6.1：
Small Scale: Putative Sources of Hazard / 7：
Introduction / 7.1：
Study Design / 7.2：
Retrospective and prospective studies / 7.2.1：
Study region design / 7.2.2：
Replication and controls / 7.2.3：
Problems of Inference / 7.3：
Exploratory techniques / 7.3.1：
Modelling the Hazard Exposure Risk / 7.4：
Models for Case Event Data / 7.5：
Estimation / 7.5.1：
Hypothesis tests / 7.5.2：
Diagnostic techniques / 7.5.3：
A Case Event Example / 7.6：
Models for Count Data / 7.7：
A Count Data Example / 7.7.1：
Other Directions / 7.9：
Multiple disease analysis / 7.9.1：
Space-time modelling / 7.9.2：
Space-time exploratory analysis / 7.9.3：
Space-time Bayesian analysis / 7.9.4：
Large Scale: Disease Mapping / 8：
Simple Statistical Representation / 8.1：
Crude rates / 8.2.1：
Standardised mortality/morbidity ratios, standardisation and relative risk surfaces / 8.2.2：
Interpolation / 8.2.3：
Exploratory mapping methods / 8.2.4：
Likelihood models / 8.3：
Random effects and Bayesian models / 8.3.2：
Advanced Methods / 8.4：
Non-parametric methods / 8.4.1：
Incorporating spatially correlated heterogeneity / 8.4.2：
Case event modelling / 8.4.3：
Model Variants and Extensions / 8.5：
Semiparametric modelling / 8.5.1：
Geographically weighted regression / 8.5.2：
Mixture models / 8.5.3：
Approximate Methods / 8.6：
Multivariate Methods / 8.7：
Evaluation of Model Performance / 8.8：
Hypothesis Testing in Disease Mapping / 8.9：
First-order effects / 8.9.1：
Second-order and variance effects / 8.9.2：
Space-Time Disease Mapping / 8.10：
Spatial Survival and Longitudinal Data / 8.11：
Spatial survival analysis / 8.11.1：
Spatial longitudinal analysis / 8.11.2：
Spatial multiple event modelling / 8.11.3：
Disease Mapping: Case Studies / 8.12：
Eastern Germany / 8.12.1：
Ohio respiratory cancer / 8.12.2：
Ecological Analysis and Scale Change / 9：
Ecological Analysis: Introduction / 9.1：
Small-Scale Modelling Issues / 9.2：
Ecological aggregation effects / 9.2.1：
Changes of Scale and MAUP / 9.3：
MAUP: the modifiable areal unit problem / 9.3.1：
Large-scale issues / 9.3.2：
A Simple Example: Sudden Infant Death in North Carolina / 9.4：
A Case Study: Malaria and IDDM / 9.5：
Infectious Disease Modelling / 10：
General Model Development / 10.1：
Spatial Model Development / 10.3：
Individual-level data / 10.3.1：
Modelling Special Cases for Individual-Level Data / 10.4：
Proportional hazards interpretation / 10.4.1：
Subgroup modifications / 10.4.2：
Cluster function specification / 10.4.3：
Survival Analysis with Spatial Dependence / 10.5：
Individual-Level Data Example / 10.6：
Distribution of susceptibles S(x, t) / 10.6.1：
The spatial distance function h / 10.6.2：
The function g / 10.6.3：
Fitting the model / 10.6.4：
Revised model / 10.6.5：
Underascertainment and Censoring / 10.7：
Large Scale: Surveillance / 10.8：
Process Control Methodology / 11.1：
Spatio-Temporal Modelling / 11.2：
S-T Monitoring / 11.3：
Fixed spatial and temporal frame / 11.3.1：
Fixed spatial frame and dynamic temporal frame / 11.3.2：
Syndromic Surveillance / 11.4：
Multivariate-Multifocus Surveillance / 11.5：
Bayesian Approaches / 11.6：
Bayesian alarm functions, Bayes factors and syndromic analyses / 11.6.1：
Computational Considerations / 11.7：
Infectious Diseases / 11.8：
Monte Carlo Testing, Parametric Bootstrap and Simulation Envelopes / 11.9：
Nuisance Parameters and Test Statistics / A.1：
Monte Carlo Tests / A.2：
Null Hypothesis Simulation / A.3：
Spatial case / A.3.1：
Spatio-temporal case / A.3.2：
Parametric Bootstrap / A.4：
Bayesian spatial models / A.4.1：
Simulation Envelopes / A.4.2：
Markov Chain Monte Carlo Methods / Appendix B：
Definitions / B.1：
Metropolis and Metropolis-Hastings Algorithms / B.2：
Metropolis algorithm / B.2.1：
Metropolis-Hastings extension / B.2.2：
The Gibbs sampler / B.2.3：
M-H versus Gibbs algorithms / B.2.4：
Examples / B.2.5：
Algorithms and Code / Appendix C：
Data Exploration / C.1：
Likelihood and Bayesian Models / C.2：
Likelihood Models / C.3：
Bayesian Hierarchical Models / C.3.1：
Space-Time Analysis / C.4.1：
Data exploration / C.5.1：
Infectious disease models / C.5.2：
Glossary of Estimators / Appendix D：
Case Event Estimators / D.1：
Tract Count Estimators / D.2：
Software / Appendix E：
Spatial statistical tools / E.1：
Geographical information systems / E.1.2：
Bibliography
Index
Preface and Acknowledgements to Second Edition
Preface and Acknowledgements
The Nature of Spatial Epidemiology / I：
49.
図書
S.T. Buckland ... [et al.]
出版情報:
New York : Oxford University Press, 2001 xv, 432 p. ; 24 cm
子書誌情報:
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目次情報:
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Introductory concepts / 1：
Introduction / 1.1：
Distance sampling methods / 1.2：
Quadrat sampling / 1.2.1：
Strip transect sampling / 1.2.2：
Line transect sampling / 1.2.3：
Point counts / 1.2.4：
Point transect sampling / 1.2.5：
Trapping webs / 1.2.6：
Cue counting / 1.2.7：
Dung counts / 1.2.8：
Related techniques / 1.2.9：
The detection function / 1.3：
Range of applications / 1.4：
Objects of interest / 1.4.1：
Method of transect coverage / 1.4.2：
Clustered populations / 1.4.3：
Types of data / 1.5：
Ungrouped data / 1.5.1：
Grouped data / 1.5.2：
Data truncation / 1.5.3：
Units of measurement / 1.5.4：
Ancillary data / 1.5.5：
Known constants and parameters / 1.6：
Known constants / 1.6.1：
Parameters / 1.6.2：
Assumptions / 1.7：
Fundamental concept / 1.8：
Detection of objects / 1.9：
Cue production / 1.9.1：
Observer effectiveness / 1.9.2：
Environment / 1.9.3：
History of methods / 1.10：
Line transects / 1.10.1：
Point transects / 1.10.2：
Program Distance / 1.11：
Assumptions and modelling philosophy / 2：
Assumption 1: objects on the line or point are detected with certainty / 2.1：
Assumption 2: objects are detected at their initial location / 2.1.2：
Assumption 3: measurements are exact / 2.1.3：
Other assumptions / 2.1.4：
Fundamental models / 2.2：
Summary / 2.2.1：
Philosophy and strategy / 2.3：
Model robustness / 2.3.1：
Shape criterion / 2.3.2：
Efficiency / 2.3.3：
Model fit / 2.3.4：
Test power / 2.3.5：
Robust models / 2.4：
Some analysis guidelines / 2.5：
Exploratory phase / 2.5.1：
Model selection / 2.5.2：
Final analysis and inference / 2.5.3：
Statistical theory / 3：
General formula / 3.1：
Standard distance sampling / 3.1.1：
Distance sampling with multipliers / 3.1.2：
The key function formulation for distance data / 3.2：
Maximum likelihood methods / 3.3：
Special cases / 3.3.1：
The half-normal detection function / 3.3.4：
Constrained maximum likelihood estimation / 3.3.5：
Choice of model / 3.4：
Criteria for robust estimation / 3.4.1：
Akaike's Information Criterion / 3.4.2：
The likelihood ratio test / 3.4.3：
Goodness of fit / 3.4.4：
Estimation for clustered populations / 3.5：
Truncation / 3.5.1：
Stratification by cluster size / 3.5.2：
Weighted average of cluster sizes / 3.5.3：
Regression estimators / 3.5.4：
Use of covariates / 3.5.5：
Replacing clusters by individual objects / 3.5.6：
Density, variance and interval estimation / 3.6：
Basic formulae / 3.6.1：
Replicate lines or points / 3.6.2：
The jackknife / 3.6.3：
The bootstrap / 3.6.4：
Estimating change in density / 3.6.5：
A finite population correction factor / 3.6.6：
Stratification and covariates / 3.7：
Stratification / 3.7.1：
Covariates / 3.7.2：
Efficient simulation of distance data / 3.8：
The general approach / 3.8.1：
The simulated line transect data of Chapter 4 / 3.8.2：
The simulated size-biased point transect data of Chapter 5 / 3.8.3：
Discussion / 3.8.4：
Exercises / 3.9：
Example data / 4：
Right-truncation / 4.3：
Left-truncation / 4.3.2：
Estimating the variance in sample size / 4.4：
Analysis of grouped or ungrouped data / 4.5：
The models / 4.6：
Likelihood ratio tests / 4.6.2：
Estimation of density and measures of precision / 4.6.4：
The standard analysis / 4.7.1：
Ignoring information from replicate lines / 4.7.2：
Bootstrap variances and confidence intervals / 4.7.3：
Satterthwaite degrees of freedom for confidence intervals / 4.7.4：
Estimation when the objects are in clusters / 4.8：
Observed cluster size independent of distance / 4.8.1：
Observed cluster size dependent on distance / 4.8.2：
Independence / 4.9：
Detection on the line / 4.9.2：
Movement prior to detection / 4.9.3：
Inaccuracy in distance measurements / 4.9.4：
Standard method with additional truncation / 4.10：
Replacement of clusters by individuals / 5.8.2：
Regression estimator / 5.8.3：
Related methods / 5.9：
Dung and nest surveys / 6.1：
Background / 6.2.1：
Field methods / 6.2.2：
Analysis / 6.2.3：
Line transect surveys for objects that are not continuously available for detection / 6.2.4：
Periods of detectability interspersed with periods of unavailability / 6.3.1：
Objects that give discrete cues / 6.3.2：
Density estimation / 6.4：
Example / 6.4.3：
Distance sampling surveys for fast-moving objects / 6.5：
Line transect surveys / 6.5.1：
Point transect surveys / 6.5.2：
Other models / 6.6：
Binomial models / 6.6.1：
Estimators based on the empirical cdf / 6.6.2：
Estimators based on shape restrictions / 6.6.3：
Kernel estimators / 6.6.4：
Hazard-rate models / 6.6.5：
Distance sampling surveys when the observed area is incompletely covered / 6.7：
Survey design and field methods / 6.8：
Estimation of density / 6.8.2：
Monte Carlo simulations / 6.8.4：
A simple example / 6.8.5：
Darkling beetle surveys / 6.8.6：
Point-to-object and nearest neighbour methods / 6.9：
Study design and field methods / 6.10：
Survey design / 7.1：
Transect layout / 7.2.1：
Sample size / 7.2.2：
Survey protocol and searching behaviour / 7.3：
Data measurement and recording / 7.3.1：
Distance measurement / 7.4.1：
Angle measurement / 7.4.2：
Distance measurement error / 7.4.3：
Cluster size / 7.4.4：
Line length measurement / 7.4.5：
Data recording / 7.4.6：
Training observers / 7.5：
Aerial surveys / 7.6：
Aircraft and survey characteristics / 7.6.1：
Search and survey protocol / 7.6.2：
Marine shipboard surveys / 7.6.3：
Vessel and survey characteristics / 7.7.1：
Land-based surveys / 7.7.2：
Surveys of small objects / 7.8.1：
Stratification by habitat / 7.8.2：
Permanent transects and repeat transects / 7.8.3：
Cut transects / 7.8.4：
Roads, tracks and paths as transects / 7.8.5：
Spotlight and thermal imager surveys / 7.8.6：
Objects detected away from the line / 7.8.7：
Bird surveys / 7.8.8：
Surveys in riparian habitats / 7.8.9：
Special circumstances / 7.9：
Multi-species surveys / 7.9.1：
Surveys of animals that occur at high densities / 7.9.2：
One-sided transects / 7.9.3：
Uneven terrain and contour transects / 7.9.4：
Uncertain detection on the trackline / 7.9.5：
Field comparisons between line transects, point transects and mapping censuses / 7.10：
Breeding birds in Californian coastal scrub / 7.10.1：
Breeding birds in Sierran subalpine forest / 7.10.2：
Bobolink surveys in New York state / 7.10.3：
Breeding birds in Californian oak-pine woodlands / 7.10.4：
Breeding birds along the Colorado River / 7.10.5：
Birds of Miller Sands Island, Oregon / 7.10.6：
Concluding remarks / 7.10.7：
Illustrative examples / 7.11：
Lake Huron brick data / 8.1：
Wooden stake data / 8.3：
Studies of nest density / 8.4：
Spatial distribution of duck nests / 8.4.1：
Nest detection in differing habitat types / 8.4.2：
Models for the detection function g(x) / 8.4.4：
Estimating trend in nest numbers / 8.4.5：
Fin whale abundance in the North Atlantic / 8.5：
House wren densities in South Platte River bottomland / 8.6：
Songbird point transect surveys in Arapaho NWR / 8.7：
Assessing the effects of habitat on density / 8.8：
Bibliography
Common and scientific names of plants and animals
Glossary of notation and abbreviations
Index
Introductory concepts / 1：
Introduction / 1.1：
Distance sampling methods / 1.2：
50.
図書
Alexander M. Samsonov
目次情報:
続きを見る
Nonlinear waves in elastic solids / 1：
Basic definitions / 1.1：
Wave terminology / 1.1.1：
Deformation and strains / 1.1.2：
Stresses / 1.1.3：
Physical and geometrical sources of nonlinearity / 1.2：
Elastic potentials and moduli / 1.2.1：
Compressibility, dispersion and dissipation in wave guides / 1.3：
A mathematical description of the general deformation wave problem / 2：
Action functional and the Lagrange formalism / 2.1：
Coupled equations of long wave propagation / 2.2：
One-dimensional quasi-hyperbolic equation / 2.3：
Derivation of the Doubly Dispersive Equation (DDE) / 2.3.1：
Refinement of the derivation of the DDE / 2.3.2：
Equations for wave in non-uniform highly nonlinear wave guide / 2.3.3：
Main assumptions and 2-D coupled equations / 2.4：
Waves in a wave guide embedded in an external medium / 2.5：
Direct methods and formal solutions / 3：
Nonlinear hyperbolic and evolution equations / 3.1：
Travelling wave solutions to the KdV and the DDE equations / 3.1.1：
Conservation laws / 3.2：
The Hamiltonian structure / 3.2.1：
Some notices in critical points analysis for an o.d.e. / 3.3：
New approach to a solution for an autonomous dissipative nonlinear equation / 3.4：
A general theorem of reduction / 3.5：
Dissipative equations with polynomial nonlinearity / 3.6：
Square and cubic polynomial nonlinearities / 3.6.1：
Physical interpretation of additional conditions for the travelling wave existence / 3.6.2：
Elliptic function solutions to higher order problems / 3.7：
Example of a nonlinear reaction-diffusion problem / 3.8：
Discontinuous solutions / 3.8.1：
Bounded periodical and solitary wave solutions / 3.8.2：
Autosoliton solution / 3.8.3：
Periodic bounded solutions in case [Delta] ] 0 / 3.8.4：
Nonlinear strain waves in elastic wave guides / 4：
Features of longitudinal waves in a rod / 4.1：
Experiments in nonlinear waves in solids / 4.2：
Strain soliton observation / 4.2.1：
Why is it a soliton? / 4.2.2：
Reflection of a strain soliton / 4.2.3：
Solitons in inhomogeneous rods / 4.3：
Solitons in the non-uniform rod / 4.3.1：
Solitons in the inhomogeneous rod / 4.3.2：
Experiments in soliton propagation in the non-uniform rod / 4.4：
Nonlinear waves in complex wave guides / 5：
Longitudinal nonlinear waves in an elastic plate / 5.1：
Generation and observation of the strain soliton in a plate / 5.1.1：
Longitudinal waves in rods embedded in a surrounding medium / 5.2：
Kinks in a rod in full contact with a surrounding medium / 5.2.1：
Waves in a rod in sliding contact with a surrounding medium / 5.2.2：
Statement and the solution to the problem / 5.2.3：
External stresses on the rod lateral surface / 5.2.4：
Derivation of strain-displacement relationships inside the rod / 5.2.5：
A nonlinear evolution equation for longitudinal strain waves along the rod and its solution / 5.2.6：
The influence of the external medium on the propagation of the strain soliton along the rod / 5.2.7：
A numerical simulation of unsteady strain wave propagation / 5.2.8：
Applications of the theory / 5.2.9：
Conclusions / 5.2.10：
Nonlinear waves in the layer upon the elastic half space / 5.3：
Physical background / 5.3.1：
Basic equations / 5.3.2：
The layer and the half-space contact with slippage / 5.3.3：
The full contact of the layer and the half-space / 5.3.4：
On various mathematical models of nonlinear waves in a layered medium / 5.3.5：
On physical experiments in waves in a layered medium / 5.3.6：
Numerical simulation of the solitary waves in solids / 6：
Numerical simulation of non-stationary deformation waves / 6.1：
Parametrisation of the strain solitary wave / 6.1.1：
Solitary waves in a homogeneous rod / 6.2：
Solitary waves in a nonuniform rod / 6.3：
Solitary waves in complex rods / 6.4：
Strain solitions in a rod with the periodically varied cross section / 6.4.1：
An example of classification using soliton transformation / 6.4.2：
Conclusive remarks and tentative applications
Bibliography
Appendix
Index
Nonlinear waves in elastic solids / 1：
Basic definitions / 1.1：
Wave terminology / 1.1.1：
51.
図書
edited by Fred M. Dickey, Scott C. Holswade, David L. Shealy
52.
図書
Damir Filipović
目次情報:
続きを見る
Introduction / 1：
Bond Markets / 1.1：
Forward Curve Fitting Methods and Factor Models / 1.2：
The HJM Methodology / 1.3：
Invariant Manifolds / 1.4：
Outline / 1.5：
Remark on Notation / 1.6：
Stochastic Equations in Infinite Dimensions / 2：
Ininite Dimensional Brownian Motion / 2.1：
The Stochastic Integral / 2.2：
Fundamental Tools / 2.3：
Ito's Formula / 2.3.1：
The Stochastic Fubini Theorem / 2.3.2：
Girsanov's Theorem / 2.3.3：
Stochastic Equations / 2.4：
Mild, Weak and Strong Solutions / 2.4.1：
Existence and Uniqueness / 2.4.2：
Consistent State Space Processes / 3：
ltd Process Factor Models / 3.1：
Exponential-Polynomial Families / 3.2：
Auxiliary Results / 3.3：
The Case BEP(l, n) / 3.4：
The General Case BEP(K, n) / 3.5：
The Diffusion Case / 3.6：
Applications / 3.7：
The Nelson-Siegel Family / 3.7.1：
The Svensson Family / 3.7.2：
Conclusions / 3.8：
The HJM Methodology Revisited / 4：
Term Structure Movements / 4.1：
The Musiela Parametrization / 4.2：
A r bit rage-free Term Structure Movements / 4.3：
Contingent Claim Valuation / 4.4：
When Is Z(-,T) a True Q-Martingale? / 4.4.1：
The Forward Measure / 4.4.2：
Forward LIBOR Rates / 4.4.3：
Caps / 4.4.4：
What Is a Model? / 4.5：
The Forward Curve Spaces Hw / 5：
Deinition of Hw / 5.1：
Volatility Speciication / 5.2：
The Yield Curve / 5.3：
Local State Dependent Volatility / 5.4：
Functional Dependent Volatility / 5.5：
The BGM Model / 5.6：
Invariant Manifolds for Stochastic Equations / 6：
Finite Dimensional Submanifolds in Banach Spaces / 6.1：
Proof of Theorems 6.2.1-6.2.4 / 6.2：
Consistency Conditions in Local Coordinates / 6.4：
Consistent HJM Models / 7：
Consistency Problems / 7.1：
A Simple Regularity Criterion for G / 7.2：
Regular Exponential-Polynomial Families / 7.3：
The Regular Svensson Family / 7.3.1：
Afine Term Structure / 7.4：
The Cox-Ingersoll-Ross (CIR) Model / 7.4.1：
The Vasicek Model / 7.4.2：
Appendix: A Summary of Conditions / 8：
Axioms for the Forward Curve Space / 8.1：
Conditions on the Forward Curve Movements / 8.2：
Conditions for HJM Models / 8.3：
Assumptions for Characterizing Invariant Manifolds / 8.4：
References
Index
Introduction / 1：
Bond Markets / 1.1：
Forward Curve Fitting Methods and Factor Models / 1.2：
53.
図書
James Renegar
目次情報:
続きを見る
Preface
Preliminaries / 1：
Linear Algebra / 1.1：
Gradients / 1.2：
Hessians / 1.3：
Convexity / 1.4：
Fundamental Theorems of Calculus / 1.5：
Newton's Method / 1.6：
Basic Interior-Point Method Theory / 2：
Intrinsic Inner Products / 2.1：
Self-Concordant Functionals / 2.2：
Introduction / 2.2.1：
Self-Concordancy and Newton's Method / 2.2.2：
Other Properties / 2.2.3：
Barrier Functionals / 2.3：
Analytic Centers / 2.3.1：
Optimal Barrier Functionals / 2.3.3：
Logarithmic Homogeneity / 2.3.4：
Primal Algorithms / 2.4：
The Barrier Method / 2.4.1：
The Long-Step Barrier Method / 2.4.3：
A Predictor-Corrector Method / 2.4.4：
Matters of Definition / 2.5：
Conic Programming and Duality / 3：
Conic Programming / 3.1：
Classical Duality Theory / 3.2：
The Conjugate Functional / 3.3：
Duality of the Central Paths / 3.4：
Self-Scaled (or Symmetric) Cones / 3.5：
An Important Remark on Notation / 3.5.1：
Scaling Points / 3.5.3：
Gradients and Norms / 3.5.4：
A Useful Theorem / 3.5.5：
The Nesterov--Todd Directions / 3.6：
Primal-Dual Path-Following Methods / 3.7：
Measures of Proximity / 3.7.1：
An Algorithm / 3.7.2：
Another Algorithm / 3.7.3：
A Primal-Dual Potential-Reduction Method / 3.8：
The Potential Function / 3.8.1：
The Algorithm / 3.8.2：
The Analysis / 3.8.3：
Bibliography
Index
Preface
Preliminaries / 1：
Linear Algebra / 1.1：
54.
ＥＢ
Filipović
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2001
子書誌情報:
loading…
所蔵情報:
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目次情報:
続きを見る
Introduction / 1：
Bond Markets / 1.1：
Forward Curve Fitting Methods and Factor Models / 1.2：
The HJM Methodology / 1.3：
Invariant Manifolds / 1.4：
Outline / 1.5：
Remark on Notation / 1.6：
Stochastic Equations in Infinite Dimensions / 2：
Ininite Dimensional Brownian Motion / 2.1：
The Stochastic Integral / 2.2：
Fundamental Tools / 2.3：
Ito's Formula / 2.3.1：
The Stochastic Fubini Theorem / 2.3.2：
Girsanov's Theorem / 2.3.3：
Stochastic Equations / 2.4：
Mild, Weak and Strong Solutions / 2.4.1：
Existence and Uniqueness / 2.4.2：
Consistent State Space Processes / 3：
ltd Process Factor Models / 3.1：
Exponential-Polynomial Families / 3.2：
Auxiliary Results / 3.3：
The Case BEP(l, n) / 3.4：
The General Case BEP(K, n) / 3.5：
The Diffusion Case / 3.6：
Applications / 3.7：
The Nelson-Siegel Family / 3.7.1：
The Svensson Family / 3.7.2：
Conclusions / 3.8：
The HJM Methodology Revisited / 4：
Term Structure Movements / 4.1：
The Musiela Parametrization / 4.2：
A r bit rage-free Term Structure Movements / 4.3：
Contingent Claim Valuation / 4.4：
When Is Z(-,T) a True Q-Martingale? / 4.4.1：
The Forward Measure / 4.4.2：
Forward LIBOR Rates / 4.4.3：
Caps / 4.4.4：
What Is a Model? / 4.5：
The Forward Curve Spaces Hw / 5：
Deinition of Hw / 5.1：
Volatility Speciication / 5.2：
The Yield Curve / 5.3：
Local State Dependent Volatility / 5.4：
Functional Dependent Volatility / 5.5：
The BGM Model / 5.6：
Invariant Manifolds for Stochastic Equations / 6：
Finite Dimensional Submanifolds in Banach Spaces / 6.1：
Proof of Theorems 6.2.1-6.2.4 / 6.2：
Consistency Conditions in Local Coordinates / 6.4：
Consistent HJM Models / 7：
Consistency Problems / 7.1：
A Simple Regularity Criterion for G / 7.2：
Regular Exponential-Polynomial Families / 7.3：
The Regular Svensson Family / 7.3.1：
Afine Term Structure / 7.4：
The Cox-Ingersoll-Ross (CIR) Model / 7.4.1：
The Vasicek Model / 7.4.2：
Appendix: A Summary of Conditions / 8：
Axioms for the Forward Curve Space / 8.1：
Conditions on the Forward Curve Movements / 8.2：
Conditions for HJM Models / 8.3：
Assumptions for Characterizing Invariant Manifolds / 8.4：
References
Index
Introduction / 1：
Bond Markets / 1.1：
Forward Curve Fitting Methods and Factor Models / 1.2：
55.
図書
Xiang-gen Xia
目次情報:
続きを見る
Series Introduction / K. J. Ray Liu
Preface
Introduction / 1：
Post Equalizations / 1.1：
Transmitter Assisted Equalizations / 1.2：
TH Precoding / 1.2.1：
Modulated Coding and Vector Coding / 1.2.2：
Information Rates and Capacity of an ISI Channel with AWGN / 1.3：
Some Notations / 1.4：
Modulated Codes: Fundamentals and Coding Gain / 2：
Modulated Codes / 2.1：
Coding Gain in AWGN Channel / 2.2：
MC Combined with an ISI Channel / 2.3：
Coding Gain in ISI Channels / 2.4：
More Results on Coding Gain / 2.5：
Existence of Rate 2/[Gamma] MC with Coding Gain / 2.5.1：
Some Sufficient Conditions on the Existence of Higher Rate Block MC with Coding Gain / 2.5.2：
A Method on the Rate Estimation of MC with Coding Gain / 2.5.3：
Lower and Upper Bounds on the Coding Gain / 2.5.4：
Joint Maximum-Likelihood Encoding and Decoding / 3：
Performance Analysis of MC / 3.1：
A Method for Computing the Distance Spectrum of Modulated Codes / 3.2：
Error-Pattern Trellis / 3.2.1：
Distance Spectrum and Bidirectional Searching Algorithm / 3.2.2：
Simulation Examples / 3.3：
An Algorithm for Searching the Optimal MC Given an ISI Channel / 3.4：
Modulated Code Coded Decision Feedback Equalizer / 4：
MC Coded Zero-Forcing DFE / 4.1：
Performance Analysis / 4.1.1：
The Optimal MC Design / 4.1.2：
Some Simulation Results / 4.1.3：
MC Coded Minimum Mean Square Error DFE / 4.2：
Optimal Decision-Delay and Coefficients of an MC Coded MMSE-DFE / 4.2.1：
Optimal Block MC for MC Coded MMSE-DFE / 4.2.2：
Simulation Results / 4.2.3：
An Optimal MC Design Converting ISI Channel into ISI-Free Channel / 4.3：
An Optimal Modulated Code Design / 4.3.1：
A Sub-optimal Modulated Code Design / 4.3.2：
Delayed Design / 4.3.3：
Capacity and Information Rates for Modulated Code Coded Intersymbol Interference Channels / 4.3.4：
Some Lower Bounds of Capacity and Information Rates / 5.1：
MC Existence with Increased Information Rates / 5.2：
Numerical Results / 5.3：
Combined Turbo and MC Coding / 5.4：
Joint Turbo and Modulated Code Encoding / 5.4.1：
Joint Soft Turbo and MC Decoding / 5.4.2：
Space-Time Modulated Coding for Memory Channels / 5.4.3：
Channel Model and Space-Time MC / 6.1：
Space-Time MC Coded ZF-DFE / 6.2：
MC Coded ZF-DFE and Performance Analysis / 6.2.1：
The Optimal Space-Time MC Design / 6.2.2：
Capacity and Information Rates of the Space-Time MC Coded MIMO Systems / 6.3：
Capacity and Information Rates of MIMO Systems without MC Encoding / 6.3.1：
Modulated Code Coded Orthogonal Frequency Division Multiplexing Systems / 6.3.2：
OFDM Systems for ISI Channels / 7.1：
General MC Coded OFDM Systems for ISI Channels / 7.2：
Channel Independent MC Coded OFDM System for ISI Channels / 7.3：
A Special MC / 7.3.1：
An Example / 7.3.2：
Performance Analysis of MC Coded OFDM Systems for ISI Channels / 7.3.3：
Vector OFDM Systems / 7.3.4：
Channel Independent MC Coded OFDM System for Frequency-Selective Fading Channels / 7.3.5：
Polynomial Ambiguity Resistant Modulated Codes for Blind ISI Mitigation / 7.4.1：
PARMC: Definitions / 8.1：
Basic Properties and a Family of PARMC / 8.2：
Applications in Blind Identification / 8.3：
Blind Identifiability / 8.3.1：
An Algebraic Blind Identification Algorithm / 8.3.2：
Applications in Communication Systems / 8.4：
Applications in Single-Receiver, Baud-Rate Sampled Systems / 8.4.1：
Applications in Undersampled Antenna Array Receiver Systems / 8.4.2：
Numerical Examples / 8.5：
Single Antenna Receiver with Baud Sampling Rate / 8.5.1：
Undersampled Antenna Array Receivers / 8.5.2：
Characterization and Construction of Polynomial Ambiguity Resistant Modulated Codes / 9：
PAR-Equivalence and Canonical Forms for Irreducible Polynomial Matrices / 9.1：
(Strong) rth PARMC with N ] K / 9.2：
(Strong) rth PARMC with N = K + 1 / 9.3：
An Optimal Polynomial Ambiguity Resistant Modulated Code Design / 10：
A Criterion for PARMC Design / 10.1：
Optimal Systematic PARMC / 10.2：
Conclusions and Some Open Problems / 10.3：
Some Fundamentals on Multirate Filterbank Theory / A：
Some Basic Building Blocks / A.1：
Decimator and Expander / A.1.1：
Noble Identities / A.1.2：
Polyphase Representations / A.1.3：
M-Channel Multirate Filterbanks / A.2：
Maximally Decimated Multirate Filterbanks: Perfect Reconstruction and Aliasing Component Matrix / A.2.1：
Maximally Decimated Multirate Filterbanks: Perfect Reconstruction and Polyphase Matrix / A.2.2：
Perfect Reconstruction FIR Multirate Filterbank Factorization and Construction / A.3：
Factorization of FIR Polyphase Matrices with FIR Inverses / A.3.1：
Factorization of Paraunitary FIR Matrix Polynomials / A.3.2：
Perfect Reconstruction Multirate Filterbank Design / A.3.3：
DFT and Cosine Modulated Filterbanks / A.4：
DFT Filterbanks / A.4.1：
Cosine Modulated Filterbanks / A.4.2：
Bibliography
Index
Series Introduction / K. J. Ray Liu
Preface
Introduction / 1：
56.
図書
R. Jakobi
出版情報:
Weinheim : Wiley-VCH, c2001 ix, 168 p. ; 25 cm
子書誌情報:
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Preface
The "Main Group Elements" of Marketing / 1：
Understanding Marketing / 1.1：
Identifying Markets / 1.2：
Positioning / 1.3：
Differentiation / 1.4：
The Marketing Mix / 1.5：
The Demand / 1.6：
Analyzing the Market / 1.7：
Developing Marketing Strategies / 1.8：
Implementation / 1.9：
Two Marketing Assistants for the Engineer / 1.10：
The Principles of Business-to-Business Marketing / 2：
Definitions / 2.1：
Differentiation from other Marketing Areas / 2.2：
The Nature of Products / 2.2.1：
The Nature of Customers / 2.2.2：
The Transaction Channels / 2.2.3：
Communication / 2.2.4：
Price Policy / 2.2.5：
Buying Behavior / 2.3：
Reasons for Buying / 2.4：
The Process of Buying / 2.5：
Psychological Aspects / 2.6：
The International Market Structure of the Chemical Industry / 3：
Production Sites and Resources / 3.1：
Fundamental Characteristics of Key Branches / 3.2：
The Agrochemical Industry / 3.2.1：
The Pharmaceutical Industry / 3.2.2：
The Biotechnology and Gene Technology Industries / 3.2.3：
The Commodities Industry / 3.2.4：
The Chemical Specialties Industry / 3.2.5：
The Engineering Industry / 3.2.6：
Customers and Users / 3.3：
Distribution Channels / 3.4：
The Economic, Political and Sociological Environment / 4：
Dependence on Oil and Gas Markets / 4.1：
Legal Restrictions and Policy Making / 4.2：
Lobbying of Interest Groups / 4.3：
Image Problems and Societal Acceptance / 4.4：
Marketing Chemical Engineering Projects / 5：
Marketing Chemical Plants / 5.1：
Marketing Green Technology / 5.2：
Marketing Chemical Commodities / 6：
Gases / 6.1：
Oil / 6.2：
Pulp and Paper / 6.3：
Fibers / 6.4：
Fertilizers / 6.5：
Chlorine / 6.6：
Plastics and Rubbers / 7：
Polyolefins / 7.1：
Polystyrenes / 7.2：
Polyvinyl Chloride / 7.3：
Unsaturated Polyesters / 7.4：
Polyurethane Foams / 7.5：
Polyethylene Terephthalate Resins / 7.6：
Polyethylene Terephthalate Films / 7.6.1：
Polyethylene Terephthalate Fibers / 7.6.2：
Rubbers / 7.7：
Natural Rubber / 7.7.1：
Synthetic Rubber / 7.7.2：
Styrene-Based Thermoplastic Elastomers / 7.7.3：
Specialty Chemicals / 8：
Coatings and Varnishes / 8.1：
Textile Dyes / 8.2：
Corrosion Inhibitors / 8.3：
Chemicals for Electronics / 8.4：
Catalysts / 8.5：
Plastic Additives / 8.6：
Biocides / 8.7：
Specialty Polymers / 8.8：
Cosmetics / 8.9：
The Agricultural Business / 9：
General Trends / 9.1：
Pesticides, Herbicides, and Fungicides / 9.2：
Genetically Modified Seeds / 9.3：
Plants as Chemical Reactors / 9.4：
Functional Food / 9.5：
Legal Aspects / 9.6：
Marketing Pharmaceuticals / 10：
Demographic and Social Factors / 10.1：
Changing the Marketing Paradigm / 10.2：
New Market Segments / 10.3：
New Competitors / 10.4：
Developing a New Drug / 10.5：
Pre-Marketing / 10.6：
Relaunch of Pharmaceuticals / 10.7：
Electronic Commerce in the Chemical Industry / 10.8：
The Significance of E-Commerce in Marketing / 11.1：
Virtual Chemical Marketplaces / 11.2：
Emerging Markets / 12：
The Baku Oil Dorado / 12.1：
Business in China / 12.2：
Outlook / 13：
General References / 14：
Index / 15：
Preface
The "Main Group Elements" of Marketing / 1：
Understanding Marketing / 1.1：
57.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2001
子書誌情報:
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58.
図書
Michael Schumacher
目次情報:
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Introduction / 1：
Positioning / Part I：
Multi-Agent Systems / 2：
What Is an Autonomous Agent? / 2.1：
Definitions / 2.2.1：
Autonomyand Embodiment / 2.2.2：
Generic Agent Architectures / 2.2.3：
Characteristics of MASs / 2.3：
Modeling MASs / 2.4：
Objective Coordination / 2.4.1：
Subjective Coordination / 2.4.2：
Emergence / 2.4.3：
Our Target Class of MASs / 2.5：
A Generic Model for an Autonomous Agents' System / 2.5.1：
A Typical Application: Gathering Agents / 2.5.2：
Implementing MAS Applications / 2.6：
Languages for MAS Applications / 2.6.1：
Methodologies for MAS Applications / 2.6.2：
Using Coordination Models and Languages for DesigningandImplementingMASs / 2.6.3：
Coordination Models and Languages / 3：
What Is Coordination? / 3.1：
What Are Coordination Models and Languages? / 3.2：
Motivation / 3.2.1：
Key Elements / 3.2.2：
Data-Driven Coordination Models / 3.3：
Linda / 3.3.1：
Linda Based Models / 3.3.2：
Models Based on Multiset Rewriting / 3.3.3：
Process-Oriented Coordination Models / 3.4：
IWIM / 3.4.1：
Other Approaches / 3.4.2：
Hybrid Coordination Models / 3.5：
Prerequisites for a Coordination Model and Language / 3.6：
ECM and Its Instances / Part II：
The ECM Coordination Model / 4：
Blop / 4.1：
Process / 4.3：
Ports and Connections / 4.4：
Port Features / 4.4.1：
Connections / 4.4.2：
Port Matching / 4.5：
Events / 4.6：
ECM Instances / 4.7：
The STL Coordination Language / 5：
Blops / 5.1：
Processes / 5.3：
The STL+-+ Coordination Language / 5.4：
DesignDecisions / 6.1：
An Overview / 6.1.2：
Creationand Destruction ofPorts / 6.2：
Basic Port Types andTheir Connections / 6.4.3：
PortMatching / 6.5：
A Tutorial Example / 6.6：
The Restaurant of Dining Philosophers / 6.7.1：
General Description of the Implementation / 6.7.2：
The Restaurant Blop and the Waiter Agent / 6.7.3：
The Philosophers / 6.7.4：
Implementation of a Prototype / 6.8：
PT-PYM / 6.8.1：
Concurrency and Object-Orientation Integration / 6.8.3：
BlopsandAgents / 6.8.4：
Ports and Port Managers / 6.8.5：
Matching / 6.8.6：
Connection Setup / 6.8.7：
Discussion / 6.8.8：
STL+-+ as a Coordination Language / 6.9.1：
STL++ for MASs / 6.9.2：
The Agent&Co Coordination Language / 7：
Agents / 7.1：
Ports andConnections / 7.4：
Implementation / 7.5：
Case Studies in STL++ / Part III：
Collective Robotics Simulation / 8：
GlobalStructure / 8.1：
init Agent / 8.3：
Sub-environment Blops / 8.4：
init SimRobot Agent, New SimRobot_Evt Event / 8.5：
SimRobot Agent / 8.6：
subEnv Agent / 8.7：
taxi Agent / 8.8：
Trading System Simulation / 9：
The Trade World Blop / 9.1：
The Brokers and the Broker Assistants / 9.3：
The Trade Manager / 9.4：
Transactions / 9.5：
Conclusion / 10：
Core STL++ Interfaces / A：
World Class / A.1：
Blop Class / A.2：
Agent Class / A.3：
Port Template Classes / A.4：
KK Stream Ports / A.4.1：
S-Stream Ports / A.4.2：
Blackboard Ports / A.4.3：
Group Ports / A.4.4：
Event Class / A.5：
Condition Classes / A.6：
Macros and Miscellaneous Functions / A.7：
STL Code Example / B：
Linda, Gamma and Manifold Code Examples / C：
Bibliography
Introduction / 1：
Positioning / Part I：
Multi-Agent Systems / 2：
59.
ＥＢ
Michael Schumacher
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2001
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Introduction / 1：
Positioning / Part I：
Multi-Agent Systems / 2：
What Is an Autonomous Agent? / 2.1：
Definitions / 2.2.1：
Autonomyand Embodiment / 2.2.2：
Generic Agent Architectures / 2.2.3：
Characteristics of MASs / 2.3：
Modeling MASs / 2.4：
Objective Coordination / 2.4.1：
Subjective Coordination / 2.4.2：
Emergence / 2.4.3：
Our Target Class of MASs / 2.5：
A Generic Model for an Autonomous Agents' System / 2.5.1：
A Typical Application: Gathering Agents / 2.5.2：
Implementing MAS Applications / 2.6：
Languages for MAS Applications / 2.6.1：
Methodologies for MAS Applications / 2.6.2：
Using Coordination Models and Languages for DesigningandImplementingMASs / 2.6.3：
Coordination Models and Languages / 3：
What Is Coordination? / 3.1：
What Are Coordination Models and Languages? / 3.2：
Motivation / 3.2.1：
Key Elements / 3.2.2：
Data-Driven Coordination Models / 3.3：
Linda / 3.3.1：
Linda Based Models / 3.3.2：
Models Based on Multiset Rewriting / 3.3.3：
Process-Oriented Coordination Models / 3.4：
IWIM / 3.4.1：
Other Approaches / 3.4.2：
Hybrid Coordination Models / 3.5：
Prerequisites for a Coordination Model and Language / 3.6：
ECM and Its Instances / Part II：
The ECM Coordination Model / 4：
Blop / 4.1：
Process / 4.3：
Ports and Connections / 4.4：
Port Features / 4.4.1：
Connections / 4.4.2：
Port Matching / 4.5：
Events / 4.6：
ECM Instances / 4.7：
The STL Coordination Language / 5：
Blops / 5.1：
Processes / 5.3：
The STL+-+ Coordination Language / 5.4：
DesignDecisions / 6.1：
An Overview / 6.1.2：
Creationand Destruction ofPorts / 6.2：
Basic Port Types andTheir Connections / 6.4.3：
PortMatching / 6.5：
A Tutorial Example / 6.6：
The Restaurant of Dining Philosophers / 6.7.1：
General Description of the Implementation / 6.7.2：
The Restaurant Blop and the Waiter Agent / 6.7.3：
The Philosophers / 6.7.4：
Implementation of a Prototype / 6.8：
PT-PYM / 6.8.1：
Concurrency and Object-Orientation Integration / 6.8.3：
BlopsandAgents / 6.8.4：
Ports and Port Managers / 6.8.5：
Matching / 6.8.6：
Connection Setup / 6.8.7：
Discussion / 6.8.8：
STL+-+ as a Coordination Language / 6.9.1：
STL++ for MASs / 6.9.2：
The Agent&Co Coordination Language / 7：
Agents / 7.1：
Ports andConnections / 7.4：
Implementation / 7.5：
Case Studies in STL++ / Part III：
Collective Robotics Simulation / 8：
GlobalStructure / 8.1：
init Agent / 8.3：
Sub-environment Blops / 8.4：
init SimRobot Agent, New SimRobot_Evt Event / 8.5：
SimRobot Agent / 8.6：
subEnv Agent / 8.7：
taxi Agent / 8.8：
Trading System Simulation / 9：
The Trade World Blop / 9.1：
The Brokers and the Broker Assistants / 9.3：
The Trade Manager / 9.4：
Transactions / 9.5：
Conclusion / 10：
Core STL++ Interfaces / A：
World Class / A.1：
Blop Class / A.2：
Agent Class / A.3：
Port Template Classes / A.4：
KK Stream Ports / A.4.1：
S-Stream Ports / A.4.2：
Blackboard Ports / A.4.3：
Group Ports / A.4.4：
Event Class / A.5：
Condition Classes / A.6：
Macros and Miscellaneous Functions / A.7：
STL Code Example / B：
Linda, Gamma and Manifold Code Examples / C：
Bibliography
Introduction / 1：
Positioning / Part I：
Multi-Agent Systems / 2：
60.
学位
by Madhu Sudan Saha
出版情報:
東京 : 東京工業大学, 2001
子書誌情報:
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61.
図書
Steen Krenk
出版情報:
Berlin : Springer, c2001 iiiv, 245 p. ; 24 cm
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Introduction / 1：
F orce systems / 1.1：
Equilibrium / 1.2：
Supports and reactions / 1.3：
Internal forces / 1.4：
Principle of virtual work / 1.5：
Stress, strain and elasticity / 1.6：
Summary / 1.7：
Exercises / 1.8：
Beams / 2：
The mechanics of beam bending / 2.1：
Diferential equations of beam bending / 2.2：
Statically determinate beams / 2.3：
Virtual work and beam displacements / 2.4：
Statically indeterminate beams / 2.5：
The beam bending element / 2.6：
Shear lexibility / 2.7：
Beams on elastic foundation / 2.8：
Inertial forces and beam vibrations / 2.9：
Columns / 2.10：
Beam with normal force / 3.1：
Ideal straight columns / 3.2：
Imperfect columns / 3.3：
Bending of beam-columns / 3.4：
The `Elastica' / 3.5：
Cables / 3.6：
The suspended cable / 4.1：
Shallow cable theory / 4.2：
Static load on a cable / 4.3：
Shallow cable dynamics / 4.4：
References / 4.5：
Beam load cases / Appendix A：
Integration formulas / Appendix B：
Index
Introduction / 1：
F orce systems / 1.1：
Equilibrium / 1.2：
62.
図書
edited by Ellis Cumberbatch, Alistair Fitt
出版情報:
Cambridge : Cambridge University Press, 2001 xv, 299 p. ; 23 cm
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Contributors
Preface
Introduction
Mathematical Preliminaries / 0：
The Continuum Model / 0.1：
Conservation Laws / 0.1.1：
Diffusion / 0.2：
Flow and Deformation of Solids and Fluids / 0.3：
Equations of Motion / 0.3.1：
Incompressible Linear Viscous Fluid / 0.4：
Inviscid Incompressible Fluid / 0.4.1：
Inviscid Incompressible Irrotational Flow / 0.4.2：
Compressible Viscous Flow / 0.4.3：
Compressible Inviscid Flow / 0.4.4：
The Reynolds Number and Flow in a Viscous Boundary Layer / 0.4.5：
Viscous Flow at Low Reynolds Number / 0.4.6：
Viscous Flow in a Thin Layer / 0.4.7：
Linear Elasticity / 0.5：
Summary / 0.6：
References
Fluid-Mechanical Modelling of the Scroll Compressor / 1：
Leakage between Chambers / 1.1：
Governing Equations and Boundary Conditions / 1.2.1：
Dimensionless Parameters / 1.2.2：
Dimensionless Equations / 1.2.3：
Solution in the Quasi-Steady Limit / 1.2.4：
Conservation Equations for the Chambers / 1.3：
The Coupled Problem / 1.4：
The Small Coupling Limit / 1.4.1：
Numerical Results / 1.5：
Conclusions / 1.6：
Acknowledgements
Determining the Viscosity of a Carbon Paste Used in Smelting / 2：
Continuous Electrode Smelting / 2.1：
Problem Formulation / 2.2：
Simplified Analysis / 2.3：
Corner Solutions / 2.3.1：
Special Geometries / 2.4：
Further Analysis of the Velocity Test / 2.4.1：
Analysis of the Viscometer Test / 2.4.2：
Analysis of the Plasticity Test / 2.4.3：
The Boundary Layer at the Base of the Sample / 2.4.4：
Numerical Analysis and Results / 2.5：
Finite-Element Method / 2.5.1：
Results / 2.5.2：
Final Conclusions / 2.6：
Acknowledgement
The Vibrating Element Densitometer / 3：
Resonance / 3.1：
Added Mass Model / 3.3：
Fluid--Plate Model / 3.4：
Plate Equation / 3.4.1：
Fluid Equation / 3.4.2：
Fluid--Plate Interaction / 3.4.3：
Simple Analysis: Incorrect Boundary Conditions / 3.5：
Solution with Clamped Boundary Conditions / 3.6：
Remarks / 3.7：
Appendix
Acoustic Emission from Damaged FRP-Hoop-Wrapped Cylinders / 4：
Problem Description / 4.1：
Problem Solution / 4.3：
Further Analysis / 4.4：
Conclusion / 4.5：
Modelling the Cooking of a Single Cereal Grain / 5：
The Problem / 5.1：
Background / 5.3：
Heating a Single Grain / 5.4：
Sphere / 5.4.1：
Ellipsoid / 5.4.2：
Timescales for Wetting and Heating--Linear Models / 5.5：
Wetting the Grains--a Nonlinear Model / 5.6：
Numerical Solutions / 5.6.1：
Analytic Solutions--Mean Action Time / 5.6.2：
Log Mean Diffusivity / 5.6.3：
Degree of Overcook for the Present Process / 5.6.4：
Temperature Dependence of Wetting Times / 5.7：
Sensitivity Analysis / 5.8：
Conclusions and Further Extensions / 5.9：
Epidemic Waves in Animal Populations: A Case Study / 6：
History of RHD and its Introduction into New Zealand / 6.1：
What is Known about the Disease / 6.2：
What We Want to Know / 6.3：
The Modelling. Analytical/Numerical / 6.4：
Case: No Immunity (R(x, t) = 0) and No Breeding (a = 0) / 6.4.1：
Case: No Immunity (R(x, t) = 0) But Breeding Season (a [not equal] 0) / 6.4.2：
Parameter Values / 6.4.3：
Immunity / 6.5：
Results and Conclusions / 6.6：
Further Work / 6.7：
Dynamics of Automotive Catalytic Converters / 7：
Model Equations / 7.1：
Single-Oxidand Model and Nondimensionalization / 7.3：
Asymptotic Analysis of the Single-Oxidand Model / 7.4：
Warm-up Behavior / 7.4.1：
Light-off Behavior / 7.4.2：
Numerical Methods and Results / 7.5：
Further Analysis of the Single-Oxidand Model / 7.6：
Concluding Remarks / 7.7：
Analysis of an Endothermic Reaction in a Packed Column / 8：
The Problem and the Model / 8.1：
Analysis / 8.3：
Discussion / 8.4：
Further Modelling Considerations / 8.5：
Simulation of the Temperature Behaviour of Hot Glass during Cooling / 9：
Cooling of Glass / 9.1：
Mathematical Formulation of the Problem / 9.2：
Heat and Radiative Transfer Equations / 9.2.1：
Modelling of the Boundary Conditions for the Heat Transfer Equation / 9.2.2：
Numerical Solution Methods / 9.3：
The Heat Transfer Equation / 9.3.1：
Ray Tracing / 9.3.2：
A Diffusion Approximation / 9.3.3：
Two-Scale Analysis / 9.3.4：
Numerical Simulation and Results / 9.4：
Conclusions and Further Questions / 9.5：
Water Equilibration in Vapor-Diffusion Crystal Growth / 10：
Formulation / 10.1：
Analytical Treatment / 10.3：
Geometry / 10.3.1：
Method of Multiple Timescales / 10.3.2：
Solution / 10.3.3：
Numerical Approach / 10.4：
Modelling of Quasi-Static and Dynamic Load Responses of Filled Viscoelastic Materials / 10.5：
Nonlinear Extension Models, Experiments and Results / 11.1：
Neo-Hookean Extension Models / 11.2.1：
Approximation of Nonlinear Constitutive Laws / 11.2.2：
Nonlinear and Hysteretic Models, Experiments and Results / 11.3：
Quasi-Static Hysteresis Loops / 11.3.1：
A Dynamic Model with Hysteresis / 11.3.2：
A Gasdynamic-Acoustic Model of a Bird Scare Gun / 11.4：
Model / 12.1：
Pot / 12.2.1：
Jet / 12.2.3：
Pipe / 12.2.4：
Radiated Field / 12.2.5：
Nonlinear Correction in the Pipe / 12.2.6：
Conclusions and Suggestions for Further Work / 12.3：
Paper Tension Variations in a Printing Press / 13：
Problem Definition / 13.1：
Printing Presses / 13.2：
Modelling / 13.3：
Motion over a Roller / 13.3.1：
Motion in a Span / 13.3.2：
The N-Roller Start-up Problem / 13.4：
Index / 13.5：
Contributors
Preface
Introduction
63.
図書
Daniel L. Lau, Gonzalo R. Arce
目次情報:
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Series Introduction
Preface
Acknowledgement
Introduction / 1：
AM Digital Halftoning / 1.1：
Screen Frequency / 1.1.1：
Dot Shape / 1.1.2：
Screen Angle / 1.1.3：
FM Digital Halftoning / 1.2：
AM-FM Hybrids / 1.3：
Why Modern Digital Halftoning? / 1.3.1：
Halftone Statistics / 2：
Point Processes / 2.1：
Spatial Statistics / 2.2：
Spectral Statistics / 2.3：
Halftone Visibility / 2.4：
Blue-Noise Dithering / 3：
Spatial and Spectral Characteristics / 3.1：
Error Diffusion / 3.1.1：
Eliminating Unwanted Textures / 3.2.1：
Edge Enhancement / 3.2.2：
Direct Binary Search / 3.3：
Blue-Noise Masks / 4：
BIPPSMA / 4.1：
Simulated Annealing / 4.2：
Void and Cluster / 4.3：
Printers: Distortions and Models / 5：
Printer Distortion / 5.1：
Dot Gain / 5.1.1：
Dot Loss / 5.1.2：
Dot Models / 5.2：
Physical Models / 5.2.1：
Statistical Models / 5.2.2：
Corrective Measures / 5.3：
Tone Correction / 5.3.1：
Model Based Halftoning / 5.3.2：
Clustering / 5.3.3：
Green-Noise Dithering / 6：
EDODF / 6.1：
Adaptive Hysteresis / 6.2.1：
Green-Noise Masks / 7：
BIPPCCA / 7.1：
Pattern Robustness Using BIPPCCA / 7.1.1：
Constructing the Green-Noise Mask / 7.1.2：
Optimal Green-Noise Masks / 7.2：
Color Printing / 8：
RGB, CMY and CMYK / 8.1：
RGB / 8.1.1：
CMY / 8.1.2：
CMYK / 8.1.3：
Statistics / 8.2：
Generalized Error Diffusion / 8.3：
Multi-channel Green-Noise Masks / 8.4：
Color BIPPCCA / 8.4.1：
Conclusions / 9：
Bibliography
List of Figures
Index
Series Introduction
Preface
Acknowledgement
64.
ＥＢ
Wolfram Koch, Max C. Holthausen
出版情報:
Wiley Online Library - AutoHoldings Books , 2001
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Foreword
Preface
Preface to the second edition
The Definition of the Model / Part A：
Elementary Quantum Chemistry / 1：
The Schrodinger Equation / 1.1：
The Variational Principle / 1.2：
The Hartree-Fock Approximation / 1.3：
The Restricted and Unrestricted Hartree-Fock Models / 1.4：
Electron Correlation / 1.5：
Electron Density and Hole Functions / 2：
The Electron Density / 2.1：
The Pair Density / 2.2：
Fermi and Coulomb Holes / 2.3：
The Fermi Hole / 2.3.1：
The Coulomb Hole / 2.3.2：
The Electron Density as Basic Variable: Early Attempts / 3：
Does it Make Sense? / 3.1：
The Thomas-Fermi Model / 3.2：
Slater's Approximation of Hartree-Fock Exchange / 3.3：
The Hohenberg-Kohn Theorems / 4：
The First Hohenberg-Kohn Theorem: Proof of Existence / 4.1：
The Second Hohenberg-Kohn Theorem: Variational Principle / 4.2：
The Constrained-Search Approach / 4.3：
Do We Know the Ground State Wave Function in Density Functional Theory? / 4.4：
Discussion / 4.5：
The Kohn-Sham Approach / 5：
Orbitals and the Non-Interacting Reference System / 5.1：
The Kohn-Sham Equations / 5.2：
The Kohn-Sham Potential is Local / 5.3：
The Exchange-Correlation Energy in the Kohn-Sham and Hartree-Fock Schemes / 5.3.2：
Do the Kohn-Sham Orbitals Mean Anything? / 5.3.3：
Is the Kohn-Sham Approach a Single Determinant Method? / 5.3.4：
The Unrestricted Kohn-Sham Formalism / 5.3.5：
On Degeneracy, Ensembles and other Oddities / 5.3.6：
Excited States and the Multiplet Problem / 5.3.7：
The Quest for Approximate Exchange-Correlation Functionals / 6：
Is There a Systematic Strategy? / 6.1：
The Adiabatic Connection / 6.2：
From Holes to Functionals / 6.3：
The Local Density and Local Spin-Density Approximations / 6.4：
The Generalized Gradient Approximation / 6.5：
Hybrid Functionals / 6.6：
Self-Interaction / 6.7：
Asymptotic Behavior of Exchange-Correlation Potentials / 6.8：
The Basic Machinery of Density Functional Programs / 6.9：
Introduction of a Basis: The LCAO Ansatz in the Kohn-Sham Equations / 7.1：
Basis Sets / 7.2：
The Calculation of the Coulomb Term / 7.3：
Numerical Quadrature Techniques to Handle the Exchange-Correlation Potential / 7.4：
Grid-Free Techniques to Handle the Exchange-Correlation Potential / 7.5：
Towards Linear Scaling Kohn-Sham Theory / 7.6：
The Performance of the Model / Part B：
Molecular Structures and Vibrational Frequencies / 8：
Molecular Structures / 8.1：
Molecular Structures of Covalently Bound Main Group Elements / 8.1.1：
Molecular Structures of Transition Metal Complexes / 8.1.2：
Vibrational Frequencies / 8.2：
Vibrational Frequencies of Main Group Compounds / 8.2.1：
Vibrational Frequencies of Transition Metal Complexes / 8.2.2：
Relative Energies and Thermochemistry / 9：
Atomization Energies / 9.1：
Atomic Energies / 9.2：
Bond Strengths in Transition Metal Complexes / 9.3：
Ionization Energies / 9.4：
Electron Affinities / 9.5：
Electronic Excitation Energies and the Singlet/Triplet Splitting in Carbenes / 9.6：
Electric Properties / 10：
Population Analysis / 10.1：
Dipole Moments / 10.2：
Polarizabilities / 10.3：
Hyperpolarizabilites / 10.4：
Infrared and Raman Intensities / 10.5：
Magnetic Properties / 11：
Theoretical Background / 11.1：
NMR Chemical Shifts / 11.2：
NMR Nuclear Spin-Spin Coupling Constants / 11.3：
ESR g-Tensors / 11.4：
Hyperfine Coupling Constants / 11.5：
Summary / 11.6：
Hydrogen Bonds and Weakly Bound Systems / 12：
The Water Dimer--A Worked Example / 12.1：
Larger Water Clusters / 12.2：
Other Hydrogen Bonded Systems / 12.3：
The Dispersion Energy Problem / 12.4：
Chemical Reactivity: Exploration of Potential Energy Surfaces / 13：
First Example: Pericyclic Reactions / 13.1：
Electrocyclic Ring Opening of Cyclobutene / 13.1.1：
Cycloaddition of Ethylene to Butadiene / 13.1.2：
Second Example: The S[subscript N]2 Reaction at Saturated Carbon / 13.2：
Third Example: Proton Transfer and Hydrogen Abstraction Reactions / 13.3：
Proton Transfer in Malonaldehyde Enol / 13.3.1：
A Hydrogen Abstraction Reaction / 13.3.2：
Fourth Example: H[subscript 2] Activation by FeO[superscript +] in the Gas Phase / 13.4：
Bibliography
Index
Foreword
Preface
Preface to the second edition
65.
図書
Arnold Neumaier
出版情報:
Cambridge ; New York : Cambridge University Press, 2001 viii, 356 p. ; 24 cm
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Preface
The Numerical Evaluation of Expressions / 1.：
Arithmetic Expressions and Automatic Differentiation / 1.1：
Numbers, Operations, and Elementary Functions / 1.2：
Numerical Stability / 1.3：
Error Propagation and Condition / 1.4：
Interval Arithmetic / 1.5：
Exercises / 1.6：
Linear Systems of Equations / 2.：
Gaussian Elimination / 2.1：
Variations on a Theme / 2.2：
Rounding Errors, Equilibration, and Pivot Search / 2.3：
Vector and Matrix Norms / 2.4：
Condition Numbers and Data Perturbations / 2.5：
Iterative Refinement / 2.6：
Error Bounds for Solutions of Linear Systems / 2.7：
Interpolation and Numerical Differentiation / 2.8：
Interpolation by Polynomials / 3.1：
Extrapolation and Numerical Differentiation / 3.2：
Cubic Splines / 3.3：
Approximation by Splines / 3.4：
Radial Basis Functions / 3.5：
Numerical Integration / 3.6：
The Accuracy of Quadrature Formulas / 4.1：
Gaussian Quadrature Formulas / 4.2：
The Trapezoidal Rule / 4.3：
Adaptive Integration / 4.4：
Solving Ordinary Differential Equations / 4.5：
Step Size and Order Control / 4.6：
Univariate Nonlinear Equations / 4.7：
The Secant Method / 5.1：
Bisection Methods / 5.2：
Spectral Bisection Methods for Eigenvalues / 5.3：
Convergence Order / 5.4：
Error Analysis / 5.5：
Complex Zeros / 5.6：
Methods Using Derivative Information / 5.7：
Systems of Nonlinear Equations / 5.8：
Preliminaries / 6.1：
Newton's Method and Its Variants / 6.2：
Further Techniques for Nonlinear Systems / 6.3：
References / 6.5：
Index
Preface
The Numerical Evaluation of Expressions / 1.：
Arithmetic Expressions and Automatic Differentiation / 1.1：
66.
図書
William W. Nazaroff and Lisa Alvarez-Cohen
出版情報:
New York, [N.Y.] : John Wiley, c2001 xiv, 690 p. ; 26 cm
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Fundamentals / I：
Overview / 1：
What Is Environmental Engineering Science? / 1.A：
Domains of Environmental Engineering / 1.B：
Water quality engineering / 1.B.1：
Air quality engineering / 1.B.2：
Hazardous waste management / 1.B.3：
Context and Concepts / 1.C：
Concentrations and other units of measure / 1.C.1：
Material balance / 1.C.2：
Factors governing contaminant concentrations / 1.C.3：
Engineering analysis / 1.C.4：
Control opportunities / 1.C.5：
Environmental regulations / 1.C.6：
Precision and accuracy / 1.C.7：
Magnitudes: Length scales and characteristic times / 1.C.8：
References
Problems
Water, Air, and Their Impurities / 2：
Water and the Hydrosphere / 2.A：
Air and the Atmosphere / 2.B：
Impurities in Environmental Media / 2.C：
Gases dissolved in water / 2.C.1：
Water in air / 2.C.2：
Acids, bases, and the hydrogen ion / 2.C.3：
Inorganic impurities / 2.C.4：
Organic impurities / 2.C.5：
Radionuclides / 2.C.6：
Compounds causing odor, taste, or color / 2.C.7：
Particulate matter / 2.C.8：
Microorganisms / 2.C.9：
Transformation Processes / 3：
Governing Concepts / 3.A：
Stoichiometry / 3.A.1：
Chemical equilibrium / 3.A.2：
Kinetics / 3.A.3：
Phase Changes and Partitioning / 3.B：
Vapor pressure / 3.B.1：
Dissolution of species in water / 3.B.2：
Sorption / 3.B.3：
Acid-Base Reactions / 3.C：
Acid-base reactions and the hydrogen ion / 3.C.1：
pH of pure water / 3.C.2：
Strong and weak acids / 3.C.3：
Carbonate system / 3.C.4：
Oxidation-Reduction Reactions / 3.D：
Oxidation state / 3.D.1：
Corrosion / 3.D.2：
Combustion / 3.D.3：
Atmospheric oxidation processes / 3.D.4：
Microbial reactions / 3.D.5：
Reference
Transport Phenomena / 4：
Basic Concepts and Mechanisms / 4.A：
Contaminant flux / 4.A.1：
Advection / 4.A.2：
Molecular diffusion / 4.A.3：
Dispersion / 4.A.4：
Particle Motion / 4.B：
Drag on particles / 4.B.1：
Gravitational settling / 4.B.2：
Brownian diffusion / 4.B.3：
Mass Transfer at Fluid Boundaries / 4.C：
Mass-transfer coefficient / 4.C.1：
Transport across the air-water interface / 4.C.2：
Transport in Porous Media / 4.D：
Fluid flow through porous media / 4.D.1：
Contaminant transport in porous media / 4.D.2：
Transport and Transformation Models / 5：
Reactor Models / 5.A：
Batch reactor / 5.A.1：
Completely mixed flow reactor (CMFR) / 5.A.2：
Plug-flow reactor (PFR) / 5.A.3：
Advanced examples / 5.A.4：
Beyond Ideal Reactors: General Material-Balance Models / 5.B：
Governing equation / 5.B.1：
Approaches for solving environmental transport problems / 5.B.2：
Applications / II：
Water Quality Engineering / 6：
The Nature of Water Quality Problems / 6.A：
Rivers and streams / 6.A.1：
Lakes and reservoirs / 6.A.2：
Groundwater / 6.A.3：
Oceans and estuaries / 6.A.4：
Overview of Water Quality Regulations and Treatment Systems / 6.B：
Key U.S. federal water regulations / 6.B.1：
Engineered water quality systems / 6.B.2：
Physical Treatment Methods / 6.C：
Sedimentation / 6.C.1：
Filtration through granular media / 6.C.2：
Membrane separation processes / 6.C.3：
Chemical and Physicochemical Treatment Methods / 6.D：
Disinfection / 6.D.1：
Coagulation and flocculation / 6.D.2：
Sorption of organic molecules / 6.D.3：
Chemical precipitation and ion exchange / 6.D.4：
Biological Wastewater Treatment / 6.E：
Activated sludge / 6.E.1：
Trickling filters / 6.E.2：
Anaerobic digestion of wastewater sludges / 6.E.3：
Air Quality Engineering / 7：
Nature of Air Pollution Problems / 7.A：
Criteria pollutants / 7.A.1：
Hazardous air pollutants / 7.A.2：
Acid deposition / 7.A.3：
Photochemical smog / 7.A.4：
Indoor air quality / 7.A.5：
Global change / 7.A.6：
Air Pollutant Emissions and Controls / 7.B：
Characterizing emissions / 7.B.1：
Pollutant generation by combustion / 7.B.2：
Motor vehicle emissions / 7.B.3：
Treatment Technologies / 7.C：
Particle control devices / 7.C.1：
Absorption for gaseous pollutant control / 7.C.2：
Air Quality Models / 7.D：
Summary of modeling approaches / 7.D.1：
Gaussian plume dispersion modeling / 7.D.2：
Hazardous Waste Management / 8：
History and case studies / 8.A：
Hazardous waste regulatory framework / 8.A.2：
Magnitude of the hazardous waste problem / 8.A.3：
Sources of hazardous wastes / 8.A.4：
Hazardous Waste Minimization / 8.B：
What is waste minimization? / 8.B.1：
Why should we do it? / 8.B.2：
Techniques for waste minimization / 8.B.3：
Management tools / 8.B.4：
Hazardous Waste Treatment Processes / 8.C：
Physical separation / 8.C.1：
Chemical treatment / 8.C.2：
Thermal treatment / 8.C.3：
Biological treatment / 8.C.4：
Hazardous Waste Disposal / 8.D：
Landfills / 8.D.1：
Deep-well injection / 8.D.2：
Environmental Releases and Remediation / 8.E：
Site characterization / 8.E.1：
Quantitative risk analysis / 8.E.2：
Site remediation / 8.E.3：
Appendices
Basic Data for Environmental Engineering Science / A：
Primer on Ionizing Radiation / B：
Primer on Environmental Organic Chemicals / C：
Pure hydrocarbons / C.1：
Oxygenated organic compounds / C.2：
Organohalides / C.3：
Organic compounds containing sulfur or nitrogen / C.4：
Problem Solving: Mathematics for Environmental Engineering / D：
Ordinary differential equations / D.1：
First-order linear equation with constant coefficients / D.1.a：
Coupled first-order ordinary differential equations / D.1.b：
Introduction to the numerical solution of ordinary differential equations / D.1.c：
Partial differential equations that arise in transport problems / D.2：
Solving equilibrium problems: Roots of nonlinear algebraic equations / D.3：
Data manipulation on a logarithmic scale / D.4：
Linear regression / D.5：
A Further Look at Transformation Processes / E：
Activity / E.1：
Gibbs free energy and equilibrium constants / E.2：
Electrode potentials and free-energy change in redox reactions / E.3：
Activation energy and the temperature dependence of reaction rates / E.4：
United States Federal Regulations for Water and Air Quality / F：
Index
Fundamentals / I：
Overview / 1：
What Is Environmental Engineering Science? / 1.A：
67.
ＥＢ
Clemens Adelmann
出版情報:
SpringerLink Books - AutoHoldings , Springer Berlin / Heidelberg, 2001
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Introduction / 1：
Decomposition Laws / 2：
Foundations of Prime Ideal Decomposition / 2.1：
Decomposition in Abelian Extensions / 2.2：
Density Statements / 2.3：
Elliptic Curves / 3：
Defining Equations / 3.1：
Addition on Elliptic Curves / 3.2：
Division Polynomials / 3.3：
Torsion Points / 3.4：
l-adic Representations / 3.5：
Reduction Modulo p and L-Series / 3.6：
Elliptic Modular Curves / 4：
Modular Curves / 4.1：
Modular Forms / 4.2：
Hecke Operators / 4.3：
The Eichler-Shimura Formula / 4.4：
Torsion Point Fields / 5：
The Groups GL(2,n) / 5.1：
Decomposition in 2- and 3-Torsion Point Fields / 5.2：
Decomposition in 4-Torsion Point Fields / 5.5：
Invariants and Resolvent Polynomials / 5.6：
Foundations of Galois Theory / 6.1：
Procedure for the Description of Subfields / 6.2：
Invariant Algebras / 6.3：
Application to 4-Torsion Point Fields / 6.4：
Appendices
Invariants of Elliptic Modular Curves / A：
Fully Decomposed Prime Numbers / B：
Resolvent Polynomials / D：
Free Resolution of the Invariant Algebra / E：
References
Symbols
Introduction / 1：
Decomposition Laws / 2：
Foundations of Prime Ideal Decomposition / 2.1：
68.
図書
Rainer Friedrich and Peter Bickel (eds.)
出版情報:
Berlin ; Tokyo : Springer-Verlag, c2001 xvi, 326 p. ; 25 cm
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Preface
Contents
List of Authors
Introduction / 1：
The Impact Pathway Methodology / 2：
Guiding Principles in the Development of the ExternE Methodology / 2.1：
Quantification of Impacts / 2.2：
Economic Valuation / 2.3：
Assessment of Uncertainty / 2.4：
Priority Impact Pathways / 2.5：
Emission Calculation / 3：
Road Transport / 3.1：
Rail Transport / 3.2：
Inland Shipping Transport / 3.3：
Steady State Operation / 3.3.1：
Non Steady State Operation / 3.3.2：
Aircraft Transport / 3.4：
Atmospheric Transport Modelling / 4：
Local Scale / 4.1：
Gaussian Dispersion Modelling21 / 4.1.1：
The ROADPOL Model / 4.1.2：
Ozone / 4.1.3：
Regional Scale / 4.2：
Reactive and Non-Reactive Pollutants / 4.2.1：
Global Scale (Ozone) / 4.2.2：
Validation of Dispersion Modelling / 4.4：
Health Effects: Exposure-Response Functions / 5：
Summary of Methods / 5.1：
Representation of Particles / 5.3：
The Gaseous Pollutants / 5.3.1：
CO / 5.4.1：
Conversion Factors From ppb to Gravimetric Units / 5.4.4：
E-R Functions for a European Implementation / 5.5：
Can the Same Functions be Used throughout Europe, without Serious Error? / 5.5.1：
Transferring E-R Functions from North America / 5.5.2：
Thresholds / 5.6：
'Chronic' Mortality: Effects as Estimated from Cohort Studies / 5.7：
Chronic Mortality and Particles: Is there a Causal Relationship? / 5.7.1：
Choice of Study and E-R Function for Quantification / 5.7.2：
Estimating Years of Life Lost (YOLL) / 5.7.3：
Estimating Costs / 5.7.4：
Other E-R Functions for the Classical Pollutants / 5.8：
Implementation / 5.8.1：
Acute Mortality / 5.8.2：
Respiratory Hospital Admissions / 5.8.3：
Cardiovascular Hospital Admissions / 5.8.4：
Emergency Room Visits (ERVs) / 5.8.5：
Restricted Activity Days (RADs) / 5.8.6：
Acute Effects in Asthmatics / 5.8.7：
Respiratory Symptoms in the General Population / 5.8.8：
Chronic Morbidity in Adults / 5.8.9：
Chronic Morbidity in Children / 5.8.10：
Additivity across Health Endpoints / 5.9：
Other Pollutants, especially Carcinogens: Methodology / 5.10：
Introductory Remarks / 5.10.1：
Objectives of the Evaluation / 5.10.2：
Unit Risk Factors for the Occurrence of Cancer / 5.10.3：
Reliability of Scientific Evidence Underlying URFs / 5.10.4：
The Approach of the US Environmental Protection Agency (EPA) / 5.10.5：
Summary Evaluations of various Transport-Related Pollutants / 5.11：
Benzene / 5.11.1：
1,3 Butadiene / 5.11.2：
Polycyclic Aromatic Hydrocarbons (PAHs) / 5.11.3：
Diesel Exhaust Particulates / 5.11.4：
Formaldehyde / 5.11.5：
Acetaldehyde and Other Aldehydes / 5.11.6：
Ethylene Oxide/ Ethene / 5.11.7：
MTBE (Methyl Tertiary-Butyl Ether) / 5.11.8：
Volatile Organic Compounds (VOCs), as a Mixture / 5.11.9：
Lead / 5.11.10：
Platinum and Related Compounds / 5.11.11：
Some Remarks on YOLL and Latency / 5.12：
Concluding Remarks / 5.13：
Impacts on Building Materials / 6：
Degradation of Building Materials / 6.1：
Damage Mechanisms / 6.1.1：
Dose-Response Functions / 6.1.2：
Soiling of Building Materials / 6.2：
Soiling Mechanisms / 6.2.1：
Combination of Degradation and Soiling Effects / 6.2.2：
Impacts on Terrestrial Ecosystems / 7：
Impacts Linked to Direct Effects on Ecosystem Structure / 7.1：
Loss of Habitat / 7.2.1：
Networks and Habitat Fragmentation / 7.2.2：
Expenditure on Protection of Semi-Natural Habitats / 7.2.3：
Impacts Linked to Management of the Transport System / 7.3：
Roadside Verges and Rail Margins / 7.3.1：
De-Icing / 7.3.2：
Impacts Linked to Use of the Transport System / 7.4：
Impacts on Semi-Natural Vegetation / 7.4.1：
Animal Mortality / 7.4.2：
Conclusions and Further Information / 7.5：
Economic Valuation, Sustainability Indicators and Alternative Assessment Techniques / 8：
Monetary Valuation: Mortality Risks / 8.1：
Background Methodology / 8.1.1：
Empirical Evidence / 8.1.2：
Measurement of the Cost Per Life Saved (CPLS) / Cost Per Life Year Saved (CPLYS) / 8.1.3：
Discount Rates4 / 8.2：
Revised Morbidity Values / 8.3：
The Helsinki Study / 8.3.1：
The 5-Country Study / 8.3.2：
Testing for Benefit Transfer (BT) across Countries / 8.3.3：
The Strasbourg and Kehl Study / 8.3.4：
New European Estimates of Productivity Loss and Health Services Costs / 8.3.5：
Suggested Revision of Morbidity Estimates / 8.3.6：
Sustainability Indicators / 8.4：
Linking Strong and Weak Sustainability Indicators / 8.4.1：
Comparison of the LCA-Method ECO and Monetary Valuation Method CV / 8.4.3：
Decision Rules / 8.4.4：
Evaluating "Non-Marginal" Changes / 8.5：
Valuing a Change in Welfare: The Case of a Single Affected Market / 8.5.1：
The Indirect Effects of Price Changes / 8.5.3：
General Equilibrium Analysis / 8.6：
Computable General Equilibrium (CGE) Models / 8.6.1：
Input-Output Models / 8.6.3：
When to Use General Equilibrium Analysis / 8.6.4：
Recommendations / 8.6.5：
Incorporating Non-Monetised Impacts into the Decision Making Process / 8.7：
Avoidance Costs / 8.7.1：
Conceptual Framework for Attribute Decision Making / 8.7.3：
Global Warming / 9：
Models / 9.1：
Open Framework / 9.2.1：
FUND 1.6 / 9.2.2：
FUND 2.0 / 9.2.3：
Conventions for Valuation and Reporting / 9.3：
Discounting / 9.3.1：
Aggregation / 9.3.2：
Carbon Dioxide, Methane and Nitrous Oxide / 9.4：
Uncertainty / 9.5：
Ozone and Sulphate Aerosols / 9.6：
Summary of Damage Costs / 9.7：
Treatment of Up- and Downstream Processes / 9.8：
Life Cycle Assessment (LCA) and Impact Pathway Analysis / 10.1：
Simplified Damage Estimates for LCA / 10.2：
The Uniform World Model / 10.3：
Generalisation to Secondary Pollutants / 10.4：
General Remarks / 11：
Methodology for Estimating Uncertainties / 11.2：
Placement of the Confidence Intervals / 11.3：
Alternative Hypotheses about Causes / 11.4：
The Nature of Particulate Matter / 11.4.1：
A Model for Assessing the Uncertainty Due to Composition ofPM / 11.4.2：
Analogies with Smoking / 11.4.3：
Comprehensive Uncertainty / 11.5：
Quantification of Total and Average Externalities (Aggregation) / 12：
Aggregation Issues / 12.1：
Aggregation of Impacts / 12.2：
Aggregation Methodology / 12.3：
Aggregating by Emissions / 12.3.1：
Aggregating by Cost per Kilometre / 12.3.2：
Discussion / 12.3.3：
Economic Aspects / 12.4：
Conclusions / 12.5：
Marginal Costs / 13：
Belgium / 13.1：
Finland / 13.1.1：
France: / 13.2.1：
Germany / 13.3.1：
Greece / 13.4.1：
Marine Transport / 13.5.1：
The Netherlands / 13.6：
Inland Shipping / 13.6.1：
United Kingdom / 13.6.4：
Results of Marginal Cost Case Studies / 13.7.1：
Site-Specific Results / 13.8.1：
Other Modes / 13.8.2：
Costs Including Up- and Downstream Processes / 13.8.5：
Aggregated Costs / 14：
The External Costs of Road Transport in Belgium / 14.1：
Vehicle Statistics / 14.1.1：
Data on External Costs / 14.1.2：
Results and Conclusions / 14.1.3：
The External Costs of Transport in the Netherlands / 14.2：
Other Mobile Sources / 14.2.1：
The External Costs of Road Transport in the UK / 14.2.6：
Road Transport Statistics / 14.3.1：
Road Emission Factors and Damage Costs / 14.3.2：
Results / 14.3.3：
The External Costs of Road Transport in the Federal State of Baden-Wurttemberg, Germany / 14.4：
Emission Scenario / 14.4.1：
Local Damage Estimation / 14.4.2：
Local Exposure Estimates / 14.4.3：
Classification of Road Network Links / 14.4.4：
Regional Range Impacts / 14.4.5：
Policy Case Studies / 14.4.6：
Belgium: Do Policies Cope with Transportation Trends? / 15.1：
The Evolution of the Total Environmental Costs in Belgium / 15.1.1：
Belgium: Taxation of Transportation Fuels and External Costs per Litre of Fuel / 15.1.2：
External Costs per Litre of Petrol and Diesel / 15.2.1：
Comparing External Air Pollution Costs with Prices and Excises / 15.2.2：
Finland: Alternative Fuels in Helsinki City Buses / 15.3：
Background Data on the Helsinki City Bus Traffic / 15.3.1：
Emission Factors / 15.3.2：
Comparison of Total Costs for Diesel and Natural Gas Buses / 15.3.3：
France: Electric versus Conventional Vehicles: Social Costs and Benefits / 15.3.5：
Vehicle Technologies and Costs / 15.4.1：
Emissions and Damage Costs per km / 15.4.2：
Life Cycle Costs/Benefits / 15.4.3：
Germany: Benefits of Introducing CNG-Fuelled Vehicles in the Federal State of Baden-urttemberg / 15.4.4：
Emission Scenarios / 15.5.1：
Implementation and Results / 15.5.2：
Greece: Benefits from Introducing CNG Buses in Athens / 15.5.3：
Preface
Contents
List of Authors
69.
図書
Robert L. Causey
目次情報:
続きを見る
Preface
Introduction
The Subject Matter / 1：
Goals and Organization / 2：
Assumed Background Knowledge / 3：
The Presentation / 4：
Sentential Calculus / Chapter 1.：
Syntax of the Sentential Calculus / 1.1：
Correspondence to Natural Languages / 1.2：
Semantics of the Sentential Calculus / 1.3：
Some Metatheoretical Concepts / 1.4：
Principles for Sentential Calculus Derivations / 1.5：
Adequacy and Use of Sentential Calculus Derivation Rules / 1.6：
Soundness and Completeness / 1.6.1：
Strategies for Constructing Proofs / 1.6.2：
Sentential Calculus Derivation Examples / 1.6.3：
Conjunctive Normal Form and Resolution Proofs / 1.7：
Basic Set Theory / Chapter 2.：
Sets / 2.1：
Extensionality, Predicates, and Abstraction / 2.1.1：
Some Special Sets and Set Operations / 2.1.2：
Relations / 2.2：
General Features / 2.2.1：
Special Kinds of Relations / 2.2.2：
Functions / 2.3：
Basic Ideas / 2.3.1：
Compositions and Inverses / 2.3.2：
Relational Systems / 2.4：
Recursion and Mathematical Induction / Chapter 3.：
The Natural Number System / 3.1：
Peano's Axioms and the Induction Principle / 3.1.1：
Definition by Recursion / 3.1.3：
Basic Arithmetic / 3.2：
Some Simple Functions / 3.2.1：
Additional Arithmetical Definitions / 3.2.2：
Extensions of Recursive Definition and Induction / 3.3：
Some Additional Applications of the Recursion Theorem / 3.3.1：
The Well-Ordering of the Natural Numbers / 3.3.2：
Course of Values Induction / 3.3.3：
Two Arithmetical Algorithms / 3.3.4：
Pitfalls of Recursion / 3.3.5：
Non-Numerical Data / 3.4：
Strings / 3.4.1：
A Simple Treatment of Lists / 3.4.2：
Sentential Calculus Expressions / 3.4.3：
Stacks and Queues / 3.4.4：
Predicate Calculus / Chapter 4.：
Syntax of the Predicate Calculus / 4.1：
Semantical Aspects of the Predicate Calculus / 4.2：
Interpretations and Truth / 4.2.1：
Tautologous Sentences in Predicate Calculus / 4.2.2：
Tautological Consequences in Predicate Calculus / 4.2.3：
Predicate Calculus Derivations / 4.3：
Derivation Rules / 4.3.1：
Proof Strategies and Examples / 4.3.2：
Adequacy of the Predicate Calculus Rules / 4.3.3：
Application Example / 4.4：
Identity and Function Symbols / 4.5：
Extension of the Syntax / 4.5.1：
Semantics of Predicate Calculus with Identity and Function Symbols / 4.5.2：
Derivation Rules for Predicate Calculus with Identity and Function Symbols / 4.5.3：
Use of Identity in Representing Information / 4.5.4：
Formalized Theories / 4.6：
References
Answers to Selected Exercises
The Greek Alphabet / Chapter 1：
Glossary of Symbols
Index
Preface
Introduction
The Subject Matter / 1：
70.
図書
Paul Monk
目次情報:
続きを見る
Series Preface
Preface
Acronyms, Abbreviations and Symbols
About the Author
Explanatory Foreword / 1：
Electroanalysis / 1.1：
Nomenclature and Terminology (IUPAC and Non-IUPAC) / 1.2：
This Book / 1.3：
Reference
Introductory Overview and Discussion of Experimental Methodology / 2：
Overview of the Differences between Equilibrium and Dynamic Measurements / 2.1：
The Magnitude of the Current: Rates of Electron Transfer, Mass Transport, and their Implications / 2.2：
The Implications of Using Diffusive or Convective Control / 2.3：
Equilibrium Measurements: 'Frustrated' Equilibrium with No Net Electron Transfer / 3：
Introduction: What is 'Equilibrium'? Concepts of 'Frustrated' Equilibrium / 3.1：
Revision: emf, Electrode Potentials and the SHE / 3.2：
Terminology and Symbolisms / 3.2.1：
Reference Electrodes / 3.2.2：
The Nernst Equation and its Permutations / 3.3：
Limitations of the Nernst Equation / 3.3.1：
Differences between Concentration and Activity / 3.4：
Brief Discourse on Ion-Ion Interactions / 3.4.1：
Activities / 3.4.2：
Activity Coefficients / 3.4.3：
Revision of Debye-Huckel Theory / 3.4.4：
Applications Based on Calculations with the Nernst Equation / 3.5：
pH Determination and the pH Electrode / 3.5.1：
Ion-Selective Electrodes / 3.5.2：
Potentiometric Determination of Solubility Constants / 3.5.3：
Causes and Treatment of Errors / 3.6：
Current Passage through a Cell Causing Internal Compositional Changes / 3.6.1：
Current Passage through Reference Electrodes / 3.6.2：
Determination of Concentration when the Mean Ionic Activity Coefficient is Unknown / 3.6.3：
Cell Design and the Effects of 'IR Drop' / 3.6.4：
Additional Sources of Potential Owing to Ionic Transport and Junction Potentials / 3.6.5：
Potentiometry: True Equilibrium and Monitoring Systems with Electron Transfer / 4：
Introduction to Potentiometry / 4.1：
Redox Titrations: End Points and Shapes of Curves / 4.1.1：
Determination of Equilibrium Constants and Solubility Constants / 4.1.2：
Redox Indicators / 4.2：
Treatment of Errors / 4.3：
Routine Errors / 4.3.1：
Errors Caused by Low Precision of Volume Determination: Use of Gran Plots / 4.3.2：
Errors Caused by Poor ISE Selectivity / 4.3.3：
Coulometry / 5：
Introduction to Coulometry and Faraday's Laws / 5.1：
Faradaic and Non-Faradaic Charge / 5.1.1：
The Effects of Absorption, Capacitance and the Electrode Double-Layer / 5.1.2：
Stripping / 5.2：
Microelectrodes / 5.3：
Introduction to Electron Mediation / 5.4：
Analysis by Dynamic Measurement, A: Systems under Diffusion Control / 5.5：
Experimental Introduction to Dynamic Electrochemistry / 6.1：
Chronoamperometry: Current Determined with Time / 6.2：
The Nernst Layer ('Depletion' Layer) / 6.2.1：
The Cottrell Equation / 6.2.2：
Polarography at Hg Electrodes / 6.3：
The Polarographic Experiment / 6.3.1：
Polarography: the Dropping-Mercury Electrode / 6.3.2：
Treatment of Polarographic Data: Obtaining E[subscript 1/2] and its Use / 6.3.3：
Determination of Equilibrium Constants: Shifts in E[subscript 1/2] on Complexation / 6.3.4：
Linear-Sweep and Cyclic Voltammetry at Solid Electrodes / 6.4：
The Randles-Sevcik Equation / 6.4.1：
The Effect of Slow Electron Transfer: Semiconducting Electrodes / 6.4.2：
Quantification of Diffusion Phenomena / 6.4.3：
Mechanistic Data from Voltammetry / 6.4.4：
Improving Sensitivity: Pulse Methods / 6.5：
Normal Pulse Voltammetry / 6.5.1：
Differential Pulse Voltammetry / 6.5.2：
Square-Wave Pulse Voltammetry / 6.5.3：
Stripping Voltammetry / 6.6：
The Glucose Sensor: a Worked Example of Voltammetric Analysis / 6.7：
Polarographic 'Peaks' / 6.8：
IR Drop: the Luggin Capillary / 6.8.2：
Analysis by Dynamic Measurement, B: Systems under Convection Control / 7：
Introduction to Convective Systems / 7.1：
The Rotated Disc Electrode / 7.2：
Discussion of the Experiment / 7.2.1：
The Levich Equation / 7.2.2：
Flow Cells, Channel Electrodes and Wall-Jet Electrodes / 7.3：
Flow Cells and Channel Electrodes / 7.3.1：
The Wall-Jet Electrode / 7.3.2：
The Rotated Ring-Disc Electrode / 7.4：
Rate Constants of Electron Transfer / 7.5：
The Tafel Approach to Electrode Kinetics / 7.5.1：
The Butler-Volmer Approach / 7.5.2：
Koutecky-Levich Plots and Measurement of the Rates of Electron Transfer / 7.5.3：
Additional Methods / 7.6：
Spectroelectrochemistry / 8.1：
Introduction: What is Spectroelectrochemistry? / 8.1.1：
Electrochemical UV-Visible Spectroscopy / 8.1.2：
Electrochemical EPR Spectroscopy / 8.1.3：
Electroanalytical Measurements Involving Impedance / 8.2：
What is Impedance? / 8.2.1：
Impedances of Real Cells: Quantification of Diffusion Phenomena and the Warburg Impedance / 8.2.2：
Discontinuities in an OTE Conductor / 8.3：
Total Internal Reflection in UV-Visible Spectroscopy / 8.3.2：
Large Absorbances and the Optical Band Edge / 8.3.3：
Stray EPR Absorptions / 8.3.4：
Electrode Preparation / 9：
Preparation and Characterization of Solid Electrode Surfaces / 9.1：
Cleaning Electrode Surfaces / 9.1.1：
Manufacturing Electrodes / 9.1.2：
Making Reference Electrodes / 9.1.3：
Screen-Printed Electrodes / 9.2：
Data Processing / 10：
Simulation of Electrochemical Data / 10.1：
Sample Programs / 10.1.1：
Simulation Packages / 10.2：
Web-Based Resources / 10.3：
References
Appendices
Named Electroanalysis Equations Used in the Text
Writing a Cell Schematic
The Electrode Potential Series (against the SHE)
Responses to Self-Assessment Questions
Bibliography
Glossary of Terms
SI Units and Physical Constants
Periodic Table
Index
Series Preface
Preface
Acronyms, Abbreviations and Symbols
71.
図書
Gilbert G. Walter, Xiaoping Shen
目次情報:
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Preface to first edition
Preface to second edition
List of Figures
Orthogonal Series / 1：
General theory / 1.1：
Examples / 1.2：
Trigonometric system / 1.2.1：
Haar system / 1.2.2：
The Shannon system / 1.2.3：
Problems / 1.3：
A Primer on Tempered Distributions / 2：
Intuitive introduction / 2.1：
Test functions / 2.2：
Tempered distributions / 2.3：
Simple properties based on duality / 2.3.1：
Further properties / 2.3.2：
Fourier transforms / 2.4：
Periodic distributions / 2.5：
Analytic representations / 2.6：
Sobolev spaces / 2.7：
An Introduction to Orthogonal Wavelet Theory / 2.8：
Multiresolution analysis / 3.1：
Mother wavelet / 3.2：
Reproducing kernels and a moment condition / 3.3：
Regularity of wavelets as a moment condition / 3.4：
More on example 3 / 3.4.1：
Mallat's decomposition and reconstruction algorithm / 3.5：
Filters / 3.6：
Convergence and Summability of Fourier Series / 3.7：
Pointwise convergence / 4.1：
Summability / 4.2：
Gibbs phenomenon / 4.3：
Wavelets and Tempered Distributions / 4.4：
Multiresolution analysis of tempered distributions / 5.1：
Wavelets based on distributions / 5.2：
Distribution solutions of dilation equations / 5.2.1：
A partial distributional multiresolution analysis / 5.2.2：
Distributions with point support / 5.3：
Approximation with impulse trains / 5.4：
Orthogonal Polynomials / 5.5：
Classical orthogonal polynomials / 6.1：
Legendre polynomials / 6.2.1：
Jacobi polynomials / 6.2.2：
Laguerre polynomials / 6.2.3：
Hermite polynomials / 6.2.4：
Other Orthogonal Systems / 6.3：
Self adjoint eigenvalue problems on finite intervals / 7.1：
Hilbert-Schmidt integral operators / 7.2：
An anomaly: the prolate spheroidal functions / 7.3：
A lucky accident? / 7.4：
Rademacher functions / 7.5：
Walsh function / 7.6：
Periodic wavelets / 7.7：
Periodizing wavelets / 7.7.1：
Periodic wavelets from scratch / 7.7.2：
Local sine or cosine basis / 7.8：
Biorthogonal wavelets / 7.9：
Pointwise Convergence of Wavelet Expansions / 7.10：
Reproducing kernel delta sequences / 8.1：
Positive and quasi-positive delta sequences / 8.2：
Local convergence of distribution expansions / 8.3：
Convergence almost everywhere / 8.4：
Rate of convergence of the delta sequence / 8.5：
Other partial sums of the wavelet expansion / 8.6：
Positive scaling functions / 8.7：
A general construction / 8.8.1：
Back to wavelets / 8.8.2：
A Shannon Sampling Theorem in Wavelet Subspaces / 8.9：
A Riesz basis of V[subscript m] / 9.1：
The sampling sequence in V[subscript m] / 9.2：
Examples of sampling theorems / 9.3：
The sampling sequence in T[subscript m] / 9.4：
Shifted sampling / 9.5：
Gibbs phenomenon for sampling series / 9.6：
The Shannon case revisited / 9.6.1：
Irregular sampling in wavelet subspaces / 9.6.2：
Extensions of Wavelet Sampling Theorems / 9.8：
Oversampling with scaling functions / 10.1：
Hybrid sampling series / 10.2：
Positive hybrid sampling / 10.3：
The convergence of the positive hybrid series / 10.4：
Cardinal scaling functions / 10.5：
Interpolating multiwavelets / 10.6：
Orthogonal finite element multiwavelets / 10.7：
Sobolev type norm / 10.7.1：
The mother multiwavelets / 10.7.2：
Translation and Dilation Invariance in Orthogonal Systems / 10.8：
Orthogonal polynomials / 11.1：
An example where everything works / 11.3：
An example where nothing works / 11.4：
Weak translation invariance / 11.5：
Dilations and other operations / 11.6：
Analytic Representations Via Orthogonal Series / 11.7：
Trigonometric series / 12.1：
Hermite series / 12.2：
Legendre polynomial series / 12.3：
Analytic and harmonic wavelets / 12.4：
Analytic solutions to dilation equations / 12.5：
Analytic representation of distributions by wavelets / 12.6：
Wavelets analytic in the entire complex plane / 12.7：
Orthogonal Series in Statistics / 12.8：
Fourier series density estimators / 13.1：
Hermite series density estimators / 13.2：
The histogram as a wavelet estimator / 13.3：
Smooth wavelet estimators of density / 13.4：
Local convergence / 13.5：
Positive density estimators based on characteristic functions / 13.6：
Positive estimators based on positive wavelets / 13.7：
Numerical experiment / 13.7.1：
Density estimation with noisy data / 13.8：
Other estimation with wavelets / 13.9：
Spectral density estimation / 13.9.1：
Regression estimators / 13.9.2：
Threshold Methods / 13.10：
Orthogonal Systems and Stochastic Processes / 13.11：
K-L expansions / 14.1：
Stationary processes and wavelets / 14.2：
A series with uncorrelated coefficients / 14.3：
Wavelets based on band limited processes / 14.4：
Nonstationary processes / 14.5：
Bibliography / 14.6：
Index
Preface to first edition
Preface to second edition
List of Figures
72.
学位
Hao Liu
出版情報:
東京 : 東京工業大学, 2001
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73.
図書
Corneliu Constantinescu
目次情報:
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Introduction
Some Notation and Terminology
Banach Spaces / 1：
Normed Spaces / 1.1：
General Results / 1.1.1：
Some Standard Examples / 1.1.2：
Minkowski's Theorem / 1.1.3：
Locally Compact Normed Spaces / 1.1.4：
Products of Normed Spaces / 1.1.5：
Summable Families / 1.1.6：
Exercises
Operators / 1.2：
Standard Examples / 1.2.1：
Infinite Matrices / 1.2.3：
Quotient Spaces / 1.2.4：
Complemented Subspaces / 1.2.5：
The Topology of Pointwise Convergence / 1.2.6：
Convex Sets / 1.2.7：
The Alaoglu-Bourbaki Theorem / 1.2.8：
Bilinear Maps===== / 1.2.9：
The Hahn-Banach Theorem / 1.3：
The Banach Theorem / 1.3.1：
Examples in Measure Theory / 1.3.2：
The Transpose of an Operator / 1.3.3：
Polar Sets / 1.3.5：
The Bidual / 1.3.6：
The Krein-`mulian Theorem / 1.3.7：
Reflexive Spaces / 1.3.8：
Completion of Normed Spaces / 1.3.9：
Analytic Functions.Exercises / 1.3.10：
Applications of Baire's Theorem / 1.4：
The Banach-Steinhaus Theorem / 1.4.1：
Open Mapping Principle / 1.4.2：
Banach Categories / 1.5：
Definitions / 1.5.1：
Functors / 1.5.2：
Nuclear Maps / 1.6：
Examples / 1.6.1：
Ordered Banach Spaces / 1.7：
Ordered Normed Spaces / 1.7.1：
Order Continuity / 1.7.2：
Name
Index Subject
Index Symbol
Index
Introduction
Some Notation and Terminology
Banach Spaces / 1：
74.
図書
Anatoly N. Kochubei
目次情報:
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Preface
Preliminaries / 1：
Field extensions / 1.1：
Finite fields / 1.2：
Local fields / 1.3：
Polynomials and quadratic forms / 1.4：
Integration and harmonic analysis / 1.5：
Distributions / 1.6：
Homogeneous distributions / 1.7：
Gaussian integrals / 1.8：
Adeles / 1.9：
Fundamental Solutions / 2：
The Riesz kernel / 2.1：
The fractional differentiation operator / 2.2：
The family {D superscript [alpha], [alpha] ] 0} as a semigroup of operators / 2.3：
The fractional differential operator on ideles and zeroes of Riemann's zeta function / 2.4：
Pseudo-differential operators over a local field / 2.5：
Coordinate representation / 2.6：
Fundamental solutions of elliptic operators / 2.7：
Green functions of elliptic operators / 2.8：
Hyperbolic equations / 2.9：
Cauchy problem for an equation of the Schrodinger type / 2.10：
On some models of p-adic quantum theory / 2.11：
Comments / 2.12：
Spectral Theory / 3：
Fractional differentiation operator / 3.1：
An operator of the Schrodinger type / 3.2：
Spectral properties of D superscript [alpha] on open subsets of a local field / 3.3：
An analogue of the Hamiltonian of point interactions / 3.4：
Multiplicative fractional differentiation / 3.5：
Parabolic Equations / 3.6：
An analogue of the heat equation / 4.1：
Probabilistic interpretation / 4.2：
Stabilization / 4.3：
General uniqueness theorem / 4.4：
Fundamental solutions of parabolic equations / 4.5：
Heat equation on a ball / 4.6：
Heat equation on the group of units / 4.7：
On parabolic pseudo-differential equations over R[superscript n] / 4.8：
Construction of Processes / 4.9：
Notations and preliminaries / 5.1：
Stochastic integrals of deterministic functions / 5.2：
Stochastic integrals of random functions / 5.3：
Stochastic differential equations / 5.4：
Rotation-invariant processes with independent increments / 5.5：
The generator and its spectrum / 5.6：
Recurrence and hitting probabilities / 5.7：
Processes on adeles / 5.8：
General stable distributions / 5.9：
Analysis over Infinite Extensions of a Local Field / 5.10：
Measurable vector spaces / 6.1：
An infinite extension as a topological vector space / 6.2：
Measure and integration / 6.3：
Fourier transform and fractional differentiation / 6.4：
Spectrum / 6.5：
Heat equation / 6.6：
Hypersingular integral representation / 6.7：
Processes with Non-Archimedean Time Parameters / 6.8：
Local field Brownian motion / 7.1：
The Wiener process with the p-adic time parameter / 7.2：
Bibliography / 7.3：
Index
Preface
Preliminaries / 1：
Field extensions / 1.1：
75.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Standards , IEEE, 2001
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76.
ＥＢ
出版情報:
IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2001
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77.
図書
Michael Hoy ... [et al.]
出版情報:
Cambridge, Mass. ; London : MIT Press, c2001 xiv, 1129 p. ; 24 cm
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Preface
Introduction and Fundamentals / I：
Introduction / 1：
What Is an Economic Model? / 1.1：
How to Use This Book / 1.2：
Conclusion / 1.3：
Review of Fundamentals / 2：
Sets and Subsets / 2.1：
Numbers / 2.2：
Some Properties of Point Sets in Rn / 2.3：
Functions / 2.4：
Proof, Necessary and Sufficient Conditions * / 2.5：
Sequences, Series, and Limits / 3：
Definition of a Sequence / 3.1：
Limit of a Sequence / 3.2：
Present-Value Calculations / 3.3：
Properties of Sequences / 3.4：
Series / 3.5：
Univariate Calculus and Optimization / II：
Continuity of Functions / 4：
Continuity of a Function of One Variable / 4.1：
Economic Applications of Continuous and Discontinuous Functions / 4.2：
Intermediate-Value Theorem / 4.3：
The Derivative and Differential for Functions of One Variable / 5：
Definition of a Tangent Line / 5.1：
Definition of the Derivative and the Differential / 5.2：
Conditions for Differentiability / 5.3：
Rules of Differentiation / 5.4：
Higher-Order Derivatives: Concavity and Convexity of a Function / 5.5：
Taylor Series Formula and the Mean-Value Theorem / 5.6：
Optimization of Functions of One Variable / 6：
Necessary Conditions for Unconstrained Maxima and Minima / 6.1：
Second-Order Conditions / 6.2：
Optimization over an Interval / 6.3：
Linear Algebra / III：
Systems of Linear Equations / 7：
Solving Systems of Linear Equations / 7.1：
Linear Systems in n-Variables / 7.2：
Matrices / 8：
General Notation / 8.1：
Basic Matrix Operations / 8.2：
Matrix Transposition / 8.3：
Some Special Matrices / 8.4：
Determinants and the Inverse Matrix / 9：
Defining the Inverse / 9.1：
Obtaining the Determinant and Inverse of a 3 x 3 Matrix / 9.2：
The Inverse of an n x n Matrix and Its Properties / 9.3：
Cramer's Rule / 9.4：
Some Advanced Topics in Linear Algebra * / 10：
Vector Spaces / 10.1：
The Eigenvalue Problem / 10.2：
Quadratic Forms / 10.3：
Multivariate Calculus / IV：
Calculus for Functions of n-Variables / 11：
Partial Differentiation / 11.1：
Second-Order Partial Derivatives / 11.2：
The First-Order Total Differential / 11.3：
Curvature Properties: Concavity and Convexity / 11.4：
More Properties of Functions with Economic Applications / 11.5：
Taylor Series Expansion * / 11.6：
Optimization of Functions of n-Variables / 12：
First-Order Conditions / 12.1：
Direct Restrictions on Variables / 12.2：
Constrained Optimization / 13：
Constrained Problems and Approaches to Solutions / 13.1：
Second-Order Conditions for Constrained Optimization / 13.2：
Existence, Uniqueness, and Characterization of Solutions / 13.3：
Comparative Statics / 14：
Introduction to Comparative Statics / 14.1：
General Comparative-Statics Analysis / 14.2：
The Envelope Theorem / 14.3：
Concave Programming and the Kuhn-Tucker Conditions / 15：
The Concave-Programming Problem / 15.1：
Many Variables and Constraints / 15.2：
Integration and Dynamic Methods / V：
Integration / 16：
The Indefinite Integral / 16.1：
The Riemann (Definite) Integral / 16.2：
Properties of Integrals / 16.3：
Improper Integrals / 16.4：
Techniques of Integration / 16.5：
An Introduction to Mathematics for Economic Dynamics / 17：
Modeling Time / 17.1：
Linear, First-Order Difference Equations / 18：
Linear, First-Order, Autonomous Difference Equations / 18.1：
The General, Linear, First-Order Difference Equation / 18.2：
Nonlinear, First-Order Difference Equations / 19：
The Phase Diagram and Qualitative Analysis / 19.1：
Cycles and Chaos / 19.2：
Linear, Second-Order Difference Equations / 20：
The Linear, Autonomous, Second-Order Difference Equation / 20.1：
The Linear, Second-Order Difference Equation with a Variable Term / 20.2：
Linear, First-Order Differential Equations / 21：
Autonomous Equations / 21.1：
Nonautonomous Equations / 21.2：
Nonlinear, First-Order Differential Equations / 22：
Autonomous Equations and Qualitative Analysis / 22.1：
Two Special Forms of Nonlinear, First-Order Differential Equations / 22.2：
Linear, Second-Order Differential Equations / 23：
The Linear, Autonomous, Second-Order Differential Equation / 23.1：
The Linear, Second-Order Differential Equation with a Variable Term / 23.2：
Simultaneous Systems of Differential and Difference Equations / 24：
Linear Differential Equation Systems / 24.1：
Stability Analysis and Linear Phase Diagrams / 24.2：
Systems of Linear Difference Equations / 24.3：
Optimal Control Theory / 25：
The Maximum Principle / 25.1：
Optimization Problems Involving Discounting / 25.2：
Alternative Boundary Conditions on x(T) / 25.3：
Infinite-Time Horizon Problems / 25.4：
Constraints on the Control Variable / 25.5：
Free-Terminal-Time Problems (T Free) / 25.6：
Appendix: Complex Numbers and Circular Functions
Answers
Index
Preface
Introduction and Fundamentals / I：
Introduction / 1：
78.
図書
Howard E. Taylor
出版情報:
San Diego : Academic, c2001 xi, 294 p. ; 24 cm
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About the Author
Introduction / 1：
History / 1.1：
Overview / 1.2：
Atomic Structure / 2：
Bohr Model / 2.1：
Isotopes / 2.2：
Ionization / 2.3：
Inductively Coupled Plasmas / 3：
Plasma Formation / 3.1：
Generators / 3.1.1：
Crystal-Controlled Oscillator
Free-Running Oscillator
Solid-State Generators
Load Coils / 3.1.2：
Torches / 3.1.3：
Plasma Configuration / 3.2：
Instrumentation / 4：
Interface / 4.1：
Ion Lenses / 4.2：
Mass Spectrometers / 4.3：
Quadrupole Mass Analyzer / 4.3.1：
Scanning
Peak Hopping
Resolution
Abundance Sensitivity
Magnetic Sector Mass Analyzer / 4.3.2：
Single Focusing
Double Focusing
Time-of-Flight Mass Spectrometer / 4.3.3：
Ion-Trap Mass Spectrometer / 4.3.4：
Detectors / 4.4：
Continuous Dynode Electron Multiplier / 4.4.1：
Discrete Dynode Electron Multiplier / 4.4.2：
Faraday Cup / 4.4.3：
Sample Introduction / 5：
Gaseous Samples / 5.1：
Vapor Generation / 5.1.1：
Hydride Generation
Osmium Tetroxide Vapor
Cold-Vapor Mercury
Chromatography / 5.1.2：
Vapor Phase Chromatography
Supercritical Fluid Chromatography
Liquid Samples / 5.2：
Nebulizers / 5.2.1：
Spray Chamber
Pneumatic Nebulizer
Ultrasonic Nebulizer
Electrothermal Vaporizers / 5.2.2：
Solid Samples / 5.3：
Ablation Methods / 5.3.1：
Laser Ablation
Spark Ablation
Slurry Nebulization / 5.3.2：
Direct Insertion / 5.3.3：
Special Techniques / 6：
Flow Injection / 6.1：
Liquid Chromatography / 6.2：
Ion-Exchange Chromatography / 6.2.2：
Field Flow Fractionation / 6.3：
Quantitation Techniques / 7：
Qualitative Analysis / 7.1：
Semiquantitative Analysis / 7.2：
Quantitative Analysis / 7.3：
Direct Calibration / 7.3.1：
Calibration Curves
Internal Standardization
Standard Addition / 7.3.2：
Isotope Dilution / 7.3.3：
Quantitation Strategy / 7.3.4：
Interferences / 8：
Spectrometric Effects / 8.1：
Isobaric Spectral Overlap / 8.1.1：
Polyatomic Molecular Spectral Overlap / 8.1.2：
Polyatomic Molecules from Plasma Gas Components
Molecular Oxides
Sample Matrix/Acid Components
Reaction/Collision Cells
Doubly Charged Ions / 8.1.3：
Background / 8.1.4：
Nonspectrometric Effects / 8.2：
Matrix Effects / 8.2.1：
Physical Effects / 8.2.2：
Optimization / 9：
Parameter Optimization / 9.1：
"Cold Plasma" Operating Conditions / 9.2：
Figures of Merit / 10：
Sensitivity / 10.1：
Detection Limits / 10.2：
Precision / 10.3：
Accuracy / 10.4：
References
Table of Elements with Atomic Number, Weights, and First and Second Ionization Potentials / Appendix 1：
Isotopic Composition of the Elements / Appendix 2：
Prominent Polyatomic Interferences Applicable for ICP-MS Determinations / Appendix 3：
Table of Student's t Distribution / Appendix 4：
Certified Standard Reference Materials Available from the U.S. NIST and the NRC of Canada / Appendix 5：
Supplemental References / Appendix 6：
Index
About the Author
Introduction / 1：
History / 1.1：
79.
図書
Ian Lerche, Evan K. Paleologos
目次情報:
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Preface
Introduction to Environmental Problems: Transport, Burial, Monitoring, Spillage, Leakage, and Cleanup / Chapter 1.：
Transport Problems / 1.1.：
Burial/Storage Problems / 1.2.：
Monitoring Problems / 1.3.：
Spillage Problems / 1.4.：
Leakage Problems / 1.5.：
Summary / 1.6.：
Contracts and Decisions / Chapter 2.：
General Development / 2.1.：
Parameter Uncertainties / 2.2.：
Numerical Example / 2.3.：
Discussion / 2.4.：
Some Properties of a Log-Normal Distribution / Appendix 2A：
Exact Statements / 2A.1.：
Approximate Statements / 2A.2.：
Multiple-Parameter Distributions / 2A.3.：
Transport and Burial Hazards of Radioactive Waste / Chapter 3.：
Introduction / 3.1.：
Risk and Catastrophe in the Transport of Radioactive Waste / 3.2.：
Statistical Measures / 3.3.：
Analysis of Alternate Actions: Limited Spill / 3.4.：
Analysis of Alternate Actions: Catastrophic Spill / 3.5.：
Parameter Uncertainty Effects / 3.6.：
Means and Variances / 3.6.1.：
Relative Importance / 3.6.2.：
Relative Contribution of Uncertain Parameters in Subsurface Hydrology / 3.7.：
Physical Problem / 3.7.1.：
Theoretical Framework / 3.7.3.：
Results and Discussion / 3.7.4.：
Approximations for Cumulative Probability / 3.8.：
Utility Theory and Working-Interest Optimization in a Hazardous Waste Transport and Burial Opportunity / Chapter 4.：
Working-Interest Evaluation / 4.1.：
Exponential Utility Function / 4.2.1.：
Parabolic Utility Function / 4.2.2.：
Applications / 4.3.：
Limiting Expressions for Certainty Equivalent / 4.4.：
Parabolic Approximation to Exponential Utility / Appendix 4B：
Catastrophic Events, Insurance, and Unilateral Regulatory Changes / Chapter 5.：
Catastrophic Loss in Exploration Assessments / 5.1.：
Catastrophic Loss after Oil Is Found / 5.3.：
Insurance for Hydrocarbon Exploration and Development Risks / 5.4.：
General Catastrophic Loss Conditions / 5.5.：
Mathematical Considerations / 5.5.1.：
Numerical Illustration / 5.5.2.：
Insurance Coverage After Oil is Found / 5.6.：
General Considerations / 5.6.1.：
Insurance against Catastrophic Loss for Environmental Projects / 5.6.2.：
Optioning against Potential Regulatory Changes / 5.8.：
Risk Retention / 5.9.：
Evaluation of Risk Reserve Fund / 5.9.1.：
Projects Awarded at One Time Exposed to Liability L / 5.9.2.：
Projects Awarded at Different Times Exposed to Liability L / 5.9.3.：
Projects of Variable Magnitude Awarded at Different Times and Exposed to Liability L / 5.9.4.：
Numerical Illustrations / 5.9.5.：
Limiting Risk Using Fractional Working Interest / 5.10.：
General Methods / 6.1.：
Cozzolino's Formula / 6.2.1.：
Hyperbolic Risk Aversion / 6.2.2.：
Results from Cozzolino's Formula / 6.3.：
Results from the Hyperbolic Formula / 6.3.2.：
Comparison of Results / 6.3.3.：
Negative Expected Value / 6.4.：
Limiting Risk Within a Consortium and Foreign Government Projects / 6.5.：
RAV Estimates with Uncertainties / 7.1.：
Evaluation of Participation in a Consortium of Companies / 7.2.1.：
Evaluation of Participation in Foreign Government Projects / 7.4.：
Corporate Involvement in Multiple Environmental Projects / 7.5.：
Deterministic Portfolio Balancing / 8.1.：
Profitability / 8.2.1.：
Costs / 8.2.3.：
Budget Constraints / 8.3.：
High Budget / 8.3.1.：
Low Budget / 8.3.2.：
Finding the Best Working Interests / 8.4.：
The Parabolic RAV Formula / 8.4.1.：
The Exponential RAV Formula / 8.4.2.：
Deterministic Numerical Illustrations / 8.5.：
A Budget of $20 Million / 8.5.1.：
A Budget of $11 Million / 8.5.2.：
A Budget of $4 Million / 8.5.3.：
Probabilistic Portfolio Balancing / 8.6.：
Probabilistic Numerical Illustrations / 8.7.：
Variable Value / 8.7.1.：
Variable Value and Cost / 8.7.2.：
Variable Value, Cost, and Success Probability / 8.7.3.：
Very Low Budget / 8.7.4.：
Low to High Budget Comparison / 8.7.5.：
Comparison of Parabolic and Exponential RAV / 8.8.：
Deterministic Results / 8.8.1.：
Statistical Results / 8.8.2.：
Transport and Burial of Wastes / 8.9.：
Multiple Projects / 8.10.：
Exposure and Expenditure Constraints / 8.11.：
Corporate Exposure / 8.11.1.：
Cost Expenditure / 8.11.2.：
Optimal Working Interest / 8.12.：
Application / 8.13.：
Weighted RAV Optimization / 8.15.：
Apportionment of Cost Overruns to Hazardous Waste Projects / Chapter 9.：
Project Costs and Cost Overruns / 9.1.：
Identical Projects / 9.3.：
Unequal Projects / 9.3.2.：
Arbitrary Numbers of Projects / 9.4.：
Bayesian Updating of Toxic Leakage Scenarios / 9.5.：
Theoretical Considerations / 10.1.：
General Concepts of Bayesian Updating / 10.3.：
Updating the Likelihood of a State Being Correct / 10.4.：
Updating the Probability of Leakage / 10.4.2.：
Bayesian Decision Criteria / 10.5.：
Optimal Expected Value Bayes Decision / 10.5.1.：
Expected Opportunity Loss / 10.5.2.：
Influence of the Length of the Observation Record on Decision Making / 10.5.3.：
Influence of the Form of the Loss Function on Decision Making / 10.5.4.：
Multiple Transport of Hazardous Material: Probabilities of Profitability / 10.6.：
Statistical Measures for Individual Transport Trips / 11.1.：
Statistics for a Single Event / 11.2.1.：
Statistics for Multiple Events / 11.2.2.：
Bayesian Updating of Probabilities / 11.2.3.：
Residual Trips and Probability Updating / 11.2.4.：
Budget Buyout Considerations / 11.3.：
Multiple Transport before a Catastrophe Occurs / 11.4.：
Ship Disaster and Probability Updating / 11.4.2.：
Buyout Price and Minimum Acceptable Chance / 11.4.3.：
Maximizing Profit for a Toxic Waste Site Monitoring System / 11.5.：
Scientific Considerations / 12.1.：
Financial Considerations / 12.3.：
Option Payments for Future Information / 12.4.：
Maximum Option Payments / 13.1.：
Mean Value Assessment of Option Costs / 13.2.1.：
Probabilistic Assessment of Option Costs / 13.2.2.：
The Worth of Resolving Uncertainty for Environmental Projects / 13.3.：
Representation of Risk and Uncertainty / 14.1.：
Application to the Question: Is Value Added? / 14.3.：
Scientific Uncertainty in Environmental Problems: Models and Data / 14.4.：
Continuous Measurements of Hydraulic Head / 15.1.：
Weighting Factors / 15.2.1.：
Parameter Determination / 15.2.2.：
Illustrative Example / 15.2.3.：
Spatial Changes and Partitions / 15.2.4.：
Discrete Measurements of Hydraulic Head / 15.3.：
Stochastic Determinations / 15.4.：
Numerical Illustation / 15.4.1.：
Averaging Measures for Hydrodynamic Problems / 15.5.：
Specific Hydrodynamic Flow Model / 15.5.1.：
General Development of Procedures for N Models / 15.5.2.：
Continuous, Perfect Measurements / 15A.1.：
Discrete, Perfect Data / 15A.2.：
Stochastic Measurements / 15A.3.：
Individual Parameter Determination Procedure / Appendix 15B：
Measures of Model and Observational Mismatch / Appendix 15C：
Human, Water, Chemical, Biological and Radiocative Risks / Chapter 16.：
Natural Environmental Problems / 16.1.：
Anthropogenic Environmental Problems / 16.3.：
Examples of Anthropogenic Environmental Problems / 16.3.1.：
Resources and Environmental Issues / 16.3.2.：
Remediation of Environmental Problems / 16.4.：
Rules for Addressing Environmental Problems / 16.5.：
Epilogue / Chapter 17.：
Phase I, II, and III Site Assessments / Appendix 1.：
Brief Overview of the Federal Statutes of the United States / Appendix 2.：
References
Index
Preface
Introduction to Environmental Problems: Transport, Burial, Monitoring, Spillage, Leakage, and Cleanup / Chapter 1.：
Transport Problems / 1.1.：
80.
図書
editor, M.H. Hamza
出版情報:
Anaheim, Calif. : Acta Press, c2001 2 v. ; 28 cm
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v. 1. Artificial Intelligence & Applications
Advances in computer applications
v. 2. Networks, parallel and distributed processing, and applications
Software
v. 1. Artificial Intelligence & Applications
Advances in computer applications
v. 2. Networks, parallel and distributed processing, and applications
81.
図書
sponsored by American Meteorological Society
出版情報:
Boston, Mass. : American Meteorological Society, [2001] xxiv, 486, 171 p. ; 28 cm
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Joint Sessions J1 and J2, Joint Poster Sessions JP1 and JP2, 18th Conference on Weather Analysis and Forecasting ; 14th Conference on Numerical Weather Prediction and Ninth Conference on Mesoscale Processes
Joint Sessions J1 and J2, Joint Poster Sessions JP1 and JP2, 18th Conference on Weather Analysis and Forecasting ; 14th Conference on Numerical Weather Prediction and Ninth Conference on Mesoscale Processes
82.
図書
Ting-Chung Poon, Partha P. Banerjee
出版情報:
Amsterdam ; Tokyo : Elsevier, 2001 viii, 262 p. ; 25 cm
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Introduction to Linear Systems / Chapter 1：
One and Two-dimensional Fourier Transforms / 1.1：
The Discrete Fourier Transform / 1.2：
Linear Systems, Convolution and Correlation / 1.3：
Geometrical Optics / Chapter 2：
Fermat's Principle / 2.1：
Reflection and Refraction / 2.2：
Refraction in an Inhomogeneous Medium / 2.3：
Matrix Methods in Paraxial Optics / 2.4：
The ray transfer matrix / 2.4.1：
Illustrative examples / 2.4.2：
Ray Optics using MATLAB / 2.5：
Propagation and Diffraction of Optical Waves / Chapter 3：
Maxwell's Equations: A Review / 3.1：
Linear Wave Propagation / 3.2：
Traveling-wave solutions / 3.2.1：
Intrinsic impedance, the Poynting vector, and polarization / 3.2.2：
Spatial Frequency Transfer Function for Propagation / 3.3：
Examples of Fresnel diffraction / 3.3.1：
MATLAB example: the Cornu Spiral / 3.3.2：
MATLAB example: Fresnel diffraction of a square aperture / 3.3.3：
Fraunhofer diffraction and examples / 3.3.4：
MATLAB example: Fraunhofer diffraction of a square aperture / 3.3.5：
Fourier Transforming Property of Ideal Lenses / 3.4：
Gaussian Beam Optics and MATLAB Example / 3.5：
q-transformation of Gaussian beams / 3.5.1：
Focusing of a Gaussian beam / 3.5.2：
MATLAB example: propagation of a Gaussian beam / 3.5.3：
Optical Propagation in Inhomogeneous Media / Chapter 4：
Introduction: The Paraxial Wave Equation / 4.1：
The Split-step Beam Propagation Method / 4.2：
Wave Propagation in a Linear Inhomogeneous Medium / 4.3：
Optical propagation through graded index fiber / 4.3.1：
Optical propagation through step index fiber / 4.3.2：
Acousto-optic diffraction / 4.3.3：
Wave Propagation in a Nonlinear Inhomogeneous Medium / 4.4：
Kerr Media / 4.4.1：
Photorefractive Media / 4.4.2：
Single and Double Lens Image Processing Systems / Chapter 5：
Impulse Response and Single Lens Imaging System / 5.1：
Two-Lens Image Processing System / 5.2：
Examples of Coherent Image Processing / 5.3：
Incoherent Image Processing and Optical Transfer Function / 5.4：
MATLAB Examples of Optical Image Processing / 5.5：
Coherent lowpass filtering / 5.5.1：
Coherent bandpass filtering / 5.5.2：
Incoherent spatial filtering / 5.5.3：
Holography and Complex Spatial Filtering / Chapter 6：
Characteristics of Recording Devices / 6.1：
The Principle of Holography / 6.2：
Construction of Practical Holograms / 6.3：
Reconstruction of Practical Holograms and Complex Filtering / 6.4：
Holographic Magnification / 6.5：
Ray Theory of Holograms: Construction and Reconstruction / 6.6：
Contemporary Topics in Optical Image Processing / Chapter 7：
Theory of Optical Heterodyne Scanning / 7.1：
Bipolar incoherent image processing / 7.1.1：
Optical scanning holography / 7.1.2：
Acousto-Optic Image Processing / 7.2：
Experimental and numerical simulations of 1-D image processing using one acousto-optic cell / 7.2.1：
Improvement with two cascaded acousto-optic cells / 7.2.2：
Two-dimensional processing and four-corner edge enhancement / 7.2.3：
Photorefractive Image Processing / 7.3：
Edge enhancement / 7.3.1：
Image broadcasting / 7.3.2：
All-optical joint transform edge-enhanced correlation / 7.3.3：
Dynamic Holography for Phase Distortion Correction of Images / 7.4：
Subject Index
Introduction to Linear Systems / Chapter 1：
One and Two-dimensional Fourier Transforms / 1.1：
The Discrete Fourier Transform / 1.2：
83.
図書
editor, Angel Aparicio
出版情報:
Manila, Philippines : University of Sto. Tomas Library, 2001- v. ; 26 cm
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84.
図書
Abram de Swaan
出版情報:
Cambridge, UK : Polity , Malden, USA : Blackwell, 2001 xi, 253 p. ; 24 cm
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Preface
Introduction: The Global Language System / 1：
The Global Language System: a Galaxy of Languages / 1.1：
A Historical Atlas of the World as a Language System / 1.2：
Supercentral Constellations in the Present Language System / 1.3：
Scope and Approach of the Book / 1.4：
Plan of the Book / 1.5：
The Political Economy of Language Constellations / 2：
Languages as 'Hypercollective Goods' / 2.1：
The Communication Potential of a Language: the Q-value / 2.2：
Language, Culture and the Unequal Exchange of Texts / 3：
Texts as Commodities in International Exchange / 3.1：
Protectionism and Free Trade in Cultural Exchange / 3.2：
Monoglossia, Polyglossia and Heteroglossia / 3.3：
Discussion / 3.4：
India: The Rivalry between Hindi and English / 4：
Characterization of the Indian Constellation / 4.1：
State Formation, Nation-Building and Language Unification / 4.2：
The Vicissitudes of Language Policy in India / 4.3：
The Triumph of Bahasa, Indonesia / 4.4：
Gandhi's Dream / 5.1：
The Rise of Malay / 5.2：
The Demise of Dutch / 5.3：
The Rejection of Javanese / 5.4：
Africa: The Persistence of the Colonial Languages / 5.5：
A Two by Three Comparison / 6.1：
Three Francophone Constellations below the Sahara / 6.2：
Rwanda / 6.2.1：
Senegal / 6.2.2：
Congo/Zaire / 6.2.3：
Three English-Centered Constellations below the Sahara / 6.3：
Botswana / 6.3.1：
Tanzania / 6.3.2：
Nigeria / 6.3.3：
South Africa: The survival of the old language regime / 7：
The language regime under Apartheid / 7.1：
Language policy after Apartheid / 7.2：
The dynamics of the constellation / 7.3：
The European Union: The More Languages, the More English / 7.4：
Civil Europe (1): Language Unification in National Constellations / 8.1：
Civil Europe(2): Q-values in the European Union / 8.2：
Institutional Europe (1): the Public Level / 8.3：
Institutional Europe (2): the Bureaucracy / 8.4：
Conclusions and Considerations / 8.5：
Conclusions / 9.1：
Considerations / 9.2：
Notes
References
Index
Preface
Introduction: The Global Language System / 1：
The Global Language System: a Galaxy of Languages / 1.1：
85.
図書
Richard O. Duda, Peter E. Hart, David G. Stork
出版情報:
New York ; Chichester : Wiley, c2001 xx, 654 p. ; 27 cm
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Preface
Introduction / 1：
Machine Perception / 1.1：
An Example / 1.2：
Related Fields / 1.2.1：
Pattern Recognition Systems / 1.3：
Sensing / 1.3.1：
Segmentation and Grouping / 1.3.2：
Feature Extraction / 1.3.3：
Classification / 1.3.4：
Post Processing / 1.3.5：
The Design Cycle / 1.4：
Data Collection / 1.4.1：
Feature Choice / 1.4.2：
Model Choice / 1.4.3：
Training / 1.4.4：
Evaluation / 1.4.5：
Computational Complexity / 1.4.6：
Learning and Adaptation / 1.5：
Supervised Learning / 1.5.1：
Unsupervised Learning / 1.5.2：
Reinforcement Learning / 1.5.3：
Conclusion / 1.6：
Summary by Chapters
Bibliographical and Historical Remarks
Bibliography
Bayesian Decision Theory / 2：
Bayesian Decision Theory--Continuous Features / 2.1：
Two-Category Classification / 2.2.1：
Minimum-Error-Rate Classification / 2.3：
Minimax Criterion / 2.3.1：
Neyman-Pearson Criterion / 2.3.2：
Classifiers, Discriminant Functions, and Decision Surfaces / 2.4：
The Multicategory Case / 2.4.1：
The Two-Category Case / 2.4.2：
The Normal Density / 2.5：
Univariate Density / 2.5.1：
Multivariate Density / 2.5.2：
Discriminant Functions for the Normal Density / 2.6：
Case 1: [Sigma subscript i] = [sigma superscript 2]I / 2.6.1：
Case 2: [Sigma ubscript i] = [Sigma] / 2.6.2：
Case 3: [Sigma subscript i] = arbitrary / 2.6.3：
Decision Regions for Two-Dimensional Gaussian Data / Example 1：
Error Probabilities and Integrals / 2.7：
Error Bounds for Normal Densities / 2.8：
Chernoff Bound / 2.8.1：
Bhattacharyya Bound / 2.8.2：
Error Bounds for Gaussian Distributions / Example 2：
Signal Detection Theory and Operating Characteristics / 2.8.3：
Bayes Decision Theory--Discrete Features / 2.9：
Independent Binary Features / 2.9.1：
Bayesian Decisions for Three-Dimensional Binary Data / Example 3：
Missing and Noisy Features / 2.10：
Missing Features / 2.10.1：
Noisy Features / 2.10.2：
Bayesian Belief Networks / 2.11：
Belief Network for Fish / Example 4：
Compound Bayesian Decision Theory and Context / 2.12：
Summary
Problems
Computer exercises
Maximum-Likelihood and Bayesian Parameter Estimation / 3：
Maximum-Likelihood Estimation / 3.1：
The General Principle / 3.2.1：
The Gaussian Case: Unknown [mu] / 3.2.2：
The Gaussian Case: Unknown [mu] and [Sigma] / 3.2.3：
Bias / 3.2.4：
Bayesian Estimation / 3.3：
The Class-Conditional Densities / 3.3.1：
The Parameter Distribution / 3.3.2：
Bayesian Parameter Estimation: Gaussian Case / 3.4：
The Univariate Case: p([mu]|D) / 3.4.1：
The Univariate Case: p(x|D) / 3.4.2：
The Multivariate Case / 3.4.3：
Bayesian Parameter Estimation: General Theory / 3.5：
Recursive Bayes Learning
When Do Maximum-Likelihood and Bayes Methods Differ? / 3.5.1：
Noninformative Priors and Invariance / 3.5.2：
Gibbs Algorithm / 3.5.3：
Sufficient Statistics / 3.6：
Sufficient Statistics and the Exponential Family / 3.6.1：
Problems of Dimensionality / 3.7：
Accuracy, Dimension, and Training Sample Size / 3.7.1：
Overfitting / 3.7.2：
Component Analysis and Discriminants / 3.8：
Principal Component Analysis (PCA) / 3.8.1：
Fisher Linear Discriminant / 3.8.2：
Multiple Discriminant Analysis / 3.8.3：
Expectation-Maximization (EM) / 3.9：
Expectation-Maximization for a 2D Normal Model
Hidden Markov Models / 3.10：
First-Order Markov Models / 3.10.1：
First-Order Hidden Markov Models / 3.10.2：
Hidden Markov Model Computation / 3.10.3：
Hidden Markov Model / 3.10.4：
Decoding / 3.10.5：
HMM Decoding
Learning / 3.10.6：
Nonparametric Techniques / 4：
Density Estimation / 4.1：
Parzen Windows / 4.3：
Convergence of the Mean / 4.3.1：
Convergence of the Variance / 4.3.2：
Illustrations / 4.3.3：
Classification Example / 4.3.4：
Probabilistic Neural Networks (PNNs) / 4.3.5：
Choosing the Window Function / 4.3.6：
k[subscript n]-Nearest-Neighbor Estimation / 4.4：
k[subscript n]-Nearest-Neighbor and Parzen-Window Estimation / 4.4.1：
Estimation of A Posteriori Probabilities / 4.4.2：
The Nearest-Neighbor Rule / 4.5：
Convergence of the Nearest Neighbor / 4.5.1：
Error Rate for the Nearest-Neighbor Rule / 4.5.2：
Error Bounds / 4.5.3：
The k-Nearest-Neighbor Rule / 4.5.4：
Computational Complexity of the k-Nearest-Neighbor Rule / 4.5.5：
Metrics and Nearest-Neighbor Classification / 4.6：
Properties of Metrics / 4.6.1：
Tangent Distance / 4.6.2：
Fuzzy Classification / 4.7：
Reduced Coulomb Energy Networks / 4.8：
Approximations by Series Expansions / 4.9：
Linear Discriminant Functions / 5：
Linear Discriminant Functions and Decision Surfaces / 5.1：
Generalized Linear Discriminant Functions / 5.2.1：
The Two-Category Linearly Separable Case / 5.4：
Geometry and Terminology / 5.4.1：
Gradient Descent Procedures / 5.4.2：
Minimizing the Perceptron Criterion Function / 5.5：
The Perceptron Criterion Function / 5.5.1：
Convergence Proof for Single-Sample Correction / 5.5.2：
Some Direct Generalizations / 5.5.3：
Relaxation Procedures / 5.6：
The Descent Algorithm / 5.6.1：
Convergence Proof / 5.6.2：
Nonseparable Behavior / 5.7：
Minimum Squared-Error Procedures / 5.8：
Minimum Squared-Error and the Pseudoinverse / 5.8.1：
Constructing a Linear Classifier by Matrix Pseudoinverse
Relation to Fisher's Linear Discriminant / 5.8.2：
Asymptotic Approximation to an Optimal Discriminant / 5.8.3：
The Widrow-Hoff or LMS Procedure / 5.8.4：
Stochastic Approximation Methods / 5.8.5：
The Ho-Kashyap Procedures / 5.9：
The Descent Procedure / 5.9.1：
Some Related Procedures / 5.9.2：
Linear Programming Algorithms / 5.10：
Linear Programming / 5.10.1：
The Linearly Separable Case / 5.10.2：
Support Vector Machines / 5.10.3：
SVM Training / 5.11.1：
SVM for the XOR Problem
Multicategory Generalizations / 5.12：
Kesler's Construction / 5.12.1：
Convergence of the Fixed-Increment Rule / 5.12.2：
Generalizations for MSE Procedures / 5.12.3：
Multilayer Neural Networks / 6：
Feedforward Operation and Classification / 6.1：
General Feedforward Operation / 6.2.1：
Expressive Power of Multilayer Networks / 6.2.2：
Backpropagation Algorithm / 6.3：
Network Learning / 6.3.1：
Training Protocols / 6.3.2：
Learning Curves / 6.3.3：
Error Surfaces / 6.4：
Some Small Networks / 6.4.1：
The Exclusive-OR (XOR) / 6.4.2：
Larger Networks / 6.4.3：
How Important Are Multiple Minima? / 6.4.4：
Backpropagation as Feature Mapping / 6.5：
Representations at the Hidden Layer--Weights / 6.5.1：
Backpropagation, Bayes Theory and Probability / 6.6：
Bayes Discriminants and Neural Networks / 6.6.1：
Outputs as Probabilities / 6.6.2：
Related Statistical Techniques / 6.7：
Practical Techniques for Improving Backpropagation / 6.8：
Activation Function / 6.8.1：
Parameters for the Sigmoid / 6.8.2：
Scaling Input / 6.8.3：
Target Values / 6.8.4：
Training with Noise / 6.8.5：
Manufacturing Data / 6.8.6：
Number of Hidden Units / 6.8.7：
Initializing Weights / 6.8.8：
Learning Rates / 6.8.9：
Momentum / 6.8.10：
Weight Decay / 6.8.11：
Hints / 6.8.12：
On-Line, Stochastic or Batch Training? / 6.8.13：
Stopped Training / 6.8.14：
Number of Hidden Layers / 6.8.15：
Criterion Function / 6.8.16：
Second-Order Methods / 6.9：
Hessian Matrix / 6.9.1：
Newton's Method / 6.9.2：
Quickprop / 6.9.3：
Conjugate Gradient Descent / 6.9.4：
Additional Networks and Training Methods / 6.10：
Radial Basis Function Networks (RBFs) / 6.10.1：
Special Bases / 6.10.2：
Matched Filters / 6.10.3：
Convolutional Networks / 6.10.4：
Recurrent Networks / 6.10.5：
Cascade-Correlation / 6.10.6：
Regularization, Complexity Adjustment and Pruning / 6.11：
Stochastic Methods / 7：
Stochastic Search / 7.1：
Simulated Annealing / 7.2.1：
The Boltzmann Factor / 7.2.2：
Deterministic Simulated Annealing / 7.2.3：
Boltzmann Learning / 7.3：
Stochastic Boltzmann Learning of Visible States / 7.3.1：
Missing Features and Category Constraints / 7.3.2：
Deterministic Boltzmann Learning / 7.3.3：
Initialization and Setting Parameters / 7.3.4：
Boltzmann Networks and Graphical Models / 7.4：
Other Graphical Models / 7.4.1：
Evolutionary Methods / 7.5：
Genetic Algorithms / 7.5.1：
Further Heuristics / 7.5.2：
Why Do They Work? / 7.5.3：
Genetic Programming / 7.6：
Nonmetric Methods / 8：
Decision Trees / 8.1：
Cart / 8.3：
Number of Splits / 8.3.1：
Query Selection and Node Impurity / 8.3.2：
When to Stop Splitting / 8.3.3：
Pruning / 8.3.4：
Assignment of Leaf Node Labels / 8.3.5：
A Simple Tree
Multivariate Decision Trees / 8.3.6：
Priors and Costs / 8.3.9：
Missing Attributes / 8.3.10：
Surrogate Splits and Missing Attributes
Other Tree Methods / 8.4：
ID3 / 8.4.1：
C4.5 / 8.4.2：
Which Tree Classifier Is Best? / 8.4.3：
Recognition with Strings / 8.5：
String Matching / 8.5.1：
Edit Distance / 8.5.2：
String Matching with Errors / 8.5.3：
String Matching with the "Don't-Care" Symbol / 8.5.5：
Grammatical Methods / 8.6：
Grammars / 8.6.1：
Types of String Grammars / 8.6.2：
A Grammar for Pronouncing Numbers
Recognition Using Grammars / 8.6.3：
Grammatical Inference / 8.7：
Rule-Based Methods / 8.8：
Learning Rules / 8.8.1：
Algorithm-Independent Machine Learning / 9：
Lack of Inherent Superiority of Any Classifier / 9.1：
No Free Lunch Theorem / 9.2.1：
No Free Lunch for Binary Data
Ugly Duckling Theorem / 9.2.2：
Minimum Description Length (MDL) / 9.2.3：
Minimum Description Length Principle / 9.2.4：
Overfitting Avoidance and Occam's Razor / 9.2.5：
Bias and Variance / 9.3：
Bias and Variance for Regression / 9.3.1：
Bias and Variance for Classification / 9.3.2：
Resampling for Estimating Statistics / 9.4：
Jackknife / 9.4.1：
Jackknife Estimate of Bias and Variance of the Mode
Bootstrap / 9.4.2：
Resampling for Classifier Design / 9.5：
Bagging / 9.5.1：
Boosting / 9.5.2：
Learning with Queries / 9.5.3：
Arcing, Learning with Queries, Bias and Variance / 9.5.4：
Estimating and Comparing Classifiers / 9.6：
Parametric Models / 9.6.1：
Cross-Validation / 9.6.2：
Jackknife and Bootstrap Estimation of Classification Accuracy / 9.6.3：
Maximum-Likelihood Model Comparison / 9.6.4：
Bayesian Model Comparison / 9.6.5：
The Problem-Average Error Rate / 9.6.6：
Predicting Final Performance from Learning Curves / 9.6.7：
The Capacity of a Separating Plane / 9.6.8：
Combining Classifiers / 9.7：
Component Classifiers with Discriminant Functions / 9.7.1：
Component Classifiers without Discriminant Functions / 9.7.2：
Unsupervised Learning and Clustering / 10：
Mixture Densities and Identifiability / 10.1：
Maximum-Likelihood Estimates / 10.3：
Application to Normal Mixtures / 10.4：
Case 1: Unknown Mean Vectors / 10.4.1：
Case 2: All Parameters Unknown / 10.4.2：
k-Means Clustering / 10.4.3：
Fuzzy k-Means Clustering / 10.4.4：
Unsupervised Bayesian Learning / 10.5：
The Bayes Classifier / 10.5.1：
Learning the Parameter Vector / 10.5.2：
Unsupervised Learning of Gaussian Data
Decision-Directed Approximation / 10.5.3：
Data Description and Clustering / 10.6：
Similarity Measures / 10.6.1：
Criterion Functions for Clustering / 10.7：
The Sum-of-Squared-Error Criterion / 10.7.1：
Related Minimum Variance Criteria / 10.7.2：
Scatter Criteria / 10.7.3：
Clustering Criteria
Iterative Optimization / 10.8：
Hierarchical Clustering / 10.9：
Definitions / 10.9.1：
Agglomerative Hierarchical Clustering / 10.9.2：
Stepwise-Optimal Hierarchical Clustering / 10.9.3：
Hierarchical Clustering and Induced Metrics / 10.9.4：
The Problem of Validity / 10.10：
On-line clustering / 10.11：
Unknown Number of Clusters / 10.11.1：
Adaptive Resonance / 10.11.2：
Learning with a Critic / 10.11.3：
Graph-Theoretic Methods / 10.12：
Component Analysis / 10.13：
Nonlinear Component Analysis (NLCA) / 10.13.1：
Independent Component Analysis (ICA) / 10.13.3：
Low-Dimensional Representations and Multidimensional Scaling (MDS) / 10.14：
Self-Organizing Feature Maps / 10.14.1：
Clustering and Dimensionality Reduction / 10.14.2：
Mathematical Foundations / A：
Notation / A.1：
Linear Algebra / A.2：
Notation and Preliminaries / A.2.1：
Inner Product / A.2.2：
Outer Product / A.2.3：
Derivatives of Matrices / A.2.4：
Determinant and Trace / A.2.5：
Matrix Inversion / A.2.6：
Eigenvectors and Eigenvalues / A.2.7：
Lagrange Optimization / A.3：
Probability Theory / A.4：
Discrete Random Variables / A.4.1：
Expected Values / A.4.2：
Pairs of Discrete Random Variables / A.4.3：
Statistical Independence / A.4.4：
Expected Values of Functions of Two Variables / A.4.5：
Conditional Probability / A.4.6：
The Law of Total Probability and Bayes' Rule / A.4.7：
Vector Random Variables / A.4.8：
Expectations, Mean Vectors and Covariance Matrices / A.4.9：
Continuous Random Variables / A.4.10：
Distributions of Sums of Independent Random Variables / A.4.11：
Normal Distributions / A.4.12：
Gaussian Derivatives and Integrals / A.5：
Multivariate Normal Densities / A.5.1：
Bivariate Normal Densities / A.5.2：
Hypothesis Testing / A.6：
Chi-Squared Test / A.6.1：
Information Theory / A.7：
Entropy and Information / A.7.1：
Relative Entropy / A.7.2：
Mutual Information / A.7.3：
Index / A.8：
Preface
Introduction / 1：
Machine Perception / 1.1：
86.
図書
86. Abstracts, Canadian Society for Civil Engineering 29th Annual Conference 2001, Victoria, British Columbia, May 30 - June 2, 2001 = Résumés, société canadienne de génie civil 29e Congrès annuel 2001, Victoria, Colombie-Britannique, du 30 mai au 2 juin 2001 = éditeurs, Don Noakes, Brenda McCabe, Maria Elektorowicz, Ram Balachander
editors
出版情報:
Montreal, Québec : Canadian Society for Civil Engineering, [2001] 1 v. (various paging) ; 22 cm
子書誌情報:
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87.
図書
Khalifa Trimèche
出版情報:
Amsterdam : Gordon & Breach Science Publishers, c2001 xii, 306 p. ; 26 cm
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Introduction
The Normalized Bessel Function Of First Kind / 1：
The Bessel function of first kind / 1.I.：
Definition / 1.I.1.：
Derivatives and differential equation of the Bessel function J[subscript v] / 1.I.2.：
Asymptotic formulas for the Bessel function J[subscript v] / 1.I.3.：
The Poisson integral representations of the Bessel function J[subscript v] / 1.I.4.：
The Sonine's first integral for the Bessel functions J[subscript alpha] and J[subscript beta] / 1.I.5.：
Addition formulas for the Bessel function J[subscript v] / 1.I.6.：
Product formulas for the Bessel function J[subscript v] / 1.I.7.：
The normalized Bessel function of first kind / 1.II.：
Properties of the function j[subscript alpha] ([lambda]x) / 1.II.1.：
Integral representations of the function j[subscript alpha] ([lambda]x) / 1.II.3.：
The Poisson integral representations / 1.II.3.a.：
The Sonine's first integral / 1.II.3.b.：
Product formula for the function j[subscript alpha] / 1.II.4.：
Useful formulas involving the function j[subscript alpha] / 1.II.5.：
Problems / 1.III.：
Riemann-Liouville And Weyl Integral Transforms / 2：
The Riemann-Liouville integral transform / 2.I.：
Definition and properties / 2.I.1.：
Inversion of the operator R[subscript alpha] / 2.I.2.：
The Riemann-Liouville integral transform on the spaces L[superscript p]([0, + [infinity][, dx), 1[less than or equal]p[less than or equal]+[infinity] / 2.I.3.：
The Weyl integral transform / 2.II.：
Inversion of the operator W[subscript alpha] / 2.II.1.：
The Weyl integral transform on the space and[subscript *](IR) / 2.III.：
The Weyl transform on the space E'[subscript *](IR) / 2.IV.：
The Sonine integral transform and its dual / 2.V.：
The Sonine integral transform / 2.V.1.：
The Sonine integral transform on the spaces L[superscript p]([0, + [infinity][, dx], 1[less than or equal]p[less than or equal]+[infinity] / 2.V.2.：
The dual Sonine integral transform / 2.V.3.：
The Sonine transform on the space E'[subscript *](IR) / 2.V.4.：
Convolution Product And Fourier-Cosine Transform Of Functions, Measures And Distributions / 2.VI.：
Convolution product of functions and distributions / 3.I.：
The translation operator / 3.I.1.：
Convolution product of functions / 3.I.2.：
Convolution product of measures / 3.I.3.：
Convolution product of distributions / 3.I.4.：
The Fourier-cosine transform / 3.II.：
The Fourier-cosine transform on L[superscript 1]([0, +[infinity][, dx) / 3.II.1.：
The Fourier-cosine transform on and[subscript *](IR) and D[subscript *](IR) / 3.II.2.：
The Fourier-cosine transform on L[superscript 2]([0, +[infinity][, dx) / 3.II.3.：
The Fourier-cosine transform on M[superscript b]([0, +[infinity][) / 3.II.4.：
The Fourier-cosine transform on E'[subscript *](IR) and and'[subscript *](IR) / 3.II.5.：
Generalized Convolution Product Associated With The Bessel Operator / 3.III.：
Convolution product of radial functions / 4.I.：
Convolution product / 4.I.1.：
Generalized translation operators associated with the Bessel operator / 4.II.：
Generalized convolution product associated with the Bessel operator / 4.III.：
Generalized convolution product of functions / 4.III.1.：
Generalized convolution product of measures of M[superscript b]([0,+[infinity][) / 4.III.2.：
Generalized convolution product of distributions / 4.III.3：
Fourier-Bessel Transform / 4.IV.：
Fourier transform of radial functions / 5.I.：
The Fourier-Bessel transform on L[superscript 1]([0, + [infinity][, d[mu subscript alpha]) / 5.II.：
The Fourier-Bessel transform on and[subscript *](IR) and D[subscript *](IR) / 5.III.：
The Fourier-Bessel transform on L[superscript 2]([0, + [infinity][, d[mu subscript alpha]) / 5.IV.：
The Fourier-Bessel transform on L[superscript p]([0, + [infinity][, d[mu subscript alpha]),1[less than or equal]p[less than or equal]2 / 5.V.：
The Fourier-Bessel transform on M[superscript b]([0, + [infinity][) / 5.VI.：
The Fourier-Bessel transform on E'[subscript *](IR) and and'[subscript *](IR) / 5.VII.：
Infinitely Divisible Probabilities And Central Limit Theorem Associated With The Bessel Operator / 5.VIII.：
Dispersion of a probability measure on [0, + [infinity][ / 6.I.：
Generalized quadratic form / 6.I.1.：
Levy's theorem / 6.I.2.：
Levy-Khintchine's formula / 6.II.：
Convolution semigroups and infinitely divisible probabilities associated with the Bessel operator / 6.III.：
Convolution semigroups / 6.III.1.：
Infinitely divisible probabilities associated with the Bessel operator / 6.III.2.：
Central limit theorem associated with the Bessel operator / 6.IV.：
Continuous Wavelet Transform Associated With The Bessel Operator / 7：
Classical continuous wavelet transform on [0, + [infinity][ / 7.I.：
Classical wavelets on [0, + [infinity][ / 7.I.1.：
Continuous wavelet transform associated with the Bessel operator / 7.I.2.：
Wavelets associated with the Bessel operator / 7.II.1.：
Continuous wavelet transform associated, with the Bessel operator / 7.II.2.：
Inversion formulas for the operator R[subscript alpha] and W[subscript alpha] / 7.III.：
Inversion formulas for the operators R[subscript alpha] and W[subscript alpha] using wavelets associated with the Bessel operator / 7.IV.：
Wavelet Packets Associated With The Bessel Operator / 7.V.：
The P-wavelet packet transform associated with the Bessel operator / 8.I.：
Plancherel and reconstruction formulas / 8.I.1.：
Calderon's reproducing formula / 8.I.2：
Scale discrete scaling function associated with the Bessel operator / 8.II.：
Modified packet associated with the Bessel operator / 8.III.：
S-wavelet packet associated with the Bessel operator / 8.IV.：
Multiresolution analysis by means of wavelet packets associated with the Bessel operator / 8.V.：
Continuous Linear Wavelet Transform Associated With The Bessel Operator And Its Discretization / 8.VI.：
Linear wavelets associated with the Bessel operator / 9.I.：
Linear wavelet packets associated with the Bessel operator / 9.II.：
Scale discrete L-scaling function associated with the Bessel operator / 9.III.：
Bibliography
Index
Introduction
The Normalized Bessel Function Of First Kind / 1：
The Bessel function of first kind / 1.I.：
88.
図書
Peter Brucker
出版情報:
Berlin : Springer Verlag, c2001 xii, 365 p. ; 24 cm
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Preface
Classification of Scheduling Problems / 1：
Scheduling Problems / 1.1：
Job Data / 1.2：
Job Characteristics / 1.3：
Machine Environment / 1.4：
Optimality Criteria / 1.5：
Examples / 1.6：
Some Problems in Combinatorial Optimization / 2：
Linear and Integer Programming / 2.1：
Transshipment Problems / 2.2：
The Maximum Flow Problem / 2.3：
Bipartite Matching Problems / 2.4：
The Assignment Problem / 2.5：
Are Coloring of Bipartite Graphs / 2.6：
Shortest Path Problems and Dynamic Programming / 2.7：
Computational Complexity / 3：
The Classes P and NP / 3.1：
NP-complete and NP-hard Problems / 3.2：
Simple Reductions Between Scheduling Problems / 3.3：
Living with NP-hard Problems / 3.4：
Local Search Techniques / 3.4.1：
Branch-and-Bound Algorithms / 3.4.2：
Single Machine Scheduling Problems / 4：
Minimax Criteria / 4.1：
Maximum Lateness and Related Criteria / 4.1.1：
Total Weighted Completion Time / 4.3：
Weighted Number of Late Jobs / 4.3.1：
Total Weighted Tardiness / 4.4.1：
Problems with Release Times and Identical Processing Times / 4.6：
Complexity of Single Machine Problems / 4.6.1：
Parallel Machines / 5：
Independent Jobs / 5.1：
Identical Machines / 5.1.1：
Uniform Machines / 5.1.2：
Unrelated Machines / 5.1.3：
Jobs with Precedence Constraints / 5.2：
Complexity Results / 5.2.1：
Shop Scheduling Problems / 6：
The Disjunctive Graph Model / 6.1：
Open Shop Problems / 6.2：
Arbitrary Processing Times / 6.2.1：
Unit Processing Times / 6.2.2：
Flow Shop Problems / 6.3：
Minimizing Makespan / 6.3.1：
Job Shop Problems / 6.4：
Problems with Two Machines / 6.4.1：
Problems with Two Jobs. A Geometric Approach / 6.4.2：
Job Shop Problems with Two Machines / 6.4.3：
A Branch-and-Bound Algorithm / 6.4.4：
Applying Tabu-Search to the Job Shop Problem / 6.4.5：
Mixed Shop Problems / 6.5：
Problems with Two Jobs / 6.5.1：
Complexity of Shop Scheduling Problems / 6.6：
Due-Date Scheduling / 7：
Problem l / 7.1：
Batching Problem / 7.3：
Single Machine s-Batching Problems / 8.1：
Single Machine p-Batching Problems / 8.2：
The Unbounded Model / 8.2.1：
The Bounded Model / 8.2.2：
Complexity Results for Single Machine Batching Problems / 8.3：
Changeover Times and Transportation Times / 9：
Single Machine Problems / 9.1：
Problems with Parallel Machines / 9.2：
General Shop Problems / 9.3：
Multi-Purpose Machines / 10：
MPM Problems with Identical and Uniform Machines / 10.1：
MPM Problems with Shop Characteristics / 10.2：
Multiprocessor Tasks / 10.2.1：
Multiprocessor Task Systems / 11.1：
Shop Problems with MPT: Arbitrary Processing Times / 11.2：
Shop Problems with MPT: Unit Processing Times / 11.3：
Multi-Mode Multiprocessor-Task Scheduling Problems / 11.4：
Bibliography / 11.5：
Index
Preface
Classification of Scheduling Problems / 1：
Scheduling Problems / 1.1：
89.
図書
東工大
柴田里程著
目次情報:
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第1章 データサイエンス
1.1 データサイエンスがめざすもの 1
1.2 データの上流から下流まで 2
1.2.1 データサンプリング 2
1.2.2 データとその記述の一体化 3
1.2.3 DandDルール 6
1.2.4 データのブラウジング 7
1.2.5 データに含まれる情報量 7
1.2.6 データモデリング 8
1.2.7 モデルヴァリデーション 10
1.2.8 ソフトウェア 11
1.3 データエンジニアリング 12
1.3.1 データの同化 12
1.3.2 データマイニング 13
1.3.3 データ学習アルゴリズム 13
1.4 データリテラシー 14
1.4.1 データの型 14
1.4.2 データの属性と構造 14
1.4.3 日時の表現 15
1.4.4 背景情報 18
1.4.5 ランダム性と非ランダム性 19
1.4.6 変量 22
1.4.7 平均,分散,標準偏差 22
1.4.8 相関と関係 24
1.4.9 偏差値 25
第2章 データ
2.1 データベクトル 27
2.1.1 値 29
2.1.2 属性 30
2.2 データベクトルの構造化 44
2.2.1 配列形式 45
2.2.2 関係形式 46
2.2.3 その他の形式 53
2.3 特別な意味をもつ構造 54
2.3.1 グラフ,関連度表 55
2.3.2 並べ替え 56
2.3.3 時系列 56
2.3.4 点過程データ 57
2.3.5 意図しない観測打切り 57
2.3.6 制約 58
2.3.7 区間 59
2.3.8 基数系 59
2.3.9 座標 61
2.4 データ取得計画 64
2.4.1 ランダム化 64
2.4.2 システマティックな抽出,意図的な抽出 69
2.4.3 実験計画 72
2.5 背景情報 76
2.5.1 改訂の記録 77
2.5.2 参考文献 77
第3章 データの浄化と組織化
3.1 事例研究 79
3.1.1 実験データ 79
3.1.2 地震データ 82
3.1.3 気象観測データ 86
3.1.4 マーケティングデータ 92
3.1.5 給油記録データ 95
3.1.6 高血圧症研究データ 98
3.1.7 商品先物取引データ 100
3.2 データの浄化 105
3.2.1 人為的なミスの訂正 105
3.2.2 表現の統一 105
3.2.3 1次データへの絞り込み 106
3.2.4 冗長な変量の削除 106
3.2.5 単位の統一 106
3.2.6 コーディング 106
3.3 データの組織化 107
3.3.1 新たな変量の導入 107
3.3.2 関係形式と配列形式 107
3.3.3 時間の扱い 107
3.4 背景情報の記述 109
3.4.1 データベクトルの属性 109
3.4.2 関係形式や配列形式の背景情報 109
3.4.3 文章での記述 110
第4章 データのブラウジング
4.1 データを数値として眺める 112
4.2 データをグラフィカルに眺める 113
4.2.1 散布図 114
4.2.2 時系列図 119
4.2.3 箱型図 128
4.2.4 累積分布図 134
4.2.5 Q-Qプロマット 137
4.3 関係を探る 143
4.3.1 補間と平滑化 144
4.3.2 独立性と無相関 146
4.4 データを変換する 149
4.5 データを分解する 149
第5章 データの流通と蓄積
5.1 データの源泉 151
5.2 データの公開 153
5.2.1 データ公開の形式 156
5.2.2 データの著作権 156
5.2.3 データの価値 157
5.3 インターデータベース 158
5.3.1 フローティングDandDインスタンス 159
5.3.2 データの蓄積 160
5.3.3 モデルの蓄積 161
5.4 データの流通と蓄積のもたらす未来 161
参考文献 163
索引 165
第1章 データサイエンス
1.1 データサイエンスがめざすもの 1
1.2 データの上流から下流まで 2
90.
図書
Franco Vivaldi
目次情報:
続きを見る
What is Maple? / 1：
Integers and rationals / 2：
Integers / 2.1：
Arithmetical expressions / 2.2：
Some Maple / 2.3：
Divisibility / 2.4：
Rationals / 2.5：
Primes / 2.6：
Standard library functions / 2.7：
Sets and functions / 3：
Sets / 3.1：
Sets with Maple / 3.2：
Functions / 3.3：
User-defined functions / 3.4：
Sequences / 4：
Basics / 4.1：
Sequences with Maple / 4.2：
Plotting the elements of a sequence / 4.3：
Periodic and eventually periodic sequences / 4.4：
Some non-periodic sequences / 4.5：
Basic counting sequences / 4.6：
Sequences defined recursively / 4.7：
Real and complex numbers / 5：
Digits of rationals / 5.1：
Real numbers / 5.2：
Random and pseudo-random digits* / 5.3：
Complex numbers / 5.4：
Structure of expressions / 5.5：
Analysis of an expression / 6.1：
More on substitutions / 6.2：
Functions acting on operands of expressions / 6.3：
Polynomials and rational functions / 7：
Polynomials / 7.1：
Polynomial arithmetic / 7.2：
Rational functions / 7.3：
Basic manipulations / 7.4：
Partial fractions decomposition* / 7.5：
Finite sums and products / 8：
Sums and products with Maple / 8.1：
Symbolic evaluation of sums and products / 8.3：
Double sums and products / 8.4：
Sums and products as recursive sequences / 8.5：
Elements of programming / 9：
Iteration / 9.1：
Study of an eventually periodic sequence / 9.2：
Conditional execution* / 9.3：
Procedures* / 9.4：
Vector spaces / 10：
Cartesian product of sets / 10.1：
Vectors with Maple / 10.2：
Matrices / 10.4：
Matrices with Maple / 10.5：
Modular arithmetic* / 11：
A modular system / 11.1：
Arithmetic of equivalence classes / 11.2：
Some arithmetical constructions in F[subscript p] / 11.3：
Some abstract structures* / 12：
The axioms of arithmetic / 12.1：
Metric spaces / 12.2：
Rings and fields / 12.3：
What is Maple? / 1：
Integers and rationals / 2：
Integers / 2.1：
91.
図書
Julián López-Gómez
目次情報:
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Preface
Introduction / 1.：
General assumptions and basic concepts / 1.1：
Some new results / 1.2：
Historical remarks / 1.3：
Bifurcation from simple eigenvalues / 2.：
Simple eigenvalues and transversality / 2.1：
The theorem of M. G. Crandall and P. H. Rabinowitz / 2.2：
Local bifurcation diagrams / 2.3：
The exchange stability principle / 2.4：
Applications / 2.5：
A simple application / 2.5.1：
The Selkov scheme for glycolysis / 2.5.2：
First general bifurcation results / 3.：
Lyapunov-Schmidt reductions / 3.1：
The theorem of J. Ize / 3.2：
The global alternative of P. H. Rabinowitz / 3.3：
The theorem of D. Westreich / 3.4：
The algebraic multiplicity / 4.：
Motivating the concept of transversality / 4.1：
Transversal eigenvalues / 4.2：
Algebraic eigenvalues / 4.3：
Analytic families / 4.4：
Simple degenerate eigenvalues / 4.5：
Other fundamental properties of the multiplicity / 5.：
The multiplicity of R. J. Magnus / 5.1：
Relations between x and [mu] / 5.2：
The fundamental theorem / 5.3：
The classical algebraic multiplicity / 5.4：
Finite dimensional characterizations / 5.5：
The parity of the crossing number / 5.6：
Global bifurcation theory / 6.：
Preliminaries / 6.1：
Local bifurcation / 6.2：
Global behavior of the bounded components / 6.3：
Unilateral global bifurcation / 6.4：
Unilateral bifurcation for positive operators / 6.5：
Positive solutions of semilinear elliptic problems / 7.：
Coexistence states for elliptic systems / 7.2：
Examples / 7.3：
Example 1 / 7.3.1：
Example 2 / 7.3.2：
Example 3 / 7.3.3：
A further application / 7.4：
References
Index
Preface
Introduction / 1.：
General assumptions and basic concepts / 1.1：
92.
図書
Alexei Skorobogatov
目次情報:
続きを見る
Introduction / 1：
Torsors / Part 1：
Torsors: general theory / 2：
Torsors over a field / 2.1：
Torsors and Cech cohomology / 2.2：
Torsors under groups of multiplicative type / 2.3：
Obstructions to existence of rational points over arbitrary fields / 2.4：
Examples of torsors / 3：
Torsors in geometric invariant theory / 3.1：
Classification of Del Pezzo surfaces of degree 5 / Appendix：
Homogeneous spaces and central extensions / 3.2：
Torsors under abelian varieties / 3.3：
Equations for 2- and 4-coverings of elliptic curves
Abelian torsors / 4：
From abelian torsors to Azumaya algebras / 4.1：
A commutative diagram / 4.2：
Local description of abelian torsors / 4.3：
Torsors associated with a dominant morphism to P[superscript 1 subscript k] / 4.4：
Descent and Manin Obstruction / Part 2：
Obstructions over number fields / 5：
The Hasse principle, weak and strong approximation / 5.1：
The Manin obstruction / 5.2：
Descent obstructions / 5.3：
Abelian descent and Manin obstruction / 6：
Descent theory / 6.1：
Manin obstruction and global duality pairings / 6.2：
Compactifications of torsors under tori / 6.3：
Abelian descent on conic bundle surfaces / 7：
Brauer group of conic bundles / 7.1：
Chatelet surfaces / 7.2：
Some intersections of two quadrics in P[superscript 5 subscript k] / 7.3：
Conic bundles with six singular fibres / 7.4：
Non-abelian descent on bielliptic surfaces / 8：
Beyond the Manin obstruction / 8.1：
An example of 4-torsion in III (E)
Interpretation in terms of non-abelian torsors / 8.2：
Homogeneous spaces and non-abelian cohomology / 9：
Liens and non-abelian H[superscript 2] / 9.1：
The Springer class of a homogeneous space / 9.2：
Abelianization of non-abelian H[superscript 2] / 9.3：
Hasse principle for non-abelian H[superscript 2] / 9.4：
Descent on homogeneous spaces / 9.5：
References
Index
Introduction / 1：
Torsors / Part 1：
Torsors: general theory / 2：
93.
図書
Gabriele Kern-Isberner
目次情報:
続きを見る
Introduction / 1：
öBelieve It or Notö - The Handling of Uncertain Knowledge / 1.1：
Overview / 1.2：
Basic Definitions and Notations / 1.3：
Propositional and Conditional Expressions / 1.3.1：
Probabilistic Logics / 1.3.2：
Belief Revision and Nonmonotonic Reasoning - State of the Art / 2：
Nonmonotonic Reasoning / 2.1：
Belief Revision / 2.2：
Nonmonotonic Reasoning and Belief Revision - Two Sides of the Same Coin? / 2.3：
Iterated Revision, Epistemic States, and Conditionals / 2.4：
Probabilistic Reasoning - The ME-Approach / 2.5：
Conditionals / 3：
Conditionals and Epistemic States / 3.1：
Conditional Valuation Functions / 3.2：
Conditional Valuation Functions and Beliefs / 3.3：
A Dynamic View on Conditionals / 3.4：
Conditional Structures / 3.5：
Conditional Indifference / 3.6：
Revising Epistemic States by Conditional Beliefs / 4：
Postulates for Revising by Conditional Beliefs / 4.1：
Representation Theorems / 4.2：
Conditional Valuation Functions and Revision / 4.3：
A Revision Operator for Ordinal Conditional Functions / 4.4：
The Principle of Conditional Preservation / 4.5：
C-Revisions and C-Representations / 4.6：
Characterizing the Principle of Minimum Cross-Entropy / 5：
Conditional Preservation / 5.1：
The Functional Concept / 5.2：
Logical Coherence / 5.3：
Representation Invariance / 5.4：
Uniqueness and the Main Theorem / 5.5：
Reasoning at Optimum Entropy / 6：
Probabilistic Consequence and Probabilistic Inference / 6.1：
Basic Properties of the ME-Inference Operation / 6.2：
ME-Logic and Conditionals / 6.3：
ME-Deduction Rules / 6.4：
Chaining Rules / 6.4.1：
Cautious Monotonicity and Cautious Cut / 6.4.2：
Conjoining Literals in Antecedent and Consequent / 6.4.3：
Reasoning by Cases / 6.4.4：
Belief Revision and Nonmonotonic Reasoning - Revisited / 7：
Universal Inference Operations / 7.1：
Simultaneous and Successive Revision / 7.2：
Separating Background from Evidential Knowledge / 7.3：
Revising Epistemic States by Sets of Conditionals / 7.4：
Revision versus Updating / 7.5：
Focusing in a Probabilistic Framework / 7.6：
Knowledge Discovery by Following Conditional Structures / 8：
Probabilistic Knowledge Discovery / 8.1：
Discovering Conditional Structures / 8.2：
Examples - ME-Knowledge Discovery / 8.3：
Open Problems and Concluding Remarks / 8.4：
Algorithms and Implementations / 9：
ME-Reasoning with Probabilistic Conditionals / 9.1：
Possibilistic Belief Revision / 9.2：
Conclusion / 10：
Proofs
Bibliography
Index
Introduction / 1：
öBelieve It or Notö - The Handling of Uncertain Knowledge / 1.1：
Overview / 1.2：
94.
図書
I.R. Porteous
出版情報:
Cambridge : Cambridge University Press, c2001 xv, 333 p. ; 24 cm
子書誌情報:
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Introduction
Plane curves / 1：
Regular plane curves and their evolutes / 1.0：
Curvature / 1.2：
Parallels / 1.3：
Equivalent parametric curves / 1.4：
Unit-speed curves / 1.5：
Unit-angular-velocity curves / 1.6：
Rhamphoid cusps / 1.7：
The determination of circular points / 1.8：
The four-vertex theorem / 1.9：
Exercises
Some elementary geometry / 2：
Some linear facts / 2.0：
Some bilinear facts / 2.2：
Some projective facts / 2.3：
Projective curves / 2.4：
Spaces of polynomials / 2.5：
Inversion and stereographic projection / 2.6：
Plane kinematics / 3：
Instantaneous rotations and translations / 3.0：
The motion of a plane at t = 0 / 3.2：
The inflection circle and Ball point / 3.3：
The cubic of stationary curvature / 3.4：
Burmester points / 3.5：
Rolling wheels / 3.6：
Polodes / 3.7：
Caustics / 3.8：
The derivatives of a map / 4：
The first derivative and C[superscript 1] submanifolds / 4.0：
Higher derivatives and C[superscript k] submanifolds / 4.2：
The Faa de Bruno formula / 4.3：
Curves on the unit sphere / 5：
Geodesic curvature / 5.0：
Spherical kinematics / 5.2：
Space curves / 6：
The focal surface and space evolute / 6.0：
The Serret--Frenet equations / 6.3：
Close up views / 6.4：
Historical note / 6.6：
k-times linear forms / 7：
Quadratic forms on R[superscript 2] / 7.0：
Cubic forms on R[superscript 2] / 7.3：
Use of complex numbers / 7.4：
Probes / 8：
Probes of smooth map-germs / 8.0：
Probing a map-germ V: R[superscript 2]--R / 8.2：
Optional reading / 8.3：
Contact / 9：
Contact equivalence / 9.0：
K-equivalence / 9.2：
Applications / 9.3：
Surfaces in R[superscript 3] / 10：
Euler's formula / 10.0：
The sophisticated approach / 10.2：
Lines of curvature / 10.3：
Focal curves of curvature / 10.4：
Ridges and ribs / 10.5：
The normal bundle of a surface / 11.0：
Isolated umbilics / 11.2：
The normal focal surface / 11.3：
A classification of focal points / 11.4：
More on ridges and ribs / 11.6：
Umbilics / 12：
Curves through umbilics / 12.0：
Classifications of umbilics / 12.2：
The main classification / 12.3：
Darboux's classification / 12.4：
Index / 12.5：
Straining a surface / 12.6：
The birth of umbilics / 12.7：
The parabolic line / 13：
Gaussian curvature / 13.0：
Koenderink's theorems / 13.2：
Subparabolic lines / 13.4：
Uses for inversion / 13.5：
Involutes of geodesic foliations / 14：
Cuspidal edges / 14.0：
The involutes of a geodesic foliation / 14.2：
Coxeter groups / 14.3：
The circles of a surface / 15：
The theorems of Euler and Meusnier / 15.0：
Osculating circles / 15.2：
Contours and umbilical hill-tops / 15.3：
Higher order osculating circles / 15.4：
Examples of surfaces / 16：
Tubes / 16.0：
Ellipsoids / 16.2：
Symmetrical singularities / 16.3：
Bumpy spheres / 16.4：
The minimal monkey-saddle / 16.5：
Flexcords of surfaces / 17：
Umbilics of quadrics / 17.0：
Characterisations of flexcords / 17.2：
Birth of umbilics / 17.3：
Duality / 17.4：
Curves in S[superscript 2] / 18.0：
Surfaces in S[superscript 3] / 18.2：
Curves in S[superscript 3] / 18.3：
Further reading
References
Introduction
Plane curves / 1：
Regular plane curves and their evolutes / 1.0：
95.
図書
Ana Cannas da Silva
目次情報:
続きを見る
Foreword
Introduction
Symplectic Manifolds / I：
Symplectic Forms / 1：
Skew-Symmetric Bilinear Maps / 1.1：
Symplectic Vector Spaces / 1.2：
Symplectomorphisms / 1.3：
Symplectic Linear Algebra / Homework 1：
Symplectic Form on the Cotangent Bundle / 2：
Cotangent Bundle / 2.1：
Tautological and Canonical Forms in Coordinates / 2.2：
Coordinate-Free Definitions / 2.3：
Naturality of the Tautological and Canonical Forms / 2.4：
Symplectic Volume / Homework 2：
Lagrangian Submanifolds / II：
Submanifolds / 3.1：
Lagrangian Submanifolds of T*X / 3.2：
Conormal Bundles / 3.3：
Application to Symplectomorphisms / 3.4：
Tautological Form and Symplectomorphisms / Homework 3：
Generating Functions / 4：
Constructing Symplectomorphisms / 4.1：
Method of Generating Functions / 4.2：
Application to Geodesic Flow / 4.3：
Geodesic Flow / Homework 4：
Recurrence / 5：
Periodic Points / 5.1：
Billiards / 5.2：
Poincaré Recurrence / 5.3：
Local Forms / III：
Preparation for the Local Theory / 6：
Isotopies and Vector Fields / 6.1：
Tubular Neighborhood Theorem / 6.2：
Homotopy Formula / 6.3：
Moser Theorems / Homework 5：
Notions of Equivalence for Symplectic Structures / 7.1：
Moser Trick / 7.2：
Moser Local Theorem / 7.3：
Darboux-Moser-Weinstein Theory / 8：
Classical Darboux Theorem / 8.1：
Lagrangian Subspaces / 8.2：
Weinstein Lagrangian Neighborhood Theorem / 8.3：
Oriented Surfaces / Homework 6：
Weinstein Tubular Neighborhood Theorem / 9：
Observation from Linear Algebra / 9.1：
Tubular Neighborhoods / 9.2：
Application 1: Tangent Space to the Group of Symplectomorphisms / 9.3：
Application 2: Fixed Points of Symplectomorphisms / 9.4：
Contact Manifolds / IV：
Contact Forms / 10：
Contact Structures / 10.1：
Examples / 10.2：
First Properties / 10.3：
Manifolds of Contact Elements / Homework 7：
Contact Dynamics / 11：
Reeb Vector Fields / 11.1：
Symplectization / 11.2：
Conjectures of Seifert and Weinstein / 11.3：
Compatible Almost Complex Structures / V：
Almost Complex Structures / 12：
Three Geometries / 12.1：
Complex Structures on Vector Spaces / 12.2：
Compatible Structures / 12.3：
Compatible Linear Structures / Homework 8：
Compatible Triples / 13：
Compatibility / 13.1：
Triple of Structures / 13.2：
First Consequences / 13.3：
Contractibility / Homework 9：
Dolbeault Theory / 14：
Splittings / 14.1：
Forms of Type (l, m) / 14.2：
J-Holomorphic Functions / 14.3：
Dolbeault Cohomology / 14.4：
Integrability / Homework 10：
Kähler Manifolds / VI：
Complex Manifolds / 15：
Complex Charts / 15.1：
Forms on Complex Manifolds / 15.2：
Differentials / 15.3：
Complex Projective Space / Homework 11：
Kähler Forms / 16：
An Application / 16.1：
Recipe to Obtain Kähler Forms / 16.3：
Local Canonical Form for Kähler Forms / 16.4：
The Fubini-Study Structure / Homework 12：
Compact Kähler Manifolds / 17：
Hodge Theory / 17.1：
Immediate Topological Consequences / 17.2：
Compact Examples and Counterexamples / 17.3：
Main Kähler Manifolds / 17.4：
Hamiltonian Mechanics / VII：
Hamiltonian Vector Fields / 18：
Hamiltonian and Symplectic Vector Fields / 18.1：
Classical Mechanics / 18.2：
Brackets / 18.3：
Integrable Systems / 18.4：
Simple Pendulum / Homework 13：
Variational Principles / 19：
Equations of Motion / 19.1：
Principle of Least Action / 19.2：
Variational Problems / 19.3：
Solving the Euler-Lagrange Equations / 19.4：
Minimizing Properties / 19.5：
Minimizing Geodesies / Homework 14：
Legendre Transform / 20：
Strict Convexity / 20.1：
Application to Variational Problems / 20.2：
Moment Maps / Homework 15：
Actions / 21：
One-Parameter Groups of Diffeomorphisms / 21.1：
Lie Groups / 21.2：
Smooth Actions / 21.3：
Symplectic and Hamiltonian Actions / 21.4：
Adjoint and Coadjoint Representations / 21.5：
Hermitian Matrices / Homework 16：
Hamiltonian Actions / 22：
Moment and Comoment Maps / 22.1：
Orbit Spaces / 22.2：
Preview of Reduction / 22.3：
Classical Examples / 22.4：
Coadjoint Orbits / Homework 17：
Symplectic Reduction / IX：
The Marsden-Weinstein-Meyer Theorem / 23：
Statement / 23.1：
Ingredients / 23.2：
Proof of the Marsden-Weinstein-Meyer Theorem / 23.3：
Reduction / 24：
Noether Principle / 24.1：
Elementary Theory of Reduction / 24.2：
Reduction for Product Groups / 24.3：
Reduction at Other Levels / 24.4：
Orbifolds / 24.5：
Spherical Pendulum / Homework 18：
Moment Maps Revisited / X：
Moment Map in Gauge Theory / 25：
Connections on a Principal Bundle / 25.1：
Connection and Curvature Forms / 25.2：
Symplectic Structure on the Space of Connections / 25.3：
Action of the Gauge Group / 25.4：
Case of Circle Bundles / 25.5：
Examples of Moment Maps / Homework 19：
Existence and Uniqueness of Moment Maps / 26：
Lie Algebras of Vector Fields / 26.1：
Lie Algebra Cohomology / 26.2：
Existence of Moment Maps / 26.3：
Uniqueness of Moment Maps / 26.4：
Examples of Reduction / Homework 20：
Convexity / 27：
Convexity Theorem / 27.1：
Effective Actions / 27.2：
Connectedness / 27.3：
Symplectic Toric Manifolds / XI：
Classification of Symplectic Toric Manifolds / 28：
Delzant Polytopes / 28.1：
Delzant Theorem / 28.2：
Sketch of Delzant Construction / 28.3：
Delzant Construction / 29：
Algebraic Set-Up / 29.1：
The Zero-Level / 29.2：
Conclusion of the Delzant Construction / 29.3：
Idea Behind the Delzant Construction / 29.4：
Duistermaat-Heckman Theorems / Homework 22：
Duistermaat-Heckman Polynomial / 30.1：
Local Form for Reduced Spaces / 30.2：
Variation of the Symplectic Volume / 30.3：
References / Homework 23：
Index
Foreword
Introduction
Symplectic Manifolds / I：
96.
図書
sponsored by American Meteorological Society
出版情報:
Boston, Mass. : American Meteorological Society, [2001] xxvii, 587, 171 p. ; 28 cm
子書誌情報:
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所蔵情報:
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目次情報:
Joint Sessions J1 and J2, Joint Poster Sessions JP1 and JP2 : 18th Conference on Weather Analysis and Forecasting, 14th Conference on Numerical Weather Prediction and Ninth Conference on Mesoscale Processes
Joint Sessions J1 and J2, Joint Poster Sessions JP1 and JP2 : 18th Conference on Weather Analysis and Forecasting, 14th Conference on Numerical Weather Prediction and Ninth Conference on Mesoscale Processes
97.
図書
ANTEC ; Society of Plastics Engineers
98.
図書
Stephan C. Carlson
出版情報:
New York : John Wiley & Sons, c2001 xii, 157 p. ; 25 cm
子書誌情報:
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Introduction and Intuitive Ideas / Chapter 1：
What Is Topology? / 1.1：
Getting More Formal / 1.2：
Functions and Homeomorphisms / 1.3：
Constructing Objects from Plane Models / 1.4：
Chapter Summary / 1.5：
Supplementary Exercises / 1.6：
Manifolds / Chapter 2：
Basic Definitions and Curves / 2.1：
Surfaces / 2.2：
Compact Surfaces and Plane Models / 2.3：
Three-dimensional Manifolds / 2.4：
Classification of Compact Surfaces / 2.5：
Connected Sums: New Surfaces from Old / 3.1：
The Algebra of Surfaces / 3.2：
The Classification Theorem: Preliminary Ideas / 3.3：
The Proof of the Classification Theorem / 3.4：
Putting More Structure on the Surfaces / 3.5：
Tilings on Surfaces and the Euler Characteristic / 4.1：
Patterns, Complexes, and Regularity / 4.2：
Coloring Maps on Surfaces / 4.3：
Graphs and Topology / 4.4：
What is a Graph? / 5.1：
Paths in Graphs / 5.2：
Embedding Graphs in Surfaces / 5.3：
Knot Theory / 5.4：
Knots and Links: the Basics / 6.1：
Oriented Links and Linking Number / 6.2：
Tricolorability of Knots and Links / 6.3：
Polynomial Invariants of Knots and Links / 6.4：
Appendix / 6.5：
References and Suggestions for Further Study
Index
Introduction and Intuitive Ideas / Chapter 1：
What Is Topology? / 1.1：
Getting More Formal / 1.2：
99.
図書
Jay Lee, David W. S. Wong
出版情報:
New York : John Wiley, 2001 xi, 192 p. ; 25 cm
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Attribute Descriptors / 1：
Central Tendency / 1.1：
Dispersion and Distribution / 1.2：
Relationship / 1.3：
Trend / 1.4：
Point Descriptors / 2：
The Nature of Point Features / 2.1：
Central Tendency of Point Distributions / 2.2：
Dispersion of Point Distributions / 2.3：
Application Examples / 2.4：
References / 2.4.1：
Pattern Detectors / 3：
Scale, Extent, and Projection / 3.1：
Quadrat Analysis / 3.2：
Nearest Neighbor Analysis / 3.3：
Spatial Autocorrelation / 3.4：
Line Descriptors / 3.5：
The Nature of Linear Features / 4.1：
Characteristics and Attributes of Linear Features / 4.2：
Directional Statistics / 4.3：
Network Analysis / 4.4：
Pattern Descriptors / 4.5：
Spatial Relationships / 5.1：
Spatial Weights Matrices / 5.2：
Types of Spatial Autocorrelation Measures and Some Notations / 5.4：
Joint Count Statistics / 5.5：
Moran and Geary Indices / 5.6：
General G-Statistic / 5.7：
Local Spatial Autocorrelation Statistics / 5.8：
Moran Scatterplot / 5.9：
Summary / 5.10：
Index / 5.11.1：
Attribute Descriptors / 1：
Central Tendency / 1.1：
Dispersion and Distribution / 1.2：
100.
図書
Günter Scharf
目次情報:
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Preface
Free fields / 1：
Bosonic scalar fields / 1.1：
Ferminoic scalar (ghost) fields / 1.2：
Massless vector fields / 1.3：
Operator gauge transformations / 1.4：
Massive vector fields / 1.5：
Fermionic vector (ghost) fields / 1.6：
Tensor fields / 1.7：
Spinor fields / 1.8：
Normally ordered products in free fields / 1.9：
Problems / 1.10：
Causal perturbation theory / 2：
The S-matrix in quantum mechanics / 2.1：
The method of Epstein and Glaser / 2.2：
Splitting of causal distributions in x-space / 2.3：
Splitting in momentum space / 2.4：
Calculation of tree graphs / 2.5：
Calculation of loop graphs / 2.6：
Normalizability / 2.7：
Spin-1 gauge theories: massless gauge fields / 2.8：
Perturbative gauge invariance / 3.1：
Self-coupling of gauge fields / 3.2：
Divergence and coboundary couplings / 3.3：
Yang-Mills theory to second order / 3.4：
Reductive Lie algebras / 3.5：
Coupling to matter fields / 3.6：
Gauge invariance to all orders / 3.7：
Unitarity / 3.8：
Other gauges / 3.9：
Gauge independence / 3.10：
Appendix A: Cauchy problem for the iterated wave equation / 3.11：
Spin-1 gauge theories: massive gauge fields / 3.12：
Massive QED and Abelian Higgs model / 4.1：
General massive gauge theory / 4.2：
First-order gauge invariance / 4.3：
Second-order gauge invariance / 4.4：
Third-order gauge invariance / 4.5：
Derivation of the electroweak gauge theory / 4.6：
Coupling to leptons / 4.7：
More fermionic families / 4.8：
Gauge invariance to third order: axial anomalies / 4.9：
Spin-2 gauge theory / 4.10：
Perturbative gauge invariance with tensor fields / 5.1：
The general spin-2 theory / 5.2：
Classification of spin-2 quantum gauge theories / 5.3：
Expansion of the Einstein-Hilbert Lagrangian / 5.5：
Q-vertex / 5.6：
Second-order gauge invariance: graviton sector / 5.7：
Second-order gauge invariance: ghost sector / 5.8：
Coupling to matter / 5.9：
Radiative corrections / 5.10：
Appendix B: Divergence couplings for gravity / 5.11：
Appendix C: General Q-vertex for quantum gravity / 5.12：
Bibliographical Notes / 5.13：
Index
Preface
Free fields / 1：
Bosonic scalar fields / 1.1：
図書
ＥＢ
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