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図書

図書
Stephen E. Palmer
出版情報: Cambridge, MA : MIT Press, c1999  xxii, 810 p., [8] p. of plates ; 26 cm
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Brief Contents
Contents
Preface
Organization of the Book
Foundations
Spatial Vision
Visual Dynamics
Tailoring the Book to Different Needs
Acknowledgments
An Introduction to Vision Science / Part I:
Visual Perception / 1.1:
Defining Visual Perception / 1.1.1:
The Evolutionary Utility of Vision / 1.1.2:
Perception as a Constructive Act / 1.1.3:
Perception as Modeling the Environment / 1.1.4:
Perception as Apprehension of Meaning / 1.1.5:
Optical Information / 1.2:
The Behavior of Light / 1.2.1:
The Formation of Images / 1.2.2:
Vision as an "Inverse" Problem / 1.2.3:
Visual Systems / 1.3:
The Human Eye / 1.3.1:
The Retina / 1.3.2:
Visual Cortex / 1.3.3:
Theoretical Approaches / 2:
Classical Theories of Vision / 2.1:
Structuralism / 2.1.1:
Gestaltism / 2.1.2:
Ecological Optics / 2.1.3:
Constructivism / 2.1.4:
A Brief History of Information Processing / 2.2:
Computer Vision / 2.2.1:
Information Processing Psychology / 2.2.2:
Biological Information Processing / 2.2.3:
Information Processing Theory / 2.3:
The Computer Metaphor / 2.3.1:
Three Levels of Information Processing / 2.3.2:
Three Assumptions of Information Processing / 2.3.3:
Representation / 2.3.4:
Processes / 2.3.5:
Four Stages of Visual Perception / 2.4:
The Retinal Image / 2.4.1:
The Image-Based Stage / 2.4.2:
The Surface-Based Stage / 2.4.3:
The Object-Based Stage / 2.4.4:
The Category-Based Stage / 2.4.5:
Color Vision: A Microcosm of Vision Science / 3:
The Computational Description of Color Perception / 3.1:
The Physical Description of Light / 3.1.1:
The Psychological Description of Color / 3.1.2:
The Psychophysical Correspondence / 3.1.3:
Image-Based Color Processing / 3.2:
Basic Phenomena / 3.2.1:
Theories of Color Vision / 3.2.2:
Physiological Mechanisms / 3.2.3:
Development of Color Vision / 3.2.4:
Surface-Based Color Processing / 3.3:
Lightness Constancy / 3.3.1:
Chromatic Color Constancy / 3.3.2:
Color Naming / 3.4:
Focal Colors and Prototypes / 3.4.2:
A Fuzzy-Logical Model of Color Naming / 3.4.3:
Processing Image Structure / Part II:
Retinal and Geniculate Cells / 4.1:
Striate Cortex / 4.1.2:
Striate Architecture / 4.1.3:
Development of Receptive Fields / 4.1.4:
Psychophysical Channels / 4.2:
Spatial Frequency Theory / 4.2.1:
Physiology of Spatial Frequency Channels / 4.2.2:
Computational Approaches / 4.3:
Marr's Primal Sketches / 4.3.1:
Edge Detection / 4.3.2:
Alternative Computational Theories / 4.3.3:
A Theoretical Synthesis / 4.3.4:
Visual Pathways / 4.4:
Physiologlcal Evidence / 4.4.1:
Perceptual Evidence / 4.4.2:
Perceiving Surfaces Oriented in Depth / 5:
The Problem of Depth Perception / 5.1:
Heuristic Assumptions / 5.1.1:
Marr's 2.5-D Sketch / 5.1.2:
Ocular Information / 5.2:
Accormmodation / 5.2.1:
Convergence / 5.2.2:
Stereoscopic Information / 5.3:
Binocular Disparity / 5.3.1:
The Correspondence Problem / 5.3.2:
Computational Theories / 5.3.3:
Vertical Disparity / 5.3.4:
Da Vinci Stereopsis / 5.3.6:
Dynamic Information / 5.4:
Motion Parallax / 5.4.1:
Optic Flow Caused by a Moving Observer / 5.4.2:
Optic Flow Caused by Moving Objects / 5.4.3:
Accretion/Deletion of Texture / 5.4.4:
Pictorial Information / 5.5:
Perspective Projection / 5.5.1:
Convergence of Parallel Lines / 5.5.2:
Position Relative to the Horizon of a Surface / 5.5.3:
Relative Size / 5.5.4:
Familiar Size / 5.5.5:
Texture Gradients / 5.5.6:
Edge Interpretation / 5.5.7:
Shading Information / 5.5.8:
Aerial Perspective / 5.5.9:
Integrating Information Sources / 5.5.10:
Development of Depth Perception / 5.6:
Organizing Objects and Scenes / 5.6.1:
Perceptual Grouping / 6.1:
The Classical Principles of Grouping / 6.1.1:
New Principles of Grouping / 6.1.2:
Measuring Grouping Effects Quantitatively / 6.1.3:
Is Grouping an Early or Late Process? / 6.1.4:
Past Experience / 6.1.5:
Region Analysis / 6.2:
Uniform Connectedness / 6.2.1:
Region Segmentation / 6.2.2:
Texture Segregation / 6.2.3:
Figure/Ground Organization / 6.3:
Principles of Figure/Ground Organization / 6.3.1:
Ecological Considerations / 6.3.2:
Effects of Meaningfulness / 6.3.3:
The Problem of Holes / 6.3.4:
Visual Interpolation / 6.4:
Visual Completion / 6.4.1:
Illusory Contours / 6.4.2:
Perceived Transparency / 6.4.3:
Figural Scission / 6.4.4:
The Principle of Nonaccidentalness / 6.4.5:
Multistability / 6.5:
Connectionist Network Models / 6.5.1:
Neural Fatigue / 6.5.2:
Eye Fixations / 6.5.3:
The Role of Instructions / 6.5.4:
Development of Perceptual Organization / 6.6:
The Habituation Paradigm / 6.6.1:
The Development of Grouping / 6.6.2:
Perceiving Object Properties and Parts / 7:
Size / 7.1:
Size Constancy / 7.1.1:
Size Illusions / 7.1.2:
Shape / 7.2:
Shape Constancy / 7.2.1:
Shape Illusions / 7.2.2:
Orientation / 7.3:
Orientation Constancy / 7.3.1:
Orientation Illusions / 7.3.2:
Position / 7.4:
Perception of Direction / 7.4.1:
Position Constancy / 7.4.2:
Position Illusions / 7.4.3:
Perceptual Adaptation / 7.5:
Parts / 7.6:
Evidence for Perception of Parts / 7.6.1:
Part Segmentation / 7.6.2:
Global and Local Processing / 7.6.3:
Representing Shape and Structure / 8:
Shape Equivalence / 8.1:
Defining Objective Shape / 8.1.1:
Invariant Features / 8.1.2:
Transformational Alignment / 8.1.3:
Object-Centered Reference Frames / 8.1.4:
Theories of Shape Representation / 8.2:
Templates / 8.2.1:
Fourier Spectra / 8.2.2:
Features and Dimensions / 8.2.3:
Structural Descriptions / 8.2.4:
Figural Goodness and Pragnanz / 8.3:
Theories of Figural Goodness / 8.3.1:
Structural Information Theory / 8.3.2:
Perceiving Function and Category / 9:
The Perception of Function / 9.1:
Direct Perception of Affordances / 9.1.1:
Indirect Perception of Function by Categorization / 9.1.2:
Phenomena of Perceptual Categorization / 9.2:
Categorical Hierarchies / 9.2.1:
Perspective Viewing Conditions / 9.2.2:
Part Structure / 9.2.3:
Contextual Effects / 9.2.4:
Visual Agnosia / 9.2.5:
Theories of Object Categorization / 9.3:
Recognition by Components Theory / 9.3.1:
Accounting for Empirical Phenomena / 9.3.2:
Viewpoint-Specific Theories / 9.3.3:
Identifying Letters and Words / 9.4:
Identifying Letters / 9.4.1:
Identifying Words and Letters Within Words / 9.4.2:
The Interactive Activation Model / 9.4.3:
Perceiving Motion and Events / Part III:
Image Motion / 10.1:
The Computational Problem of Motion / 10.1.1:
Continuous Motion / 10.1.2:
Apparent Motion / 10.1.3:
Object Motion / 10.1.4:
Perceiving Object Velocity / 10.2.1:
Depth and Motion / 10.2.2:
Long-Range Apparent Motion / 10.2.3:
Dynamic Perceptual Organization / 10.2.4:
Self-Motion and Optic Flow / 10.3:
Induced Motion of the Self / 10.3.1:
Perceiving Self-Motion / 10.3.2:
Understanding Events / 10.4:
Biological Motion / 10.4.1:
Perceiving Causation / 10.4.2:
Intuitive Physics / 10.4.3:
Visual Selection: Eye Movements And Attention / 11:
Eye Movements / 11.1:
Types Of Eye Movements / 11.1.1:
The Physiology Of The Oculomotor System / 11.1.2:
Saccaadic Exploration Of The Visual Environment / 11.1.3:
Visual Attention / 11.2:
Early Versus Late Selection / 11.2.1:
Costs and Benefits of Attention / 11.2.2:
Theories of Spatial Attention / 11.2.3:
Selective Attention to Properties / 11.2.4:
Distributed versus Focused Attention / 11.2.5:
Feature Integration Theory / 11.2.6:
The Physiology of Attention / 11.2.7:
Attention and Eye Movements / 11.2.8:
Visual Memory and Imagery / 12:
Visual Memory / 12.1:
Three Memory Systems / 12.1.1:
Iconic Memory / 12.1.2:
Visual Short-Term Memory / 12.1.3:
Visual Long-Term Memory / 12.1.4:
Memory Dynamics / 12.1.5:
Visual Imagery / 12.2:
The Analog/Propositional Debate / 12.2.1:
Mental Transformtions / 12.2.2:
Image Inspection / 12.2.3:
Kosslyn's Model of Imagery / 12.2.4:
The Relation of Imagery to Perception / 12.2.5:
Visual Awareness / 13:
Philosophical Foundations / 13.1:
The Mind-Body Problem / 13.1.1:
The Problem of Other Minds / 13.1.2:
Neuropsychology of Visual Awareness / 13.2:
Split-Brain Patients / 13.2.1:
Blindsight / 13.2.2:
Unconscious Processing in Neglect and Balint's Syndrome / 13.2.3:
Unconscious Face Recognition in Prosopagnosia / 13.2.4:
Visual Awareness in Normal Observers / 13.3:
Perceptual Defense / 13.3.1:
Subliminal Perception / 13.3.2:
Inattentional Blindsight / 13.3.3:
Theories of Consciousness / 13.4:
Functional Architecture Theories / 13.4.1:
Biological Theories / 13.4.2:
Consciousness and the Limits of Science / 13.4.3:
Psychophysical Methods / Appendix A:
Measuring Thresholds / A.1:
Method of Adjustment / A.1.1:
Method of Limits / A.1.2:
Method of Constant Stimuli / A.1.3:
The Theoretical Status of Thresholds / A.1.4:
Signal Detection Theory / A.2:
Response Bias / A.2.1:
The Signal Detection Paradigm / A.2.2:
The Theory of Signal Detectability / A.2.3:
Difference Thresholds / A.3:
Just Noticeable Differences / A.3.1:
Weber's Law / A.3.2:
Psychophysical Scaling / A.4:
Fechner's Law / A.4.1:
Stevens's Law / A.4.2:
Suggestions for Futher Reading
Connectionist Modeling / Appendix B:
Network Behavior / B.1:
Unit Behavior / B.1.1:
System Architecture / B.1.2:
Systemic Behavior / B.1.3:
Connectionist Learning Algorithms / B.2:
Back Propagation / B.2.1:
Gradient Descent / B.2.2:
Color Technology / Appendix C:
Additive versus Subtractive Color Mixture / C.1:
Adding versus Multiplying Spectra / C.1.1:
Maxwell's Color Triangle / C.1.2:
C.I.E. Color Space / C.1.3:
Subtractive Color Mixture Space? / C.1.4:
Color Television / C.2:
Paints and Dyes / C.3:
Subtractive Combination of Paints / C.3.1:
Additive Combination of Paints / C.3.2:
Color Photography / C.4:
Color Printing / C.5:
Suggestions for Further Reading
Glossary
References
Name Index
Subject Index
Brief Contents
Contents
Preface
2.

図書

図書
M. Elwenspoek, R. Wiegerink
出版情報: Berlin : Springer-Verlag, c2001  x, 295 p. ; 25 cm
シリーズ名: Microtechnology and MEMS
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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:
3.

図書

図書
F. Albert Cotton and Richard A. Walton
出版情報: Oxford : Clarendon Press , New York : Oxford University Press, 1993  xxii, 787 p. ; 25 cm
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Introduction and Survey
Prolog / 1.1:
From Werner to the new transition metal chemistry / 1.1.1:
Prior to about 1963 / 1.1.2:
How It All Began / 1.2:
Rhenium chemistry from 1963 to 1965 / 1.2.1:
The recognition of the quadruple bond / 1.2.2:
Initial work on other elements / 1.2.3:
An Overview of the Multiple Bonds / 1.3:
A qualitative picture of the quadruple bond / 1.3.1:
Bond orders less than four / 1.3.2:
Oxidation states / 1.3.3:
Growth of the Field / 1.4:
Going Beyond Two / 1.5:
Complexes of the Group 5 Elements
General Remarks / 2.1:
Divanadium Compounds / 2.2:
Triply-bonded divanadium compounds / 2.2.1:
Metal-metal vs metal-ligand bonding / 2.2.2:
Divanadium compounds with the highly reduced V23+ core / 2.2.3:
Diniobium Compounds / 2.3:
Diniobium paddlewheel complexes / 2.3.1:
Diniobium compounds with calix[4]arene ligands and related species / 2.3.2:
Tantalum / 2.4:
Chromium Compounds
Dichromium Tetracarboxylates / 3.1:
History and preparation / 3.1.1:
Properties of carboxylate compounds / 3.1.2:
Unsolvated Cr2(O2CR)4 compounds / 3.1.3:
Other Paddlewheel Compounds / 3.2:
The first 'supershort' bonds / 3.2.1:
2-Oxopyridinate and related compounds / 3.2.2:
Carboxamidate compounds / 3.2.3:
Amidinate compounds / 3.2.4:
Guanidinate compounds / 3.2.5:
Miscellaneous Dichromium Compounds / 3.3:
Compounds with intramolecular axial interactions / 3.3.1:
Compounds with Cr-C bonds / 3.3.2:
Other pertinent results / 3.3.3:
Concluding Remarks / 3.4:
Molybdenum Compounds
Dimolybdenum Bridged by Carboxylates or Other O,O Ligands / 4.1:
General remarks / 4.1.1:
Mo2(O2CR)4 compounds / 4.1.2:
Other compounds with bridging carboxyl groups / 4.1.3:
Paddlewheels with other O,O anion bridges / 4.1.4:
Paddlewheel Compounds with O,N, N,N and Other Bridging Ligands / 4.2:
Compounds with anionic O,N bridging ligands / 4.2.1:
Compounds with anionic N,N bridging ligands / 4.2.2:
Compounds with miscellaneous other anionic bridging ligands / 4.2.3:
Non-Paddlewheel Mo24+ Compounds / 4.3:
Mo2X84- and Mo2X6(H2O)22- compounds / 4.3.1:
[Mo2X8H]3- compounds / 4.3.2:
Other aspects of dimolybdenum halogen compounds / 4.3.3:
M2X4L4 and Mo2X4(LL)2 compounds / 4.3.4:
Cationic complexes of Mo24+ / 4.3.5:
Complexes of Mo24+ with macrocyclic, polydentate and chelate ligands / 4.3.6:
Alkoxide compounds of the types Mo2(OR)4L4 and Mo2(OR)4(LL)2 / 4.3.7:
Other Aspects of Mo24+ Chemistry / 4.4:
Cleavage of Mo24+ compounds / 4.4.1:
Redox behavior of Mo24+ compounds / 4.4.2:
Hydrides and organometallics / 4.4.3:
Heteronuclear Mo-M compounds / 4.4.4:
An overview of Mo-Mo bond lengths in Mo24+ compounds / 4.4.5:
Higher-order Arrays of Dimolybdenum Units / 4.5:
General concepts / 4.5.1:
Two linked pairs with carboxylate spectator ligands / 4.5.2:
Two linked pairs with nonlabile spectator ligands / 4.5.3:
Squares: four linked pairs / 4.5.4:
Loops: two pairs doubly linked / 4.5.5:
Rectangular cyclic quartets / 4.5.6:
Other structural types / 4.5.7:
Tungsten Compounds
Multiple Bonds in Ditungsten Compounds / 5.1:
The W24+ Tetracarboxylates / 5.2:
W24+ Complexes Containing Anionic Bridging Ligands Other Than Carboxylate / 5.3:
W24+ Complexes without Bridging Ligands / 5.4:
Compounds coordinated by only anionic ligands / 5.4.1:
Compounds coordinated by four anionic ligands and four neutral ligands / 5.4.2:
Multiple Bonds in Heteronuclear Dimetal Compounds of Molybdenum and Tungsten / 5.5:
Paddlewheel Compounds with W25+ or W26+ Cores / 5.6:
X3 M ≡ MX3 Compounds of Molybdenum and Tungsten
Introduction / 6.1:
Homoleptic X3M ≡ MX3 Compounds / 6.2:
Synthesis and characterization of homoleptic M2X6 compounds / 6.2.1:
Bonding in M2X6 compounds / 6.2.2:
X3M ≡ MX3 Compounds as Molecular Precursors to Extended Solids / 6.2.3:
M2X2(NMe2)4 and M2X4(NMe2)2 Compounds / 6.3:
Other M2X2Y4, M2X6-n Yn and Related Compounds / 6.4:
Mo2X2(CH2SiMe3)4 compounds / 6.4.1:
1,2-M2R2(NMe2)4 compounds and their derivatives / 6.4.2:
M4 Complexes: Clusters or Dimers? / 6.5:
Molybdenum and tungsten twelve-electron clusters M4(OR)12 / 6.5.1:
M4X4(OPri)8 (X = Cl, Br) and Mo4Br3(OPri)9 / 6.5.2:
W4 (p-tolyl)2 (OPri)10 / 6.5.3:
W4O(X)(OPri)9, (X = Cl or OPri) / 6.5.4:
K(18-crown-6)2Mo44-H)(OCH2But)12 / 6.5.5:
Linked M4 units containing localized MM triple bonds / 6.5.6:
M2X6L, M2X6L2 and Related Compounds / 6.6:
Mo2(CH2Ph)2(OPri)4(PMe3) and [Mo2(OR)7]- / 6.6.1:
M2(OR)6L2 compounds and their congeners / 6.6.2:
Amido-containing compounds / 6.6.3:
Mo2Br2(CHSiMe3)2(PMe3)4 / 6.6.4:
Calix[4]arene complexes / 6.6.5:
Triple Bonds Uniting Five- and Six-Coordinate Metal Atoms / 6.7:
Redox Reactions at the M26+ Unit / 6.8:
Organometallic Chemistry of M2(OR)6 and Related Compounds / 6.9:
Carbonyl adducts and their products / 6.9.1:
Isocyanide complexes / 6.9.2:
Reactions with alkynes / 6.9.3:
Reactions with C≡N bonds / 6.9.4:
Reactions with C=C bonds / 6.9.5:
Reactions with H2 / 6.9.6:
Reactions with organometallic compounds / 6.9.7:
(η-C5H4R)2W2X4 compounds where R = Me, Pri and X = Cl, Br / 6.9.8:
Conclusion / 6.10:
Technetium Compounds
Synthesis and Properties of Technetium / 7.1:
Preparation of Dinuclear and Polynuclear Technetium Compounds / 7.2:
Bonds of Order 4 and 3.5 / 7.3:
Tc26+ and Tc25+ Carboxylates and Related Species with Bridging Ligands / 7.4:
Bonds of Order 3 / 7.5:
Hexanuclear and Octanuclear Technetium Clusters / 7.6:
Rhenium Compounds
The Last Naturally Occurring Element to Be Discovered / 8.1:
Synthesis and Structure of the Octachlorodirhenate(III) Anion / 8.2:
Synthesis and Structure of the Other Octahalodirhenate(III) Anions / 8.3:
Substitution Reactions of the Octahalodirhenate(III) Anions that Proceed with Retention of the Re26+ Core / 8.4:
Monodentate anionic ligands / 8.4.1:
The dirhenium(III) carboxylates / 8.4.2:
Other anionic ligands / 8.4.3:
Neutral ligands / 8.4.4:
Dirhenium Compounds with Bonds of Order 3.5 and 3 / 8.5:
The first metal-metal triple bond: Re2Cl5(CH3SCH2CH2SCH3)2 and related species / 8.5.1:
Simple electron-transfer chemistry involving the octahalodirhenate(III) anions and related species that contain quadruple bonds / 8.5.2:
Oxidation of [Re2X8]2- to the nonahalodirhenate anions [Re2X9]n- (n = 1 or 2) / 8.5.3:
Re25+ and Re24+ halide complexes that contain phosphine ligands / 8.5.4:
Other Re25+ and Re24+ complexes / 8.5.5:
Other dirhenium compounds with triple bonds / 8.5.6:
Dirhenium Compounds with Bonds of Order Less than 3 / 8.6:
Cleavage of Re-Re Multiple Bonds by o-donor and π-acceptor Ligands / 8.7:
σ-Donor ligands / 8.7.1:
Jπ-Acceptor ligands / 8.7.2:
Other Types of Multiply Bonded Dirhenium Compounds / 8.8:
Postscript on Recent Developments / 8.9:
Ruthenium Compounds
Ru25+ Compounds / 9.1:
Ru25+ compounds with O,O′-donor bridging ligands / 9.2.1:
Ru25+ compounds with N,O-donor bridging ligands / 9.2.2:
Ru25+ compounds with N,N′-donor bridging ligands / 9.2.3:
Ru24+ Compounds / 9.3:
Ru24+ compounds with O,O′-donor bridging ligands / 9.3.1:
Ru24+ compounds with N,O-donor bridging ligands / 9.3.2:
Ru24+ compounds with N,N′-donor bridging ligands / 9.3.3:
Ru26+ Compounds / 9.4:
Ru26+ compounds with O,O′-donor bridging ligands / 9.4.1:
Ru26+ compounds with N,N′-donor bridging ligands / 9.4.2:
Compounds with Macrocyclic Ligands / 9.5:
Applications / 9.6:
Catalytic activity / 9.6.1:
Biological importance / 9.6.2:
Osmium Compounds
Syntheses, Structures and Reactivity of Os26+ Compounds / 10.1:
Syntheses and Structures of Os25+ Compounds / 10.2:
Syntheses and Structures of Other Os2 Compounds / 10.3:
Magnetism, Electronic Structures, and Spectroscopy / 10.4:
Iron, Cobalt and Iridium Compounds / 10.5:
Di-iron Compounds / 11.1:
Dicobalt Compounds / 11.3:
Tetragonal paddlewheel compounds / 11.3.1:
Trigonal paddlewheel compounds / 11.3.2:
Dicobalt compounds with unsupported bonds / 11.3.3:
Compounds with chains of cobalt atoms / 11.3.4:
Di-iridium Compounds / 11.4:
Paddlewheel compounds and related species / 11.4.1:
Unsupported Ir-Ir bonds / 11.4.2:
Other species with Ir-Ir bonds / 11.4.3:
Iridium blues / 11.4.4:
Rhodium Compounds
Dirhodium Tetracarboxylato Compounds / 12.1:
Preparative methods and classification / 12.2.1:
Structural studies / 12.2.2:
Other Dirhodium Compounds Containing Bridging Ligands / 12.3:
Complexes with fewer than four carboxylate bridging groups / 12.3.1:
Complexes supported by hydroxypyridinato, carboxamidato and other (N, O) donor monoanionic bridging groups / 12.3.2:
Complexes supported by amidinato and other (N, N) donor bridging groups / 12.3.3:
Complexes supported by sulfur donor bridging ligands / 12.3.4:
Complexes supported by phosphine and (P, N) donor bridging ligands / 12.3.5:
Complexes supported by carbonate, sulfate and phosphate bridging groups / 12.3.6:
Dirhodium Compounds with Unsupported Rh-Rh Bonds / 12.4:
The dirhodium(II) aquo ion / 12.4.1:
The [Rh2(NCR)10]4+ cations / 12.4.2:
Complexes with chelating and macrocyclic nitrogen ligands / 12.4.3:
Other Dirhodium Compounds / 12.5:
Complexes with isocyanide ligands / 12.5.1:
Rhodium blues / 12.5.2:
Reactions of Rh24+ Compounds / 12.6:
Oxidation to Rh25+ and Rh26+ species / 12.6.1:
Cleavage of the Rh-Rh bond / 12.6.2:
Applications of Dirhodium Compounds / 12.7:
Catalysis / 12.7.1:
Supramolecular arrays based on dirhodium building blocks / 12.7.2:
Biological applications of dirhodium compounds / 12.7.3:
Photocatalytic reactions / 12.7.4:
Other applications / 12.7.5:
Chiral Dirhodium(II) Catalysts and Their Applications
Synthetic and Structural Aspects of Chiral Dirhodium(II) Carboxamidates / 13.1:
Synthetic and Structural Aspects of Dirhodium(II) Complexes Bearing Orthometalated Phosphines / 13.3:
Dirhodium(II) Compounds as Catalysts / 13.4:
Catalysis of Diazo Decomposition / 13.5:
Chiral Dirhodium(II) Carboxylates / 13.6:
Chiral Dirhodium(II) Carboxamidates / 13.7:
Catalytic Asymmetric Cyclopropanation and Cyclopropenation / 13.8:
Intramolecular reactions / 13.8.1:
Intermolecular reactions / 13.8.2:
Cyclopropenation / 13.8.3:
Macrocyclization / 13.8.4:
Metal Carbene Carbon-Hydrogen Insertion / 13.9:
Catalytic Ylide Formation and Reactions / 13.9.1:
Additional Transformations of Diazo Compounds Catalyzed by Dirhodium(II) / 13.11:
Silicon-Hydrogen Insertion / 13.12:
Nickel, Palladium and Platinum Compounds
Dinickel Compounds / 14.1:
Dipalladium Compounds / 14.3:
A singly bonded Pd26+ species / 14.3.1:
Chemistry of Pd25+ and similar species / 14.3.2:
Other compounds with Pd-Pd interactions / 14.3.3:
Diplatinum Compounds / 14.4:
Complexes with sulfate and phosphate bridges / 14.4.1:
Complexes with pyrophosphite and related ligands / 14.4.2:
Complexes with carboxylate, formamidinate and related ligands / 14.4.3:
Complexes containing monoanionic bridging ligands with N,O and N,S donor sets / 14.4.4:
Unsupported Pt-Pt bonds / 14.4.5:
Dinuclear Pt25+ species / 14.4.6:
The platinum blues / 14.4.7:
Other compounds
Extended Metal Atom Chains
Overview / 15.1:
EMACs of Chromium / 15.2:
EMACs of Cobalt / 15.3:
EMACs of Nickel and Copper / 15.4:
EMACs of Ruthenium and Rhodium / 15.5:
Other Metal Atom Chains / 15.6:
Physical, Spectroscopic and Theoretical Results
Structural Correlations / 16.1:
Bond orders and bond lengths / 16.1.1:
Internal rotation / 16.1.2:
Axial ligands / 16.1.3:
Comparison of second and third transition series homologs / 16.1.4:
Disorder in crystals / 16.1.5:
Rearrangements of M2X8 type molecules / 16.1.6:
Diamagnetic anisotropy of M-M multiple bonds / 16.1.7:
Thermodynamics / 16.2:
Thermochemical data / 16.2.1:
Bond energies / 16.2.2:
Electronic Structure Calculations / 16.3:
Background / 16.3.1:
[M2X8]n- and M2X4(PR3)4 species / 16.3.2:
The M2(O2CR)4 (M = Cr, Mo, W) molecules / 16.3.3:
M2(O2CR)4R′2 (M = Mo, W) compounds / 16.3.4:
Dirhodium species / 16.3.5:
Diruthenium compounds / 16.3.6:
M2X6 molecules (M = Mo, W) / 16.3.7:
Other calculations / 16.3.8:
Electronic Spectra / 16.4:
Details of the δ manifold of states / 16.4.1:
Observed δ → δ* transitions / 16.4.2:
Other electronic absorption bands of Mo2, W2, Tc2 and Re2 species / 16.4.3:
Spectra of Rh2, Pt2, Ru2 and Os2 compounds / 16.4.4:
CD and ORD spectra / 16.4.5:
Excited state distortions inferred from vibronic structure / 16.4.6:
Emission spectra and photochemistry / 16.4.7:
Photoelectron Spectra / 16.5:
Paddlewheel molecules / 16.5.1:
Other tetragonal molecules / 16.5.2:
M2X6 molecules / 16.5.3:
Miscellaneous other PES results / 16.5.4:
Vibrational Spectra / 16.6:
M-M stretching vibrations / 16.6.1:
M-L stretching vibrations / 16.6.2:
Other types of Spectra / 16.7:
Electron Paramagnetic Resonance / 16.7.1:
X-Ray spectra, EXAFS, and XPS / 16.7.2:
Abbreviations
Index
Introduction and Survey
Prolog / 1.1:
From Werner to the new transition metal chemistry / 1.1.1:
4.

図書

図書
Thomas Heinzel
出版情報: Weinheim : Wiley-VCH, c2003  337 p. ; 25 cm
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Introduction / 1:
Preliminary remarks / 1.1:
Mesoscopic transport / 1.2:
Ballistic transport / 1.2.1:
The quantum Hall effect and Shubnikov - de Haas oscillations / 1.2.2:
Size quantization / 1.2.3:
Phase coherence / 1.2.4:
Single electron tunnelling and quantum dots / 1.2.5:
Superlattices / 1.2.6:
Samples and experimental techniques / 1.2.7:
An Update of Solid State Physics / 2:
Crystal structures / 2.1:
Electronic energy bands / 2.2:
Occupation of energy bands / 2.3:
The electronic density of states / 2.3.1:
Occupation probability and chemical potential / 2.3.2:
Intrinsic carrier concentration / 2.3.3:
Envelope wave functions / 2.4:
Doping / 2.5:
Diffusive transport and the Boltzmann equation / 2.6:
The Boltzmann equation / 2.6.1:
The conductance predicted by the simplified Boltzmann equation / 2.6.2:
The magneto-resistivity tensor / 2.6.3:
Scattering mechanisms / 2.7:
Screening / 2.8:
Surfaces, Interfaces, and Layered Devices / 3:
Electronic surface states / 3.1:
Surface states in one dimension / 3.1.1:
Surfaces of 3-dimensional crystals / 3.1.2:
Band bending and Fermi level pinning / 3.1.3:
Semiconductor-metal interfaces / 3.2:
Band alignment and Schottky barriers / 3.2.1:
Ohmic contacts / 3.2.2:
Semiconductor heterointerfaces / 3.3:
Field effect transistors and quantum wells / 3.4:
The silicon metal-oxide-semiconductor FET (Si-MOSFET) / 3.4.1:
The Ga[Al]As high electron mobility transistor (GaAs-HEMT) / 3.4.2:
Other types of layered devices / 3.4.3:
Quantum confined carriers in comparison to bulk carriers / 3.4.4:
Experimental Techniques / 4:
Sample fabrication / 4.1:
Single crystal growth / 4.1.1:
Growth of layered structures / 4.1.2:
Lateral patterning / 4.1.3:
Metallization / 4.1.4:
Bonding / 4.1.5:
Elements of cryogenics / 4.2:
Properties of liquid helium / 4.2.1:
Helium cryostats / 4.2.2:
Electronic measurements on nanostructures / 4.3:
Sample holders / 4.3.1:
Application and detection of electronic signals / 4.3.2:
Important Quantities in Mesoscopic Transport / 5:
Magnetotransport Properties of Quantum Films / 6:
Landau quantization / 6.1:
2DEGs in perpendicular magnetic fields / 6.1.1:
The chemical potential in strong magnetic fields / 6.1.2:
The quantum Hall effect / 6.2:
Phenomenology / 6.2.1:
Origin of the integer quantum Hall effect / 6.2.2:
The quantum Hall effect and three dimensions / 6.2.3:
Elementary analysis of Shubnikov-de Haas oscillations / 6.3:
Some examples of magnetotransport experiments / 6.4:
Quasi-two-dimensional electron gases / 6.4.1:
Mapping of the probability density / 6.4.2:
Displacement of the quantum Hall plateaux / 6.4.3:
Parallel magnetic fields / 6.5:
Quantum Wires and Quantum Point Contacts / 7:
Diffusive quantum wires / 7.1:
Basic properties / 7.1.1:
Boundary scattering / 7.1.2:
Ballistic quantum wires / 7.2:
Conductance quantization in QPCs / 7.2.1:
Magnetic field effects / 7.2.3:
The "0.7 structure" / 7.2.4:
Four-probe measurements on ballistic quantum wires / 7.2.5:
The Landauer-Buttiker formalism / 7.3:
Edge states / 7.3.1:
Edge channels / 7.3.2:
Further examples of quantum wires / 7.4:
Conductance quantization in conventional metals / 7.4.1:
Carbon nanotubes / 7.4.2:
Quantum point contact circuits / 7.5:
Non-ohmic behavior of collinear QPCs / 7.5.1:
QPCs in parallel / 7.5.2:
Concluding remarks / 7.6:
Electronic Phase Coherence / 8:
The Aharonov-Bohm effect in mesoscopic conductors / 8.1:
Weak localization / 8.2:
Universal conductance fluctuations / 8.3:
Phase coherence in ballistic 2DEGs / 8.4:
Resonant tunnelling and S - matrices / 8.5:
Singe Electron Tunnelling / 9:
The principle of Coulomb blockade / 9.1:
Basic single electron tunnelling circuits / 9.2:
Coulomb blockade at the double barrier / 9.2.1:
Current-voltage characteristics: the Coulomb staircase / 9.2.2:
The SET transistor / 9.2.3:
SET circuits with many islands; the single electron pump / 9.3:
Quantum Dots / 10:
Phenomenology of quantum dots / 10.1:
The constant interaction model / 10.2:
Beyond the constant interaction model / 10.3:
Shape of conductance resonances and current-voltage characteristics / 10.4:
Other types of quantum dots / 10.5:
Mesoscopic Superlattices / 11:
One-dimensional superlattices / 11.1:
Two-dimensional superlattices / 11.2:
SI and cgs Units / A:
Appendices
Correlation and Convolution / B:
Fourier transofrmation / B.1:
Convolutions / B.2:
Correlation functions / B.3:
Capacitance Matrix and Electrostatic Energy / C:
The Transfer Hamiltonian / D:
Solutions to Selected Exercises / E:
References
Index
Introduction / 1:
Preliminary remarks / 1.1:
Mesoscopic transport / 1.2:
5.

図書

図書
edited by Yoshimi Ito
出版情報: New York : McGraw-Hill, c2010  xx, 214 p. ; 24 cm
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Preface
Abbreviations
Nomenclature
Table for Conversation
Fundamentals in Design of Structural Body Components / 1:
Necessities and Importance of Lightweighted Structure in Reduction of Thermal Deformation-Discussion Using Mathematical Models / 1.1:
First-hand View for Lightweighted Structures with High Stiffness and Damping in Practice / 1.2:
Axi-symmetrical Configuration-Portal Column (Column of Twin-Pillar Type) / 1.2.1:
Placement and Allocation of Structural Configuration Entities / 1.2.2:
References
What Is Thermal Deformation? / 2:
General Behavior of Thermal Deformation / 2.1:
Estimation of Heat Sources and Their Magnitudes / 2.2:
Estimation of Heat Source Position / 2.2.1:
Estimation of Magnitude of Heat Generation / 2.2.2:
Estimation of Thermal Deformation of Machine Tools / 2.3:
Estimation of Thermal Deformation in General / 2.3.1:
Thermal Deformation Caused by Inner Heat Sources / 2.3.2:
Thermal Deformation Caused by Both Inner and Outer Heat Sources / 2.3.3:
Heat Sources Generated by Chips and Their Dissipation / 2.4:
Mathematical Model of Chips / 2.4.1:
Thermal Properties of Chips-Equivalent Thermal Conductivity and Contact Resistance / 2.4.2:
An Example of Heat Transfer from Piled Chips to Machine Tool Structure / 2.4.3:
Dissipation of Chips / 2.4.4:
Future Perspectives in Research and Development for Heat Sources and Dissipation / 2.5:
Structural Materials and Design for Preferable Thermal Stability / 3:
Remedies Concerning Raw Materials for Structural Body Components / 3.1:
Concrete / 3.1.1:
Painting and Coating Materials / 3.1.2:
New Materials / 3.1.3:
Remedies Concerning Structural Configurations and Plural-Spindle Systems / 3.2:
Non-Sensitive Structure / 3.2.1:
Non-Constraint Structure / 3.2.2:
Deformation Minimization Structure / 3.2.3:
Plural-Spindle Systems-Twin-Spindle Configuration Including Spindle-over-Spindle Type / 3.2.4:
Future Perspectives in Research and Development for Structural Configuration to Minimize Thermal Deformation / 3.3:
Two-Layered Spindle with Independent Rotating Function / 3.3.1:
Selective Modular Design for Advanced Quinaxial-Controlled MC with Turning Function / 3.3.2:
Various Remedies for Reduction of Thermal Deformation / 4:
Thermal Deformations and Effective Remedies / 4.1:
Classification of Remedies for Reduction of Thermal Deformation / 4.2:
Separation of Heat Sources / 4.2.1:
Reduction of Generated Heat / 4.2.2:
Equalization of Temperature Distribution / 4.2.3:
Compensation of Thermal Deformations / 4.2.4:
Innovative Remedies for Minimizing Thermal Deformation in the Near Future / 4.3:
Appendix
Optimization of Structural Design / A.1:
Finite Element Analysis for Thermal Behavior / 5:
Numerical Computation for Thermal Problems in General / 5.1:
Introduction / 5.1.1:
Finite Element Method / 5.1.2:
Finite Differences Method / 5.1.3:
Decision Making for the Selection of Methods / 5.1.4:
Procedure for Thermal Finite Element Analysis / 5.2:
Discretisation / 5.2.1:
Materials / 5.2.3:
Assembling Components to an Entire Machine Tool Model / 5.2.4:
Boundary Conditions / 5.2.5:
Loadcases / 5.2.6:
Linear and Non-Linear Thermal Computation / 5.2.7:
Determination of Boundary Conditions / 5.3:
Convection Heat Transfer Coefficients / 5.3.1:
Emission Coefficients and View Factors / 5.3.3:
Heat Sources and Sinks / 5.3.4:
Thermomechanical Simulation Process / 5.4:
Serial Processing / 5.4.1:
Coupled Processing / 5.4.3:
Future Perspectives in Research and Development for Thermal FEA / 5.5:
Engineering Computation for Thermal Behavior and Thermal Performance Test / 6:
Tank Model / 6.1:
Bond Graph Simulation to Estimate Thermal Behavior within High-Voltage and NC Controllers / 6.2:
Thermal Performance Testing / 6.3:
Index
Preface
Abbreviations
Nomenclature
6.

図書

図書
Stephen I. Gallant
出版情報: Cambridge, Mass. : MIT Press, c1993  xvi, 365 p. ; 24 cm
シリーズ名: Bradford book
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Foreword
Basics / I:
Introduction and Important Definitions / 1:
Why Connectionist Models? / 1.1:
The Grand Goals of Al and Its Current Impasse / 1.1.1:
The Computational Appeal of Neural Networks / 1.1.2:
The Structure of Connectionist Models / 1.2:
Network Properties / 1.2.1:
Cell Properties / 1.2.2:
Dynamic Properties / 1.2.3:
Learning Properties / 1.2.4:
Two Fundamental Models: Multilayer Perceptrons (MLP's) and Backpropagation Networks (BPN's) / 1.3:
Multilayer Perceptrons (MLP's) / 1.3.1:
Backpropagation Networks (BPN's) / 1.3.2:
Gradient Descent / 1.4:
The Algorithm / 1.4.1:
Practical Problems / 1.4.2:
Comments / 1.4.3:
Historic and Bibliographic Notes / 1.5:
Early Work / 1.5.1:
The Decline of the Perceptron / 1.5.2:
The Rise of Connectionist Research / 1.5.3:
Other Bibliographic Notes / 1.5.4:
Exercises / 1.6:
Programming Project / 1.7:
Representation Issues / 2:
Representing Boolean Functions / 2.1:
Equivalence of {+1, -1,0} and {1,0} Forms / 2.1.1:
Single-Cell Models / 2.1.2:
Nonseparable Functions / 2.1.3:
Representing Arbitrary Boolean Functions / 2.1.4:
Representing Boolean Functions Using Continuous Connectionist Models / 2.1.5:
Distributed Representations / 2.2:
Definition / 2.2.1:
Storage Efficiency and Resistance to Error / 2.2.2:
Superposition / 2.2.3:
Learning / 2.2.4:
Feature Spaces and ISA Relations / 2.3:
Feature Spaces / 2.3.1:
Concept-Function Unification / 2.3.2:
ISA Relations / 2.3.3:
Binding / 2.3.4:
Representing Real-Valued Functions / 2.4:
Approximating Real Numbers by Collections of Discrete Cells / 2.4.1:
Precision / 2.4.2:
Approximating Real Numbers by Collections of Continuous Cells / 2.4.3:
Example: Taxtime! / 2.5:
Programming Projects / 2.6:
Learning In Single-Layer Models / II:
Perceptron Learning and the Pocket Algorithm / 3:
Perceptron Learning for Separable Sets of Training Examples / 3.1:
Statement of the Problem / 3.1.1:
Computing the Bias / 3.1.2:
The Perceptron Learning Algorithm / 3.1.3:
Perceptron Convergence Theorem / 3.1.4:
The Perceptron Cycling Theorem / 3.1.5:
The Pocket Algorithm for Nonseparable Sets of Training Examples / 3.2:
Problem Statement / 3.2.1:
Perceptron Learning Is Poorly Behaved / 3.2.2:
The Pocket Algorithm / 3.2.3:
Ratchets / 3.2.4:
Examples / 3.2.5:
Noisy and Contradictory Sets of Training Examples / 3.2.6:
Rules / 3.2.7:
Implementation Considerations / 3.2.8:
Proof of the Pocket Convergence Theorem / 3.2.9:
Khachiyan's Linear Programming Algorithm / 3.3:
Winner-Take-All Groups or Linear Machines / 3.4:
Generalizes Single-Cell Models / 4.1:
Perceptron Learning for Winner-Take-All Groups / 4.2:
The Pocket Algorithm for Winner-Take-All Groups / 4.3:
Kessler's Construction, Perceptron Cycling, and the Pocket Algorithm Proof / 4.4:
Independent Training / 4.5:
Autoassociators and One-Shot Learning / 4.6:
Linear Autoassociators and the Outer-Product Training Rule / 5.1:
Anderson's BSB Model / 5.2:
Hopfieid's Model / 5.3:
Energy / 5.3.1:
The Traveling Salesman Problem / 5.4:
The Cohen-Grossberg Theorem / 5.5:
Kanerva's Model / 5.6:
Autoassociative Filtering for Feedforward Networks / 5.7:
Concluding Remarks / 5.8:
Mean Squared Error (MSE) Algorithms / 5.9:
Motivation / 6.1:
MSE Approximations / 6.2:
The Widrow-Hoff Rule or LMS Algorithm / 6.3:
Number of Training Examples Required / 6.3.1:
Adaline / 6.4:
Adaptive Noise Cancellation / 6.5:
Decision-Directed Learning / 6.6:
Unsupervised Learning / 6.7:
Introduction / 7.1:
No Teacher / 7.1.1:
Clustering Algorithms / 7.1.2:
k-Means Clustering / 7.2:
Topology-Preserving Maps / 7.2.1:
Example / 7.3.1:
Demonstrations / 7.3.4:
Dimensionality, Neighborhood Size, and Final Comments / 7.3.5:
Art1 / 7.4:
Important Aspects of the Algorithm / 7.4.1:
Art2 / 7.4.2:
Using Clustering Algorithms for Supervised Learning / 7.6:
Labeling Clusters / 7.6.1:
ARTMAP or Supervised ART / 7.6.2:
Learning In Multilayer Models / 7.7:
The Distributed Method and Radial Basis Functions / 8:
Rosenblatt's Approach / 8.1:
The Distributed Method / 8.2:
Cover's Formula / 8.2.1:
Robustness-Preserving Functions / 8.2.2:
Hepatobiliary Data / 8.3:
Artificial Data / 8.3.2:
How Many Cells? / 8.4:
Pruning Data / 8.4.1:
Leave-One-Out / 8.4.2:
Radial Basis Functions / 8.5:
A Variant: The Anchor Algorithm / 8.6:
Scaling, Multiple Outputs, and Parallelism / 8.7:
Scaling Properties / 8.7.1:
Multiple Outputs and Parallelism / 8.7.2:
A Computational Speedup for Learning / 8.7.3:
Computational Learning Theory and the BRD Algorithm / 8.7.4:
Introduction to Computational Learning Theory / 9.1:
PAC-Learning / 9.1.1:
Bounded Distributed Connectionist Networks / 9.1.2:
Probabilistic Bounded Distributed Concepts / 9.1.3:
A Learning Algorithm for Probabilistic Bounded Distributed Concepts / 9.2:
The BRD Theorem / 9.3:
Polynomial Learning / 9.3.1:
Noisy Data and Fallback Estimates / 9.4:
Vapnik-Chervonenkis Bounds / 9.4.1:
Hoeffding and Chernoff Bounds / 9.4.2:
Pocket Algorithm / 9.4.3:
Additional Training Examples / 9.4.4:
Bounds for Single-Layer Algorithms / 9.5:
Fitting Data by Limiting the Number of Iterations / 9.6:
Discussion / 9.7:
Exercise / 9.8:
Constructive Algorithms / 9.9:
The Tower and Pyramid Algorithms / 10.1:
The Tower Algorithm / 10.1.1:
Proof of Convergence / 10.1.2:
A Computational Speedup / 10.1.4:
The Pyramid Algorithm / 10.1.5:
The Cascade-Correlation Algorithm / 10.2:
The Tiling Algorithm / 10.3:
The Upstart Algorithm / 10.4:
Other Constructive Algorithms and Pruning / 10.5:
Easy Learning Problems / 10.6:
Decomposition / 10.6.1:
Expandable Network Problems / 10.6.2:
Limits of Easy Learning / 10.6.3:
Backpropagation / 10.7:
The Backpropagation Algorithm / 11.1:
Statement of the Algorithm / 11.1.1:
A Numerical Example / 11.1.2:
Derivation / 11.2:
Practical Considerations / 11.3:
Determination of Correct Outputs / 11.3.1:
Initial Weights / 11.3.2:
Choice of r / 11.3.3:
Momentum / 11.3.4:
Network Topology / 11.3.5:
Local Minima / 11.3.6:
Activations in [0,1] versus [-1, 1] / 11.3.7:
Update after Every Training Example / 11.3.8:
Other Squashing Functions / 11.3.9:
NP-Completeness / 11.4:
Overuse / 11.5:
Interesting Intermediate Cells / 11.5.2:
Continuous Outputs / 11.5.3:
Probability Outputs / 11.5.4:
Using Backpropagation to Train Multilayer Perceptrons / 11.5.5:
Backpropagation: Variations and Applications / 11.6:
NETtalk / 12.1:
Input and Output Representations / 12.1.1:
Experiments / 12.1.2:
Backpropagation through Time / 12.1.3:
Handwritten Character Recognition / 12.3:
Neocognitron Architecture / 12.3.1:
The Network / 12.3.2:
Robot Manipulator with Excess Degrees of Freedom / 12.3.3:
The Problem / 12.4.1:
Training the Inverse Network / 12.4.2:
Plan Units / 12.4.3:
Simulated Annealing and Boltzmann Machines / 12.4.4:
Simulated Annealing / 13.1:
Boltzmann Machines / 13.2:
The Boltzmann Model / 13.2.1:
Boltzmann Learning / 13.2.2:
The Boltzmann Algorithm and Noise Clamping / 13.2.3:
Example: The 4-2-4 Encoder Problem / 13.2.4:
Remarks / 13.3:
Neural Network Expert Systems / 13.4:
Expert Systems and Neural Networks / 14:
Expert Systems / 14.1:
What Is an Expert System? / 14.1.1:
Why Expert Systems? / 14.1.2:
Historically Important Expert Systems / 14.1.3:
Critique of Conventional Expert Systems / 14.1.4:
Neural Network Decision Systems / 14.2:
Example: Diagnosis of Acute Coronary Occlusion / 14.2.1:
Example: Autonomous Navigation / 14.2.2:
Other Examples / 14.2.3:
Decision Systems versus Expert Systems / 14.2.4:
MACIE, and an Example Problem / 14.3:
Diagnosis and Treatment of Acute Sarcophagal Disease / 14.3.1:
Network Generation / 14.3.2:
Sample Run of Macie / 14.3.3:
Real-Valued Variables and Winner-Take-All Groups / 14.3.4:
Not-Yet-Known versus Unavailable Variables / 14.3.5:
Applicability of Neural Network Expert Systems / 14.4:
Details of the MACIE System / 14.5:
Inferencing and Forward Chaining / 15.1:
Discrete Multilayer Perceptron Models / 15.1.1:
Continuous Variables / 15.1.2:
Winner-Take-All Groups / 15.1.3:
Using Prior Probabilities for More Aggressive Inferencing / 15.1.4:
Confidence Estimation / 15.2:
A Confidence Heuristic Prior to Inference / 15.2.1:
Confidence in Inferences / 15.2.2:
Information Acquisition and Backward Chaining / 15.3:
Concluding Comment / 15.4:
Noise, Redundancy, Fault Detection, and Bayesian Decision Theory / 15.5:
The High Tech Lemonade Corporation's Problem / 16.1:
The Deep Model and the Noise Model / 16.2:
Generating the Expert System / 16.3:
Probabilistic Analysis / 16.4:
Noisy Single-Pattern Boolean Fault Detection Problems / 16.5:
Convergence Theorem / 16.6:
Extracting Rules from networks / 16.7:
Why Rules? / 17.1:
What Kind of Rules? / 17.2:
Criteria / 17.2.1:
Inference Justifications versus Rule Sets / 17.2.2:
Which Variables in Conditions / 17.2.3:
Inference Justifications / 17.3:
MACIE's Algorithm / 17.3.1:
The Removal Algorithm / 17.3.2:
Key Factor Justifications / 17.3.3:
Justifications for Continuous Models / 17.3.4:
Rule Sets / 17.4:
Limiting the Number of Conditions / 17.4.1:
Approximating Rules / 17.4.2:
Conventional + Neural Network Expert Systems / 17.5:
Debugging an Expert System Knowledge Base / 17.5.1:
The Short-Rule Debugging Cycle / 17.5.2:
Appendix Representation Comparisons / 17.6:
DNF Expressions / A.1 DNF Expressions and Polynomial Representability:
Polynomial Representability / A.1.2:
Space Comparison of MLP and DNF Representations / A.1.3:
Speed Comparison of MLP and DNF Representations / A.1.4:
MLP versus DNF Representations / A.1.5:
Decision Trees / A.2:
Representing Decision Trees by MLP's / A.2.1:
Speed Comparison / A.2.2:
Decision Trees versus MLP's / A.2.3:
p-lDiagrams / A.3:
Symmetric Functions and Depth Complexity / A.4:
Bibliography / A.5:
Index
Foreword
Basics / I:
Introduction and Important Definitions / 1:
7.

図書

図書
Yoshiharu Doi
出版情報: New York, N.Y. : VCH, c1990  ix, 156 p. ; 23 cm
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Introduction / Chapter 1:
Microbial Poly(3-hydroxybutyrate) / 1.1:
Microbial Poly(hydroxyalkanoates) / 1.2:
Environmentally Degradable Polyesters / 1.3:
References
Fermentation and Analysis of Microbial Polyesters / Chapter 2:
Fermentation Production / 2.1:
Poly(3-hydroxybutyrate) / 2.1.1:
Poly(hydroxyalkanoates) / 2.1.2:
Polymer Isolation / 2.2:
Solvent Extraction / 2.2.1:
Alkaline Hypochlorite Treatment / 2.2.2:
Enzyme Treatment / 2.2.3:
Analysis / 2.3:
Polyester Content of Cells / 2.3.1:
Composition of Copolymers / 2.3.2:
Molecular Weight? / 2.3.3:
Microorganisms and Poly(3-hydroxyalkanoates) / Chapter 3:
Poly(3-hydroxybutyrate) in Microorganisms / 3.1:
Functions of Poly(3-hydroxybutyrate) / 3.1.1:
Structure of Native P(3HB) Granules / 3.1.2:
Biosynthesis of Poly(3-hydroxyalkanoates) / 3.2:
Alcaligenes eutrophus / 3.2.1:
Pseudomonas oleovorans / 3.2.2:
Other Bacterial Strains / 3.2.3:
Molecular Structures of Poly(3-hydroxyalkanoates) / 3.3:
Poly(3-hydroxybutyrate-co-3-hydroxyalerate) / 3.3.1:
Poly(3-hydroxyalkanoates-co-3-hydroxy--chloroalkanoates) / 3.3.2:
Poly(3-hydroxyalkanoates) Metabolism / Chapter 4:
Pathways of Poly(3-hydroxybutyrate) Synthesis / 4.1:
Pathways of Poly(3-hydroxyalkanoates) Synthesis / 4.2:
Enzymology of Poly(3-hydroxyalkanoates) Synthesis / 4.3:
3-Ketothiolase / 4.3.1:
Acetoacetyl-CoA Reductase / 4.3.2:
P(3HB) Synthase / 4.3.3:
Pathways of P(3-hydroxybutyrate) Degradation / 4.4:
Cyclic Nature of Poly(3-hydroxyalkanoates) Metabolism / 4.5:
Replacement of P(3HB) by P(3HB-co-3HV) / 4.5.1:
Replacement of P(3HB-co-3HV) by P(3HB) / 4.5.2:
Application to PHA Fermentation / 4.5.3:
Poly(3-hydroxybutyrate-co-4-hydroxybutyrate) / Chapter 5:
Alcaligenes eutrophus and Carbon Substrates / 5.1:
Molecular Structure / 5.2:
Biosynthetic Pathway? / 5.3:
Structure and Properties of Poly(3-hydroxybutyrate) / Chapter 6:
Crystal Structure and Properties / 6.1:
Crystal Structure / 6.1.1:
Solid-State Properties / 6.1.2:
Solution Properties / 6.2:
Solid-State Properties of Copolyesters / Chapter 7:
Composition and Physical Properties / 7.1:
X-Ray Diffraction Analysis / 7.1.1:
Solid-State CP/MAS 13C-NMR Analysis / 7.1.2:
Mechanical Properties / 7.1.3:
Thermal Properties / 7.2:
Melting Temperatures / 7.2.1:
Glass-Transition Temperatures / 7.2.2:
Thermal Stability / 7.2.3:
Kinetics of Crystallization / 7.3:
Biodegradation of Microbial Polyesters / Chapter 8:
Extracellular P(3HB) Depolymerase / 8.1:
Pseudomonas lemoignei / 8.1.1:
Alcaligenes faecalis / 8.1.2:
Enzymatic Hydrolysis of Copolyesters / 8.2:
Simple Hydrolysis of Polyesters / 8.3:
Applications and Prospects / 8.4:
Environmentally Degradable Plastics / 8.4.1:
Medical Applications / 8.4.2:
Index
Introduction / Chapter 1:
Microbial Poly(3-hydroxybutyrate) / 1.1:
Microbial Poly(hydroxyalkanoates) / 1.2:
8.

図書

図書
Joel H. Ferziger, Milovan Perić
出版情報: Berlin : Springer, c2002  xiv, 423 p. ; 24 cm
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Preface
Basic Concepts of Fluid Flow / 1.:
Introduction / 1.1:
Conservation Principles / 1.2:
Mass Conservation / 1.3:
Momentum Conservation / 1.4:
Conservation of Scalar Quantities / 1.5:
Dimensionless Form of Equations / 1.6:
Simplified Mathematical Models / 1.7:
Incompressible Flow / 1.7.1:
Inviscid (Euler) Flow / 1.7.2:
Potential Flow / 1.7.3:
Creeping (Stokes) Flow / 1.7.4:
Boussinesq Approximation / 1.7.5:
Boundary Layer Approximation / 1.7.6:
Modeling of Complex Flow Phenomena / 1.7.7:
Mathematical Classification of Flows / 1.8:
Hyperbolic Flows / 1.8.1:
Parabolic Flows / 1.8.2:
Elliptic Flows / 1.8.3:
Mixed Flow Types / 1.8.4:
Plan of This Book / 1.9:
Introduction to Numerical Methods / 2.:
Approaches to Fluid Dynamical Problems / 2.1:
What is CFD? / 2.2:
Possibilities and Limitations of Numerical Methods / 2.3:
Components of a Numerical Solution Method / 2.4:
Mathematical Model / 2.4.1:
Discretization Method / 2.4.2:
Coordinate and Basis Vector Systems / 2.4.3:
Numerical Grid / 2.4.4:
Finite Approximations / 2.4.5:
Solution Method / 2.4.6:
Convergence Criteria / 2.4.7:
Properties of Numerical Solution Methods / 2.5:
Consistency / 2.5.1:
Stability / 2.5.2:
Convergence / 2.5.3:
Conservation / 2.5.4:
Boundedness / 2.5.5:
Realizability / 2.5.6:
Accuracy / 2.5.7:
Discretization Approaches / 2.6:
Finite Difference Method / 2.6.1:
Finite Volume Method / 2.6.2:
Finite Element Method / 2.6.3:
Finite Difference Methods / 3.:
Basic Concept / 3.1:
Approximation of the First Derivative / 3.3:
Taylor Series Expansion / 3.3.1:
Polynomial Fitting / 3.3.2:
Compact Schemes / 3.3.3:
Non-Uniform Grids / 3.3.4:
Approximation of the Second Derivative / 3.4:
Approximation of Mixed Derivatives / 3.5:
Approximation of Other Terms / 3.6:
Implementation of Boundary Conditions / 3.7:
The Algebraic Equation System / 3.8:
Discretization Errors / 3.9:
An Introduction to Spectral Methods / 3.10:
Another View of Discretization Error / 3.10.1:
Example / 3.11:
Finite Volume Methods / 4.:
Approximation of Surface Integrals / 4.1:
Approximation of Volume Integrals / 4.3:
Interpolation and Differentiation Practices / 4.4:
Upwind Interpolation (UDS) / 4.4.1:
Linear Interpolation (CDS) / 4.4.2:
Quadratic Upwind Interpolation (QUICK) / 4.4.3:
Higher-Order Schemes / 4.4.4:
Other Schemes / 4.4.5:
Examples / 4.5:
Solution of Linear Equation Systems / 5.:
Direct Methods / 5.1:
Gauss Elimination / 5.2.1:
LU Decomposition / 5.2.2:
Tridiagonal Systems / 5.2.3:
Cyclic Reduction / 5.2.4:
Iterative Methods / 5.3:
Some Basic Methods / 5.3.1:
Incomplete LU Decomposition: Stone's Method / 5.3.4:
ADI and Other Splitting Methods / 5.3.5:
Conjugate Gradient Methods / 5.3.6:
Biconjugate Gradients and CGSTAB / 5.3.7:
Multigrid Methods / 5.3.8:
Other Iterative Solvers / 5.3.9:
Coupled Equations and Their Solution / 5.4:
Simultaneous Solution / 5.4.1:
Sequential Solution / 5.4.2:
Under-Relaxation / 5.4.3:
Non-Linear Equations and their Solution / 5.5:
Newton-like Techniques / 5.5.1:
Other Techniques / 5.5.2:
Deferred-Correction Approaches / 5.6:
Convergence Criteria and Iteration Errors / 5.7:
Methods for Unsteady Problems / 5.8:
Methods for Initial Value Problems in ODEs / 6.1:
Two-Level Methods / 6.2.1:
Predictor-Corrector and Multipoint Methods / 6.2.2:
Runge-Kutta Methods / 6.2.3:
Other Methods / 6.2.4:
Application to the Generic Transport Equation / 6.3:
Explicit Methods / 6.3.1:
Implicit Methods / 6.3.2:
Solution of the Navier-Stokes Equations / 6.3.3:
Special Features of the Navier-Stokes Equations / 7.1:
Discretization of Convective and Viscous Terms / 7.1.1:
Discretization of Pressure Terms and Body Forces / 7.1.2:
Conservation Properties / 7.1.3:
Choice of Variable Arrangement on the Grid / 7.2:
Colocated Arrangement / 7.2.1:
Staggered Arrangements / 7.2.2:
Calculation of the Pressure / 7.3:
The Pressure Equation and its Solution / 7.3.1:
A Simple Explicit Time Advance Scheme / 7.3.2:
A Simple Implicit Time Advance Method / 7.3.3:
Implicit Pressure-Correction Methods / 7.3.4:
Fractional Step Methods / 7.4:
Streamfunction-Vorticity Methods / 7.4.2:
Artificial Compressibility Methods / 7.4.3:
Solution Methods for the Navier-Stokes Equations / 7.5:
Implicit Scheme Using Pressure-Correction and a Staggered Grid / 7.5.1:
Treatment of Pressure for Colocated Variables / 7.5.2:
SIMPLE Algorithm for a Colocated Variable Arrangement / 7.5.3:
Note on Pressure and Incompressibility / 7.6:
Boundary Conditions for the Navier-Stokes Equations / 7.7:
Complex Geometries / 7.8:
The Choice of Grid / 8.1:
Stepwise Approximation Using Regular Grids / 8.1.1:
Overlapping Grids / 8.1.2:
Boundary-Fitted Non-Orthogonal Grids / 8.1.3:
Grid Generation / 8.2:
The Choice of Velocity Components / 8.3:
Grid-Oriented Velocity Components / 8.3.1:
Cartesian Velocity Components / 8.3.2:
The Choice of Variable Arrangement / 8.4:
Methods Based on Coordinate Transformation / 8.4.1:
Method Based on Shape Functions / 8.5.2:
Approximation of Convective Fluxes / 8.6:
Approximation of Diffusive Fluxes / 8.6.2:
Approximation of Source Terms / 8.6.3:
Three-Dimensional Grids / 8.6.4:
Block-Structured Grids / 8.6.5:
Unstructured Grids / 8.6.6:
Control-Volume-Based Finite Element Methods / 8.7:
Pressure-Correction Equation / 8.8:
Axi-Symmetric Problems / 8.9:
Inlet / 8.10:
Outlet / 8.10.2:
Impermeable Walls / 8.10.3:
Symmetry Planes / 8.10.4:
Specified Pressure / 8.10.5:
Turbulent Flows / 8.11:
Direct Numerical Simulation (DNS) / 9.1:
Example: Spatial Decay of Grid Turbulence / 9.2.1:
Large Eddy Simulation (LES) / 9.3:
Smagorinsky and Related Models / 9.3.1:
Dynamic Models / 9.3.2:
Deconvolution Models / 9.3.3:
Example: Flow Over a Wall-Mounted Cube / 9.3.4:
Example: Stratified Homogeneous Shear Flow / 9.3.5:
RANS Models / 9.4:
Reynolds-Averaged Navier-Stokes (RANS) Equations / 9.4.1:
Simple Turbulence Models and their Application / 9.4.2:
The v2f Model / 9.4.3:
Example: Flow Around an Engine Valve / 9.4.4:
Reynolds Stress Models / 9.5:
Very Large Eddy Simulation / 9.6:
Compressible Flow / 10.:
Pressure-Correction Methods for Arbitrary Mach Number / 10.1:
Pressure-Velocity-Density Coupling / 10.2.1:
Boundary Conditions / 10.2.2:
Methods Designed for Compressible Flow / 10.2.3:
An Overview of Some Specific Methods / 10.3.1:
Efficiency and Accuracy Improvement / 11.:
Error Analysis and Estimation / 11.1:
Description of Errors / 11.1.1:
Estimation of Errors / 11.1.2:
Recommended Practice for CFD Uncertainty Analysis / 11.1.3:
Grid quality and optimization / 11.2:
Multigrid Methods for Flow Calculation / 11.3:
Adaptive Grid Methods and Local Grid Refinement / 11.4:
Parallel Computing in CFD / 11.5:
Iterative Schemes for Linear Equations / 11.5.1:
Domain Decomposition in Space / 11.5.2:
Domain Decomposition in Time / 11.5.3:
Efficiency of Parallel Computing / 11.5.4:
Special Topics / 12.:
Heat and Mass Transfer / 12.1:
Flows With Variable Fluid Properties / 12.3:
Moving Grids / 12.4:
Free-Surface Flows / 12.5:
Interface-Tracking Methods / 12.5.1:
Hybrid Methods / 12.5.2:
Meteorological and Oceanographic Applications / 12.6:
Multiphase flows / 12.7:
Combustion / 12.8:
Appendices / A.:
List of Computer Codes and How to Access Them / A.1:
List of Frequently Used Abbreviations / A.2:
References
Index
Preface
Basic Concepts of Fluid Flow / 1.:
Introduction / 1.1:
9.

図書

図書
出版情報: Providence, R.I. : American Mathematical Society, 1955-  v. ; 26 cm
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10.

図書

図書
Werner Massa ; translated into English by Robert O. Gould
出版情報: New York : Springer, 2000  xi, 206 p. ; 24 cm
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Introduction / 1:
Crystal Lattices / 2:
The Lattice / 2.1:
The Unit Cell / 2.1.1:
Atom Parameters / 2.1.2:
The Seven Crystal Systems / 2.1.3:
The Fourteen Bravais Lattices / 2.2:
The Hexagonal, Trigonal and Rhombohedral Systems / 2.2.1:
The Reduced Cell / 2.2.2:
The Geometry of X-Ray Diffraction / 3:
X-Rays / 3.1:
Interference by a One-Dimensional Lattice / 3.2:
The Laue Equations / 3.3:
Lattice Planes and hkl-Indices / 3.4:
The Bragg Equation / 3.5:
Higher Orders of Diffraction / 3.6:
The Quadratic Form of the Bragg Equation / 3.7:
The Reciprocal Lattice / 4:
From the Direct to the Reciprocal Lattice / 4.1:
The Ewald Construction / 4.2:
Structure Factors / 5:
Atom Formfactors / 5.1:
Atom Displacement Factors / 5.2:
Crystal Symmetry / 5.3:
Simple Symmetry Elements / 6.1:
Coupling of Symmetry Elements / 6.1.1:
Combination of Symmetry Elements / 6.1.2:
Symmetry Directions / 6.2:
Symmetry Elements Involving Translation / 6.3:
Combination of Translation with Other Symmetry Elements / 6.3.1:
Coupling of Translation with Other Symmetry Elements / 6.3.2:
The 230 Space Groups / 6.4:
Space-group Notation in International Tables for Crystallography / 6.4.1:
Centrosymmetric Crystal Structures / 6.4.2:
The Asymmetric Unit / 6.4.3:
Space Group Types / 6.4.4:
Group-Subgroup Relationships / 6.4.5:
Visible Effects of Symmetry / 6.5:
Microscopic Structure / 6.5.1:
Macroscopic Properties and Crystal Classes / 6.5.2:
Symmetry of the Lattice / 6.5.3:
Symmetry of the Diffraction Pattern--The Laue Groups / 6.5.4:
Determination of the Space Group / 6.6:
Determination of the Laue Group / 6.6.1:
Systematic Absences / 6.6.2:
Transformations / 6.7:
Experimental Methods / 7:
Growth, Choice and Mounting of a Single Crystal / 7.1:
Measuring the Diffraction Pattern of Single Crystals / 7.2:
Film Methods / 7.2.1:
The Four-circle (serial) Diffractometer / 7.2.2:
Reflection profile and scan type / 7.2.3:
Area Detector Systems / 7.3:
Data Reduction / 7.4:
Lp correction / 7.4.1:
Standard Uncertainty / 7.4.2:
Absorption Correction / 7.4.3:
Other Diffraction Methods / 7.5:
Neutron Scattering / 7.5.1:
Electron Scattering / 7.5.2:
Structure Solution / 8:
Fourier Transforms / 8.1:
Patterson Methods / 8.2:
Symmetry in Patterson Space / 8.2.1:
Structure Solution Using Harker Peaks / 8.2.2:
Patterson shift methods / 8.2.3:
Direct Methods / 8.3:
Harker-Kasper Inequalities / 8.3.1:
Normalized Structure Factors / 8.3.2:
The Sayre Equation / 8.3.3:
The Triplet Relationship / 8.3.4:
Origin Fixation / 8.3.5:
Strategies of Phase Determination / 8.3.6:
Structure Refinement / 9:
The Method of Least Squares / 9.1:
Refinement Based on F[subscript o] or F[superscript 2 subscript o] Data / 9.1.1:
Weights / 9.2:
Crystallographic R-Values / 9.3:
Refinement Techniques / 9.4:
Location and Treatment of Hydrogen Atoms / 9.4.1:
Restricted Refinement / 9.4.2:
Damping / 9.4.3:
Symmetry Restrictions / 9.4.4:
Residual Electron Density / 9.4.5:
Rietveld Refinement / 9.5:
Additional Topics / 10:
Disorder / 10.1:
Site Occupancy Disorder / 10.1.1:
Positional and Orientational Disorder / 10.1.2:
One- and Two-Dimensional Disorder / 10.1.3:
Modulated Structures / 10.1.4:
Quasicrystals / 10.1.5:
Anomalous Dispersion and "Absolute Structure" / 10.2:
Chiral and Polar Space Groups / 10.2.1:
Extinction / 10.3:
The Renninger Effect / 10.4:
The [lambda]/2-Effect / 10.5:
Thermal Diffuse Scattering (TDS) / 10.6:
Errors and Pitfalls / 11:
Wrong Atom-Types / 11.1:
Twinning / 11.2:
Classification by the Twin-Element / 11.2.1:
Classification According to Macroscopic Appearance / 11.2.2:
Classification According to Origin / 11.2.3:
Diffraction Patterns of Twinned Crystals and their Interpretation / 11.2.4:
Twinning or Disorder? / 11.2.5:
False Unit Cells / 11.3:
Space Group Errors / 11.4:
Misplaced Origins / 11.5:
Poor Atom Displacement Parameters / 11.6:
Interpretation and Presentation of Results / 12:
Bond Lengths and Bond Angles / 12.1:
Best Planes and Torsion Angles / 12.2:
Structural Geometry and Symmetry / 12.3:
Structural Diagrams / 12.4:
Electron Density / 12.5:
Crystallographic Databases / 13:
The Inorganic Crystal Structure Database (ICSD) / 13.1:
The Cambridge Structural Database (CSD) / 13.2:
The Metals Crystallographic Data File (CRYST-MET) / 13.3:
Other Collections of Crystal Structure Data / 13.4:
Deposition of Structural Data in Data Bases / 13.5:
Crystallography on the Internet / 13.6:
Outline of a Crystal Structure Determination / 14:
Worked Example of a Structure Determination / 15:
Bibliography
Index
Introduction / 1:
Crystal Lattices / 2:
The Lattice / 2.1:
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