close
1.

図書
図書
1. The art of writing reasonable organic reaction mechanisms. 2nd ed
Robert B. Grossman
出版情報: New York : Springer, c2003  xvi, 355 p. ; 25 cm
所蔵情報: loading…
目次情報: 続きを見る
Preface to the Student
Preface to the Instructor
The Basics / 1：
Structure and Stability of Organic Compounds / 1.1：
Conventions of Drawing Structures; Grossman's Rule / 1.1.1：
Lewis Structures; Resonance Structures / 1.1.2：
Molecular Shape; Hybridization / 1.1.3：
Aromaticity / 1.1.4：
Bronsted Acidity and Basicity / 1.2：
pK[subscript a] Values / 1.2.1：
Tautomerism / 1.2.2：
Kinetics and Thermodynamics / 1.3：
Getting Started in Drawing a Mechanism / 1.4：
Classes of Overall Transformations / 1.5：
Classes of Mechanisms / 1.6：
Polar Mechanisms / 1.6.1：
Free-Radical Mechanisms / 1.6.2：
Pericyclic Mechanisms / 1.6.3：
Transition-Metal-Catalyzed and -Mediated Mechanisms / 1.6.4：
Summary / 1.7：
Problems
Polar Reactions under Basic Conditions / 2：
Substitution and Elimination at C(sp[superscript 3])-X [sigma] Bonds, Part I / 2.1：
Substitution by the S[subscript N]2 Mechanism / 2.1.1：
[beta]-Elimination by the E2 and Elcb Mechanisms / 2.1.2：
Predicting Substitution vs. Elimination / 2.1.3：
Addition of Nucleophiles to Electrophilic [pi] Bonds / 2.2：
Addition to Carbonyl Compounds / 2.2.1：
Conjugate Addition; The Michael Reaction / 2.2.2：
Substitution at C(sp[superscript 2])-X [sigma] Bonds / 2.3：
Substitution at Carbonyl C / 2.3.1：
Substitution at Alkenyl and Aryl C / 2.3.2：
Metal Insertion; Halogen-Metal Exchange / 2.3.3：
Substitution and Elimination at C(sp[superscript 3])-X [sigma] Bonds, Part II / 2.4：
Substitution by the S[subscript RN]1 Mechanism / 2.4.1：
Substitution by the Elimination-Addition Mechanism / 2.4.2：
Substitution by the One-Electron Transfer Mechanism / 2.4.3：
[alpha]-Elimination; Generation and Reactions of Carbenes / 2.4.4：
Base-Promoted Rearrangements / 2.5：
Migration from C to C / 2.5.1：
Migration from C to O or N / 2.5.2：
Migration from B to C or O / 2.5.3：
Two Multistep Reactions / 2.6：
The Swern Oxidation / 2.6.1：
The Mitsunobu Reaction / 2.6.2：
Polar Reactions Under Acidic Conditions / 2.7：
Carbocations / 3.1：
Carbocation Stability / 3.1.1：
Carbocation Generation; The Role of Protonation / 3.1.2：
Typical Reactions of Carbocations; Rearrangements / 3.1.3：
Substitution and [beta]-Elimination Reactions at C(sp[superscript 3])-X / 3.2：
Substitution by the S[subscript N]1 and S[subscript N]2 Mechanisms / 3.2.1：
[beta]-Elimination by the E1 Mechanism / 3.2.2：
Electrophilic Addition to Nucleophilic C=C [pi] Bonds / 3.2.3：
Substitution at Nucleophilic C=C [pi] Bonds / 3.4：
Electrophilic Aromatic Substitution / 3.4.1：
Aromatic Substitution of Anilines via Diazonium Salts / 3.4.2：
Electrophilic Aliphatic Substitution / 3.4.3：
Nucleophilic Addition to and Substitution at Electrophilic [pi] Bonds / 3.5：
Heteroatom Nucleophiles / 3.5.1：
Carbon Nucleophiles / 3.5.2：
Pericyclic Reactions / 3.6：
Introduction / 4.1：
Classes of Pericyclic Reactions / 4.1.1：
Polyene MOs / 4.1.2：
Electrocyclic Reactions / 4.2：
Typical Reactions / 4.2.1：
Stereospecificity / 4.2.2：
Stereoselectivity / 4.2.3：
Cycloadditions / 4.3：
Regioselectivity / 4.3.1：
Sigmatropic Rearrangements / 4.3.3：
Ene Reactions / 4.4.1：
Free-Radical Reactions / 4.6：
Free Radicals / 5.1：
Stability / 5.1.1：
Generation from Closed-Shell Species / 5.1.2：
Chain vs. Nonchain Mechanisms / 5.1.3：
Chain Free-Radical Reactions / 5.2：
Substitution Reactions / 5.2.1：
Addition and Fragmentation Reactions / 5.2.2：
Nonchain Free-Radical Reactions / 5.3：
Photochemical Reactions / 5.3.1：
Reductions and Oxidations with Metals / 5.3.2：
Cycloaromatizations / 5.3.3：
Miscellaneous Radical Reactions / 5.4：
1,2-Anionic Rearrangements; Lone-Pair Inversion / 5.4.1：
Triplet Carbenes and Nitrenes / 5.4.2：
Transition-Metal-Mediated and -Catalyzed Reactions / 5.5：
Introduction to the Chemistry of Transition Metals / 6.1：
Conventions of Drawing Structures / 6.1.1：
Counting Electrons / 6.1.2：
Stoichiometric vs. Catalytic Mechanisms / 6.1.3：
Addition Reactions / 6.2：
Late-Metal-Catalyzed Hydrogenation and Hydrometallation (Pd, Pt, Rh) / 6.2.1：
Hydroformylation (Co, Rh) / 6.2.2：
Hydrozirconation (Zr) / 6.2.3：
Alkene Polymerization (Ti, Zr, Sc, and others) / 6.2.4：
Cyclopropanation, Epoxidation, and Aziridination of Alkenes (Cu, Rh, Mn, Ti) / 6.2.5：
Dihydroxylation and Aminohydroxylation of Alkenes (Os) / 6.2.6：
Nucleophilic Addition to Alkenes and Alkynes (Hg, Pd) / 6.2.7：
Conjugate Addition Reactions (Cu) / 6.2.8：
Reductive Coupling Reactions (Ti, Zr) / 6.2.9：
Pauson-Khand Reaction (Co) / 6.2.10：
Dotz Reaction (Cr) / 6.2.11：
Metal-Catalyzed Cycloaddition and Cyclotrimerization (Co, Ni, Rh) / 6.2.12：
Hydrogenolysis (Pd) / 6.3：
Carbonylation of Alkyl Halides (Pd, Rh) / 6.3.2：
Heck Reaction (Pd) / 6.3.3：
Coupling Reactions Between Nucleophiles and C(sp[superscript 2])-X: Kumada, Stille, Suzuki, Negishi, Buchwald-Hartwig, Sonogashira, and Ullmann Reactions (Ni, Pd, Cu) / 6.3.4：
Allylic Substitution (Pd) / 6.3.5：
Pd-Catalyzed Nucleophilic Substitution of Alkenes; Wacker Oxidation / 6.3.6：
Tebbe Reaction (Ti) / 6.3.7：
Propargyl Substitution in Co-Alkyne Complexes / 6.3.8：
Rearrangement Reactions / 6.4：
Alkene Isomerization (Rh) / 6.4.1：
Olefin and Alkyne Metathesis (Ru, W, Mo, Ti) / 6.4.2：
Elimination Reactions / 6.5：
Oxidation of Alcohols (Cr, Ru) / 6.5.1：
Decarbonylation of Aldehydes (Rh) / 6.5.2：
Mixed-Mechanism Problems / 6.6：
A Final Word
Index
Preface to the Student
Preface to the Instructor
The Basics / 1：
2.

図書
図書
2. An introduction to surface analysis by XPS and AES (: hbk ; : pbk)
John F. Watts, John Wolstenholme
出版情報: Chichester : Wiley, c2003  x, 212 p. ; 23 cm
所蔵情報: loading…
目次情報: 続きを見る
Preface
Acknowledgements
Electron Spectroscopy: Some Basic Concepts / 1：
Electron Spectrometer Design
The Electron Spectrum: Qualitative and Quantitative Interpretation
Compositional Depth Profiling / 1.1：
Applications of Electron Spectroscopy in Materials Science
Analysis of Surfaces
Comparison of XPS and AES with Other Analytical Techniques
Glossary / 1.2：
Bibliography
Notation
Auger Electron Energies / Appendix 1：
Spectroscopists' notation / Appendix 2：
Table of Binding Energies Accessible with AIK& Radiation
Index / 1.2.2：
X-ray notation
X-ray Photoelectron Spectroscopy (XPS) / 1.3：
Auger Electron Spectroscopy (AES) / 1.4：
Scanning Auger Microscopy (SAM) / 1.5：
The Depth of Analysis in Electron Spectroscopy / 1.6：
Comparison of XPS and AES/SAM / 1.7：
The Availability of Surface Analytical Equipment / 1.8：
The Vacuum System / 2：
The Sample / 2.2：
X-ray Sources for XPS / 2.3：
The twin anode X-ray source / 2.3.1：
X-ray monochromators / 2.3.2：
Charge compensation / 2.3.3：
The Electron Gun for AES / 2.4：
Electron sources / 2.4.1：
Analysers for Electron Spectroscopy / 2.5：
The cylindrical mirror analyser / 2.5.1：
The hemispherical sector analyser / 2.5.2：
Detectors / 2.6：
Channel electron multipliers / 2.6.1：
Channel plates / 2.6.2：
Small Area XPS / 2.7：
Lens-defined small area XPS / 2.7.1：
Source-defined small area analysis / 2.7.2：
XPS Imaging and Mapping / 2.8：
Serial acquisition / 2.8.1：
Parallel acquisition / 2.8.2：
Lateral Resolution in Small Area XPS / 2.9：
Angle Resolved XPS / 2.10：
Qualitative Analysis / 3：
Unwanted features in electron spectra / 3.1.1：
Data acquisition / 3.1.2：
Chemical State Information / 3.2：
X-ray photoelectron spectroscopy / 3.2.1：
Electron induced Auger electron spectroscopy / 3.2.2：
The Auger parameter / 3.2.3：
Chemical state plots / 3.2.4：
Shake-up satellites / 3.2.5：
Multiplet splitting / 3.2.6：
Plasmons / 3.2.7：
Quantitative Analysis / 3.3：
Factors affecting the quantification of electron spectra / 3.3.1：
Quantification in XPS / 3.3.2：
Quantification in AES / 3.3.3：
Compositional Depth Profilin / 4：
Non-destructive Depth Profiling Methods / 4.1：
Angle resolved electron spectroscopy / 4.1.1：
Elastic scattering / 4.1.1.1：
Compositional depth profiles by ARXPS / 4.1.1.2：
Recent advances in ARXPS / 4.1.1.3：
Variation of analysis depth with electron kinetic energy / 4.1.2：
Depth Profiling by Erosion with Noble Gas Ions / 4.2：
The sputtering process / 4.2.1：
Experimental method / 4.2.2：
Sputter yield and etch rate / 4.2.3：
Factors affecting the etch rate / 4.2.4：
Factors affecting the depth resolution / 4.2.5：
Calibration / 4.2.6：
Ion gun design / 4.2.7：
Mechanical Sectioning / 4.3：
Angle lapping / 4.3.1：
Ball cratering / 4.3.2：
Conclusions / 4.4：
Introduction / 5：
Metallurgy / 5.2：
Grain-boundary segregation / 5.2.1：
Electronic structure of metallic alloys / 5.2.2：
Surface engineering / 5.2.3：
Corrosion Science / 5.3：
Ceramics and Catalysis / 5.4：
Microelectronics and Semiconductor Materials / 5.5：
Mapping semiconductor devices using AES / 5.5.1：
Depth profiling of semiconductor materials / 5.5.2：
Ultra-thin layers studied by ARXPS / 5.5.3：
Polymeric Materials / 5.6：
Adhesion Science / 5.7：
X-ray Analysis in the Electron Microscope / 6：
Electron Analysis in the Electron Microscope / 6.2：
Mass Spectrometry for Surface Analysis / 6.3：
Ion Scattering / 6.4：
Concluding Remarks / 6.5：
Appendices
Table of Binding Energies Accessible with AlKalpha Radiation
Preface
Acknowledgements
Electron Spectroscopy: Some Basic Concepts / 1：
3.

電子ブック
ＥＢ
3. Virtual Reality Technology
Burdea
出版情報: EBSCOhost Academic Search Premier , John Wiley & Sons, Inc. / Engineering, 2003
所蔵情報: loading…
目次情報: 続きを見る
Foreword
Preface
Introduction / 1：
The Three I's of Virtual Reality / 1.1：
A Short History of Early Virtual Reality / 1.2：
Early Commercial VR Technology / 1.3：
VR Becomes an Industry / 1.4：
The Five Classic Components of a VR System / 1.5：
Review Questions / 1.6：
References
Input Devices: Trackers, Navigation, and Gesture Interfaces / 2：
Three-Dimensional Position Trackers / 2.1：
Tracker Performance Parameters / 2.1.1：
Mechanical Trackers / 2.1.2：
Magnetic Trackers / 2.1.3：
Ultrasonic Trackers / 2.1.4：
Optical Trackers / 2.1.5：
Hybrid Intertial Trackers / 2.1.6：
Navigation and Manipulation Interfaces / 2.2：
Tracker-Based Navigation/Manipulation Interfaces / 2.2.1：
Trackballs / 2.2.2：
Three-Dimensional Probes / 2.2.3：
Gesture Interfaces / 2.3：
The Pinch Glove / 2.3.1：
The 5DT Data Glove / 2.3.2：
The Didjiglove / 2.3.3：
The CyberGlove / 2.3.4：
Conclusion / 2.4：
Output Devices: Graphics, Three-Dimensional Sound, and Haptic Displays / 2.5：
Graphics Displays / 3.1：
The Human Visual System / 3.1.1：
Personal Graphics Displays / 3.1.2：
Large-Volume Displays / 3.1.3：
Sound Displays / 3.2：
The Human Auditory System / 3.2.1：
The Convolvotron / 3.2.2：
Speaker-Based Three-Dimensional Sound / 3.2.3：
Haptic Feedback / 3.3：
The Human Haptic System / 3.3.1：
Tactile Feedback Interfaces / 3.3.2：
Force Feedback Interfaces / 3.3.3：
Computing Architectures for VR / 3.4：
The Rendering Pipeline / 4.1：
The Graphics Rendering Pipeline / 4.1.1：
The Haptics Rendering Pipeline / 4.1.2：
PC Graphics Architecture / 4.2：
PC Graphics Accelerators / 4.2.1：
Graphics Benchmarks / 4.2.2：
Workstation-Based Architectures / 4.3：
The Sun Blade 1000 Architecture / 4.3.1：
The SGI Infinite Reality Architecture / 4.3.2：
Distributed VR Architectures / 4.4：
Multipipeline Synchronization / 4.4.1：
Colocated Rendering Pipelines / 4.4.2：
Distributed Virtual Environments / 4.4.3：
Modeling / 4.5：
Geometric Modeling / 5.1：
Virtual Object Shape / 5.1.1：
Object Visual Appearance / 5.1.2：
Kinematics Modeling / 5.2：
Homogeneous Transformation Matrices / 5.2.1：
Object Position / 5.2.2：
Transformation Invariants / 5.2.3：
Object Hierarchies / 5.2.4：
Viewing the Three-Dimensional World / 5.2.5：
Physical Modeling / 5.3：
Collision Detection / 5.3.1：
Surface Deformation / 5.3.2：
Force Computation / 5.3.3：
Force Smoothing and Mapping / 5.3.4：
Haptic Texturing / 5.3.5：
Behavior Modeling / 5.4：
Model Management / 5.5：
Level-of-Detail Management / 5.5.1：
Cell Segmentation / 5.5.2：
VR Programming / 5.6：
Toolkits and Scene Graphs / 6.1：
WorldToolKit / 6.2：
Model Geometry and Appearance / 6.2.1：
The WTK Scene Graph / 6.2.2：
Sensors and Action Functions / 6.2.3：
WTK Networking / 6.2.4：
Java 3D / 6.3：
Java 3D Scene Graph / 6.3.1：
Sensors and Behaviors / 6.3.3：
Java 3D Networking / 6.3.4：
WTK and Java 3D Performance Comparison / 6.3.5：
General Haptics Open Software Toolkit / 6.4：
GHOST Integration with the Graphics Pipeline / 6.4.1：
The GHOST Haptics Scene Graph / 6.4.2：
Collision Detection and Response / 6.4.3：
Graphics and PHANToM Calibration / 6.4.4：
PeopleShop / 6.5：
DI-Guy Geometry and Path / 6.5.1：
PeopleShop Networking / 6.5.2：
Human Factors in VR / 6.6：
Methodology and Terminology / 7.1：
Data Collection and Analysis / 7.1.1：
Usability Engineering Methodology / 7.1.2：
User Performance Studies / 7.2：
Testbed Evaluation of Universal VR Tasks / 7.2.1：
Influence of System Responsiveness on User Performance / 7.2.2：
Influence of Feedback Multimodality / 7.2.3：
VR Health and Safety Issues / 7.3：
Direct Effects of VR Simulations on Users / 7.3.1：
Cybersickness / 7.3.2：
Adaptation and Aftereffects / 7.3.3：
Guidelines for Proper VR Usage / 7.3.4：
VR and Society / 7.4：
Impact on Professional Life / 7.4.1：
Impact on Private Life / 7.4.2：
Impact on Public Life / 7.4.3：
Traditional VR Applications / 7.5：
Medical Applications of VR / 8.1：
Virtual Anatomy / 8.1.1：
Triage and Diagnostic / 8.1.2：
Surgery / 8.1.3：
Rehabilitation / 8.1.4：
Education, Arts, and Entertainment / 8.2：
VR in Education / 8.2.1：
VR and the Arts / 8.2.2：
Entertainment Applications of VR / 8.2.3：
Military VR Applications / 8.3：
Army Use of VR / 8.3.1：
VR Applications in the Navy / 8.3.2：
Air Force Use of VR / 8.3.3：
Emerging Applications of VR / 8.4：
VR Applications in Manufacturing / 9.1：
Virtual Prototyping / 9.1.1：
Other VR Applications in Manufacturing / 9.1.2：
Applications of VR in Robotics / 9.2：
Robot Programming / 9.2.1：
Robot Teleoperation / 9.2.2：
Information Visualization / 9.3：
Oil Exploration and Well Management / 9.3.1：
Volumetric Data Visualization / 9.3.2：
Index / 9.4：
Foreword
Preface
Introduction / 1：
4.

図書
図書
4. Spatio-temporal databases : the CHOROCHRONOS approach
Manolis Koubarakis ... [et al.]
出版情報: Berlin ; Tokyo : Springer, c2003  xiv, 352 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2520
所蔵情報: loading…
目次情報: 続きを見る
Introduction / Manolis Koubarakis ; Timos Sellis1：
Why Spatio-temporal Databases? / 1.1：
Chorochronos / 1.2：
Contributions / 1.3：
Organization of the Book / 1.4：
References
Ontology for Spatio-temporal Databases / Andrew U. Frank2：
Ontology to Drive Information System Design / 2.1：
Ontological Problems of Geographic Information Systems and Other Spatio-temporal Information Systems / 2.1.2：
Structure of the Chapter / 2.1.3：
The Notion of Ontology / 2.2：
Classical View / 2.2.1：
Social Reality / 2.2.2：
Application Domains / 2.3：
Table-Top Situation / 2.3.1：
Cityscape / 2.3.2：
Geographic Landscape / 2.3.3：
Model of Information Systems / 2.4：
Information Systems as Vehicles of Exchange between Multiple Agents / 2.4.1：
Correctness of Information System Related to Observations / 2.4.2：
Semantics for Terms in Information Systems / 2.4.3：
Grounding of Semantics in Physical Operations / 2.4.4：
The Five Tiers of the Ontology / 2.5：
Physical Reality Seen as an Ontology of a Four-Dimensional Field / 2.5.1：
Observation of Physical Reality / 2.5.2：
Operations and Ontology of Individuals / 2.5.3：
Social Ontology / 2.5.4：
Ontology of Cognitive Agents / 2.5.5：
The Language to Describe the Ontology / 2.6：
Tools to Implement Ontologies / 2.6.1：
Multi-agent Systems and Formalization of Database Ontologies / 2.6.2：
Ontological Tier 0: Ontology of the Physical Reality / 2.7：
Properties / 2.7.1：
Physical Space-Time Field / 2.7.2：
Ontological Tier 1: Our Limited Knowledge of the World through Observations of Reality / 2.8：
Observations / 2.8.1：
Measurement Units / 2.8.2：
Classification of Values / 2.8.3：
Special Observations: Points in Space and Time / 2.8.4：
Approximate Location / 2.8.5：
Discretization and Sampling / 2.8.6：
Virtual Datasets: Validity of Values / 2.8.7：
Ontological Tier 2: Representation - World of Individual Objects / 2.9：
Objects Are Defined by Uniform Properties / 2.9.1：
Geometry of Objects / 2.9.2：
Properties of Objects / 2.9.3：
Geographic Objects Are not Solid Bodies / 2.9.4：
Objects Endure in Time / 2.9.5：
Temporal, but A-Spatial Objects / 2.9.6：
Ontological Tier 3: Socially Constructed Reality / 2.10：
Social Reality Is Real within a Context / 2.10.1：
Names / 2.10.2：
Institutional Reality / 2.10.3：
Ontological Tier 4: Modeling Cognitive Agents / 2.11：
Logical Deduction / 2.11.1：
Two Time Perspectives / 2.11.2：
Sources of Knowledge / 2.11.3：
Ontological Commitments Necessary for a Spatio-temporal Database / 2.12：
Existence of a Single Reality / 2.12.1：
Values for Properties Can Be Observed / 2.12.2：
Assume Space and Time / 2.12.3：
Observations Are Necessarily Limited / 2.12.4：
Processes Determine Objects / 2.12.5：
Names of Objects / 2.12.6：
Social, Especially Institutionally Constructed Reality / 2.12.7：
Knowledge of an Agent Is Changing in Time / 2.12.8：
Conclusions / 2.13：
Conceptual Models for Spatio-temporal Applications / Nectaria Tryfona ; Rosanne Price ; Christian S. Jensen3：
Motivation / 3.1：
Spatio-temporal Foundations / 3.2：
Spatio-temporal Entity-Relationship Model / 3.3：
Extending the ER with Spatio-temporal Constructs / 3.3.1：
A Textual Notation for STER / 3.3.2：
Example of Usage of STER / 3.3.3：
Spatio-temporal Unified Modeling Language / 3.4：
Using UML Core Constructs for Spatio-temporal Data / 3.4.1：
Overview of Extended Spatio-temporal UML / 3.4.2：
Basic Constructs: Spatial, Temporal, Thematic / 3.4.3：
Additional Constructs: Specification Box, Existence Time, and Groups / 3.4.4：
Example of Usage / 3.4.5：
Related Work / 3.5：
Spatio-temporal Models and Languages: An Approach Based on Data Types / Ralf Hartmut Güting ; Michael H. Böhlen ; Martin Erwig ; Nikos Lorentzos ; Enrico Nardelli ; Markus Schneider ; Jose R.R. Viqueira3.6：
The Data Type Approach / 4.1：
Modeling / 4.2.1：
Some Example Queries / 4.2.3：
Some Basic Issues / 4.2.4：
An Abstract Model: A Foundation for Representing and Querying Moving Objects / 4.3：
Spatio-temporal Data Types / 4.3.1：
Language Embedding of Abstract Data Types / 4.3.2：
Overview of Data Type Operations / 4.3.3：
Operations on Non-temporal Types / 4.3.4：
Operations on Temporal Types / 4.3.5：
Application Example / 4.3.6：
Summary / 4.3.7：
A Discrete Model: Data Structures for Moving Objects Databases / 4.4：
Overview / 4.4.1：
Definition of Discrete Data Types / 4.4.2：
Outlook / 4.5：
Spatio-temporal Predicates and Developments / 4.5.1：
Spatio-temporal Partitions / 4.5.2：
On a Spatio-temporal Relational Model Based on Quanta / 4.5.3：
Spatio-temporal Statement Modifiers / 4.5.4：
Spatio-temporal Models and Languages: An Approach Based on Constraints / Stéphane Grumbach ; Philippe Rigaux ; Michel Scholl ; Spiros Skiadopoulos5：
Representing Spatio-temporal Information Using Constraints / 5.1：
An Algebra for Relations with Constraints / 5.2.1：
Indefinite Information in Spatio-temporal Databases / 5.3：
Querying Indefinite Information / 5.3.1：
Beyond Flat Constraint Relations: The dedale Approach / 5.4：
The dedale Algebra / 5.4.1：
The User Query Language of dedale / 5.5：
The Syntax / 5.5.1：
Example Queries / 5.5.2：
Access Methods and Query Processing Techniques / Adriano Di Pasquale ; Luca Forlizzi ; Yannis Manolopoulos ; Dieter Pfoser ; Guido Proietti ; Simonas èaltenis ; Yannis Theodoridis ; Theodoros Tzouramanis ; Michael Vassilakopoulos5.6：
R-Tree-Based Methods / 6.1：
Preliminary Approaches / 6.2.1：
The Spatio-bitemporal R Tree / 6.2.2：
The Time-Parameterized R Tree / 6.2.3：
Trajectory Bundle / 6.2.4：
Quadtree-Based Methods / 6.3：
The MOF Tree / 6.3.1：
The MOF+-Tree / 6.3.2：
Overlapping Linear Quadtrees / 6.3.3：
Multiversion Linear Quadtree / 6.3.4：
Data Structures and Algorithms for the Discrete Model / 6.4：
Data Structures / 6.4.1：
Two Example Algorithms / 6.4.2：
Benchmarking and Data Generation / 6.5：
Benchmarking / 6.5.1：
Data Generation / 6.5.2：
Distribution and Optimization Issues / 6.6：
Distributed Indexing Techniques / 6.6.1：
Query Optimization / 6.6.2：
Architectures and Implementations of Spatio-temporal Database Management Systems / Martin Breunig ; Can Türker ; Stefan Dieker ; Lukas Relly ; Hans-Jörg Schek ; Michel Scholl|p2636.7：
Architectural Aspects / 7.1：
The Layered Architecture / 7.2.1：
The Monolithic Architecture / 7.2.2：
The Extensible Architecture / 7.2.3：
Commercial Approaches to Spatial-temporal Extensions / 7.2.4：
The Concert Prototype System / 7.3：
Architecture / 7.3.1：
Spatio-temporal Extensions / 7.3.3：
Implementation Details / 7.3.4：
Case Studies / 7.3.5：
The Secondo Prototype System / 7.4：
Second-Order Signature / 7.4.1：
Implementing Spatio-temporal Algebra Modules / 7.4.3：
The Dedale Prototype System / 7.5：
Interpolation in the Constraint Model: Representation of Moving Objects / 7.5.1：
Example of Query Evaluation / 7.5.3：
The Tiger Prototype System / 7.6：
Tiger's Implementation / 7.6.1：
Processing Queries Using External Modules-Case Study / 7.6.5：
The GeoToolKit Prototype System / 7.7：
CaseStudies / 7.7.1：
Advanced Uses: Composing Interactive Spatio-temporal Documents / Isabelle Mirbel ; Barbara Pernici ; Babis Theodoulidis ; Alex Vakaloudis ; Michalis Vazirgiannis7.8：
Interactive Presentations and Spatio-temporal Databases / 8.1：
Modeling the Components of Spatio-temporal Interactive Documents / 8.3：
Particularities of 3D-Spatio-temporal Modeling for ScenarioComponents / 8.3.1：
Meta-modeling / 8.3.2：
Temporal Semantics / 8.3.3：
3D-Spatial Semantics / 8.3.4：
3D-Spatio-temporal Semantics / 8.3.5：
Modeling of Spatio-temporal Behavior / 8.4：
Modeling Interaction with Events / 8.4.1：
Database Support for Scenario Components / 8.5：
Querying and Accessing Stored Components / 8.5.1：
A Global Architecture / 8.5.2：
Examples of Applications / 8.6：
Spatio-temporal Databases in the Years Ahead / 8.7：
Mobile and Wireless Computing / 9.1：
Data Warehousing and Mining / 9.3：
The Semantic Web / 9.4：
List of Contributors / 9.5：
Introduction / Manolis Koubarakis ; Timos Sellis1：
Why Spatio-temporal Databases? / 1.1：
Chorochronos / 1.2：
5.

図書
図書
5. Implementing service quality in IP networks
Vilho Räisänen
出版情報: Chichester, England : Wiley, c2003  xxvii, 325 p. ; 25 cm
所蔵情報: loading…
目次情報: 続きを見る
Preface
Acknowledgements
List of Figures
List of Tables
Abbreviations
Drivers for the Adoption of Multi-service Networks
Service Quality Requirements
Network Mechanisms for Multi-service Quality Support
Traffic Engineering for Multi-service IP Networks / 1：
Mapping Service Requirements to Network Resources
Service Level Management Techniques
Measurements / 1.1：
Mechanisms for Dynamic Service Quality Control
Customer Perspective
Case Study: Service Quality Support in an IP-based Cellular RAN
Conclusion / 1.2：
References
Network Operator Perspective
Index
Service Provider Perspective / 1.3：
Summary / 1.4：
Services on the Internet / 2：
Definition of a Service / 2.2：
End user service versus provider-level services / 2.2.1：
About service instances and service events / 2.2.2：
Reference model for this section / 2.2.3：
Service Quality Estimation / 2.3：
Measures of end user experienced service quality / 2.3.1：
Recency effect / 2.3.2：
Psychological factors / 2.3.3：
Service Implementation Aspects / 2.3.4：
Choice of transport protocols / 2.4.1：
Throughput adaptability of services / 2.4.2：
Inherent Service Quality Requirements / 2.5：
Service quality characterizations in standards / 2.5.1：
Availability of service / 2.5.2：
Continuity of service / 2.5.3：
Delivery time end-to-end / 2.5.4：
Throughput / 2.5.5：
Support for continuous service data unit transmission / 2.5.6：
Reliability of service delivery / 2.5.7：
Support for variable transfer rate / 2.5.8：
Generic considerations related to service requirements / 2.5.9：
Service Quality Descriptors / 2.6：
Measurement-based determination of traffic profile / 2.6.1：
Introduction to Network Quality Support / 2.7：
Policing of Traffic at Ingress / 3.2：
About Layers / 3.3：
Types of Network Support for Service Quality / 3.4：
Capacity reservation / 3.4.1：
Differentiated treatment / 3.4.2：
Differentiation of service quality instantiation / 3.4.3：
Summary of generic network service quality support mechanisms / 3.4.4：
Service Support in ATM / 3.5：
ATM service models / 3.5.1：
Summary of ATM service support / 3.5.2：
Service Support Models in Internet Protocol / 3.6：
Best effort service model / 3.6.1：
Controlled-load service support / 3.6.2：
Guaranteed QoS support / 3.6.3：
RSVP / 3.6.4：
Statistical QoS: DiffServ model / 3.6.5：
EF PHB / 3.6.5.1：
AF PHB group / 3.6.5.2：
Other PHBs / 3.6.5.3：
Functions of a DiffServ router / 3.6.5.4：
Summary of DiffServ / 3.6.5.5：
Summary of IP QoS service models / 3.6.6：
Routing in IP Networks / 3.7：
On addressing / 3.7.1：
IP routing protocol-based methods / 3.7.2：
ATM overlays / 3.7.3：
Lower layer tunnels: MPLS / 3.7.4：
Link Layer Issues / 3.8：
Performance / 3.8.1：
A note on scheduling / 3.8.2：
Traffic Engineering / 3.9：
Context of traffic engineering / 4.1.1：
The traffic engineering process / 4.1.2：
Obtaining performance data from the network and analysing it / 4.1.3：
Traffic aggregate performance measurements / 4.1.3.1：
Obtaining data relevant for routing control / 4.1.3.2：
Performance enhancement / 4.1.4：
Scope of network optimization / 4.1.5：
IP Routing Control and Traffic Engineering / 4.2：
Optimizing routing based on service quality characteristics / 4.2.1：
Traffic engineering using MPLS / 4.2.2：
DiffServ over MPLS / 4.2.2.1：
Traffic engineering using IP routing protocols / 4.2.3：
Configuration / 4.2.4：
Policy-based management / 4.3.1：
Policy-based management of DiffServ / 4.3.2：
Case study of policy-based management of DiffServ / 4.3.2.1：
Scope of this Chapter / 4.4：
ETSI EP TIPHON Reference Model / 5.2：
Architecture / 5.2.1：
QoS model / 5.2.2：
QBONE / 5.2.3：
Service support models / 5.3.1：
3GPP QoS Model / 5.3.2：
Other Models / 5.4.1：
Utility-based Allocation of Resources / 5.6：
Generic Resource Allocation Framework / 5.6.1：
Signalling / 5.7.1：
Mapping of services onto network resources / 5.7.2：
Network quality support configuration for DiffServ / 5.7.3：
End-to-end service quality budgets / 5.7.4：
Delay / 5.7.4.1：
Delay variation / 5.7.4.2：
Packet loss rate / 5.7.4.3：
Packet loss correlation / 5.7.4.4：
Optimization of resource allocation / 5.7.4.5：
Models for Service Level Management / 5.8：
Areas of service level management / 6.1.1：
Layers of service level management / 6.1.2：
Models for managed data / 6.1.3：
Service Planning and Creation Process / 6.2：
Interests of the customer / 6.2.1：
Network operator viewpoint / 6.2.2：
Service definition / 6.2.3：
Reporting / 6.2.4：
Service Level Agreements / 6.3：
SLA and DiffServ / 6.3.1：
SLA contents / 6.3.2：
End user SLAs / 6.3.3：
End-to-end Services / 6.4：
Assumptions about connection endpoints / 6.4.1：
Assumptions about per-domain service management / 6.4.2：
Requirements for end-to-end service management / 6.4.3：
Service Brokers and Charging / 6.5：
Traffic Characterization / 6.6：
Network Monitoring / 7.2：
Troubleshooting measurements for services / 7.2.1：
Traffic Control / 7.3：
Definition of Measured Characteristics / 7.4：
Sources of Measurement Data / 7.5：
Measurement interfaces / 7.5.1：
Measured characteristics / 7.5.2：
Measurement Methods / 7.6：
Obtaining performance data from network elements / 7.6.1：
Monitoring a link / 7.6.2：
Monitoring a route or node pair / 7.6.3：
Traffic Engineering Measurement Infrastructure / 7.7：
Measuring entity / 7.7.1：
Interface to measuring entity / 7.7.2：
Measurement control and analysis function / 7.7.3：
Internet Service Quality Measurement Architectures / 7.8：
QBone measurement architecture / 7.8.1：
Discussion / 7.8.1.1：
Nokia Research Center measurement architecture demonstrator / 7.8.2：
Previous Studies / 7.8.2.1：
Two-bit DiffServ architecture / 8.1.1：
Bandwidth broker in QBone architecture / 8.1.2：
Phase 0 Bandwidth Broker / 8.1.2.1：
Phase 1 Bandwidth Broker / 8.1.2.2：
QoS Agents / 8.1.3：
Generic Model / 8.2：
Service quality support instantiation control / 8.2.1：
Signalling interface / 8.2.1.1：
Internal bandwidth broker operation / 8.2.1.2：
Domain control / 8.2.2：
Link to traffic engineering / 8.2.2.1：
Means of maintaining information about resource availability / 8.2.2.2：
Inter-domain signalling / 8.2.3：
Link to service admission control / 8.2.4：
Motivation for Using IP-based Transport in Cellular RAN / 8.3：
IP RAN Transport Architecture / 9.2：
PLMN transport architecture / 9.2.1：
IP RAN transport architecture / 9.2.2：
Handover traffic / 9.2.3：
Service mapping in IP RAN / 9.2.4：
Traffic Engineering in All-IP RAN / 9.3：
Capacity planning / 9.3.1：
Capacity management / 9.3.2：
Traffic management / 9.3.3：
Enabling Technologies for Traffic Engineering in IP RAN / 9.4：
Inter-operation with IP-based Backbones and Roaming Networks / 9.4.1：
IP as the Convergence Network / 9.6：
DiffServ / 10.2：
Complementary technologies for DiffServ / 10.2.1：
Service Level Management / 10.3：
Potential Future Development Directions / 10.4：
Preface
Acknowledgements
List of Figures
6.

電子ブック
ＥＢ
6. Spatio-Temporal Databases
Gerhard; Hartmanis, Juris; van Leeuwen, Jan; Theodoulidis, Babis ; Tryfona, Nectaria ; Grumbach, Stephane ; Guting, Ralf Hartmut Goos, Manolis Koubarakis, Andrew U. Frank, Stéphane Grumbach, Ralf Hartmut Güting, Christian S. Jensen, Nikos Lorentzos, Yannis Manolopoulos, Enrico Nardelli, Barbara Pernici, Timos Sellis
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2003
所蔵情報: loading…
目次情報: 続きを見る
Introduction / Manolis Koubarakis ; Timos Sellis1：
Why Spatio-temporal Databases? / 1.1：
Chorochronos / 1.2：
Contributions / 1.3：
Organization of the Book / 1.4：
References
Ontology for Spatio-temporal Databases / Andrew U. Frank2：
Ontology to Drive Information System Design / 2.1：
Ontological Problems of Geographic Information Systems and Other Spatio-temporal Information Systems / 2.1.2：
Structure of the Chapter / 2.1.3：
The Notion of Ontology / 2.2：
Classical View / 2.2.1：
Social Reality / 2.2.2：
Application Domains / 2.3：
Table-Top Situation / 2.3.1：
Cityscape / 2.3.2：
Geographic Landscape / 2.3.3：
Model of Information Systems / 2.4：
Information Systems as Vehicles of Exchange between Multiple Agents / 2.4.1：
Correctness of Information System Related to Observations / 2.4.2：
Semantics for Terms in Information Systems / 2.4.3：
Grounding of Semantics in Physical Operations / 2.4.4：
The Five Tiers of the Ontology / 2.5：
Physical Reality Seen as an Ontology of a Four-Dimensional Field / 2.5.1：
Observation of Physical Reality / 2.5.2：
Operations and Ontology of Individuals / 2.5.3：
Social Ontology / 2.5.4：
Ontology of Cognitive Agents / 2.5.5：
The Language to Describe the Ontology / 2.6：
Tools to Implement Ontologies / 2.6.1：
Multi-agent Systems and Formalization of Database Ontologies / 2.6.2：
Ontological Tier 0: Ontology of the Physical Reality / 2.7：
Properties / 2.7.1：
Physical Space-Time Field / 2.7.2：
Ontological Tier 1: Our Limited Knowledge of the World through Observations of Reality / 2.8：
Observations / 2.8.1：
Measurement Units / 2.8.2：
Classification of Values / 2.8.3：
Special Observations: Points in Space and Time / 2.8.4：
Approximate Location / 2.8.5：
Discretization and Sampling / 2.8.6：
Virtual Datasets: Validity of Values / 2.8.7：
Ontological Tier 2: Representation - World of Individual Objects / 2.9：
Objects Are Defined by Uniform Properties / 2.9.1：
Geometry of Objects / 2.9.2：
Properties of Objects / 2.9.3：
Geographic Objects Are not Solid Bodies / 2.9.4：
Objects Endure in Time / 2.9.5：
Temporal, but A-Spatial Objects / 2.9.6：
Ontological Tier 3: Socially Constructed Reality / 2.10：
Social Reality Is Real within a Context / 2.10.1：
Names / 2.10.2：
Institutional Reality / 2.10.3：
Ontological Tier 4: Modeling Cognitive Agents / 2.11：
Logical Deduction / 2.11.1：
Two Time Perspectives / 2.11.2：
Sources of Knowledge / 2.11.3：
Ontological Commitments Necessary for a Spatio-temporal Database / 2.12：
Existence of a Single Reality / 2.12.1：
Values for Properties Can Be Observed / 2.12.2：
Assume Space and Time / 2.12.3：
Observations Are Necessarily Limited / 2.12.4：
Processes Determine Objects / 2.12.5：
Names of Objects / 2.12.6：
Social, Especially Institutionally Constructed Reality / 2.12.7：
Knowledge of an Agent Is Changing in Time / 2.12.8：
Conclusions / 2.13：
Conceptual Models for Spatio-temporal Applications / Nectaria Tryfona ; Rosanne Price ; Christian S. Jensen3：
Motivation / 3.1：
Spatio-temporal Foundations / 3.2：
Spatio-temporal Entity-Relationship Model / 3.3：
Extending the ER with Spatio-temporal Constructs / 3.3.1：
A Textual Notation for STER / 3.3.2：
Example of Usage of STER / 3.3.3：
Spatio-temporal Unified Modeling Language / 3.4：
Using UML Core Constructs for Spatio-temporal Data / 3.4.1：
Overview of Extended Spatio-temporal UML / 3.4.2：
Basic Constructs: Spatial, Temporal, Thematic / 3.4.3：
Additional Constructs: Specification Box, Existence Time, and Groups / 3.4.4：
Example of Usage / 3.4.5：
Related Work / 3.5：
Spatio-temporal Models and Languages: An Approach Based on Data Types / Ralf Hartmut Güting ; Michael H. Böhlen ; Martin Erwig ; Nikos Lorentzos ; Enrico Nardelli ; Markus Schneider ; Jose R.R. Viqueira3.6：
The Data Type Approach / 4.1：
Modeling / 4.2.1：
Some Example Queries / 4.2.3：
Some Basic Issues / 4.2.4：
An Abstract Model: A Foundation for Representing and Querying Moving Objects / 4.3：
Spatio-temporal Data Types / 4.3.1：
Language Embedding of Abstract Data Types / 4.3.2：
Overview of Data Type Operations / 4.3.3：
Operations on Non-temporal Types / 4.3.4：
Operations on Temporal Types / 4.3.5：
Application Example / 4.3.6：
Summary / 4.3.7：
A Discrete Model: Data Structures for Moving Objects Databases / 4.4：
Overview / 4.4.1：
Definition of Discrete Data Types / 4.4.2：
Outlook / 4.5：
Spatio-temporal Predicates and Developments / 4.5.1：
Spatio-temporal Partitions / 4.5.2：
On a Spatio-temporal Relational Model Based on Quanta / 4.5.3：
Spatio-temporal Statement Modifiers / 4.5.4：
Spatio-temporal Models and Languages: An Approach Based on Constraints / Stéphane Grumbach ; Philippe Rigaux ; Michel Scholl ; Spiros Skiadopoulos5：
Representing Spatio-temporal Information Using Constraints / 5.1：
An Algebra for Relations with Constraints / 5.2.1：
Indefinite Information in Spatio-temporal Databases / 5.3：
Querying Indefinite Information / 5.3.1：
Beyond Flat Constraint Relations: The dedale Approach / 5.4：
The dedale Algebra / 5.4.1：
The User Query Language of dedale / 5.5：
The Syntax / 5.5.1：
Example Queries / 5.5.2：
Access Methods and Query Processing Techniques / Adriano Di Pasquale ; Luca Forlizzi ; Yannis Manolopoulos ; Dieter Pfoser ; Guido Proietti ; Simonas èaltenis ; Yannis Theodoridis ; Theodoros Tzouramanis ; Michael Vassilakopoulos5.6：
R-Tree-Based Methods / 6.1：
Preliminary Approaches / 6.2.1：
The Spatio-bitemporal R Tree / 6.2.2：
The Time-Parameterized R Tree / 6.2.3：
Trajectory Bundle / 6.2.4：
Quadtree-Based Methods / 6.3：
The MOF Tree / 6.3.1：
The MOF+-Tree / 6.3.2：
Overlapping Linear Quadtrees / 6.3.3：
Multiversion Linear Quadtree / 6.3.4：
Data Structures and Algorithms for the Discrete Model / 6.4：
Data Structures / 6.4.1：
Two Example Algorithms / 6.4.2：
Benchmarking and Data Generation / 6.5：
Benchmarking / 6.5.1：
Data Generation / 6.5.2：
Distribution and Optimization Issues / 6.6：
Distributed Indexing Techniques / 6.6.1：
Query Optimization / 6.6.2：
Architectures and Implementations of Spatio-temporal Database Management Systems / Martin Breunig ; Can Türker ; Stefan Dieker ; Lukas Relly ; Hans-Jörg Schek ; Michel Scholl|p2636.7：
Architectural Aspects / 7.1：
The Layered Architecture / 7.2.1：
The Monolithic Architecture / 7.2.2：
The Extensible Architecture / 7.2.3：
Commercial Approaches to Spatial-temporal Extensions / 7.2.4：
The Concert Prototype System / 7.3：
Architecture / 7.3.1：
Spatio-temporal Extensions / 7.3.3：
Implementation Details / 7.3.4：
Case Studies / 7.3.5：
The Secondo Prototype System / 7.4：
Second-Order Signature / 7.4.1：
Implementing Spatio-temporal Algebra Modules / 7.4.3：
The Dedale Prototype System / 7.5：
Interpolation in the Constraint Model: Representation of Moving Objects / 7.5.1：
Example of Query Evaluation / 7.5.3：
The Tiger Prototype System / 7.6：
Tiger's Implementation / 7.6.1：
Processing Queries Using External Modules-Case Study / 7.6.5：
The GeoToolKit Prototype System / 7.7：
CaseStudies / 7.7.1：
Advanced Uses: Composing Interactive Spatio-temporal Documents / Isabelle Mirbel ; Barbara Pernici ; Babis Theodoulidis ; Alex Vakaloudis ; Michalis Vazirgiannis7.8：
Interactive Presentations and Spatio-temporal Databases / 8.1：
Modeling the Components of Spatio-temporal Interactive Documents / 8.3：
Particularities of 3D-Spatio-temporal Modeling for ScenarioComponents / 8.3.1：
Meta-modeling / 8.3.2：
Temporal Semantics / 8.3.3：
3D-Spatial Semantics / 8.3.4：
3D-Spatio-temporal Semantics / 8.3.5：
Modeling of Spatio-temporal Behavior / 8.4：
Modeling Interaction with Events / 8.4.1：
Database Support for Scenario Components / 8.5：
Querying and Accessing Stored Components / 8.5.1：
A Global Architecture / 8.5.2：
Examples of Applications / 8.6：
Spatio-temporal Databases in the Years Ahead / 8.7：
Mobile and Wireless Computing / 9.1：
Data Warehousing and Mining / 9.3：
The Semantic Web / 9.4：
List of Contributors / 9.5：
Introduction / Manolis Koubarakis ; Timos Sellis1：
Why Spatio-temporal Databases? / 1.1：
Chorochronos / 1.2：
7.

図書
図書
7. FEM for springs
M. Shimoseki, T. Hamano, T. Imaizumi (eds.) ; organized by T. Kuwabara
出版情報: Berlin : Springer, c2003  xiii, 233 p. ; 25 cm
所蔵情報: loading…
目次情報: 続きを見る
Springs and Elastic Component / 1：
Spring Constant / 1.1：
Definition of the Spring / 1.1.1：
Tangential Gradient / 1.1.2：
System of Multiple Degrees of Freedom / 1.1.3：
Elastic Component in a Vibration System / 1.2：
Vibration Equations / 1.2.1：
Chords of a Guitar / 1.2.2：
Wave Equation / 1.2.3：
First Stages of Analysis / 1.3：
Orientation / 1.3.1：
Steps of Analysis / 1.3.2：
A Pitfall in the Approximate Solution / 1.3.3：
Element Stiffness of Elastic Component / 1.3.4：
One-Dimensional Combination of Components / 1.4：
Coupling Between Components / 1.4.1：
Generalized Matrix Equation for Coupled Elastic Components / 1.4.2：
Verification of Boundary Condition Type / 1.4.3：
Parallel Coupling of Elastic Components / 1.4.4：
Transverse Stiffness of Elastic Components / 1.4.5：
Plane Structures / 1.5：
Transformation of Coordinates / 1.5.1：
Obliquely Connected Components / 1.5.2：
From Components to Finite Elements / 1.5.3：
Outline of Finite Element Method (FEM) / 2：
Fundamentals of Elasto-Plasticity Dynamics / 2.1：
Viewpoint of Continuum Dynamics / 2.1.1：
General Equations / 2.1.2：
Basic Equations for Linear Elastic Body / 2.1.3：
Principle of Virtual Work / 2.1.4：
Expansion to Nonlinear Problems / 2.2：
Geometrical Nonlinearity / 2.2.1：
Material Nonlinearity / 2.2.2：
Expansion to Dynamic Problems / 2.3：
Mass and Damping Matrix / 2.3.1：
Natural Frequency / 2.3.2：
Simulation / 2.3.3：
Spatial Discretization / 2.4：
Derivating Procedure of Element Stiffness / 2.4.1：
Stiffness of Truss Elements / 2.4.2：
Element Stiffness of Plane Stress / 2.4.3：
Element Stiffness of a Three-dimensional Elastic Body / 2.4.4：
Role of Fem in Spring Analysis / 3：
Comparison Of Fem With Conventional Design Meth- ODS / 3.1：
Assumption in Model Construction / 3.1.1：
From Linear to Nonlinear / 3.1.2：
The Utilization of Fem Software / 3.2：
Use of Commercial Software / 3.2.1：
Selection of Commercial Software / 3.2.2：
Development of Dedicated Programs / 3.2.3：
Effectiveness in Design Practice / 3.3：
Single Spring and Peripheral Parts / 3.3.1：
Simulation of the Manufacturing Process / 3.3.2：
Prospect of Future Application / 3.4：
Optimum Design / 3.4.1：
Nonlinear Problems in Manufacturing Simulation / 3.4.2：
Necessity of Material Data / 3.4.3：
Classification and Application of Element / 4：
Introduction of Various Elements / 4.1：
Beam Elements / 4.1.1：
Plate Elements / 4.1.2：
Axisymmetric Elements / 4.1.3：
Cubic Elements (Solid Elements) / 4.1.4：
Contact Elements / 4.1.5：
Selection of Element and Discretizing Practice / 4.2：
Selection of Elements / 4.2.1：
Tips on Discretization / 4.2.2：
Elementary Analysis / 5：
Formed Wire Springs / 5.1：
Stabilizer Bars / 5.2：
Helical Compression Springs / 5.3：
Static Analysis / 5.3.1：
Analysis of Eigenvalue / 5.3.2：
Helical Extension Springs / 5.4：
Helical Torsion Springs / 5.5：
Spiral Springs / 5.6：
Leaf Springs / 5.7：
Flat Springs / 5.8：
Stress Concentration / 5.9：
Stress Concentration on the Periphery of a Center Bolt Hole for Leaf Springs / 5.9.1：
Stress Concentration at the Slit Bottom of a Disc Spring / 5.9.2：
Stress Concentration at the End of a Torsion Bar Spring / 5.9.3：
Expansion of Analytical Handling / 6：
Tubular Stabilizer Bars / 6.1：
Effect of Bush / 6.1.2：
Problem of Contact / 6.2：
Non-circular Cross Section / 6.2.2：
Presetting / 6.2.3：
Surging / 6.2.4：
RBA Type Leaf Springs / 6.3：
Effect of Shackle and Contact Plate / 6.3.2：
Hysteresis Characteristic / 6.3.3：
Wind-up / 6.3.4：
Disc Springs, Ring Springs / 6.3.5：
Disc Springs / 6.4.1：
Ring Springs / 6.4.2：
Index
Springs and Elastic Component / 1：
Spring Constant / 1.1：
Definition of the Spring / 1.1.1：
8.

図書
図書
8. Geometry, topology and quantum field theory
by Pratul Bandyopadhyay
出版情報: Dordrecht : Kluwer Academic, c2003  xi, 217 p. ; 25 cm
シリーズ名: Fundamental theories of physics ; v. 130
所蔵情報: loading…
目次情報: 続きを見る
Preface
Theory of Spinors / 1：
Spinors and Spin structure / 1.1：
Spinor space and Spinor Algebra / 1.1.1：
Spinors and Tensors / 1.1.2：
Universal Covering space / 1.1.3：
Spinor structure / 1.1.4：
Spinors in Different Dimensions / 1.2：
Simple Spinor Geometry / 1.2.1：
Conformal Spinors / 1.2.2：
Twistors and Cartan Semispinors / 1.2.3：
Supersymmetry and Superspace / 1.3：
Supersymmetry algebra / 1.3.1：
Superspace / 1.3.2：
Spinor structure and superspace / 1.3.3：
Fermions and Topology / 2：
Fermi Field and Nonlinear Sigma Model / 2.1：
Quantization of a Fermi Field and Sympletic Structure / 2.1.1：
Gauge Theorctic Extension of a Fermion and Nonlinear Sigma Model / 2.1.2：
Boson-Fermion Transformation / 2.1.3：
Vortex Line, Magnetic Flux and Fermion Quantization / 2.1.4：
Quantization and Anomaly / 2.2：
Quantum Mechanical Symmetry Breaking and Anomaly / 2.2.1：
Path Integral Formalism and Chiral Anomaly / 2.2.2：
Quantization of a Fermion and Chiral Anomaly / 2.2.3：
Anomaly and Topology / 2.3：
Topological Aspects of Anomaly / 2.3.1：
Chiral Anomaly and Berry Phase / 2.3.2：
Berry Phase and Fermion Number / 2.3.3：
Electroweak Theory / 3：
Weinberg - Salam Theory / 3.1：
Spontaneous Symmetry Breaking and the Nature of Vacuum / 3.1.1：
Weinberg-Salam Theory of Electroweak Interaction / 3.1.2：
Renormalization of Yang-Mills Theory with Spontaneous Symmetry Breaking / 3.1.3：
Topological Features in Field Theory / 3.2：
The Sine-Gordon Model / 3.2.1：
Vortex Lines / 3.2.2：
The Dirac Monopole / 3.2.3：
The't Hooft Polyakov Monopole / 3.2.4：
Instantons / 3.2.5：
Topological Origin of Mass / 3.3：
Topological Aspects of Chiral Anomaly and Origin of Mass / 3.3.1：
Weak Interaction Gauge Bosons and Topological Origin of Mass / 3.3.2：
Topological Features and Some Aspects of Weak Interaction Phenomenology / 3.3.3：
Skyrme Model / 4：
Nonlinear Sigma Model / 4.1：
Chiral Symmetry Breaking and Nonlinear Sigma Model / 4.1.1：
Nonlinear Sigma Model in Different Dimensions / 4.1.2：
Topological Term in Nonlinear Sigma Model / 4.1.3：
Skyrme Model for Nucleons / 4.2：
Skyrme's Approach: Mesonic Fluid Model / 4.2.1：
Nucleons as Topological Skyrmions / 4.2.2：
Static Properties of Nucleons / 4.2.3：
Baryons as Three Flavor Solitons / 4.3：
Extension of Nuclenoic Model to SU(3) Symmetry / 4.3.1：
Skyrmions and Quantum Chromodynamics / 4.3.2：
Skyrmion Statistics / 4.3.3：
Geometrical Aspects of a Skyrmion / 5：
Microlocal Space Time and Fermions / 5.1：
Microlocal Space Time and Massive Fermions as Solitons / 5.1.1：
Bosonic Degrees of Freedom and Fermion / 5.1.2：
Geometric Phase and [theta]-term / 5.1.3：
Internal Symmetry of Hadrons / 5.2：
Geometrical Aspects of Conformal Spinors / 5.2.1：
Reflection Group and the Internal Symmetry of Hadrons / 5.2.2：
Composite State of Skyrmions and Static Properties of Baryons / 5.2.3：
Supersymmetry and Internal Symmetry / 5.3：
Conformal Spinors and Supersymmetry / 5.3.1：
Reflection Group, Supersymmetry and Internal Symmetry / 5.3.2：
Conformal Spinors and Symmetry Group of Interactions / 5.3.3：
Noncommutative Geometry / 6：
Quantum Space Time / 6.1：
Noncommutative Geometry: Physical Perspective / 6.1.1：
Noncommutative Geometry and Quantum Phase space / 6.1.2：
Noncommutative Geometry and Quantum Group / 6.1.3：
Noncommutative Geometry and Particle Physics / 6.2：
Noncommutative Geometry and Electroweak Theory / 6.2.1：
Noncommutative Geometry and Standard Model / 6.2.2：
Noncommutative Generalization of Gauge Theory / 6.2.3：
Discrete Space as the Internal Space / 6.3：
Noncommutative Geometry and Quantization of a Fermion / 6.3.1：
Noncommutative Geometry, Disconnected Gauge Group and Chiral Anomaly / 6.3.2：
Noncommutative Geometry, Geometrical Aspects of a Skyrmion and Polyakov String / 6.3.3：
References
Subject Index
Preface
Theory of Spinors / 1：
Spinors and Spin structure / 1.1：
9.

図書
図書
9. Data mining : multimedia, soft computing, and bioinformatics
Sushmita Mitra, Tinku Acharya
出版情報: Hoboken, N.J. : John Wiley, c2003  xviii, 401 p., [2] p. of plates ; 25 cm
所蔵情報: loading…
目次情報: 続きを見る
Preface
Introduction to Data Mining / 1：
Introduction / 1.1：
Knowledge Discovery and Data Mining / 1.2：
Data Compression / 1.3：
Information Retrieval / 1.4：
Text Mining / 1.5：
Web Mining / 1.6：
Image Mining / 1.7：
Classification / 1.8：
Clustering / 1.9：
Rule Mining / 1.10：
String Matching / 1.11：
Bioinformatics / 1.12：
Data Warehousing / 1.13：
Applications and Challenges / 1.14：
Conclusions and Discussion / 1.15：
References
Soft Computing / 2：
What is Soft Computing? / 2.1：
Relevance / 2.2.1：
Fuzzy sets / 2.2.2：
Neural networks / 2.2.3：
Neuro-fuzzy computing / 2.2.4：
Genetic algorithms / 2.2.5：
Rough sets / 2.2.6：
Wavelets / 2.2.7：
Role of Fuzzy Sets in Data Mining / 2.3：
Granular computing / 2.3.1：
Association rules / 2.3.3：
Functional dependencies / 2.3.4：
Data summarization / 2.3.5：
Image mining / 2.3.6：
Role of Neural Networks in Data Mining / 2.4：
Rule extraction / 2.4.1：
Rule evaluation / 2.4.2：
Clustering and self-organization / 2.4.3：
Regression / 2.4.4：
Information retrieval / 2.4.5：
Role of Genetic Algorithms in Data Mining / 2.5：
Role of Rough Sets in Data Mining / 2.5.1：
Role of Wavelets in Data Mining / 2.7：
Role of Hybridizations in Data Mining / 2.8：
Multimedia Data Compression / 2.9：
Information Theory Concepts / 3.1：
Discrete memoryless model and entropy / 3.2.1：
Noiseless Source Coding Theorem / 3.2.2：
Classification of Compression Algorithms / 3.3：
A Data Compression Model / 3.4：
Measures of Compression Performance / 3.5：
Compression ratio and bits per sample / 3.5.1：
Quality metric / 3.5.2：
Coding complexity / 3.5.3：
Source Coding Algorithms / 3.6：
Run-length coding / 3.6.1：
Huffman coding / 3.6.2：
Principal Component Analysis for Data Compression / 3.7：
Principles of Still Image Compression / 3.8：
Predictive coding / 3.8.1：
Transform coding / 3.8.2：
Wavelet coding / 3.8.3：
Image Compression Standard: JPEG / 3.9：
The JPEG Lossless Coding Algorithm / 3.10：
Baseline JPEG Compression / 3.11：
Color space conversion / 3.11.1：
Source image data arrangement / 3.11.2：
The baseline compression algorithm / 3.11.3：
Decompression process in baseline JPEG / 3.11.4：
JPEG2000: Next generation still picture coding standard / 3.11.5：
Text Compression / 3.12：
The LZ77 algorithm / 3.12.1：
The LZ78 algorithm / 3.12.2：
The LZW algorithm / 3.12.3：
Other applications of Lempel-Ziv coding / 3.12.4：
Some definitions and preliminaries / 3.13：
String matching problem / 4.1.2：
Brute force string matching / 4.1.3：
Linear-Order String Matching Algorithms / 4.2：
String matching with finite automata / 4.2.1：
Knuth-Morris-Pratt algorithm / 4.2.2：
Boyer-Moore algorithm / 4.2.3：
Boyer-Moore-Horspool algorithm / 4.2.4：
Karp-Rabin algorithm / 4.2.5：
String Matching in Bioinformatics / 4.3：
Approximate String Matching / 4.4：
Basic definitions / 4.4.1：
Wagner-Fischer algorithm for computation of string distance / 4.4.2：
Text search with k-differences / 4.4.3：
Compressed Pattern Matching / 4.5：
Classification in Data Mining / 4.6：
Decision Tree Classifiers / 5.1：
ID3 / 5.2.1：
IBM IntelligentMiner / 5.2.2：
Serial PaRallelizable INduction of decision Trees (SPRINT) / 5.2.3：
RainForest / 5.2.4：
Overfitting / 5.2.5：
PrUning and BuiLding Integrated in Classification (PUBLIC) / 5.2.6：
Extracting classification rules from trees / 5.2.7：
Fusion with neural networks / 5.2.8：
Bayesian Classifiers / 5.3：
Bayesian rule for minimum risk / 5.3.1：
Naive Bayesian classifier / 5.3.2：
Bayesian belief network / 5.3.3：
Instance-Based Learners / 5.4：
Minimum distance classifiers / 5.4.1：
k-nearest neighbor (k-NN) classifier / 5.4.2：
Locally weighted regression / 5.4.3：
Radial basis functions (RBFs) / 5.4.4：
Case-based reasoning (CBR) / 5.4.5：
Granular computing and CBR / 5.4.6：
Support Vector Machines / 5.5：
Fuzzy Decision Trees / 5.6：
Rule generation and evaluation / 5.6.1：
Mapping of rules to fuzzy neural network / 5.6.3：
Results / 5.6.4：
Clustering in Data Mining / 5.7：
Distance Measures and Symbolic Objects / 6.1：
Numeric objects / 6.2.1：
Binary objects / 6.2.2：
Categorical objects / 6.2.3：
Symbolic objects / 6.2.4：
Clustering Categories / 6.3：
Partitional clustering / 6.3.1：
Hierarchical clustering / 6.3.2：
Leader clustering / 6.3.3：
Scalable Clustering Algorithms / 6.4：
Clustering large applications / 6.4.1：
Density-based clustering / 6.4.2：
Grid-based methods / 6.4.3：
Other variants / 6.4.5：
Soft Computing-Based Approaches / 6.5：
Evolutionary algorithms / 6.5.1：
Clustering with Categorical Attributes / 6.6：
Sieving Through Iterated Relational Reinforcements (STIRR) / 6.6.1：
Robust Hierarchical Clustering with Links (ROCK) / 6.6.2：
c-modes algorithm / 6.6.3：
Hierarchical Symbolic Clustering / 6.7：
Conceptual clustering / 6.7.1：
Agglomerative symbolic clustering / 6.7.2：
Cluster validity indices / 6.7.3：
Association Rules / 6.7.4：
Candidate Generation and Test Methods / 7.1：
A priori algorithm / 7.2.1：
Partition algorithm / 7.2.2：
Some extensions / 7.2.3：
Depth-First Search Methods / 7.3：
Interesting Rules / 7.4：
Multilevel Rules / 7.5：
Online Generation of Rules / 7.6：
Generalized Rules / 7.7：
Scalable Mining of Rules / 7.8：
Other Variants / 7.9：
Quantitative association rules / 7.9.1：
Temporal association rules / 7.9.2：
Correlation rules / 7.9.3：
Localized associations / 7.9.4：
Optimized association rules / 7.9.5：
Fuzzy Association Rules / 7.10：
Rule Mining with Soft Computing / 7.11：
Connectionist Rule Generation / 8.1：
Neural models / 8.2.1：
Neuro-fuzzy models / 8.2.2：
Using knowledge-based networks / 8.2.3：
Modular Hybridization / 8.3：
Rough fuzzy MLP / 8.3.1：
Modular knowledge-based network / 8.3.2：
Evolutionary design / 8.3.3：
Multimedia Data Mining / 8.3.4：
Keyword-based search and mining / 9.1：
Text analysis and retrieval / 9.2.2：
Mathematical modeling of documents / 9.2.3：
Similarity-based matching for documents and queries / 9.2.4：
Latent semantic analysis / 9.2.5：
Soft computing approaches / 9.2.6：
Content-Based Image Retrieval / 9.3：
Color features / 9.3.2：
Texture features / 9.3.3：
Shape features / 9.3.4：
Topology / 9.3.5：
Multidimensional indexing / 9.3.6：
Results of a simple CBIR system / 9.3.7：
Video Mining / 9.4：
MPEG-7: Multimedia content description interface / 9.4.1：
Content-based video retrieval system / 9.4.2：
Search engines / 9.5：
Bioinformatics: An Application / 9.5.2：
Preliminaries from Biology / 10.1：
Deoxyribonucleic acid / 10.2.1：
Amino acids / 10.2.2：
Proteins / 10.2.3：
Microarray and gene expression / 10.2.4：
Information Science Aspects / 10.3：
Protein folding / 10.3.1：
Protein structure modeling / 10.3.2：
Genomic sequence analysis / 10.3.3：
Homology search / 10.3.4：
Clustering of Microarray Data / 10.4：
First-generation algorithms / 10.4.1：
Second-generation algorithms / 10.4.2：
Role of Soft Computing / 10.5：
Predicting protein secondary structure / 10.6.1：
Predicting protein tertiary structure / 10.6.2：
Determining binding sites / 10.6.3：
Classifying gene expression data / 10.6.4：
Index / 10.7：
About the Authors
Preface
Introduction to Data Mining / 1：
Introduction / 1.1：
10.

図書
図書
10. C2H- (HCC-), C2H+ (HCC+), C2O- (CCO-), C2O (CCO), C2S (CCS), C3 (CCC), C3++ (CCC++)
G. Guelachvili, K. Narahari Rao ; edited by G. Guelachvili
出版情報: Berlin : Springer, c2003  lxxviii, 194 p. ; 28 cm.
シリーズ名: Landolt-Börnstein Zahlenwerte und Funktionen aus Naturwissenschaften und Technik, Neue Serie / Gesamtherausgabe, K.-H. Hellwege ; group 2 . Molecules and radicals ; v. 20 . Molecular constants : mostly from infrared spectroscopy ; subv. B . Linear triatomic molecules ; pt. 7
所蔵情報: loading…
目次情報: 続きを見る
The introduction essentially reports molecular theories and equations, based on which most of the evaluated data are established
Additional information of practical interest (list of symbols with their definitions, units, table of conversion factors, notations for the bands and energy levels, table of energy-related units and selected fundamental constants, ...) are also given
The tables are preceded by an additional index to help the search for specific information
In order to keep their consistency and their optimum ability to reproduce data, molecular constants are reported when possible from the same calculation of a given set of measurements
The subvolume ends with a reference section
The introduction essentially reports molecular theories and equations, based on which most of the evaluated data are established
Additional information of practical interest (list of symbols with their definitions, units, table of conversion factors, notations for the bands and energy levels, table of energy-related units and selected fundamental constants, ...) are also given
The tables are preceded by an additional index to help the search for specific information
11.

電子ブック
ＥＢ
11. Convex Variational Problems
Michael Bildhauer
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin / Heidelberg, 2003
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1：
Variational problems with linear growth: the general setting / 2：
Construction of a solution for the dual problem which is of class<$$$> / 2.1：
The dual problem / 2.1.1：
Regularization / 2.1.2：
2,loc-regularity for the dual problem / 2.1.3：
A uniqueness theorem for the dual problem / 2.2：
Partial <$$$>- and <$$$>-regularity, respectively, for generalized minimizers and for the dual solution / 2.3：
Partial <$$$>-regularity of generalized minimizers / 2.3.1：
Partial <$$$>-regularity of the dual solution / 2.3.2：
Degenerate variational problems with linear growth / 2.4：
The duality relation for degenerate problems / 2.4.1：
Application: an intrinsic regularity theory for s / 2.4.2：
Variational integrands with (s, µ, q)-growth / 3：
Existence in Orlicz-Sobolev spaces / 3.1：
The notion of (s,µ,q)-growth - examples / 3.2：
A priori gradient bounds and local <$$$>-estimates for scalar and structured vector-valued problems / 3.3：
A priori <$$$>-estimates / 3.3.1：
Proof of Theorem 3.16 / 3.3.3：
Conclusion / 3.3.4：
Partial regularity in the general vectorial setting / 3.4：
A Caccioppoli-type inequality / 3.4.1：
Blow-up / 3.4.3：
Blow-up and limit equation / 3.4.3.1：
An auxiliary proposition / 3.4.3.2：
Strong convergence / 3.4.3.3：
Iteration / 3.4.3.4：
Comparison with some known results / 3.5：
The scalar case / 3.5.1：
The vectorial setting / 3.5.2：
Two-dimensional anisotropic variational problems / 3.6：
Variational problems with linear growth: the case of µ-elliptic integrands / 4：
The case µ < 1 + 2/n / 4.1：
Some remarks on the dual problem / 4.1.1：
Proof of Theorem 4.4 / 4.1.3：
Bounded generalized solutions / 4.2：
The limit case µ = 3 / 4.2.1：
Higher local integrability / 4.2.2.1：
The independent variable / 4.2.2.2：
Lp-estimates in the case µ < 3 / 4.2.3：
A priori gradient bounds / 4.2.4：
Two-dimensional problems / 4.3：
Higher local integrability in the limit case / 4.3.1：
The case µ < 3 / 4.3.2：
A counterexample / 4.4：
Bounded solutions for convex variational problems with a wide range of anisotropy / 5：
Vector-valued problems / 5.1：
Scalar obstacle problems / 5.2：
Anisotropic linear/superlinear growth in the scalar case / 6：
Some remarks on relaxation / A：
The approach known from the minimal surface case / A.1：
The approach known from the theory of perfect plasticity / A.2：
Two uniqueness results / A.3：
Some density results / B：
Approximations in BV / B.1：
A density result for U n L(c) / B.2：
Local comparison functions / B.3：
Brief comments on steady states of generalized Newtonian fluids / C：
Notation and conventions / D：
References
Index
Introduction / 1：
Variational problems with linear growth: the general setting / 2：
Construction of a solution for the dual problem which is of class<$$$> / 2.1：
12.

図書
図書
12. Computational heat transfer. 2nd ed (pbk)
Yogesh Jaluria, Kenneth E. Torrance
出版情報: New York, N.Y. ; London : Taylor & Francis, 2003  xv, 544 p ; 24 cm
シリーズ名: Series in computational methods in mechanics and thermal sciences
所蔵情報: loading…
目次情報: 続きを見る
Preface to the Second Edition
Preface to the First Edition
Introduction / 1：
Thermal Transport / 1.1：
Mass Transfer and Fluid Flow / 1.2：
An Example / 1.3：
Importance of Analytical and Experimental Methods / 1.4：
Numerical Approach / 1.5：
Basic Considerations in a Numerical Solution / 1.6：
Outline and Scope of the Book / 1.7：
References
Mathematical Background / Part 1：
Governing Equations / 2：
Classification / 2.1：
Representative Differential Equations from Heat Transfer and Fluid Flow / 2.2：
Boundary and Initial Conditions / 2.3：
Integral Forms / 2.4：
Numerical Solution / 2.5：
Basic Equations / 2.5.1：
Different Approaches / 2.5.2：
Problems
Finite Differences / 3：
Basic Concepts / 3.1：
Direct Approximation Approach / 3.1.1：
Polynomial Representation / 3.1.2：
Taylor Series Approach and Accuracy / 3.1.3：
Control Volume Approach and Conservation / 3.1.4：
Numerical Considerations / 3.1.5：
Total Truncation Error / 3.1.5.1：
Discretization and Roundoff Errors / 3.1.5.2：
Convergence / 3.1.5.3：
Numerical Stability and the Equivalence Theorem / 3.1.5.4：
Steady-State Diffusion / 3.2：
Discretization / 3.2.1：
Solution of Simultaneous Equations / 3.2.2：
Iterative Methods / 3.2.2.1：
Direct Methods / 3.2.2.2：
Transient Diffusion / 3.3：
Two-Level Time Discretization / 3.3.1：
Matrix Stability Analysis / 3.3.2：
Fourier Series Stability Analysis / 3.3.3：
An Example of Numerical Instability / 3.3.4：
Other Explicit and Implicit Schemes / 3.3.5：
Finite Elements / 4：
Interpolation Functions / 4.1：
Integral Representations and Galerkin's Method / 4.1.3：
Assembly / 4.1.4：
Elements / 4.1.5：
Condensation and Substructuring / 4.1.6：
Practical Implementation / 4.1.7：
Matrix Equations with Boundary Conditions / 4.2：
One-Dimensional Diffusion / 4.2.2：
Two-Dimensional Diffusion / 4.2.3：
Typical FEM Solutions / 4.2.4：
The Matrix System / 4.3：
Finite Differences in Time / 4.3.2：
Diagonalization / 4.3.3：
Transient One-Dimensional Diffusion / 4.3.4：
Other Methods and Solutions / 4.3.5：
Simulation of Transport Processes / Part 2：
Numerical Methods for Conduction Heat Transfer / 5：
Numerical Solution of Steady-State Conduction / 5.1：
One-Dimensional Conduction / 5.2.1：
Finite Difference Approximation of the Boundary Conditions / 5.2.1.1：
An Example: Numerical Solution of Heat Transfer in an Extended Surface / 5.2.1.3：
Runge-Kutta Methods / 5.2.1.4：
Finite Difference Method / 5.2.1.5：
Multidimensional Steady-State Conduction / 5.2.2：
Finite Difference Formulation / 5.2.2.1：
Solution: Iterative and Direct Methods / 5.2.2.2：
Improvement in Accuracy of Numerical Results / 5.2.2.3：
Finite Element Formulation / 5.2.2.4：
Variable Property and Other Considerations / 5.2.3：
Numerical Solution of Unsteady-State Conduction / 5.3：
One-Dimensional Unsteady-State Conduction / 5.3.1：
FTCS Explicit Method / 5.3.1.1：
Other Methods / 5.3.1.2：
Numerical Approximation of Lumped Mass and Semi-infinite Solids / 5.3.2：
Multidimensional Unsteady-State Conduction / 5.3.3：
Numerical Methods for Time-Varying Boundary Conditions / 5.3.4：
Property Variation / 5.3.5：
Finite Element Solution / 5.3.6：
Grid Generation / 5.4：
Summary / 5.5：
Numerical Methods for Convection Heat Transfer / 6：
Computation of Forced Convection with Constant Fluid Properties / 6.1：
Inviscid Flow: Introduction to Stream Function and Vorticity / 6.2.1：
Equations for Viscous Flow: Primitive and Derived Variables / 6.2.2：
Linear Viscous Flow (Creeping Flow) / 6.2.3：
Computation of Boundary Layer Flows / 6.2.4：
Similarity Solution: Ordinary Differential Equations / 6.2.4.1：
Finite Difference Approach / 6.2.4.2：
Numerical Solution of the Full Equations / 6.2.5：
Central Differencing / 6.2.5.1：
Upwind, Hybrid and Other Lower-Order Differencing Schemes / 6.2.5.2：
Higher-Order Differencing Schemes for Convection / 6.2.5.3：
Other Numerical Methods and Considerations / 6.2.5.4：
Steady State Solution / 6.2.5.5：
Primitive Variables Approach / 6.2.5.6：
Simpler Algorithm / 6.2.5.7：
Finite Difference Considerations of the Conservative Form / 6.2.6：
Concluding Remarks on Flow Calculations / 6.2.7：
Energy Equation / 6.2.8：
Numerical Formulation / 6.2.8.1：
Boundary Conditions / 6.2.8.2：
Numerical Solution of Turbulent Flows / 6.2.8.3：
Computation of Natural Convection Flow and Transport / 6.3：
Similarity Solutions / 6.3.1：
Finite Difference Methods / 6.3.2：
Additional Considerations / 6.3.3：
Convection with Variable Fluid Properties / 6.4：
Finite Element Methods / 6.5：
Discretization and Interpolation Functions / 6.5.1：
Integral Representation / 6.5.2：
Element Equations and Assembly / 6.5.3：
Solution / 6.5.4：
Examples and Other Considerations / 6.5.5：
Comparison of Finite Element and Finite Difference Methods / 6.5.6：
Numerical Methods for Radiation Heat Transfer / 6.6：
Numerical Techniques for Enclosures with Diffuse-Gray Surfaces / 7.1：
Radiosity Method / 7.2.1：
Absorption Factor Method / 7.2.2：
Computation of View Factors / 7.2.3：
Temperature Dependence of Surface Properties / 7.2.3.2：
Spectral Variation / 7.2.3.3：
Nonuniform Irradiation and Emission: Discrete Integral Equations / 7.3：
Numerical Solution of Radiation in the Presence of Other Modes / 7.4：
Combined Modes at Boundaries: Nonparticipating Media / 7.4.1：
Participating Media / 7.4.2：
Other Methods For Participating Media / 7.5：
Monte Carlo Method / 7.6：
Combined Modes and Process Applications / 7.7：
Applications of Computational Heat Transfer / 8：
Numerical Simulation of Thermal Systems in Manufacturing / 8.1：
Heat Treatment: Temperature Regulation / 8.1.1：
Surface Treatment: Semi-infinite Approximation / 8.1.2：
Continuously Moving Materials: Moving Boundary Effects / 8.1.3：
Melting and Solidification: Phase Change Considerations / 8.1.4：
Other Processes / 8.1.5：
Numerical Simulation of Environmental Heat Transfer Problems / 8.2：
Cooling Ponds: Periodic Processes / 8.2.1：
Recirculating Flows in Enclosed Spaces / 8.2.2：
Fire-Induced Flows in Partial Enclosures / 8.2.3：
Free Boundary Flows and Other Problems / 8.2.4：
Computer Simulation and Computer-Aided Design of Thermal Systems / 8.2.5：
General Approach / 8.3.1：
Example of Computer Simulation of a Thermal System / 8.3.2：
Appendices
Finite Difference Approximations / A：
Sample Computer Programs / B：
Successive Over-Relaxation (SOR) Method / B.1：
Tridiagonal Matrix Algorithm (TDMA) or Thomas Algorithm / B.2：
Gauss-Jordan Elimination Method / B.3：
Forward-Time-Central-Space (FTCS) Method / B.4：
Crank-Nicolson Method / B.5：
Newton-Raphson Method / B.6：
Finite Difference Method for ODEs / B.7：
Runge-Kutta Method / B.8：
Alternating-Direction-Implicit (ADI) Method / B.9：
Material Properties / C：
Nomenclature
Index
Preface to the Second Edition
Preface to the First Edition
Introduction / 1：
13.

図書
図書
13. Mesoscopic electronics in solid state nanostructures
Thomas Heinzel
出版情報: Weinheim : Wiley-VCH, c2003  337 p. ; 25 cm
所蔵情報: loading…
目次情報: 続きを見る
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：
14.

電子ブック
ＥＢ
14. Data Mining on Multimedia Data
Petra Perner
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2003
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1：
What Is Data Mining? / 1.1：
Some More Real-World Applications / 1.2：
Data Mining Methods - An Overview / 1.3：
Basic Problem Types / 1.3.1：
Prediction / 1.3.2：
Classification / 1.3.2.1：
Regression / 1.3.2.2：
Knowlegde Discovery / 1.3.3：
Deviation Detection / 1.3.3.1：
Cluster Analysis / 1.3.3.2：
Visualization / 1.3.3.3：
Association Rules / 1.3.3.4：
Segmentation / 1.3.3.5：
Data Mining Viewed from the Data Side / 1.4：
Types of Data / 1.5：
Conclusion / 1.6：
Data Preparation / 2：
Data Cleaning / 2.1：
Handling Outlier / 2.2：
Handling Noisy Data / 2.3：
Missing Values Handling / 2.4：
Coding / 2.5：
Recognition of Correlated or Redundant Attributes / 2.6：
Abstraction / 2.7：
Attribute Construction / 2.7.1：
Images / 2.7.2：
Time Series / 2.7.3：
Web Data / 2.7.4：
Conclusions / 2.8：
Methods for Data Mining / 3：
Decision Tree Induction / 3.1：
Basic Principle / 3.1.1：
Terminology of Decision Tree / 3.1.2：
Subtasks and Design Criteria for Decision Tree Induction / 3.1.3：
Attribute Selection Criteria / 3.1.4：
Information Gain Criteria and Gain Ratio / 3.1.4.1：
Gini Function / 3.1.4.2：
Discretization of Attribute Values / 3.1.5：
Binary Discretization / 3.1.5.1：
Multi-interval Discretization / 3.1.5.2：
Discretization of Categorical or Symbolical Attributes / 3.1.5.3：
Pruning / 3.1.6：
Overview / 3.1.7：
Cost-Complexity Pruning / 3.1.8：
Some General Remarks / 3.1.9：
Summary / 3.1.10：
Case-Based Reasoning / 3.2：
Background / 3.2.1：
The Case-Based Reasoning Process / 3.2.2：
CBR Maintenance / 3.2.3：
Knowledge Containers in a CBR System / 3.2.4：
Design Consideration / 3.2.5：
Similarity / 3.2.6：
Formalization of Similarity / 3.2.6.1：
Similarity Measures / 3.2.6.2：
Similarity Measures for Images / 3.2.6.3：
Case Description / 3.2.7：
Organization of Case Base / 3.2.8：
Learning in a CBR System / 3.2.9：
Learning of New Cases and Forgetting of Old Cases / 3.2.9.1：
Learning of Prototypes / 3.2.9.2：
Learning of Higher Order Constructs / 3.2.9.3：
Learning of Similarity / 3.2.9.4：
Clustering / 3.2.10：
General Comments / 3.3.1：
Distance Measures for Metrical Data / 3.3.3：
Using Numerical Distance Measures for Categorical Data / 3.3.4：
Distance Measure for Nominal Data / 3.3.5：
Contrast Rule / 3.3.6：
Agglomerate Clustering Methods / 3.3.7：
Partitioning Clustering / 3.3.8：
Graphs Clustering / 3.3.9：
Similarity Measure for Graphs / 3.3.10：
Hierarchical Clustering of Graphs / 3.3.11：
Conceptual Clustering / 3.3.12：
Concept Hierarchy and Concept Description / 3.4.1：
Category Utility Function / 3.4.3：
Algorithmic Properties / 3.4.4：
Algorithm / 3.4.5：
Conceptual Clustering of Graphs / 3.4.6：
Notion of a Case and Similarity Measure / 3.4.6.1：
Evaluation Function / 3.4.6.2：
Prototype Learning / 3.4.6.3：
An Example of a Learned Concept Hierarchy / 3.4.6.4：
Evaluation of the Model / 3.4.7：
Error Rate, Correctness, and Quality / 3.5.1：
Sensitivity and Specifity / 3.5.2：
Test-and-Train / 3.5.3：
Random Sampling / 3.5.4：
Cross Validation / 3.5.5：
Feature Subset Selection / 3.5.6：
Feature Subset Selection Algorithms / 3.6.1：
The Wrapper and the Filter Model for Feature Subset Selection / 3.6.2.1：
Feature Selection Done by Decision Tree Induction / 3.6.3：
Feature Subset Selection Done by Clustering / 3.6.4：
Contextual Merit Algorithm / 3.6.5：
Floating Search Method / 3.6.6：
Applications / 3.6.7：
Controlling the Parameters of an Algorithm/Model by Case-Based Reasoning / 4.1：
Modelling Concerns / 4.1.1：
Case-Based Reasoning Unit / 4.1.2：
Management of the Case Base / 4.1.3：
Case Structure and Case Base / 4.1.4：
Non-image Information / 4.1.4.1：
Image Information / 4.1.4.2：
Image Similarity Determination / 4.1.5：
Image Similarity Measure 1 (ISim_1) / 4.1.5.1：
Image Similarity Measure 2 (iSIM_2) / 4.1.5.2：
Comparision of ISim_1 and ISim_2 / 4.1.5.3：
Segmentation Algorithm and Segmentation Parameters / 4.1.6：
Similarity Determination / 4.1.7：
Overall Similarity / 4.1.7.1：
Similarity Measure for Non-image Information / 4.1.7.2：
Similarity Measure for Image Information / 4.1.7.3：
Knowledge Acquisition Aspect / 4.1.8：
Mining Images / 4.1.9：
Preparing the Experiment / 4.2.1：
Image Mining Tool / 4.2.3：
The Application / 4.2.4：
Brainstorming and Image Catalogue / 4.2.5：
Interviewing Process / 4.2.6：
Setting Up the Automatic Image Analysis and Feature Extraction Procedure / 4.2.7：
Image Analysis / 4.2.7.1：
Feature Extraction / 4.2.7.2：
Collection of Image Descriptions into the Data Base / 4.2.8：
The Image Mining Experiment / 4.2.9：
Review / 4.2.10：
Using the Discovered Knowledge / 4.2.11：
Lessons Learned
Appendix / 5：
The IRIS Data Set
References
Index
Introduction / 1：
What Is Data Mining? / 1.1：
Some More Real-World Applications / 1.2：
15.

図書
図書
15. Accelerator driven subcritical reactors
H Nifenecker, O Meplan and S David
出版情報: Bristol : Institute of Physics Publishing, c2003  ix, 316 p. ; 25 cm
シリーズ名: Fundamental and applied nuclear physics series / series editors, R.R. Betts, W. Greiner and W.D. Hamilton
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1：
The energy issue / 2：
World energy perspectives / 2.1：
Energy consumptions / 2.1.1：
Fossil reserves / 2.1.2：
Greenhouse effect / 2.1.3：
Renewable energies / 2.2：
Solar energy / 2.2.1：
Biomass / 2.2.2：
Wind energy / 2.2.3：
Hydroelectricity / 2.2.4：
Nuclear energy / 2.3：
Standard reactors / 2.3.1：
Breeder reactors / 2.3.2：
Nuclear waste disposal options / 2.3.3：
Deployment of a breeder park / 2.3.4：
Costs / 2.4：
The possible role of accelerator driven subcritical reactors / 2.5：
Safety advantages of subcriticality / 2.5.1：
Use of additional neutrons / 2.5.2：
Elementary reactor theory / 3：
Interaction of neutrons with nuclei / 3.1：
Elementary processes / 3.1.1：
Properties of heavy nuclei / 3.1.2：
Neutron density, flux and reaction rates / 3.1.3：
Neutron propagation / 3.2：
Boltzmann equation / 3.2.1：
Integral form of the Boltzmann equation / 3.2.2：
Fick's law / 3.2.3：
Diffusion equation / 3.2.4：
Slowing down of neutrons / 3.2.5：
Neutron multiplying assemblies / 3.3：
Limiting values / 3.4：
Critical masses / 3.4.1：
Maximum flux / 3.4.2：
Reactor control / 3.5：
Delayed neutrons / 3.5.1：
Temperature dependence of the reactivity / 3.5.2：
Critical trip / 3.5.3：
Residual heat extraction / 3.5.4：
Fuel evolution / 3.6：
The Bateman equations / 3.6.1：
The long-term fuel evolutions / 3.6.2：
Basics of waste transmutation / 3.7：
Radiotoxicities / 3.7.1：
Neutron balance for transmutation and incineration / 3.7.2：
ADSR principles / 4：
Properties of the multiplying medium / 4.1：
Energy gain / 4.1.1：
Neutron balance / 4.1.2：
Neutron importance / 4.1.3：
Practical simulation methods / 5：
Neutron reaction data files / 5.1：
Determinstic methods / 5.2：
Monte Carlo codes / 5.3：
Deterministic versus Monte Carlo simulation codes / 5.3.1：
MCNP, a well validated Monte Carlo code / 5.3.2：
Physics in MCNP / 5.4：
Precision and variance reduction / 5.4.1：
MCNP in practice / 5.5：
Units / 5.5.1：
Input file structure / 5.5.3：
Examples / 5.6：
Reactivity calculation / 5.6.1：
Homogeneous versus heterogeneous cores / 5.6.2：
Subcritical core / 5.6.3：
Precision / 5.6.4：
Evolution constraint / 5.7：
Spatial flux / 5.7.2：
Special cross-section data / 5.7.3：
Time step between two MCNPs / 5.7.4：
The neutron source / 6：
Interaction of protons with matter / 6.1：
Electronic energy losses / 6.1.1：
Nuclear stopping / 6.1.2：
The nuclear cascade / 6.1.3：
Experimental tests of the INC models / 6.1.4：
State of the art of the simulation codes / 6.1.5：
Alternative primary neutron production / 6.2：
Deuteron induced neutron production / 6.2.1：
Muon catalysed fusion / 6.2.2：
Electron induced neutron production / 6.2.3：
Experimental determination of the energy gain / 6.3：
Two-stage neutron multipliers / 6.4：
High-intensity accelerators / 6.5：
State of the art of high-intensity accelerators / 6.5.1：
Requirements for ADSR accelerators / 6.5.2：
Perspectives for high-intensity accelerators for ADSRs / 6.5.3：
Examples of high-intensity accelerator concepts / 6.5.4：
ADSR kinetics / 7：
Reactivity evolutions / 8：
Long-term evolutions / 8.1：
Short-term reactivity excursions / 8.2：
Protactinium effect / 8.2.1：
Xenon effect / 8.2.2：
Temperature effect / 8.2.3：
Impact of reactivity excursions / 8.2.4：
Fuel reprocessing techniques / 9：
Basics of reprocessing / 9.1：
Wet processes / 9.2：
The purex process / 9.2.1：
Dry processes / 9.3：
Vaporization / 9.3.1：
Gas purge / 9.3.2：
Liquid-liquid extraction / 9.3.3：
Selective precipitation / 9.3.4：
Electrolysis / 9.3.5：
Generic properties of ADSRs / 10：
The homogeneous spherical reactor / 10.1：
General solution of the diffusion equation / 10.1.1：
The three-zone reactor / 10.1.2：
Model calculations / 10.1.3：
Parametric study of heterogeneous systems / 10.2：
Role of hybrid reactors in fuel cycles / 11：
The thorium-uranium cycle / 11.1：
Radiotoxicity / 11.1.1：
Breeding rates / 11.1.2：
Doubling time / 11.1.3：
Transition towards a [superscript 232]Th-based fuel from the PWR spent fuel, using a fast spectrum and solid fuel / 11.1.4：
Thorium cycle with thermal spectrum / 11.1.5：
Incineration / 11.2：
Plutonium incineration / 11.2.1：
Minor actinide incineration / 11.2.2：
Initial reactivity of MA fuels / 11.2.3：
Solid versus liquid fuels / 11.2.4：
The paradox of minor actinide fuels / 11.2.6：
Ground laying proposals / 12：
Solid fuel reactors / 12.1：
Lead cooled ADSR: the Rubbia proposal / 12.1.1：
Molten salt reactors / 12.2：
The Bowman proposal / 12.2.1：
The TIER concept / 12.2.2：
Cost estimates / 12.3：
Scenarios for the development of ADSRs / 13：
Experiments / 13.1：
The FEAT experiment / 13.1.1：
The MUSE experiment / 13.1.2：
Demonstrators / 13.2：
Japan / 13.2.1：
United States / 13.2.2：
Europe / 13.2.3：
Deep underground disposal of nuclear waste / Appendix I：
Model of an underground disposal site / I.1：
Radioelement diffusion in geological layers / I.1.2：
Physical model of diffusion in the clay layer / I.1.3：
Simplified solution of the diffusion problem through the clay layer / I.1.4：
Solubility as a limiting factor of the flow of radioactive nuclei / I.1.5：
Determining the dose to the population / I.2：
Some dose determination examples / I.2.1：
Full computation example of the dose at the outlet / I.2.2：
Accidental intrusion / I.3：
Drilled samples / I.3.1：
Using the well to draw drinking water / I.3.2：
Heat production and sizing of the storage site / I.4：
Schematic determination of the temperature distribution / I.4.1：
Geological hazard / I.4.2：
An underground laboratory. What for? / I.6：
Conclusion / I.7：
The Chernobyl accident and the RMBK reactors / Appendix II：
The RBMK-1000 reactor / II.1：
Events leading to the accident / II.2：
The accident / II.3：
Basics of accelerator physics / Appendix III：
Linear accelerators / III.1：
The Wideroe linear accelerator / III.1.1：
The Alvarez or drift tube linac (DTL) / III.1.2：
Phase stability / III.1.3：
Beam focusing / III.1.4：
The radio frequency quadrupole (RFQ) / III.1.5：
Cyclotrons / III.2：
Superconductive solutions / III.3：
Space charge limitations / III.4：
Bibliography
Index
Introduction / 1：
The energy issue / 2：
World energy perspectives / 2.1：
16.

図書
図書
16. Hierarchical neural networks for image interpretation
Sven Behnke
出版情報: Berlin ; Tokyo : Springer, c2003  xii, 224 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2766
所蔵情報: loading…
目次情報: 続きを見る
Foreword
Preface
Introduction / 1：
Motivation / 1.1：
Importance of Visual Perception / 1.1.1：
Performance of the Human Visual System / 1.1.2：
Limitations of Current Computer Vision Systems / 1.1.3：
Iterative Interpretation - Local Interactions in a Hierarchy / 1.1.4：
Organization of the Thesis / 1.2：
Contributions / 1.3：
Theory / Part I：
Neurobiological Background / 2：
Visual Pathways / 2.1：
Feature Maps / 2.2：
Layers / 2.3：
Neurons / 2.4：
Synapses / 2.5：
Discussion / 2.6：
Conclusions / 2.7：
Related Work / 3：
Hierarchical Image Models / 3.1：
Generic Signal Decompositions / 3.1.1：
Neural Networks / 3.1.2：
Generative Statistical Models / 3.1.3：
Recurrent Models / 3.2：
Models with Lateral Interactions / 3.2.1：
Models with Vertical Feedback / 3.2.2：
Models with Lateral and Vertical Feedback / 3.2.3：
Neural Abstraction Pyramid Architecture / 3.3：
Overview / 4.1：
Hierarchical Network Structure / 4.1.1：
Distributed Representations / 4.1.2：
Local Recurrent Connectivity / 4.1.3：
Iterative Refinement / 4.1.4：
Formal Description / 4.2：
Simple Processing Elements / 4.2.1：
Shared Weights / 4.2.2：
Discrete-Time Computation / 4.2.3：
Various Transfer Functions / 4.2.4：
Example Networks / 4.3：
Local Contrast Normalization / 4.3.1：
Binarization of Handwriting / 4.3.2：
Activity-Driven Update / 4.3.3：
Invariant Feature Extraction / 4.3.4：
Unsupervised Learning / 4.4：
Learning a Hierarchy of Sparse Features / 5.1：
Network Architecture / 5.2.1：
Initialization / 5.2.2：
Hebbian Weight Update / 5.2.3：
Competition / 5.2.4：
Learning Hierarchical Digit Features / 5.3：
Digit Classification / 5.4：
Supervised Learning / 5.5：
Nearest Neighbor Classifier / 6.1：
Decision Trees / 6.1.2：
Bayesian Classifier / 6.1.3：
SupportVectorMachines / 6.1.4：
Bias/Variance Dilemma / 6.1.5：
Feed-Forward Neural Networks / 6.2：
Error Backpropagation / 6.2.1：
Improvements to Backpropagation / 6.2.2：
Regularization / 6.2.3：
Recurrent Neural Networks / 6.3：
Backpropagation through Time / 6.3.1：
Real-Time Recurrent Learning / 6.3.2：
Difficulty of Learning Long-Term Dependencies / 6.3.3：
Random Recurrent Networks with Fading Memories / 6.3.4：
Robust Gradient Descent / 6.3.5：
Applications / 6.4：
Recognition of Meter Values / 7：
Introduction to Meter Value Recognition / 7.1：
Swedish Post Database / 7.2：
Preprocessing / 7.3：
Filtering / 7.3.1：
Normalization / 7.3.2：
Block Classification / 7.4：
NetworkArchitectureandTraining / 7.4.1：
Experimental Results / 7.4.2：
Digit Recognition / 7.5：
Digit Preprocessing / 7.5.1：
Combination with Block Recognition / 7.5.2：
Binarization of Matrix Codes / 7.6：
Introduction to Two-Dimensional Codes / 8.1：
Canada Post Database / 8.2：
Adaptive Threshold Binarization / 8.3：
Image Degradation / 8.4：
Learning Binarization / 8.5：
Learning Iterative Image Reconstruction / 8.6：
Introduction to Image Reconstruction / 9.1：
Super-resolution / 9.2：
NIST Digits Dataset / 9.2.1：
Architecture for Super-resolution / 9.2.2：
Filling-in Occlusions / 9.2.3：
MNIST Dataset / 9.3.1：
Architecture for Filling-in of Occlusions / 9.3.2：
Noise Removal and Contrast Enhancement / 9.3.3：
Reconstruction from a Sequence of Degraded Digits / 9.4.1：
Face Localization / 9.5.1：
Introduction to Face Localization / 10.1：
Face Database and Preprocessing / 10.2：
conclusions / 10.3：
Summary and Conclusions / 11：
Short Summary of Contributions / 11.1：
Future Work / 11.2：
implementation Options / 11.3.1：
Using More Complex Processing Elements / 11.3.2：
Integration into Complete Systems / 11.3.3：
References
Index
Foreword
Preface
Introduction / 1：
17.

電子ブック
ＥＢ
17. Hierarchical Neural Networks for Image Interpretation
Sven Behnke
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2003
所蔵情報: loading…
目次情報: 続きを見る
Foreword
Preface
Introduction / 1：
Motivation / 1.1：
Importance of Visual Perception / 1.1.1：
Performance of the Human Visual System / 1.1.2：
Limitations of Current Computer Vision Systems / 1.1.3：
Iterative Interpretation - Local Interactions in a Hierarchy / 1.1.4：
Organization of the Thesis / 1.2：
Contributions / 1.3：
Theory / Part I：
Neurobiological Background / 2：
Visual Pathways / 2.1：
Feature Maps / 2.2：
Layers / 2.3：
Neurons / 2.4：
Synapses / 2.5：
Discussion / 2.6：
Conclusions / 2.7：
Related Work / 3：
Hierarchical Image Models / 3.1：
Generic Signal Decompositions / 3.1.1：
Neural Networks / 3.1.2：
Generative Statistical Models / 3.1.3：
Recurrent Models / 3.2：
Models with Lateral Interactions / 3.2.1：
Models with Vertical Feedback / 3.2.2：
Models with Lateral and Vertical Feedback / 3.2.3：
Neural Abstraction Pyramid Architecture / 3.3：
Overview / 4.1：
Hierarchical Network Structure / 4.1.1：
Distributed Representations / 4.1.2：
Local Recurrent Connectivity / 4.1.3：
Iterative Refinement / 4.1.4：
Formal Description / 4.2：
Simple Processing Elements / 4.2.1：
Shared Weights / 4.2.2：
Discrete-Time Computation / 4.2.3：
Various Transfer Functions / 4.2.4：
Example Networks / 4.3：
Local Contrast Normalization / 4.3.1：
Binarization of Handwriting / 4.3.2：
Activity-Driven Update / 4.3.3：
Invariant Feature Extraction / 4.3.4：
Unsupervised Learning / 4.4：
Learning a Hierarchy of Sparse Features / 5.1：
Network Architecture / 5.2.1：
Initialization / 5.2.2：
Hebbian Weight Update / 5.2.3：
Competition / 5.2.4：
Learning Hierarchical Digit Features / 5.3：
Digit Classification / 5.4：
Supervised Learning / 5.5：
Nearest Neighbor Classifier / 6.1：
Decision Trees / 6.1.2：
Bayesian Classifier / 6.1.3：
SupportVectorMachines / 6.1.4：
Bias/Variance Dilemma / 6.1.5：
Feed-Forward Neural Networks / 6.2：
Error Backpropagation / 6.2.1：
Improvements to Backpropagation / 6.2.2：
Regularization / 6.2.3：
Recurrent Neural Networks / 6.3：
Backpropagation through Time / 6.3.1：
Real-Time Recurrent Learning / 6.3.2：
Difficulty of Learning Long-Term Dependencies / 6.3.3：
Random Recurrent Networks with Fading Memories / 6.3.4：
Robust Gradient Descent / 6.3.5：
Applications / 6.4：
Recognition of Meter Values / 7：
Introduction to Meter Value Recognition / 7.1：
Swedish Post Database / 7.2：
Preprocessing / 7.3：
Filtering / 7.3.1：
Normalization / 7.3.2：
Block Classification / 7.4：
NetworkArchitectureandTraining / 7.4.1：
Experimental Results / 7.4.2：
Digit Recognition / 7.5：
Digit Preprocessing / 7.5.1：
Combination with Block Recognition / 7.5.2：
Binarization of Matrix Codes / 7.6：
Introduction to Two-Dimensional Codes / 8.1：
Canada Post Database / 8.2：
Adaptive Threshold Binarization / 8.3：
Image Degradation / 8.4：
Learning Binarization / 8.5：
Learning Iterative Image Reconstruction / 8.6：
Introduction to Image Reconstruction / 9.1：
Super-resolution / 9.2：
NIST Digits Dataset / 9.2.1：
Architecture for Super-resolution / 9.2.2：
Filling-in Occlusions / 9.2.3：
MNIST Dataset / 9.3.1：
Architecture for Filling-in of Occlusions / 9.3.2：
Noise Removal and Contrast Enhancement / 9.3.3：
Reconstruction from a Sequence of Degraded Digits / 9.4.1：
Face Localization / 9.5.1：
Introduction to Face Localization / 10.1：
Face Database and Preprocessing / 10.2：
conclusions / 10.3：
Summary and Conclusions / 11：
Short Summary of Contributions / 11.1：
Future Work / 11.2：
implementation Options / 11.3.1：
Using More Complex Processing Elements / 11.3.2：
Integration into Complete Systems / 11.3.3：
References
Index
Foreword
Preface
Introduction / 1：
18.

図書
図書
18. Technology trends in wireless communications
Ramjee Prasad, Marina Ruggieri
出版情報: Boston, MA ; London : Artech House, c2003  xvii, 310 p. ; 24 cm
シリーズ名: The Artech House universal personal communications series
所蔵情報: loading…
目次情報: 続きを見る
Preface
Acknowledgments
Introduction / 1：
Evolution of Mobile Networks / 1.1：
Evolved Second Generation Systems / 1.1.1：
Third Generation Systems / 1.1.2：
Wireless Local Area Networks / 1.1.3：
Ad Hoc Networks and Wireless Personal Area Networks / 1.1.4：
Vision / 1.2：
Preview of the Book / 1.3：
References
Multiple Access Protocols / 2：
Desired Properties / 2.1：
Classification of MAPs / 2.2：
Random Access Protocols / 2.3：
p-ALOHA / 2.3.1：
Slotted-ALOHA / 2.3.2：
Carrier Sense Multiple Access / 2.3.3：
Inhibit Sense Multiple Access / 2.3.4：
Capture Effect / 2.3.5：
Contentionless MAPs / 2.4：
Fixed-Based Assignment Protocols / 2.4.1：
Demand-Based Assignment Protocols / 2.4.2：
CDMA Protocols / 2.5：
DS-CDMA / 2.5.1：
TDMA and CDMA / 2.5.2：
Multicarrier CDMA / 2.5.3：
MAPs for Wireless Multimedia Communications / 2.6：
Dynamic Packet Reservation Multiple Access / 2.6.1：
Centralized-PRMA / 2.6.2：
Multidimensional PRMA with Prioritized Bayesian Broadcast / 2.6.3：
CDMA-Oriented MAC / 2.6.4：
Trends in MAPs Design / 2.6.5：
IP Network Issues / 3：
Mobility Management / 3.1：
Mobility Classes / 3.2.1：
Architectures for Mobility Supporting / 3.2.2：
Mobile IP / 3.3：
Mobile IPv4 / 3.3.1：
IP Routing / 3.4：
Distance Vector Protocols / 3.4.1：
Link State Protocols / 3.4.2：
Routing in Ad Hoc Networks / 3.4.3：
Route Optimization in Mobile IP / 3.4.4：
IP QoS / 3.5：
IntServ and RSVP / 3.5.1：
DiffServ / 3.5.2：
MPLS / 3.5.3：
QoS in Mobile IP / 3.5.4：
IP QoS Among Heterogeneous Networks / 3.5.5：
Security Issues / 3.6：
IPSec / 3.6.1：
AAA / 3.6.2：
Security Issues in Mobile IP / 3.6.3：
Evolution of Mobile IP / 3.7：
Mobile IPv6 / 3.7.1：
Macro/Micromobility Extensions to Mobile IP / 3.7.2：
RSVP Support for Mobile IP Version 6 / 3.7.3：
Conclusions / 3.8：
TCP over Wireless Links / 4：
Standard TCP/IP Protocol / 4.1：
Sliding Window Mechanism / 4.2.1：
End-to-End Flow and Congestion Control / 4.2.2：
Implications of Large Bandwidth-Delay Product / 4.2.3：
Implications of Link with Errors and Mobility / 4.2.4：
TCP Enhancements / 4.3：
Summary of Recommendations / 4.3.1：
Splitting TCP / 4.3.2：
Snooping TCP / 4.3.3：
Data Link Layer Approach / 4.4：
Data Link Layer ARQ Protocols / 4.4.1：
New Trends in the Wireless Networks Design / 4.5：
Improved Link Layer Schemes / 4.5.1：
Adaptive Technologies / 4.6：
Diversity and Adaptation Techniques / 5.1：
Modulation and Channel Coding / 5.1.2：
Adaptive Modulation / 5.2：
Modulation Parameter Selection / 5.2.1：
Channel Prediction / 5.2.2：
Modulation Parameter Estimation at the Receiver / 5.2.3：
Coding in Adaptive Modulation Schemes / 5.2.4：
Adaptive Error Control / 5.3：
Adaptive FEC / 5.3.1：
Hybrid ARQ / 5.3.2：
Adaptive ARQ / 5.3.3：
Multilayer Adaptivity / 5.4：
Hardware and Software Implementations / 5.5：
Radio Resource Management for Wireless Multimedia Communications / 5.6：
QoS Requirements / 6.1：
General Formulation of the RRM Problem / 6.2：
Radio Resource Management in GPRS / 6.3：
RRM in UMTS / 6.4：
RRM in Future Wireless Systems / 6.5：
Real-Time Services / 6.6：
Packet Networks for Real-Time Services / 7.1：
Multiresolution Decomposition / 7.2.1：
Unequal Error Protection / 7.2.2：
Video Compression Techniques / 7.3：
Performance Metrics / 7.3.1：
Quantization / 7.3.2：
Redundancy Removal / 7.3.3：
Lossless Encoding / 7.3.4：
Video Streaming / 7.4：
Standards for Video Streaming / 7.4.1：
Scalability / 7.4.2：
Applications-Layer QoS Mechanisms / 7.4.3：
Joint Source/Channel Coding / 7.4.4：
VoIP / 7.5：
Personal Area Networks / 7.6：
PAN Concept / 8.1：
PAN Architecture / 8.2.1：
Applications Scenarios and Service Requirements / 8.2.2：
Possible Devices / 8.2.3：
State of the Art / 8.3：
Standardization Process / 8.3.1：
Technical Challenges of Future PANs / 8.4：
UWB for WPAN / 8.4.1：
Power Efficiency / 8.4.2：
Service Discovery/Selection / 8.4.3：
Security / 8.4.4：
Ad Hoc Networking / 8.4.5：
Coexistence and Interference-Reduction Techniques / 8.4.6：
Broadband PAN / 8.5：
Future Vision / 8.6：
User-Centric Scenario / 9.1：
Scientific Approach / 9.2：
Adaptive and Scalable Air Interfaces / 9.3：
Reconfigurable Ambient Networks / 9.4：
Optical Network Technologies / 9.5：
Multimedia User Interfaces and Context-Aware Technologies / 9.6：
Flexible Platforms / 9.7：
List of Acronyms / 9.8：
About the Authors
Index
Preface
Acknowledgments
Introduction / 1：
19.

電子ブック
ＥＢ
19. Improved Bonferroni Inequalities via Abstract Tubes
Klaus Dohmen
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin / Heidelberg, 2003
所蔵情報: loading…
目次情報: 続きを見る
Introduction and Overview / 1：
Preliminaries / 2：
Graphs and posets / 2.1：
Topology / 2.2：
Bonferroni Inequalities via Abstract Tubes / 3：
An outline of abstract tube theory / 3.1：
The notion of an abstract tube / 3.1.1：
Two fundamental theorems on abstract tubes / 3.1.2：
An importance sampling scheme / 3.1.3：
Examples of abstract tubes / 3.2：
Abstract tubes for convex polyhedra / 3.2.1：
Abstract tubes for unions of balls and spherical caps / 3.2.2：
Abstract Tubes via Closure and Kernel Operators / 4：
Abstract tubes via closure operators / 4.1：
Closure operators / 4.1.1：
How closure operators lead to abstract tubes / 4.1.2：
Abstract tubes via kernel operators / 4.2：
Kernel operators / 4.2.1：
How kernel operators lead to abstract tubes / 4.2.2：
Alternative proofs / 4.3：
Improved identities via closure operators / 4.3.1：
Improved inequalities via kernel operators / 4.3.2：
Additional proofs of identities / 4.3.3：
The chordal graph sieve / 4.4：
Recursive Schemes / 5：
Recursive schemes for semilattices / 5.1：
Dynamic programming approach / 5.2：
Reliability Applications / 6：
System reliability / 6.1：
Terminology / 6.1.1：
Abstract tubes for system reliability / 6.1.2：
ShierÆs pseudopolynomial algorithm / 6.1.3：
Inclusion-exclusion and domination theory / 6.1.4：
Special reliability systems / 6.2：
Communications networks / 6.2.1：
k-out-of-n systems / 6.2.2：
Consecutive k-out-of-n systems / 6.2.3：
Reliability covering problems / 6.3：
The hypergraph model / 6.3.1：
Abstract tubes and polynomial algorithms / 6.3.2：
Chapter notes / 6.4：
Combinatorial Applications and Related Topics / 7：
Inclusion-exclusion on partition lattices / 7.1：
Chromatic polynomials and broken circuits / 7.2：
The usual chromatic polynomial / 7.2.1：
The generalized chromatic polynomial / 7.2.2：
Sums over partially ordered sets / 7.3：
A general theorem on sums / 7.3.1：
Application to inclusion-exclusion / 7.3.2：
Matroid polynomials and the ? invariant / 7.4：
The Tutte polynomial / 7.4.1：
The characteristic polynomial / 7.4.2：
The ? invariant / 7.4.3：
Euler characteristics and Möbius functions / 7.5：
Euler characteristics / 7.5.1：
Möbius functions / 7.5.2：
Bibliography
Author Index
Subject Index
Introduction and Overview / 1：
Preliminaries / 2：
Graphs and posets / 2.1：
20.

図書
図書
20. Financial and actuarial statistics : an introduction
Dale S. Borowiak
出版情報: New York : M. Dekker, c2003  xi, 330 p. ; 24 cm
シリーズ名: Statistics : textbooks and monographs ; v. 167
所蔵情報: loading…
目次情報: 続きを見る
Preface
Statistical Concepts / 1：
Probability / 1.1：
Random Variables / 1.2：
Discrete Random Variables / 1.2.1：
Continuous Random Variables / 1.2.2：
Mixed Random Variables / 1.2.3：
Expectations / 1.3：
Moment Generating Function / 1.4：
Survival Functions / 1.5：
Conditional Distributions / 1.6：
Joint Distributions / 1.7：
Sampling Distributions and Estimation / 1.8：
Point Estimation / 1.8.1：
Percentiles and Prediction Intervals / 1.8.2：
Parameter Interval Estimation / 1.8.3：
Aggregate Sums of Independent Random Variables / 1.9：
Order Statistics / 1.10：
Approximating Aggregate Sums / 1.11：
Central Limit Theorem / 1.11.1：
Haldane Type A Approximation / 1.11.2：
Saddlepoint Approximation / 1.11.3：
Compound Random Variables / 1.12：
Expectations of Compound Variables / 1.12.1：
Limiting Distributions for Compound Variables / 1.12.2：
Regression Modeling / 1.13：
Least Squares Estimation / 1.13.1：
Regression Model Based Inference / 1.13.2：
Autoregressive Systems / 1.14：
Problems
Financial Computational Models / 2：
Fixed Financial Rate Models / 2.1：
Financial Rate Based Calculations / 2.1.1：
General Period Discrete Rate Models / 2.1.2：
Continuous Rate Models / 2.1.3：
Fixed Rate Annuities / 2.2：
Discrete Annuity Models / 2.2.1：
Continuous Annuity Models / 2.2.2：
Stochastic Rate Models / 2.3：
Discrete Stochastic Rate Model / 2.3.1：
Continuous Stochastic Rate Models / 2.3.2：
Discrete Stochastic Annuity Models / 2.3.3：
Continuous Stochastic Annuity Models / 2.3.4：
Deterministic Status Models / 3：
Basic Loss Model / 3.1：
Deterministic Loss Models / 3.1.1：
Stochastic Loss Criterion / 3.1.2：
Risk Criteria / 3.2.1：
Percentile Criteria / 3.2.2：
Single Risk Models / 3.3：
Insurance Pricing / 3.3.1：
Investment Pricing / 3.3.2：
Options Pricing / 3.3.3：
Short Time Period Collective Aggregate Models / 3.4：
Fixed Number of Variables / 3.4.1：
Stochastic Number of Variables / 3.4.2：
Aggregate Stop - Loss Insurance and Dividends / 3.4.3：
Stochastic Surplus Model / 3.5：
Future Lifetime Random Variable / 4：
Continuous Future Lifetime / 4.1：
Discrete Future Lifetime / 4.2：
Force of Mortality / 4.3：
Fractional Ages / 4.4：
Multiple Future Lifetimes / 4.5：
Joint Life Status / 4.5.1：
Last Survivor Status / 4.5.2：
General Contingent Status / 4.5.3：
Select Future Lifetimes / 4.6：
Multiple Decrement Lifetimes / 4.7：
Continuous Multiple Decrements / 4.7.1：
Forces of Mortality / 4.7.2：
Discrete Multiple Decrements / 4.7.3：
Single Decrement Probabilities / 4.7.4：
Uniformly Distributed Single Decrement Rates / 4.7.5：
Single Decrement Probability Bounds / 4.7.6：
Future Lifetime Models and Tables / 5：
Survivorship Groups / 5.1：
Life Models and Tables / 5.2：
Estimated Life Models and Tables / 5.3：
Life Models and Life Table Parameters / 5.4：
Population Parameters / 5.4.1：
Aggregate Parameters / 5.4.2：
Fractional Age Adjustments / 5.4.3：
Multiple Life Tables and Parameters / 5.5：
Select and Ultimate Life Tables / 5.6：
Multiple Decrement Tables / 5.7：
Multiple Decrement Life Tables / 5.7.1：
Single Decrement Life Tables / 5.7.2：
Stochastic Status Models / 6：
Stochastic Present Value Functions / 6.1：
Risk Evaluations / 6.2：
Continuous Risk Calculations / 6.2.1：
Discrete Risk Calculations / 6.2.2：
Mixed Risk Calculations / 6.2.3：
Percentile Evaluations / 6.3：
Life Insurance / 6.4：
Types of Unit Benefit Life Insurance / 6.4.1：
Life Annuities / 6.5：
Types of Unit Payment Life Annuities / 6.5.1：
Apportionable Annuities / 6.5.2：
Relating Risk Calculations / 6.6：
Relations Among Insurance Expectations / 6.6.1：
Relations Among Insurance and Annuity Expectations / 6.6.2：
Relations Among Annuity Expectations / 6.6.3：
Life Table Applications / 6.7：
Insurance Premiums / 6.8：
Unit Benefit Premium Notation / 6.8.1：
Reserves / 6.9：
Unit Benefit Reserves Notations / 6.9.1：
Relations Among Reserves Calculations / 6.9.2：
Survivorship Group Approach to Reserve Calculations / 6.9.3：
General Time Period Models / 6.10：
General Period Expectations / 6.10.1：
Relations Among General Period Expectations / 6.10.2：
Multiple Decrement Computations / 6.11：
Pension Plans / 6.12：
Multiple Decrement Benefits / 6.12.1：
Pension Contributions / 6.12.2：
Future Salary Based Benefits and Contributions / 6.12.3：
Yearly Based Retirement Benefits / 6.12.4：
Models Including Expenses / 6.13：
Scenario and Simulation Testing / 7：
Fixed Rate Deterministic Status Models / 7.1：
Simulation Methods / 7.2：
Bootstrap Resampling / 7.2.1：
Simulation Sampling / 7.2.2：
Simulation Inference on Deterministic Status Models / 7.3：
Simulation Inference on Collective Aggregate Models / 7.4：
Simulation Inference on Stochastic Status Models / 7.5：
Investment Pricing Models / 7.5.1：
Stochastic Surplus Models / 7.5.2：
Further Directions in Resampling / 7.6：
Further Statistical Considerations / 8：
Statistical Investigations / 8.1：
Mortality Adjustment Factors / 8.2：
Linear Acceleration Factors / 8.2.1：
Mean Acceleration Factors / 8.2.2：
Survival Acceleration Factors / 8.2.3：
Mortality Trend Modeling / 8.3：
Standard Normal Tables / Appendix：
References
Index
Preface
Statistical Concepts / 1：
Probability / 1.1：
21.

図書
図書
21. Modern cosmology
Scott Dodelson
出版情報: San Diego, Calif. ; London ; Tokyo : Academic Press, c2003  xiii, 440 p., [4] p. of plates ; 25 cm
所蔵情報: loading…
目次情報: 続きを見る
The Standard Model and Beyond / 1：
The Expanding Universe / 1.1：
The Hubble Diagram / 1.2：
Big Bang Nucleosynthesis / 1.3：
The Cosmic Microwave Background / 1.4：
Beyond the Standard Model / 1.5：
Summary / 1.6：
Exercises
The Smooth, Expanding Universe / 2：
General Relativity / 2.1：
The Metric / 2.1.1：
The Geodesic Equation / 2.1.2：
Einstein Equations / 2.1.3：
Distances / 2.2：
Evolution of Energy / 2.3：
Cosmic Inventory / 2.4：
Photons / 2.4.1：
Baryons / 2.4.2：
Matter / 2.4.3：
Neutrinos / 2.4.4：
Dark Energy / 2.4.5：
Epoch of Matter-Radiation Equality / 2.4.6：
Beyond Equilibrium / 2.5：
Boltzmann Equation for Annihilation / 3.1：
Neutron Abundance / 3.2：
Light Element Abundances / 3.2.2：
Recombination / 3.3：
Dark Matter / 3.4：
The Boltzmann Equations / 3.5：
The Boltzmann Equation for the Harmonic Oscillator / 4.1：
The Collisionless Boltzmann Equation for Photons / 4.2：
Zero-Order Equation / 4.2.1：
First-Order Equation / 4.2.2：
Collision Terms: Compton Scattering / 4.3：
The Boltzmann Equation for Photons / 4.4：
The Boltzmann Equation for Cold Dark Matter / 4.5：
The Boltzmann Equation for Baryons / 4.6：
The Perturbed Ricci Tensor and Scalar / 4.7：
Christoffel Symbols / 5.1.1：
Ricci Tensor / 5.1.2：
Two Components of the Einstein Equations / 5.2：
Tensor Perturbations / 5.3：
Christoffel Symbols for Tensor Perturbations / 5.3.1：
Ricci Tensor for Tensor Perturbations / 5.3.2：
Einstein Equations for Tensor Perturbations / 5.3.3：
The Decomposition Theorem / 5.4：
From Gauge to Gauge / 5.5：
Initial Conditions / 5.6：
The Einstein-Boltzmann Equations at Early Times / 6.1：
The Horizon / 6.2：
Inflation / 6.3：
A Solution to the Horizon Problem / 6.3.1：
Negative Pressure / 6.3.2：
Implementation with a Scalar Field / 6.3.3：
Gravity Wave Production / 6.4：
Quantizing the Harmonic Oscillator / 6.4.1：
Scalar Perturbations / 6.4.2：
Scalar Field Perturbations around a Smooth Background / 6.5.1：
Super-Horizon Perturbations / 6.5.2：
Spatially Flat Slicing / 6.5.3：
Summary and Spectral Indices / 6.6：
Inhomogeneities / 7：
Prelude / 7.1：
Three Stages of Evolution / 7.1.1：
Method / 7.1.2：
Large Scales / 7.2：
Super-horizon Solution / 7.2.1：
Through Horizon Crossing / 7.2.2：
Small Scales / 7.3：
Horizon Crossing / 7.3.1：
Sub-horizon Evolution / 7.3.2：
Numerical Results and Fits / 7.4：
Growth Function / 7.5：
Beyond Cold Dark Matter / 7.6：
Massive Neutrinos / 7.6.1：
Anisotropies / 7.6.3：
Overview / 8.1：
Large-Scale Anisotropies / 8.2：
Acoustic Oscillations / 8.3：
Tightly Coupled Limit of the Boltzmann Equations / 8.3.1：
Tightly Coupled Solutions / 8.3.2：
Diffusion Damping / 8.4：
Inhomogeneities to Anisotropies / 8.5：
Free Streaming / 8.5.1：
The C[subscript l]'s / 8.5.2：
The Anisotropy Spectrum Today / 8.6：
Sachs-Wolfe Effect / 8.6.1：
Cosmological Parameters / 8.6.2：
Curvature / 8.7.1：
Degenerate Parameters / 8.7.2：
Distinct Imprints / 8.7.3：
Probes of Inhomogeneities / 9：
Angular Correlations / 9.1：
Peculiar Velocities / 9.2：
Direct Measurements of Peculiar Velocities / 9.3：
Redshift Space Distortions / 9.4：
Galaxy Clusters / 9.5：
Weak Lensing and Polarization / 10：
Gravitational Distortion of Images / 10.1：
Geodesics and Shear / 10.2：
Ellipticity as an Estimator of Shear / 10.3：
Weak Lensing Power Spectrum / 10.4：
Polarization: The Quadrupole and the Q/U Decomposition / 10.5：
Polarization from a Single Plane Wave / 10.6：
Boltzmann Solution / 10.7：
Polarization Power Spectra / 10.8：
Detecting Gravity Waves / 10.9：
Analysis / 11：
The Likelihood Function / 11.1：
Simple Example / 11.1.1：
CMB Likelihood / 11.1.2：
Galaxy Surveys / 11.1.3：
Signal Covariance Matrix / 11.2：
CMB Window Functions / 11.2.1：
Examples of CMB Window Functions / 11.2.2：
Window Functions for Galaxy Surveys / 11.2.3：
Estimating the Likelihood Function / 11.2.4：
Karhunen-Loeve Techniques / 11.3.1：
Optimal Quadratic Estimator / 11.3.2：
The Fisher Matrix: Limits and Applications / 11.4：
CMB / 11.4.1：
Forecasting / 11.4.2：
Mapmaking and Inversion / 11.5：
Systematics / 11.6：
Foregrounds / 11.6.1：
Mode Subtraction / 11.6.2：
Solutions to Selected Problems / A：
Numbers / B：
Physical Constants / B.1：
Cosmological Constants / B.2：
Special Functions / C：
Legendre Polynomials / C.1：
Spherical Harmonics / C.2：
Spherical Bessel Functions / C.3：
Fourier Transforms / C.4：
Miscellaneous / C.5：
The Standard Model and Beyond / 1：
The Expanding Universe / 1.1：
The Hubble Diagram / 1.2：
22.

図書
図書
22. Liquid crystal elastomers
M. Warner and E. M. Terentjev
出版情報: Oxford : Oxford University Press, c2003  xiv, 407 p. ; 24 cm
シリーズ名: The international series of monographs on physics ; 120
所蔵情報: loading…
目次情報: 続きを見る
A bird's eye view of liquid crystal elastomers / 1：
Liquid crystals / 2：
Ordering of rod and disc fluids / 2.1：
Nematic order / 2.2：
Free energy and phase transitions of nematics / 2.3：
Molecular theory of nematics / 2.4：
Distortions of nematic order / 2.5：
Transitions driven by external fields / 2.6：
Anisotropic viscosity and dissipation / 2.7：
Cholesteric liquid crystals / 2.8：
Smectic liquid crystals / 2.9：
Polymers, elastomers and rubber elasticity / 3：
Configurations of polymers / 3.1：
Liquid crystalline polymers / 3.2：
Shape of liquid crystalline polymers / 3.2.1：
Frank elasticity of nematic polymers / 3.2.2：
Classical rubber elasticity / 3.3：
Manipulating the elastic response of rubber / 3.4：
Finite extensibility and entanglements in elastomers / 3.5：
Classical elasticity / 4：
Deformation tensor and Cauchy-Green strain / 4.1：
Non-linear and linear elasticity / 4.2：
Geometry of deformations and rotations / 4.3：
Rotations / 4.3.1：
Shears and their decomposition / 4.3.2：
Square roots and polar decomposition of tensors / 4.3.3：
Compressibility of rubbery networks / 4.4：
Nematic elastomers / 5：
Structure and examples of nematic elastomers / 5.1：
Stress-optical coupling / 5.2：
Polydomain textures and alignment by stress / 5.3：
Monodomain 'single-crystal' nematic elastomers / 5.4：
Spontaneous shape changes / 5.4.1：
Nematic photoelastomers / 5.4.2：
Field-induced director rotation / 5.5：
Applications of liquid crystalline elastomers / 5.6：
Nematic rubber elasticity / 6：
Neo-classical theory / 6.1：
Spontaneous distortions / 6.2：
Equilibrium shape of nematic elastomers[Dagger] / 6.3：
Photo-mechanical effects / 6.4：
Thermal phase transitions / 6.5：
Effect of strain on nematic order / 6.6：
Mechanical and nematic instabilities / 6.7：
Mechanical Freedericks transition / 6.7.1：
The elastic low road / 6.7.2：
Finite extensibility and entanglements / 6.8：
Soft elasticity / 7：
Director anchoring to the bulk / 7.1：
Director rotation without strain / 7.1.1：
Coupling of rotations to pure shear / 7.1.2：
Soft modes of deformation / 7.2：
Principal symmetric strains and body rotations / 7.2.2：
Forms of the free energy allowing softness / 7.2.3：
Optimal deformations / 7.3：
A practical method of calculating deformations / 7.3.1：
Stretching perpendicular to the director / 7.3.2：
Semi-soft elasticity / 7.4：
Example: random copolymer networks / 7.4.1：
A practical geometry of semi-soft deformation / 7.4.2：
Experiments on long, semi-soft strips / 7.4.3：
Unconstrained elastomers in external fields / 7.4.4：
Semi-soft free energy and stress / 7.5：
Thermomechanical history and general semi-softness / 7.6：
Thermomechanical history dependence / 7.6.1：
Forms of the free energy violating softness / 7.6.2：
Distortions of nematic elastomers / 8：
Freedericks transitions in nematic elastomers / 8.1：
Strain-induced microstracture: stripe domains / 8.2：
General distortions of nematic elastomers / 8.3：
One-dimensional quasi-convexification / 8.3.1：
Full quasi-convexification / 8.3.2：
Numerical and experimental studies / 8.3.3：
Random disorder in nematic networks / 8.4：
Nematic ordering with quenched disorder / 8.4.1：
Characteristic domain size / 8.4.2：
Polydomain-monodomain transition / 8.4.3：
Cholesteric elastomers / 9：
Cholesteric networks / 9.1：
Intrinsically chiral networks / 9.1.1：
Chirally imprinted networks / 9.1.2：
Mechanical deformations / 9.2：
Uniaxial transverse elongation / 9.2.1：
Stretching along the pitch axis / 9.2.2：
Piezoelectricity of cholesteric elastomers / 9.3：
Imprinted cholesteric elastomers / 9.4：
Photonics of cholesteric elastomers / 9.5：
Photonics of liquid cholesterics / 9.5.1：
Photonics of elastomers / 9.5.2：
Experimental observations / 9.5.3：
Lasing in cholesterics / 9.5.4：
Continuum description of nematic elastomers / 10：
From molecular theory to continuum elasticity / 10.1：
Compressibility effects / 10.1.1：
The limit of linear elasticity / 10.1.2：
The role of nematic anisotropy / 10.1.3：
Phenomenological theory for small deformations / 10.2：
Strain-induced rotation / 10.3：
Symmetry arguments / 10.4：
The mechanism of soft deformation / 10.4.2：
Continuum representation of semi-softness / 10.5：
Unconstrained director fluctuations / 10.6：
Unconstrained phonons / 10.7：
Light scattering from director fluctuations / 10.8：
Dynamics of liquid crystal elastomers / 11：
Classical rubber dynamics / 11.1：
Rouse model and entanglements / 11.1.1：
Dynamical response of entangled networks / 11.1.2：
Long time stress relaxation / 11.1.3：
Nematohydrodynamics of elastic solids / 11.2：
Viscous coefficients and relaxation times / 11.2.1：
Balance of forces and torques / 11.2.2：
Symmetries and order parameter / 11.2.3：
Response to oscillating strains / 11.3：
Oscillating shear / 11.4：
Steady stress relaxation / 11.4.2：
Smectic elastomers / 12：
Materials and preparation / 12.1：
Smectic A elastomers / 12.1.1：
Smectic C and ferroelectric C elastomers / 12.1.2：
Physical properties of smectic elastomers / 12.2：
Smectic-A elastomers / 12.2.1：
Smectic-C elastomers / 12.2.2：
A molecular model of Smectic-A rubber elasticity / 12.3：
The geometry of affine layer deformations / 12.3.1：
Response to principal deformations / 12.3.2：
General deformations of a SmA elastomer / 12.3.3：
Instability and CMHH microstructure / 12.4：
Comparison with experiment / 12.5：
Smectic-C rubber elasticity / 12.6：
SmC soft deformations / 12.6.1：
SmC deformations with microstructure / 12.6.2：
Continuum description of smectic elastomers / 13：
Continuum description of smectic A elastomers / 13.1：
Relative translations in smectic networks revisited / 13.1.1：
Nematic -strain, -rotation and -smectic couplings / 13.1.2：
Effective smectic elasticity of elastomers / 13.2：
Effective rubber elasticity of smectic elastomers / 13.3：
Layer elasticity and fluctuations in smectic A elastomers / 13.4：
Layer buckling instabilities: the CMHH effect / 13.5：
Quenched layer disorder and the N-A phase transition / 13.6：
References / 13.7：
Index
Author Index
Online Appendices: (www.lcelastomer.org.uk)
Nematic order in elastomers under strain / A：
Biaxial soft elasticity / B：
Stripe microstructure / C：
Couple-stress and Cosserat elasticity / D：
Expansion at small deformations and rotations / E：
Smectic C soft elasticity / F：
A bird's eye view of liquid crystal elastomers / 1：
Liquid crystals / 2：
Ordering of rod and disc fluids / 2.1：
23.

図書
図書
23. Partial difference equations
Sui Sun Cheng
出版情報: London : Taylor & Francis, 2003  xii, 267 p. ; 24 cm
シリーズ名: Advances in Discrete Mathematics and Applications ; 3
所蔵情報: loading…
目次情報: 続きを見る
Series Editors' Preface
Preface
Modelling / 1：
Introduction / 1.1：
Examples / 1.2：
Discrete Heat Equations / 1.2.1：
Two-Level Equations / 1.2.2：
Multi-Level Equations / 1.2.3：
Implicit Reaction Diffusion Equations / 1.2.4：
Discrete Time Independent Equations / 1.2.5：
Auxiliary Conditions / 1.3：
Notes and Remarks / 1.4：
Basic Tools / 2：
Subsets of the Lattice Plane / 2.1：
Classifications of Partial Difference Equations / 2.2：
Finite Differences / 2.3：
Summable Infinite Sequences / 2.4：
Convolution of Doubly Infinite Sequences / 2.5：
Frequency Measures / 2.6：
Useful Results For Matrices / 2.7：
Discrete Gronwall Inequalities / 2.8：
Miscellaneous / 2.9：
Symbolic Calculus / 2.10：
Semi-Infinite Univariate Sequences / 3.1：
Ring of Sequences / 3.2.1：
Operators / 3.2.2：
Summation Operators / 3.2.3：
Translation or Shift Operators / 3.2.4：
Rational Operators / 3.2.5：
Attenuation Operators / 3.2.6：
Sequences and Series of Operators / 3.2.7：
Algebraic Derivatives / 3.2.8：
Algebraic Integrals / 3.2.9：
Ordinary Difference Equations / 3.2.10：
Semi-Infinite Bivariate Sequences / 3.3：
Ring of Double Sequences / 3.3.1：
Separable Double Sequences / 3.3.2：
Basic Relations Between Operators / 3.3.4：
Monotonicity and Convexity / 3.3.5：
Univariate Maximum Principles / 4.1：
Bivariate Maximum Principles / 4.3：
Univariate Wirtinger's Inequalities / 4.4：
Bivariate Wirtinger's Inequalities / 4.5：
Explicit Solutions / 4.6：
Formal Methods / 5.1：
The Method of Translation / 5.3：
The Method of Operators / 5.4：
The Method of Separable Solutions / 5.5：
The Method of Convolution / 5.6：
Two-Level Equations over the Upper Half Lattice Plane / 5.6.1：
Three-Level Equations over the Upper Half Lattice Plane / 5.6.2：
Method of Linear Systems / 5.7：
Stability / 5.8：
Stability Concepts / 6.1：
Equations Over Cylinders / 6.2：
Method of General Solutions / 6.2.1：
Method of Maximum Principles / 6.2.2：
Method of Energies / 6.2.3：
Method of Functional Inequalities / 6.2.4：
Spectral Methods / 6.2.5：
Method of Separable Solutions / 6.2.6：
Equations Over Half Planes / 6.3：
Method of Exact Solutions for Two-Level Equations / 6.3.1：
Method of Exact Solutions for Three-Level Equations / 6.3.2：
Method of Induction for Three-Level Equations / 6.3.3：
Equations Over Quadrants / 6.4：
Method of Exact Solutions for a Two-Level Equation / 6.4.1：
Method of Induction for a Two-Level Nonhomogeneous Equation / 6.4.2：
Method of Induction for a Four-Point Equation / 6.4.3：
Method of Induction for a Four-Point Delay Equation / 6.4.4：
Method of Induction for a Five-Point Delay Equation / 6.4.5：
Equations Over Finite Domains / 6.5：
Existence / 6.6：
Traveling Waves / 7.1：
Positive and Bounded Solutions / 7.3：
Monotone Method for a Finite Laplace Equation / 7.4：
Contraction Method for a Finite Laplace Equation / 7.5：
Monotone Method for Evolutionary Equations / 7.6：
Eigenvalue Method for a Boundary Problem / 7.7：
Contraction Method for a Boundary Problem / 7.8：
Monotone Method for Boundary Problems / 7.9：
Nonexistence / 7.10：
Equations Over The Plane / 8.1：
Three-Point Equations with Two Constant Coefficients / 8.3：
Four-Point Equations with Three Constant Coefficients / 8.3.2：
Characteristic Initial Value Problems / 8.3.3：
Delay Partial Difference Equations / 8.3.4：
Frequently Positive Solutions / 8.3.5：
Linear Discrete Heat Equation With Constant Coefficients / 8.4：
Parabolic Type Equations with Variable Coefficients / 8.4.2：
Discrete Elliptic Equations / 8.4.3：
Initial Boundary Value Problems / 8.4.4：
Linear Hybrid Five-Point Equations / 8.4.5：
Bibliography / 8.5：
Index
Series Editors' Preface
Preface
Modelling / 1：
24.

図書
図書
24. Low-power CMOS design for wireless transceivers
Alireza Zolfaghari
出版情報: Boston : Kluwer Academic Publishers, c2003  xvi, 106 p. ; 24 cm.
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1.：
Wireless Networks / 1.1：
GPS / 1.2：
Overview of Topics / 1.3：
Transceiver Architecture / 2.：
Receiver Architectures / 2.1：
Heterodyne Receivers / 2.2.1：
Homodyne Receivers / 2.2.2：
Image-Reject Receivers / 2.2.3：
Transmitter Architectures / 2.3：
Direct-Conversion Transmitters / 2.3.1：
Two-Step Transmitters / 2.3.2：
Proposed Transceiver Architecture / 2.4：
Compatibility with GPS / 2.5：
Stacked Inductors and Transformers / 3.：
Definitions of the Quality Factor / 3.1：
Large inductors with high self-resonance frequencies / 3.3：
Derivation of Self-Resonance Frequency / 3.4：
Modification of Stacked Inductors / 3.5：
Stacked Transformers / 3.6：
Experimental Results / 3.7：
Receiver Front End / 4.：
Low-Noise Amplifier / 4.1：
RF Mixers / 4.3：
First Downconversion / 4.4：
Second Downconversion / 4.5：
Divide-by-Two Circuit / 4.5.1：
Passive Mixers / 4.5.2：
Transmitter / 5.：
First Upconversion / 5.1：
Second Upconversion / 5.3：
Power Amplifier / 5.4：
Channel-Select Filter / 6.：
Noninvasive Filtering / 6.1：
General Idea / 6.2.1：
Noise Performance / 6.2.2：
Filter Tuning / 6.2.3：
Filter Design / 6.3：
Bluetooth Signal / 6.3.1：
Single-Tone Interferers / 6.3.2：
Intermodulation Specification / 6.3.3：
Order of Filter / 6.3.4：
Filter Realization / 6.4：
Transconductor Stage / 6.4.1：
Input Transconductor and Parallel Resistor / 6.4.2：
Capacitors / 6.4.3：
Test Setup / 6.4.4：
Equipment / 7.2.1：
Test Board / 7.2.2：
Noise Figure Measurements at Low Frequencies / 7.2.3：
First Prototype: RF Front-End Chip / 7.3：
Second Prototype: Transmitter/Receiver Chip / 7.4：
Conclusion / 8.：
References
Introduction / 1.：
Wireless Networks / 1.1：
GPS / 1.2：
25.

図書
図書
25. Adaptive control design and analysis
Gang Tao
出版情報: Hoboken, N.J. : J. Wiley, c2003  xx, 618 p. ; 25 cm
シリーズ名: Adaptive and learning systems for signal processing, communications, and control
所蔵情報: loading…
目次情報: 続きを見る
Preface
Introduction / 1：
Feedback in Control Systems / 1.1：
System Modeling / 1.2：
Continuous-Time Systems / 1.2.1：
Discrete-Time Systems / 1.2.2：
Feedback Control / 1.3：
Adaptive Control System Prototypes / 1.4：
Simple Adaptive Control Systems / 1.5：
Direct Adaptive Control / 1.5.1：
Indirect Adaptive Control / 1.5.2：
Discrete-Time Designs / 1.5.3：
Backstepping Nonlinear Design / 1.5.4：
Adaptive Control versus Fixed Control / 1.5.5：
Summary / 1.5.6：
Problems
Systems Theory / 2：
Dynamic System Models / 2.1：
Nonlinear Systems / 2.1.1：
Linear Systems / 2.1.2：
System Characterizations / 2.2：
Signal Measures / 2.3：
Vector and Matrix Norms / 2.3.1：
Signal Norms / 2.3.2：
Lyapunov Stability / 2.4：
Stability Definitions / 2.4.1：
Positive Definite Functions / 2.4.2：
Lyapunov Direct Method / 2.4.3：
Lyapunov Indirect Method / 2.4.4：
Input-Output Stability / 2.5：
Bellman-Gronwall Lemma / 2.5.1：
Small-Gain Lemma / 2.5.2：
Operator Stability / 2.5.3：
Strictly Positive Real Systems / 2.5.4：
Signal Convergence Lemmas / 2.6：
Norms and Signal Spaces / 2.7：
Stability / 2.7.3：
Operator Norms / 2.8：
Pole Placement / 2.9：
Adaptive Parameter Estimation / 3：
A Parametrized System Model / 3.1：
Linear Parametric Models / 3.2：
Normalized Gradient Algorithm / 3.3：
Normalized Least-Squares Algorithm / 3.4：
Parameter Convergence / 3.5：
Persistency of Excitation / 3.5.1：
Convergence of the Gradient Algorithm / 3.5.2：
Convergence of the Least-Squares Algorithm / 3.5.3：
Discrete-Time Algorithms / 3.6：
Robustness of Adaptive Algorithms / 3.6.1：
Continuous-Time Algorithms / 3.7.1：
Robust Adaptive Laws / 3.7.2：
Discussion / 3.8.1：
Adaptive State Feedback Control / 4：
Design for State Tracking / 4.1：
Design Example / 4.1.1：
Control System Structure / 4.1.2：
Adaptive Laws / 4.1.3：
Adaptive System Properties / 4.1.4：
Design for Output Tracking / 4.2：
Introductory Example / 4.2.1：
Disturbance Rejection / 4.2.2：
State Tracking / 4.3.1：
Output Tracking / 4.3.2：
Parametrization of State Feedback / 4.4：
Parametrization with Full-Order Observer / 4.4.1：
Parametrization with Reduced-Order Observer / 4.4.2：
Discrete-Time Adaptive Control / 4.5：
Output Tracking Design / 4.5.1：
Parametrizations of State Feedback / 4.5.3：
Continuous-Time Model Reference Adaptive Control / 5：
Model Reference Control / 5.1：
Adaptive Control / 5.3：
Tracking Error Equation / 5.3.1：
Lyapunov Design for Relative Degree 1 / 5.3.2：
Alternative Design for Relative Degree 1 / 5.3.3：
Lyapunov Design for Arbitrary Relative Degrees / 5.3.4：
Gradient Design for Arbitrary Relative Degrees / 5.3.5：
Robustness of MRAC / 5.3.6：
Lyapunov Designs for Relative Degree 1 / 5.4.1：
Gradient Algorithms / 5.4.2：
Robust MRAC / 5.5：
Modeling Errors / 5.5.1：
Robustness of MRC / 5.5.2：
Robust Stability Analysis / 5.5.3：
Design for Unknown High Frequency Gain / 5.5.5：
Adaptive Control Designs Using Nussbaum Gain / 5.6.1：
An Adaptive Control System / 5.6.2：
Discrete-Time Model Reference Adaptive Control / 5.7：
Adaptive Control Systems / 6.1：
Adaptive Control for Disturbance d(t) = 0 / 6.3.1：
Robustness of MRAC with d(t) [set membership] L[superscript 2] / 6.3.2：
Robust Adaptation for Bounded d(t) / 6.3.3：
Robustness of MRAC with L[superscript 1+ alpha] Errors / 6.4：
Plant with Modeling Errors / 6.4.1：
Adaptive Control Scheme / 6.4.2：
Robustness Analysis / 6.4.3：
Model Reference Designs / 6.4.4：
General Design Procedure / 7.1.1：
Pole Placement Designs / 7.2：
Pole Placement Control / 7.2.1：
Controller Parameter Adaptation / 7.2.3：
Discrete-Time Adaptive Control Systems / 7.3：
A Comparison Study / 7.3.1：
Benchmark Example / 8.1：
Direct Adaptive Control Designs / 8.2：
State Feedback Design / 8.2.1：
Output Feedback Design / 8.2.2：
Indirect Adaptive Control Design / 8.3：
Direct-Indirect Adaptive Control Design / 8.4：
Direct Adaptive Control for Motor Dynamics / 8.4.1：
Indirect Adaptive Control for Load Dynamics / 8.4.2：
Simulation Results / 8.4.3：
Adaptive Backstepping Design / 8.5：
Multivariable Adaptive Control / 9：
Design Based on LDU Parametrization / 9.1：
System Identification / 9.1.3：
Model Reference Adaptive Control / 9.2：
Description of Multivariable Systems / 9.2.1：
Plant and Controller Parametrizations / 9.2.2：
Robust Model Reference Control / 9.2.3：
Error Model / 9.2.4：
Stability and Robustness Analysis / 9.2.5：
MRAC Using Right Interactor Matrices / 9.2.7：
Continuous-Time Lyapunov Designs / 9.2.8：
MRAC Designs for Input and Output Delays / 9.2.9：
Adaptation and High Frequency Gain Matrix / 9.2.10：
Designs Based on Decompositions of K[subscript p] / 9.2.11：
Adaptive Backstepping Control / 9.3：
Plant Parametrization / 9.3.1：
State Observer / 9.3.2：
Design Procedure for B[subscript m] Nonsingular / 9.3.3：
Design Based on SDU Decomposition of B[subscript m] / 9.3.4：
Design Procedure for B[subscript m] Singular / 9.3.5：
Adaptive Control of Robotic Systems / 9.4：
Robotic System Modeling / 9.4.1：
Illustrative Example / 9.4.2：
Design for Parameter Variations / 9.4.3：
Design for Unmodeled Dynamics / 9.4.4：
Adaptive Control of Systems with Nonlinearities / 9.5：
Actuator Nonlinearity Compensation / 10.1：
Actuator Nonlinearities / 10.1.1：
Parametrized Nonlinearity Inverses / 10.1.2：
State Feedback Inverse Control / 10.2：
Output Feedback Inverse Control / 10.3：
Designs for Multivariable Systems / 10.4：
Designs for Unknown Linear Dynamics / 10.5：
Designs for SISO Plants / 10.5.1：
Designs for MIMO Plants / 10.5.2：
Designs for Nonlinear Dynamics / 10.6：
Design for Feedback Linearizable Systems / 10.6.1：
Design for Parametric-Strict-Feedback Systems / 10.6.2：
Design for Output-Feedback Systems / 10.6.3：
Bibliography / 10.7：
Index
Preface
Introduction / 1：
Feedback in Control Systems / 1.1：
26.

図書
図書
26. Data analysis and graphics using R : an example-based approach
John Maindonald and John Braun
出版情報: Cambridge, UK : Cambridge University Press, 2003  xxiii, 362 p., [4] p. of plates ; 26 cm
シリーズ名: Cambridge series on statistical and probabilistic mathematics
所蔵情報: loading…
目次情報: 続きを見る
Preface
A Chapter by Chapter Summary
A Brief Introduction to R / 1：
A Short R Session / 1.1：
R must be installed! / 1.1.1：
Using the console (or command line) window / 1.1.2：
Reading data from a file / 1.1.3：
Entry of data at the command line / 1.1.4：
Online help / 1.1.5：
Quitting R / 1.1.6：
The Uses of R / 1.2：
The R Language / 1.3：
R objects / 1.3.1：
Retaining objects between sessions / 1.3.2：
Vectors in R / 1.4：
Concatenation--joining vector objects / 1.4.1：
Subsets of vectors / 1.4.2：
Patterned data / 1.4.3：
Missing values / 1.4.4：
Factors / 1.4.5：
Data Frames / 1.5：
Variable names / 1.5.1：
Applying a function to the columns of a data frame / 1.5.2：
Data frames and matrices / 1.5.3：
Identification of rows that include missing values / 1.5.4：
R Packages / 1.6：
Data sets that accompany R packages / 1.6.1：
Looping / 1.7：
R Graphics / 1.8：
The function plot () and allied functions / 1.8.1：
Identification and location on the figure region / 1.8.2：
Plotting mathematical symbols / 1.8.3：
Row by column layouts of plots / 1.8.4：
Graphs--additional notes / 1.8.5：
Additional Points on the Use of R in This Book / 1.9：
Further Reading / 1.10：
Exercises / 1.11：
Styles of Data Analysis / 2：
Revealing Views of the Data / 2.1：
Views of a single sample / 2.1.1：
Patterns in grouped data / 2.1.2：
Patterns in bivariate data--the scatterplot / 2.1.3：
Multiple variables and times / 2.1.4：
Lattice (trellis style) graphics / 2.1.5：
What to look for in plots / 2.1.6：
Data Summary / 2.2：
Mean and median / 2.2.1：
Standard deviation and inter-quartile range / 2.2.2：
Correlation / 2.2.3：
Statistical Analysis Strategies / 2.3：
Helpful and unhelpful questions / 2.3.1：
Planning the formal analysis / 2.3.2：
Changes to the intended plan of analysis / 2.3.3：
Recap / 2.4：
Statistical Models / 2.5：
Regularities / 3.1：
Mathematical models / 3.1.1：
Models that include a random component / 3.1.2：
Smooth and rough / 3.1.3：
The construction and use of models / 3.1.4：
Model formulae / 3.1.5：
Distributions: Models for the Random Component / 3.2：
Discrete distributions / 3.2.1：
Continuous distributions / 3.2.2：
The Uses of Random Numbers / 3.3：
Simulation / 3.3.1：
Sampling from populations / 3.3.2：
Model Assumptions / 3.4：
Random sampling assumptions--independence / 3.4.1：
Checks for normality / 3.4.2：
Checking other model assumptions / 3.4.3：
Are non-parametric methods the answer? / 3.4.4：
Why models matter--adding across contingency tables / 3.4.5：
An Introduction to Formal Inference / 3.5：
Standard Errors / 4.1：
Population parameters and sample statistics / 4.1.1：
Assessing accuracy--the standard error / 4.1.2：
Standard errors for differences of means / 4.1.3：
The standard error of the median / 4.1.4：
Resampling to estimate standard errors: bootstrapping / 4.1.5：
Calculations Involving Standard Errors: the t-Distribution / 4.2：
Confidence Intervals and Hypothesis Tests / 4.3：
One- and two-sample intervals and tests for means / 4.3.1：
Confidence intervals and tests for proportions / 4.3.2：
Confidence intervals for the correlation / 4.3.3：
Contingency Tables / 4.4：
Rare and endangered plant species / 4.4.1：
Additional notes / 4.4.2：
One-Way Unstructured Comparisons / 4.5：
Displaying means for the one-way layout / 4.5.1：
Multiple comparisons / 4.5.2：
Data with a two-way structure / 4.5.3：
Presentation issues / 4.5.4：
Response Curves / 4.6：
Data with a Nested Variation Structure / 4.7：
Degrees of freedom considerations / 4.7.1：
General multi-way analysis of variance designs / 4.7.2：
Resampling Methods for Tests and Confidence Intervals / 4.8：
The one-sample permutation test / 4.8.1：
The two-sample permutation test / 4.8.2：
Bootstrap estimates of confidence intervals / 4.8.3：
Further Comments on Formal Inference / 4.9：
Confidence intervals versus hypothesis tests / 4.9.1：
If there is strong prior information, use it! / 4.9.2：
Regression with a Single Predictor / 4.10：
Fitting a Line to Data / 5.1：
Lawn roller example / 5.1.1：
Calculating fitted values and residuals / 5.1.2：
Residual plots / 5.1.3：
The analysis of variance table / 5.1.4：
Outliers, Influence and Robust Regression / 5.2：
Standard Errors and Confidence Intervals / 5.3：
Confidence intervals and tests for the slope / 5.3.1：
SEs and confidence intervals for predicted values / 5.3.2：
Implications for design / 5.3.3：
Regression versus Qualitative ANOVA Comparisons / 5.4：
Assessing Predictive Accuracy / 5.5：
Training/test sets, and cross-validation / 5.5.1：
Cross-validation--an example / 5.5.2：
Bootstrapping / 5.5.3：
A Note on Power Transformations / 5.6：
Size and Shape Data / 5.7：
Allometric growth / 5.7.1：
There are two regression lines! / 5.7.2：
The Model Matrix in Regression / 5.8：
Methodological References / 5.9：
Multiple Linear Regression / 5.11：
Basic Ideas: Book Weight and Brain Weight Examples / 6.1：
Omission of the intercept term / 6.1.1：
Diagnostic plots / 6.1.2：
Further investigation of influential points / 6.1.3：
Example: brain weight / 6.1.4：
Multiple Regression Assumptions and Diagnostics / 6.2：
Influential outliers and Cook's distance / 6.2.1：
Component plus residual plots / 6.2.2：
Further types of diagnostic plot / 6.2.3：
Robust and resistant methods / 6.2.4：
A Strategy for Fitting Multiple Regression Models / 6.3：
Preliminaries / 6.3.1：
Model fitting / 6.3.2：
An example--the Scottish hill race data / 6.3.3：
Measures for the Comparison of Regression Models / 6.4：
R[superscript 2] and adjusted R[superscript 2] / 6.4.1：
AIC and related statistics / 6.4.2：
How accurately does the equation predict? / 6.4.3：
An external assessment of predictive accuracy / 6.4.4：
Interpreting Regression Coefficients--the Labor Training Data / 6.5：
Problems with Many Explanatory Variables / 6.6：
Variable selection issues / 6.6.1：
Principal components summaries / 6.6.2：
Multicollinearity / 6.7：
A contrived example / 6.7.1：
The variance inflation factor (VIF) / 6.7.2：
Remedying multicollinearity / 6.7.3：
Multiple Regression Models--Additional Points / 6.8：
Confusion between explanatory and dependent variables / 6.8.1：
Missing explanatory variables / 6.8.2：
The use of transformations / 6.8.3：
Non-linear methods--an alternative to transformation? / 6.8.4：
Exploiting the Linear Model Framework / 6.9：
Levels of a Factor--Using Indicator Variables / 7.1：
Example--sugar weight / 7.1.1：
Different choices for the model matrix when there are factors / 7.1.2：
Polynomial Regression / 7.2：
Issues in the choice of model / 7.2.1：
Fitting Multiple Lines / 7.3：
Methods for Passing Smooth Curves through Data / 7.4：
Scatterplot smoothing--regression splines / 7.4.1：
Other smoothing methods / 7.4.2：
Generalized additive models / 7.4.3：
Smoothing Terms in Multiple Linear Models / 7.5：
Logistic Regression and Other Generalized Linear Models / 7.6：
Generalized Linear Models / 8.1：
Transformation of the expected value on the left / 8.1.1：
Noise terms need not be normal / 8.1.2：
Log odds in contingency tables / 8.1.3：
Logistic regression with a continuous explanatory variable / 8.1.4：
Logistic Multiple Regression / 8.2：
A plot of contributions of explanatory variables / 8.2.1：
Cross-validation estimates of predictive accuracy / 8.2.2：
Logistic Models for Categorical Data--an Example / 8.3：
Poisson and Quasi-Poisson Regression / 8.4：
Data on aberrant crypt foci / 8.4.1：
Moth habitat example / 8.4.2：
Residuals, and estimating the dispersion / 8.4.3：
Ordinal Regression Models / 8.5：
Exploratory analysis / 8.5.1：
Proportional odds logistic regression / 8.5.2：
Other Related Models / 8.6：
Loglinear models / 8.6.1：
Survival analysis / 8.6.2：
Transformations for Count Data / 8.7：
Multi-level Models, Time Series and Repeated Measures / 8.8：
Introduction / 9.1：
Example--Survey Data, with Clustering / 9.2：
Alternative models / 9.2.1：
Instructive, though faulty, analyses / 9.2.2：
Predictive accuracy / 9.2.3：
A Multi-level Experimental Design / 9.3：
The ANOVA table / 9.3.1：
Expected values of mean squares / 9.3.2：
The sums of squares breakdown / 9.3.3：
The variance components / 9.3.4：
The mixed model analysis / 9.3.5：
Different sources of variance--complication or focus of interest? / 9.3.6：
Within and between Subject Effects--an Example / 9.4：
Time Series--Some Basic Ideas / 9.5：
Preliminary graphical explorations / 9.5.1：
The autocorrelation function / 9.5.2：
Autoregressive (AR) models / 9.5.3：
Autoregressive moving average (ARMA) models--theory / 9.5.4：
Regression Modeling with Moving Average Errors--an Example / 9.6：
Repeated Measures in Time--Notes on the Methodology / 9.7：
The theory of repeated measures modeling / 9.7.1：
Correlation structure / 9.7.2：
Different approaches to repeated measures analysis / 9.7.3：
Further Notes on Multi-level Modeling / 9.8：
An historical perspective on multi-level models / 9.8.1：
Meta-analysis / 9.8.2：
Tree-based Classification and Regression / 9.9：
The Uses of Tree-based Methods / 10.1：
Problems for which tree-based regression may be used / 10.1.1：
Tree-based regression versus parametric approaches / 10.1.2：
Summary of pluses and minuses / 10.1.3：
Detecting Email Spam--an Example / 10.2：
Choosing the number of splits / 10.2.1：
Terminology and Methodology / 10.3：
Choosing the split--regression trees / 10.3.1：
Within and between sums of squares / 10.3.2：
Choosing the split--classification trees / 10.3.3：
The mechanics of tree-based regression--a trivial example / 10.3.4：
Assessments of Predictive Accuracy / 10.4：
Cross-validation / 10.4.1：
The training/test set methodology / 10.4.2：
Predicting the future / 10.4.3：
A Strategy for Choosing the Optimal Tree / 10.5：
Cost-complexity pruning / 10.5.1：
Prediction error versus tree size / 10.5.2：
Detecting Email Spam--the Optimal Tree / 10.6：
The one-standard-deviation rule / 10.6.1：
Interpretation and Presentation of the rpart Output / 10.7：
Data for female heart attack patients / 10.7.1：
Printed Information on Each Split / 10.7.2：
Additional Notes / 10.8：
Multivariate Data Exploration and Discrimination / 10.9：
Multivariate Exploratory Data Analysis / 11.1：
Scatterplot matrices / 11.1.1：
Principal components analysis / 11.1.2：
Discriminant Analysis / 11.2：
Example--plant architecture / 11.2.1：
Classical Fisherian discriminant analysis / 11.2.2：
Logistic discriminant analysis / 11.2.3：
An example with more than two groups / 11.2.4：
Principal Component Scores in Regression / 11.3：
Propensity Scores in Regression Comparisons--Labor Training Data / 11.4：
The R System--Additional Topics / 11.5：
Graphs in R / 12.1：
Functions--Some Further Details / 12.2：
Common useful functions / 12.2.1：
User-written R functions / 12.2.2：
Functions for working with dates / 12.2.3：
Data input and output / 12.3：
Input / 12.3.1：
Data output / 12.3.2：
Factors--Additional Comments / 12.4：
Missing Values / 12.5：
Lists and Data Frames / 12.6：
Data frames as lists / 12.6.1：
Reshaping data frames; reshape () / 12.6.2：
Joining data frames and vectors--cbind () / 12.6.3：
Conversion of tables and arrays into data frames / 12.6.4：
Merging data frames--merge () / 12.6.5：
The function sapply () and related functions / 12.6.6：
Splitting vectors and data frames into lists--split () / 12.6.7：
Matrices and Arrays / 12.7：
Outer products / 12.7.1：
Arrays / 12.7.2：
Classes and Methods / 12.8：
Printing and summarizing model objects / 12.8.1：
Extracting information from model objects / 12.8.2：
Data-bases and Environments / 12.9：
Workspace management / 12.9.1：
Function environments, and lazy evaluation / 12.9.2：
Manipulation of Language Constructs / 12.10：
Epilogue--Models / 12.11：
S-PLUS Differences / Appendix：
References
Index of R Symbols and Functions
Index of Terms
Index of Names
Preface
A Chapter by Chapter Summary
A Brief Introduction to R / 1：
27.

図書
図書
27. Near-field microscopy and near-field optics
D. Courjon
出版情報: London : Imperial College Press, c2003  xxi, 317 p ; 24 cm.
所蔵情報: loading…
目次情報: 続きを見る
Preface
How to read this book
History of Near-field Optics / Chapter 1：
Notion of imaging system / 1.1：
Bases of imaging / 1.2：
Vision / 1.2.1：
Image / 1.2.2：
Far-field imaging systems / 1.2.3：
Notion of superresolution / 1.2.4：
Near-field imaging systems / 1.2.5：
History of near-field microscopy / 1.3：
Synge's speculation / 1.3.1：
J. O'Keefe's letter / 1.3.2：
E. Ash and G. Nicholls realization / 1.3.3：
Superresolution in imaging systems / 1.3.4：
Scanning tunnelling microscopy / 1.3.5：
Early optical near-field microscopes / 1.3.6：
Non-radiating Sources & Non-propagating Fields / Chapter 2：
Introduction / 2.1：
A few words of terminology / 2.1.1：
Various non-radiating sources / 2.2：
Non-radiating classical distributions / 2.3：
Non-radiating sources by destructive interference / 2.4：
Extension of the notion of non-radiating source / 2.5：
Evanescent fields / 2.5.1：
Evanescent field generated by total internal reflection / 2.5.2：
Destructive-interference device / 2.5.3：
Resonant evanescent fields / 2.5.4：
Resonant spherical devices / 2.5.5：
Evanescent Optics / Chapter 3：
Theory of Fresnel evanescent waves / 3.1：
Reflection and refraction laws / 3.1.1：
Total internal reflection / 3.1.2：
Energy flow and Poynting vector / 3.1.3：
Goos-Hanchen and transversal shifts / 3.1.4：
Evanescent fields generated by sub-wavelength diffraction / 3.2：
Light beam propagation / 3.3：
A particular case of evanescent waves: the plasmons / 3.4：
Definition of a plasmon / 3.4.1：
Theory / 3.4.2：
Scanning plasmon optical microscopy / 3.4.3：
Theories and Modellings / Chapter 4：
Early works / 4.1：
Recent works / 4.2：
Different ways of approaching the theory of near-field optics / 4.3：
Physical approach / 4.3.1：
Model space / 4.3.2：
Global or non-global approach / 4.3.3：
Tip description / 4.4：
Description in a non-global scheme / 4.4.1：
Description in a global scheme / 4.4.2：
Light-sample interaction / 4.5：
Rigorous grating theory / 4.5.1：
The reciprocal-space perturbative method (RSPM) / 4.5.2：
Direct-space-global approaches / 4.5.3：
Inverse Problem and Apparatus Function / Chapter 5：
Inverse problem solution in band-limited far-field imaging / 5.1：
Inverse propagator and reciprocity theorem / 5.3：
Reciprocity theorem / 5.3.1：
Inverse problem solution in near-field imaging / 5.4：
Apparatus functions / 5.5：
Impulse response / 5.5.1：
Transfer function / 5.5.2：
Criteria of Quality, Noise and Artifacts / Chapter 6：
Degrees of freedom of an optical system / 6.1：
Generalization of Lukosz's approach / 6.1.1：
Far-field case / 6.1.2：
Near-field case / 6.1.3：
Information capacity for noisy coherent signals / 6.1.4：
Noise in optical systems / 6.2：
Optical noises / 6.2.1：
External noises / 6.2.2：
Artifacts / 6.3：
Scanning modes in near-field microscopy / 6.3.1：
Notion of artifact / 6.3.2：
Comparison between the three scanning mode behaviours / 6.4：
Input parameters of the simulation / 6.4.1：
Constant distance mode / 6.4.2：
Constant height mode / 6.4.3：
Constant intensity mode / 6.4.4：
Notion of resolution / 6.5：
Detection / 6.5.1：
Localization / 6.5.2：
Resolution / 6.5.3：
The two-point criterion / 6.5.4：
Other estimates of resolution / 6.5.5：
Optical transfer function OTF / 6.5.6：
OTF in near-field optics / 6.5.7：
Experimental OTF in near-field optics / 6.5.8：
Contrast / 6.5.9：
New criteria of quality / 6.5.10：
Nano-collectors and Nano-emitters / Chapter 7：
Precursors / 7.1：
Near-field collection and emission / 7.2：
Principle / 7.2.1：
Distance of collection/emission / 7.2.2：
Shape of nano-collectors/emitters / 7.2.3：
Various technologies / 7.3：
Bare tapers / 7.4：
Shaping techniques / 7.4.1：
Etching techniques / 7.4.2：
Effect of parameters / 7.4.3：
More sophisticated procedures / 7.4.4：
High aperture angle conical tips / 7.4.5：
Hot stretching techniques / 7.4.6：
Advantages and drawbacks of the two techniques / 7.4.7：
Tapered metal wire and silicon AFM tips / 7.4.8：
Pyramidal tips / 7.4.9：
Coated materials / 7.5：
Flat nano-apertures / 7.5.1：
Tapered nano-apertures / 7.5.2：
Tapered/cleaved fibres / 7.5.3：
Efficiency of tapered metal coated fibres / 7.5.4：
Laser damages / 7.5.5：
Realization of the aperture by other techniques / 7.5.6：
Nano-antenna used as a near-field perturbing system / 7.6：
Variant of tapered fibres / 7.7：
Chemical sensors used as fluorescent tips / 7.8：
Instrumentation / Chapter 8：
Basic structure of near-field optical microscopes / 8.1：
Mechanical part / 8.2：
Translation stage / 8.2.1：
Practical case / 8.2.2：
Techniques for machining the piezo-electric tube / 8.2.3：
Compensation of the thermal drift / 8.2.4：
Connection of the wires on the electrodes / 8.2.5：
Holding of the nano-collector/emitter / 8.3：
Fibre as a nano-collector/emitter / 8.3.1：
Other collector/emitters / 8.3.2：
Anti-vibration devices / 8.4：
Distance control / 8.4.1：
Optical part / 8.5：
Source / 8.5.1：
Detector / 8.5.2：
Usual optical and opto-electronic components / 8.5.3：
Electronic stages / 8.6：
Synchronous detection / 8.6.1：
Distance control: the P.I.D. device / 8.6.2：
Main Near-field Microscope Configurations / Chapter 9：
Transmission microscopes / 9.1：
Reflection microscopy / 9.2：
Tunnelling microscopy / 9.3：
Optical tunnelling microscopy / 9.4：
Plasmon microscopy / 9.5：
Hybrid techniques / 9.6：
Near-field microscopy with shear-force control / 9.6.1：
Contact near-field optical microscopy / 9.6.2：
Near-field Image Processing / Chapter 10：
Generalities / 10.1：
Linear distortions / 10.1.1：
Non-linear distortions / 10.1.2：
Correction of distortions / 10.2：
Correction of linear distortions / 10.2.1：
Correction of non-linear distortions / 10.2.2：
Correction of tip-sample sticking / 10.2.3：
Filtering process / 10.3：
Direct or local filtering / 10.3.1：
Fourier or reciprocal filtering / 10.3.2：
Karhunen-Loeve transform and information extraction / 10.4：
Applications of Near-field Microscopy / Chapter 11：
First attempts: topography measurements / 11.1：
Local index variation measurement / 11.1.2：
Light trapping / 11.2：
Concept of nano-optics / 11.3：
A simple case: the frustrated reflection by a sphere or a tip / 11.4：
A second example: the resonant tunnelling effect / 11.5：
A more sophisticated example: a sub-wavelength periodic structure / 11.6：
Photonic transfer through segmented optical waveguides / 11.7：
Basis of Optics / Appendix A：
Unit Systems / A.0.1：
Basic functions and operators in optics / A.1：
Reminder on vectorial calculus / A.1.1：
Relations connecting gradient, divergence and rotational / A.1.2：
Dyadic analysis / A.1.3：
Maxwell's equations / A.2：
Material equations / A.2.1：
Maxwell's equation in the dyadic scheme / A.2.2：
Wave equation / A.3：
There is no charges or currents ([characters not reproducible] = 0 and j = 0) / A.3.1：
The medium is homogeneous, ([mu] and [epsilon] space-independent) / A.3.2：
The medium is homogeneous and there is no charges or currents / A.3.3：
Case of harmonic fields / A.3.4：
Scalar and vector potentials / A.4：
Static regimes / A.5：
Poisson's and Laplace's equations / A.5.1：
Field generated by a single charge / A.5.2：
Flux of an electric field through a surface element / A.5.3：
Gauss' theorem / A.5.4：
Green's functions and Green's theorem / A.6：
Green's functions in classical potential theory / A.6.1：
Time dependent fields: the Helmholtz equation / A.6.2：
Green's theorem / A.6.3：
Green's dyadic / A.6.4：
Expansion of a field in term of a set of plane waves / A.7：
Basis / A.7.1：
Angular spectrum expansion (A.S.E.) / A.7.2：
Propagation of light using A.S.E. / A.8：
Analysis of the results / A.9：
Nomenclature
List of Acronyms
Glossary
Index
Author Index
Bibliography
Preface
How to read this book
History of Near-field Optics / Chapter 1：
28.

図書
図書
28. Micromagnetism and the microstructure of ferromagnetic solids (: hbk.)
Helmut Kronmüller, Manfred Fähnle
出版情報: Cambridge : Cambridge University Press, 2003  xv, 432 p. ; 26 cm
所蔵情報: loading…
目次情報: 続きを見る
Acknowledgements
Introduction / 1：
References
Units of magnetic properties / Appendix：
Magnetic Gibbs free energy / 2：
Introductionary remarks / 2.1：
Magnetic energy terms / 2.2：
Exchange energy / 2.2.1：
Short-range exchange interactions / 2.2.1.1：
Long-range exchange interactions / 2.2.1.2：
Magnetocrystalline anisotropy energy / 2.2.2：
Magnetostatic energies / 2.2.3：
Elastic potential of a ferromagnet / 2.2.4：
Strain tensor in ferromagnetic materials / 2.2.4.1：
Determination of strain tensors / 2.2.4.2：
Derivation of the magnetoelastic potential / 2.2.4.3：
Summary / 2.3：
Basic micromagnetic equilibrium conditions / 3：
Static micromagnetic equations / 3.1：
Micromagnetic equations in polar coordinates / 3.2：
Micromagnetic equations in terms of swirls and magnetic chares / 3.3：
Linearized micromagnetic equations / 3.4：
Domain walls in crystalline and amorphous solids / 4：
General remarks / 4.1：
Bloch walls / 4.2：
Effect of magnetostrictive deformations / 4.3：
Effect of internal stresses / 4.4：
Bloch walls in cubic crystals / 4.5：
Neel walls in bulk materials and thin films / 4.6：
Neel walls in bulk crystals / 4.6.1：
Neel walls in thin films / 4.6.3：
Phase diagrams of Neel and Bloch walls in thin films / 4.6.4：
Interaction of domain walls with defects / 5：
Interaction energy of domain walls with point defects / 5.1：
180[degree]-wall in amorphous alloys with uniaxial anisotropy / 5.3：
180[degree]-wall in [alpha]-Fe / 5.4：
Interaction forces of domain walls with point defects / 5.5：
Interaction of Bloch walls with dislocations / 5.6：
Straight dislocation lines / 5.6.1：
Dislocations of length l parallel to the domain wall plane (x, y) / 5.6.1.1：
Dislocations intersecting the domain walls / 5.6.1.2：
Straight dislocation dipoles / 5.6.2：
Dislocation loops / 5.6.3：
Interaction of domain walls with planar defects / 5.7：
Pinning by thin planar defects / 5.7.1：
Pinning by extended planar defects / 5.7.2：
Pinning by phase boundaries / 5.7.3：
Coercivity of modern magnetic materials / 6：
Micromagnetism of hard magnetic materials / 6.1：
Homogeneous rotation / 6.2.1：
Inhomogeneous rotation by the curling mode / 6.2.2：
Inhomogeneous rotation by the buckling mode / 6.2.3：
Critical diameters of single domain particles / 6.2.4：
Thermal stability limit / 6.2.4.1：
Crossover diameter for nucleation processes / 6.2.4.2：
Critical diameter for domain formation / 6.2.4.3：
Comparison with experiment / 6.2.5：
Nucleation under oblique magnetic fields / 6.3：
Curling mode / 6.3.1：
Nucleation in magnetically soft regions / 6.4：
Nucleation in inhomogeneous misaligned grains / 6.5：
Micromagnetic analysis of the coercive field of modern permanent magnets / 6.6：
Nucleation versus pinning / 6.6.1：
Analysis of the temperature dependence of the coercive field / 6.6.2：
Nanocrystalline and composite nanocrystalline magnets / 6.6.3：
Nanostructured, nanocrystalline Sm[subscript 2]Co[subscript 17]-based permanent magnets / 6.6.4：
Alternative coercivity models - the nucleus expansion model / 6.7：
Statistical theory of domain wall pinning / 7：
Statistical pinning potential / 7.1：
Applications of the statistical pinning theory / 7.2：
Dislocations in crystalline metals / 7.2.1：
Dislocation dipoles / 7.2.2：
Point defects / 7.2.3：
Amorphous alloys / 7.2.4：
Intrinsic fluctuations of exchange and local anisotropy energy / 7.2.4.1：
Internal stress sources / 7.2.4.2：
Coercive field due to surface irregularities / 7.2.4.3：
Nanocrystalline alloys / 7.2.5：
Law of approach to ferromagnetic saturation and high-field susceptibility / 8：
Approach to saturation in uniaxial crystals / 8.1：
Approach to saturation in cubic crystals / 8.3：
Approach to saturation in the presence of stress sources / 8.4：
Isotropic spherical defects / 8.4.1：
Dislocation groups / 8.4.3：
Anisotropy of the high-field susceptibility / 8.4.6：
Magnetostatic fluctuations / 8.4.8：
Magnetocrystalline fluctuations / 8.4.8.3：
Magnetoelastic fluctuations / 8.4.8.4：
Analysis of experimental results / 8.4.8.5：
Nonmagnetic holes and nonferromagnetic precipitations / 8.4.9：
Microstructure and domain patterns / 9：
Origin of domain patterns / 9.1：
Laminar domain patterns / 9.2：
Landau structure / 9.2.1：
Kittel structure / 9.2.2：
Partial Landau-Kittel structure / 9.2.3：
Kittel-type structure for in-plane easy direction / 9.2.4：
The [mu]* -correction / 9.2.5：
Branching of domains in hard magnetic materials / 9.2.6：
Domain patterns in amorphous alloys / 9.3：
As-quenched amorphous alloys / 9.3.1：
Magnetic annealing of amorphous alloys / 9.3.2：
Domain structure and magnetization processes / 9.3.3：
Stress-induced magnetic anisotropy / 9.3.4：
Stripe domains in thin ferromagnetic films / 9.4：
Dislocations and domain patterns / 9.5：
Domain patterns in plastically deformed Ni-single crystals / 9.5.1：
Domain patterns in plastically deformed Fe-single crystals / 9.5.3：
Micromagnetic background of the magnetoelastic coupling energy due to dislocations / 9.5.4：
Ripple structures / 9.5.5：
Magnetic after-effects in amorphous alloys / 10：
Double-well model of magnetic after-effects in amorphous alloys / 10.1：
Stabilization energy of domain walls / 10.3：
Formation of induced anisotropy / 10.4：
Basic experimental results / 10.5：
Concluding remarks / 10.6：
Magnetostriction in amorphous and polycrystalline ferromagnets / 11：
Outline of the problems / 11.1：
Polycrystalline model of amorphous ferromagnets / 11.2：
Basic computational ideas / 11.3：
Mathematical formalism / 11.4：
Balance-of-force method / 11.4.1：
Incompatibility method / 11.4.2：
Zeroth- and first-order terms / 11.4.3：
Results for the saturation magnetostriction of ferromagnets / 11.5：
Field dependence of magnetostriction / 11.6：
Appendix
Micromagnetic theory of phase transitions in spatially disordered spin systems / 12：
Classification of disordered spin systems / 12.1：
Phase transition in random exchange ferromagnets / 12.2：
Critical behaviour / 12.2.1：
Crossover regime to mean field behaviour / 12.2.2：
Molecular field theory and Landau-Ginzburg theory / 12.3：
Extended Landau-Ginzburg theory / 12.4：
Correlated molecular field theory / 12.5：
Physical motivation / 12.5.1：
Calculation of the paramagnetic zero-field susceptibility / 12.5.2：
Random ferrimagnets, spin glasses and random anisotropy magnets / 12.6：
Dynamic correlated molecular field theory / 12.7：
Computational micromagnetism of thin platelets and small particles / 13：
Applications of the finite difference method / 13.1：
Applications of the finite element method / 13.3：
Discretization and adaptive mesh refinement / 13.3.1：
Discretization of the Gibbs free energy used for computational micromagnetism / 13.3.2：
Magnetic structures and magnetization processes in thin platelets / 13.3.3：
Magnetic structures and magnetization processes in small particles / 13.3.4：
Soft magnetic particles in a hard magnetic matrix / 13.3.5：
Assemblies of nanocrystalline grains / 13.3.6：
Computational micromagnetism of dynamic magnetization processes / 14：
Landau-Lifshitz and Gilbert equations / 14.1：
Characteristic time ranges / 14.2：
Magnetization reversal in thin films / 14.3：
Discretization of the Landau-Lifshitz-Gilbert equation / 14.4：
Dynamic nucleation field / 14.5：
Dynamics of thermally activated reversal processes / 14.6：
Thermal fluctuations / 14.6.1：
Thermally activated relaxation / 14.6.2：
Scaling laws of the statistical pinning theory
Index
Acknowledgements
Introduction / 1：
References
29.

図書
図書
29. Optical properties of 2D systems with interacting electrons
edited by Wolfgang J. Ossau and Robert Suris
出版情報: Dordrecht ; London : Kluwer Academic, c2003  292 p ; 25 cm
シリーズ名: NATO science series ; Series II, Mathematics, physics, and chemistry : v. 119
所蔵情報: loading…
30.

電子ブック
ＥＢ
30. IEEE Std 7-4.3.2-2003 (Revision of IEEE Std 7-4.3.2-1993): IEEE Standard Criteria for Digital Computers in Safety Systems of Nuclear Power Generating Stations
出版情報: IEEE Electronic Library (IEL) Standards , IEEE, 2003
所蔵情報: loading…
31.

電子ブック
ＥＢ
31. 14515-2-2003 - ISO/IEC Standard for Information Technology--Portable Operating System Interface (POSIX)--Test Methods for Measuring Conformance to POSIX --Part 2: Shell and Utilities
出版情報: IEEE Electronic Library (IEL) Standards , IEEE, 2003
所蔵情報: loading…
32.

図書
図書
32. Spatial data analysis : theory and practice (: pbk)
Robert Haining
出版情報: New York : Cambridge University Press, 2003  xx, 432 p. ; 25 cm
所蔵情報: loading…
目次情報: 続きを見る
Preface
Acknowledgements
Introduction
About the book / 0.1：
What is spatial data analysis? / 0.2：
Motivation for the book / 0.3：
Organization / 0.4：
The spatial data matrix / 0.5：
The context for spatial data analysis / Part A：
Spatial data analysis: scientific and policy context / 1：
Spatial data analysis in science / 1.1：
Generic issues of place, context and space in scientific explanation / 1.1.1：
Location as place and context / (a)：
Location and spatial relationships / (b)：
Spatial processes / 1.1.2：
Place and space in specific areas of scientific explanation / 1.2：
Defining spatial subdisciplines / 1.2.1：
Examples: selected research areas / 1.2.2：
Environmental criminology
Geographical and environmental (spatial) epidemiology
Regional economics and the new economic geography / (c)：
Urban studies / (d)：
Environmental sciences / (e)：
Spatial data analysis in problem solving / 1.2.3：
Spatial data analysis in the policy area / 1.3：
Some examples of problems that arise in analysing spatial data / 1.4：
Description and map interpretation / 1.4.1：
Information redundancy / 1.4.2：
Modelling / 1.4.3：
Concluding remarks / 1.5：
The nature of spatial data / 2：
The spatial data matrix: conceptualization and representation issues / 2.1：
Geographic space: objects, fields and geometric representations / 2.1.1：
Geographic space: spatial dependence in attribute values / 2.1.2：
Variables / 2.1.3：
Classifying variables
Levels of measurement
Sample or population? / 2.1.4：
The spatial data matrix: its form / 2.2：
The spatial data matrix: its quality / 2.3：
Model quality / 2.3.1：
Attribute representation
Spatial representation: general considerations
Spatial representation: resolution and aggregation
Data quality / 2.3.2：
Accuracy
Resolution
Consistency
Completeness
Quantifying spatial dependence / 2.4：
Fields: data from two-dimensional continuous space
Objects: data from two-dimensional discrete space
Spatial data: obtaining data and quality issues / 2.5：
Obtaining spatial data through sampling / 3：
Sources of spatial data / 3.1：
Spatial sampling / 3.2：
The purpose and conduct of spatial sampling / 3.2.1：
Design- and model-based approaches to spatial sampling / 3.2.2：
Design-based approach to sampling
Model-based approach to sampling
Comparative comments
Sampling plans / 3.2.3：
Selected sampling problems / 3.2.4：
Design-based estimation of the population mean
Model-based estimation of means
Spatial prediction
Sampling to identify extreme values or detect rare events
Maps through simulation / 3.3：
Data quality: implications for spatial data analysis / 4：
Errors in data and spatial data analysis / 4.1：
Models for measurement error / 4.1.1：
Independent error models
Spatially correlated error models
Gross errors / 4.1.2：
Distributional outliers
Spatial outliers
Testing for outliers in large data sets
Error propagation / 4.1.3：
Data resolution and spatial data analysis / 4.2：
Variable precision and tests of significance / 4.2.1：
The change of support problem / 4.2.2：
Change of support in geostatistics
Areal interpolation
Analysing relationships using aggregate data / 4.2.3：
Ecological inference: parameter estimation
Ecological inference in environmental epidemiology: identifying valid hypotheses
The modifiable areal units problem (MAUP)
Data consistency and spatial data analysis / 4.3：
Data completeness and spatial data analysis / 4.4：
The missing-data problem / 4.4.1：
Approaches to analysis when data are missing
Approaches to analysis when spatial data are missing
Spatial interpolation, spatial prediction / 4.4.2：
Boundaries, weights matrices and data completeness / 4.4.3：
The exploratory analysis of spatial data / 4.5：
Exploratory spatial data analysis: conceptual models / 5：
EDA and ESDA / 5.1：
Conceptual models of spatial variation / 5.2：
The regional model
Spatial 'rough' and 'smooth'
Scales of spatial variation
Exploratory spatial data analysis: visualization methods / 6：
Data visualization and exploratory data analysis / 6.1：
Data visualization: approaches and tasks / 6.1.1：
Data visualization: developments through computers / 6.1.2：
Data visualization: selected techniques / 6.1.3：
Visualizing spatial data / 6.2：
Data preparation issues for aggregated data: variable values / 6.2.1：
Data preparation issues for aggregated data: the spatial framework / 6.2.2：
Non-spatial approaches to region building
Spatial approaches to region building
Design criteria for region building
Special issues in the visualization of spatial data / 6.2.3：
Data visualization and exploratory spatial data analysis / 6.3：
Spatial data visualization: selected techniques for univariate data / 6.3.1：
Methods for data associated with point or area objects
Methods for data from a continuous surface
Spatial data visualization: selected techniques for bi- and multi-variate data / 6.3.2：
Uptake of breast cancer screening in Sheffield / 6.3.3：
Exploratory spatial data analysis: numerical methods / 6.4：
Smoothing methods / 7.1：
Resistant smoothing of graph plots / 7.1.1：
Resistant description of spatial dependencies / 7.1.2：
Map smoothing / 7.1.3：
Simple mean and median smoothers
Introducing distance weighting
Smoothing rates
Non-linear smoothing: headbanging
Non-linear smoothing: median polishing
Some comparative examples / (f)：
The exploratory identification of global map properties: overall clustering / 7.2：
Clustering in area data / 7.2.1：
Clustering in a marked point pattern / 7.2.2：
The exploratory identification of local map properties / 7.3：
Cluster detection / 7.3.1：
Area data
Inhomogeneous point data
Focused tests / 7.3.2：
Map comparison / 7.4：
Bivariate association
Spatial association
Hypothesis testing and spatial autocorrelation / Part D：
Hypothesis testing in the presence of spatial dependence / 8：
Spatial autocorrelation and testing the mean of a spatial data set / 8.1：
Spatial autocorrelation and tests of bivariate association / 8.2：
Pearson's product moment correlation coefficient / 8.2.1：
Chi-square tests for contingency tables / 8.2.2：
Modelling spatial data / Part E：
Models for the statistical analysis of spatial data / 9：
Descriptive models / 9.1：
Models for large-scale spatial variation / 9.1.1：
Models for small-scale spatial variation / 9.1.2：
Models for data from a surface
Models for continuous-valued area data
Models for discrete-valued area data
Models with several scales of spatial variation / 9.1.3：
Hierarchical Bayesian models / 9.1.4：
Explanatory models / 9.2：
Models for continuous-valued response variables: normal regression models / 9.2.1：
Models for discrete-valued area data: generalized linear models / 9.2.2：
Hierarchical models / 9.2.3：
Adding covariates to hierarchical Bayesian models
Modelling spatial context: multi-level models
Statistical modelling of spatial variation: descriptive modelling / 10：
Models for representing spatial variation / 10.1：
Models for continuous-valued variables / 10.1.1：
Trend surface models with independent errors
Semi-variogram and covariance models
Trend surface models with spatially correlated errors
Models for discrete-valued variables / 10.1.2：
Some general problems in modelling spatial variation / 10.2：
Statistical modelling of spatial variation: explanatory modelling / 10.3：
Methodologies for spatial data modelling / 11.1：
The 'classical' approach / 11.1.1：
The econometric approach / 11.1.2：
A general spatial specification
Two models of spatial pricing
A 'data-driven' methodology / 11.1.3：
Some applications of linear modelling of spatial data / 11.2：
Testing for regional income convergence / 11.2.1：
Models for binary responses / 11.2.2：
A logistic model with spatial lags on the covariates
Autologistic models with covariates
Multi-level modelling / 11.2.3：
Bayesian modelling of burglaries in Sheffield / 11.2.4：
Bayesian modelling of children excluded from school / 11.2.5：
Concluding comments / 11.3：
Software / Appendix I：
Cambridgeshire lung cancer data / Appendix II：
Sheffield burglary data / Appendix III：
Children excluded from school: Sheffield / Appendix IV：
References
Index
Preface
Acknowledgements
Introduction
33.

図書
図書
33. Fluctuations, order, and defects
Gene F. Mazenko
出版情報: Hoboken, N.J. : Wiley-Interscience, c2003  xvi, 673 p. ; 25 cm
所蔵情報: loading…
目次情報: 続きを見る
Preface
Ordered Phases / 1：
Overview / 1.1：
Order Parameters / 1.2：
Symmetry Breaking / 1.3：
Ferromagnetic Case / 1.3.1：
Spontaneous Symmetry Breaking / 1.3.2：
General Treatment of Symmetries / 1.3.3：
Heisenberg Model and Rotational Invariance / 1.3.4：
Symmetry Breaking Fields / 1.3.5：
Global Gauge Symmetry / 1.3.6：
Local Gauge Symmetry / 1.3.7：
Reduced Symmetries and Solids / 1.3.8：
More Order Parameters / 1.4：
Heisenberg Magnets / 1.4.1：
Superfluid [superscript 4]He / 1.4.2：
Superconductivity / 1.4.3：
Phase Separation in Binary Alloys / 1.4.4：
Order-Disorder Transitions in Binary Alloys / 1.4.5：
Displacive Transitions / 1.4.6：
Ferroelectric and Antiferroelectric Transitions / 1.4.7：
Potts Models / 1.4.8：
Nematic Liquid Crystals / 1.4.9：
Solids / 1.4.10：
Smectic A Liquid Crystals / 1.4.11：
Liquid-Gas Phase Transition / 1.4.12：
Phase Separation of Binary Fluid Mixtures / 1.4.13：
Polymer Mixtures / 1.4.14：
Block Copolymers / 1.4.15：
Phase Transitions and Breakdown of Translational Invariance / 1.5：
Coarse Graining and Effective Hamiltonians / 2：
Introduction / 2.1：
Effective Hamiltonians / 2.2：
Overview of Calculations of Effective Hamiltonians / 2.2.1：
Coarse Graining in a System with a Single Macrovariable / 2.2.3：
Spatial Correlations and Cell Size / 2.2.4：
Effective Hamiltonian: Multiple Macrovariables / 2.3：
Reduced Effective Hamiltonians / 2.4：
Square Gradient Correction / 2.5：
Effective Hamiltonian in the Energy Representation / 2.6：
Mixed Basis Form for the Effective Hamiltonian / 2.7：
Simple Fluids / 2.8：
Examples of Characteristic Lengths / 2.9：
Correlations in a Low-Density Fluid / 2.9.1：
One-Dimensional Ising Model / 2.9.2：
Response Experiments / 2.10：
Microscopic Formulation / 2.10.1：
Example: Paramagnetic Systems / 2.10.2：
Example: Moving Coordinate Systems / 2.10.3：
Effective Hamiltonian Formulation / 2.10.4：
Coarse Graining, Effective Hamiltonians, and the Renormalization Group / 3：
Background / 3.1：
Coarse-Grained Effective Hamiltonians / 3.2：
Landau-Ginzburg-Wilson (LGW) Effective Hamiltonian / 3.3：
Mean-Field Theory / 3.4：
Generalized Equipartition Theorem / 3.5：
Example: Scalar Case / 3.6：
Renormalization Group Transformation / 3.7：
Coarse-Grained Average / 3.7.1：
Landau-Ginzburg-Wilson Example / 3.7.2：
Rescaling / 3.7.3：
Renormalization Group Specification / 3.7.4：
Fixed Points / 3.7.5：
Long-Range Interactions / 3.7.6：
Coarse-Grained Models on Intermediate Length Scales / 3.8：
Soft-Spin Ising Model / 3.8.1：
Treatment of Interactions / 3.8.2：
Evaluation of Coarse-Grained Entropy for a Fluid / 3.8.3：
Coarse-Grained Entropy for Ising Models / 3.8.4：
Fluid Mixtures / 3.8.5：
Density Functional Theory / 3.8.6：
Critical Phenomena / 4：
General Phenomenology / 4.1：
Critical Indices / 4.2：
Series Expansion Studies / 4.2.1：
Experimental Results / 4.2.2：
Universality / 4.2.3：
The Scaling Hypothesis / 4.2.4：
The Landau-Ginzburg-Wilson (LGW) Model / 4.3：
Coarse Graining / 4.3.1：
Role of Fluctuations / 4.3.2：
The Renormalization Group (RG) / 4.5：
Basic Ideas / 4.5.1：
Renormalization Group (RG) Phenomenology Near a Critical Point / 4.5.2：
The Renormalization Group Near Four Dimensions / 4.5.3：
Scaling and the RG / 4.5.4：
Comments on the [epsilon] Expansion / 4.5.5：
Nambu-Goldstone Modes / 5：
Mean-Field Treatment and Broken Continuous Symmetry / 5.1：
Longitudinal Correlations / 5.2.1：
Symmetry Breaking Field / 5.2.2：
Cubic Symmetry / 5.2.3：
Phase Fields / 5.2.4：
Goldstone Theorem / 5.3：
Hohenberg-Mermin-Wagner Theorem / 5.4：
Examples / 5.5：
Classical Magnets / 5.5.1：
Low-Temperature Quantum-Mechanical Implications / 5.5.2：
General Discussion / 5.6.1：
Nonrelativistic Particles / 5.6.2：
Photons / 5.6.3：
Spin Waves: Ferromagnets / 5.6.4：
Spin Waves: Antiferromagnets / 5.6.5：
Gauge Fields and Higgs Phenomena / 5.7：
Dielectric and Magnetic Materials / 6：
Dielectric Materials / 6.1：
Polarization and Maxwell's Equations / 6.2.1：
Experimental Configurations / 6.2.3：
Independent Variables / 6.2.4：
Variational Problem / 6.2.5：
Dipolar Energy / 6.2.6：
Electrostatics / 6.2.7：
Dielectric Slab / 6.2.8：
Materials Parameters / 6.2.9：
The Functional E[P] / 6.2.10：
Stability / 6.2.11：
Fluctuations / 6.2.12：
Thermodynamics / 6.2.13：
Magnetic Materials / 6.3：
Magnetization and Maxwell's Equations / 6.3.1：
Fixed External Currents / 6.3.3：
Fixed Magnetic Induction / 6.3.4：
Fixed External Field at Infinity / 6.3.5：
Cases with Macroscopically Uniform Internal Fields / 6.3.6：
Exchange Contribution to E[M] / 6.3.11：
Magnetostatic Energy / 6.3.12：
Fluctuation Spectrum / 6.3.13：
Phase Transitions and Ordering / 6.3.14：
Polymers / 6.3.15：
Flexible Polymer Chains / 7.1：
Random-Walk Model / 7.2：
Lattice Formulation / 7.2.1：
Continuum Formulation / 7.2.2：
Density Correlations for Ideal Chains / 7.2.3：
Self-Avoiding Walks / 7.3：
Continuous Formulation / 7.3.1：
Perturbation Theory / 7.3.2：
Flory Theory / 7.3.3：
Semidilute Polymer Solutions / 7.3.4：
Screening / 7.4.1：
Screening and Swelling / 7.4.2：
Diblock Copolymers / 7.5：
Neutral Superfluids / 8：
General Comments / 8.1：
Normal Flow / 8.2：
Superfluid Flow / 8.3：
Quantum-Statistical-Mechanical Treatment of Superflow / 8.4：
Interpretation of V[subscript 0] and F[subscript V subscript s] / 8.5：
Superfluid Thermodynamics / 8.6：
The Superfluid Velocity as a Slow Variable / 8.7：
The Effective Hamiltonian / 8.8：
Flow and the LGW Description / 8.9：
Second Sound / 8.10：
Superconductors / 9：
Ginzburg-Landau Effective Hamiltonian / 9.1：
Uniform Solutions and Condensation Energy / 9.2：
Fluctuation Effects and Higgs Phenomena / 9.3：
Meissner Effect and Penetration Depth / 9.4：
Upper Critical Field / 9.5：
Upper Critical Current / 9.6：
Persistent Currents / 9.7：
Dimensionless Variables / 9.8：
Surface Energy / 9.9：
Normal-Superconducting Transition / 9.10：
Liquid Crystals / 10：
Complex Systems / 10.1：
Order Parameter / 10.2：
Potential Part of the Effective Hamiltonian / 10.2.2：
The Gradient Part of the Effective Hamiltonian / 10.2.3：
Spontaneous Fluctuations / 10.2.4：
Walls and Nonuniform Configurations / 10.2.5：
Magnetic Fields / 10.2.7：
The de Gennes Model / 10.3：
Landau Theory / 10.3.2：
Fluctuations and Order / 10.3.3：
Theory of Freezing / 11：
Density Functional Theory of Freezing / 11.2：
Hard-Sphere Fluids / 11.2.1：
Numerical Solution for Face-Centered Cubic (FCC) Lattice / 11.3：
Nambu--Goldstone (NG) Modes and Elastic Theory / 11.4：
Defects / 12：
Scalar Order Parameter Systems and Interfaces / 12.1：
Mean-Field Solution / 12.2.1：
[Psi superscript 4] Theory / 12.2.2：
Asymmetric Case / 12.2.3：
Polymer Mixture / 12.2.4：
Liquid--Gas Interface / 12.2.5：
Broken Translational Symmetry and the NG Modes / 12.2.6：
Finite-Energy Defects / 12.3：
Singularities and Topological Invariants / 12.4：
Topological Stability and Escape to a Higher Dimension / 12.5：
Vortices in XY Models and Neutral Superfluids / 12.6：
Single-Vortex Solution / 12.6.1：
Energy of an Isolated Vortex / 12.6.2：
Phase Field Approximation and Multiple-Vortex Solutions / 12.6.3：
Vortices in Superconductors / 12.7：
Ginzburg--Landau Treatment / 12.7.1：
London Theory / 12.7.2：
Heisenberg Model / 12.8：
Winding Number for an n = 3 Order Parameter / 12.8.1：
LGW Model / 12.8.2：
Avoiding Derrick's Theorem / 12.8.3：
Disclinations and Monopoles in Nematic Liquid Crystals / 12.9：
Phase Field Approximation / 12.9.1：
Defect Core Considerations / 12.9.3：
Monopoles in a Nematic / 12.9.4：
Strings in a Nematic / 12.9.5：
Dislocations and Vacancies in Solids / 12.10：
Elastic Theory and Defects / 12.10.1：
Straight-Line Screw Dislocation / 12.10.3：
Straight-Line End Dislocation / 12.10.4：
Defects in Equilibrium / 13：
Defects in Low Dimension / 13.1：
Kinks in One Dimension / 13.1.1：
Kosterlitz--Thouless Transition in Two-Dimensional Systems / 13.2：
General Considerations / 13.2.1：
Quasi-Long-Range Order / 13.2.2：
Superfluid Density / 13.2.3：
Two-Dimensional Coulomb Gas / 13.2.4：
RG Treatment of Parameters / 13.2.5：
Order Parameter Correlations / 13.2.6：
Block Copolymer Microphase Separation / 13.3：
Ohta--Kawasaki Effective Hamiltonian / 13.3.1：
Lamellar Structure: Weak Segregation / 13.3.2：
Lamellar Structure: Strong Segregation / 13.3.3：
Two- and Three-Dimensional Structures / 13.3.4：
Domains in Ferromagnets / 13.4：
Domain Wall Solutions / 13.4.1：
Bloch Wall Solution / 13.4.3：
Domain Wall Arrays / 13.4.4：
Intermediate State for Type I Superconductors / 13.5：
Magnetic Field / 13.5.1：
Magnetic Energy / 13.5.2：
Minimum Energy / 13.5.3：
Mixed State in Type II Superconductors / 13.6：
Flux Lattice / 13.6.1：
Brief Review of Transformation Theory in Thermodynamics / A：
General Theory / A.1：
Example of a Simple Fluid / A.2：
Gaussian Averages / B：
Functional Differentiation and Integration / C：
Differentiation / C.1：
Integration / C.2：
Fluctuation Contribution to Free Energy / C.3：
Higher-Order Correlation Functions / C.4：
Parameters for the Effective Hamiltonian / C.5：
Quantum-Mechanical Linear Response / D：
Perturbation Theory for Self-Avoiding Walk (SAW) Problem / E：
Monopoles in the n = 3 LGW System / F：
Index
Preface
Ordered Phases / 1：
Overview / 1.1：
34.

図書
図書
34. Generic programming : IFIP TC2/WG2.1 Working Conference on Generic Programming, July 11-12, 2002, Dagstuhl, Germany
edited by Jeremy Gibbons, Johan Jeuring
出版情報: Norwell : Kluwer Academic, c2003  242 p. ; 25 cm
シリーズ名: The International Federation for Information Processing ; 115
所蔵情報: loading…
35.

図書
図書
35. Semantic issues in e-commerce systems : IFIP TC2/WG2.6 ninth Working Conference on Database Semantics, April 25-28, 2001, Hong Kong
edited by Robert Meersman, Karl Aberer, Tharam Dillon
出版情報: Boston : Kluwer Academic Publishers, c2003  xv, 341 p. ; 25 cm
シリーズ名: The International Federation for Information Processing ; 111
所蔵情報: loading…
36.

図書
図書
36. Security engineering with patterns : origins, theoretical model, and new applications
Markus Schumacher
出版情報: Berlin ; Tokyo : Springer, c2003  xiv, 208 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2754
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1：
Motivation / 1.1：
Problem Statement / 1.2：
Solution / 1.3：
Unaddressed Related Issues / 1.4：
Structural Overview / 1.5：
Patterns in Software Development / 2：
Pattern History / 2.1：
Basic Pattern Concepts / 2.3：
Collections of Patterns / 2.4：
Pattern Classification Approaches / 2.5：
Writing Patterns / 2.6：
Pattern Mining Approaches / 2.6.1：
Quality Assurance by Community Processes / 2.6.2：
Integration of Patterns / 2.6.3：
Problem Solving with Patterns / 2.7：
Summary / 2.8：
Ontologies / 3：
Security Knowledge Process / 3.1：
Knowledge Representation with Ontologies / 3.3：
Development of Ontologies / 3.4：
Design Criteria / 3.4.1：
Methodologies / 3.4.2：
Ontology Representation Languages / 3.4.3：
Tool Support / 3.4.4：
The Human Factor / 3.5：
CaseStudies / 4.1：
Internet/Telephony Integration / 4.2.1：
Instant Messaging / 4.2.2：
Findings / 4.2.3：
Why Security Fails / 4.3：
Related Work / 4.4：
Classifying Security Improvement Artifacts / 4.5：
Classification Framework / 5.1：
Security Engineering / 5.2.1：
System Engineering / 5.2.2：
The Zachman Framework / 5.2.3：
Classification Metrics / 5.2.4：
Requirements Definition / 5.3：
Evaluation Criteria / 5.3.1：
Security Management Standards / 5.3.2：
Security Policy / 5.3.3：
Analysis / 5.3.4：
Goal Trees / 5.4.1：
Risk Analysis / 5.4.2：
Work Factor Concept / 5.4.3：
Prioritization Schemes / 5.4.4：
Architecture and Design / 5.4.5：
Modeling Techniques / 5.5.1：
Formal Methods / 5.5.2：
Building / 5.5.3：
Secure Programming Guidelines / 5.6.1：
SecurityBuildingBlocks / 5.6.2：
Best Security Practices / 5.6.3：
Testing / 5.6.4：
Conceptual Testing / 5.7.1：
Runtime Testing / 5.7.2：
Summary and Conclusions / 5.7.3：
Conclusions / 5.8.1：
Toward a Security Core Ontology / 6：
Methodology / 6.1：
Definitions of Concepts / 6.4：
Relations between Concepts / 6.5：
Foundations of Security Patterns / 6.6：
Security Pattern Example / 7.1：
History of Security Patterns / 7.3：
PioneeringSecurityPatterns / 7.3.1：
Other Contributions / 7.3.2：
Security Pattern Community / 7.3.3：
What Is a Security Pattern? / 7.4：
Security Pattern Template / 7.4.1：
Application of Security Patterns / 7.4.2：
Forces Related to Security / 7.4.3：
Organizing Security Patterns / 7.4.4：
Mining Security Patterns / 7.5：
Completeness of Security Pattern Collections / 7.5.1：
Security Information Providers / 7.5.2：
Security Standards as Sources for Pattern Mining / 7.5.3：
A Theoretical Model for Security Patterns / 7.6：
Modeling Security Patterns / 8.1：
Core Definitions / 8.4：
Primary Security Pattern Relations / 8.5：
Internal and External Coverage / 8.6：
Why Coverage Implies a State of Security / 8.7：
New Applications of Security Patterns / 8.8：
A Security Pattern Search Engine / 9.1：
A Pattern-Based Expert System? / 9.2.1：
Use Cases / 9.2.2：
Prototype / 9.2.3：
Enhancing Security Patterns with Meta-information / 9.2.4：
Codifying the Knowledge Base and Inference Rules / 9.3.1：
Basic Applications / 9.3.2：
Advanced Techniques / 9.4：
Improvement of Search and Retrieval Capabilities / 9.4.1：
Considering Side-Effects / 9.4.2：
Maintaining Security Pattern Repositories / 9.4.3：
Summary and Outlook / 9.5：
Sources for Mining Security Patterns / A：
Example Security Patterns and Annotations / B：
Ontology Development / C：
Logic Primer / D：
Gaining Security Expertise / E：
References
Index
Introduction / 1：
Motivation / 1.1：
Problem Statement / 1.2：
37.

電子ブック
ＥＢ
37. Security Engineering with Patterns
Markus Schumacher
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2003
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1：
Motivation / 1.1：
Problem Statement / 1.2：
Solution / 1.3：
Unaddressed Related Issues / 1.4：
Structural Overview / 1.5：
Patterns in Software Development / 2：
Pattern History / 2.1：
Basic Pattern Concepts / 2.3：
Collections of Patterns / 2.4：
Pattern Classification Approaches / 2.5：
Writing Patterns / 2.6：
Pattern Mining Approaches / 2.6.1：
Quality Assurance by Community Processes / 2.6.2：
Integration of Patterns / 2.6.3：
Problem Solving with Patterns / 2.7：
Summary / 2.8：
Ontologies / 3：
Security Knowledge Process / 3.1：
Knowledge Representation with Ontologies / 3.3：
Development of Ontologies / 3.4：
Design Criteria / 3.4.1：
Methodologies / 3.4.2：
Ontology Representation Languages / 3.4.3：
Tool Support / 3.4.4：
The Human Factor / 3.5：
CaseStudies / 4.1：
Internet/Telephony Integration / 4.2.1：
Instant Messaging / 4.2.2：
Findings / 4.2.3：
Why Security Fails / 4.3：
Related Work / 4.4：
Classifying Security Improvement Artifacts / 4.5：
Classification Framework / 5.1：
Security Engineering / 5.2.1：
System Engineering / 5.2.2：
The Zachman Framework / 5.2.3：
Classification Metrics / 5.2.4：
Requirements Definition / 5.3：
Evaluation Criteria / 5.3.1：
Security Management Standards / 5.3.2：
Security Policy / 5.3.3：
Analysis / 5.3.4：
Goal Trees / 5.4.1：
Risk Analysis / 5.4.2：
Work Factor Concept / 5.4.3：
Prioritization Schemes / 5.4.4：
Architecture and Design / 5.4.5：
Modeling Techniques / 5.5.1：
Formal Methods / 5.5.2：
Building / 5.5.3：
Secure Programming Guidelines / 5.6.1：
SecurityBuildingBlocks / 5.6.2：
Best Security Practices / 5.6.3：
Testing / 5.6.4：
Conceptual Testing / 5.7.1：
Runtime Testing / 5.7.2：
Summary and Conclusions / 5.7.3：
Conclusions / 5.8.1：
Toward a Security Core Ontology / 6：
Methodology / 6.1：
Definitions of Concepts / 6.4：
Relations between Concepts / 6.5：
Foundations of Security Patterns / 6.6：
Security Pattern Example / 7.1：
History of Security Patterns / 7.3：
PioneeringSecurityPatterns / 7.3.1：
Other Contributions / 7.3.2：
Security Pattern Community / 7.3.3：
What Is a Security Pattern? / 7.4：
Security Pattern Template / 7.4.1：
Application of Security Patterns / 7.4.2：
Forces Related to Security / 7.4.3：
Organizing Security Patterns / 7.4.4：
Mining Security Patterns / 7.5：
Completeness of Security Pattern Collections / 7.5.1：
Security Information Providers / 7.5.2：
Security Standards as Sources for Pattern Mining / 7.5.3：
A Theoretical Model for Security Patterns / 7.6：
Modeling Security Patterns / 8.1：
Core Definitions / 8.4：
Primary Security Pattern Relations / 8.5：
Internal and External Coverage / 8.6：
Why Coverage Implies a State of Security / 8.7：
New Applications of Security Patterns / 8.8：
A Security Pattern Search Engine / 9.1：
A Pattern-Based Expert System? / 9.2.1：
Use Cases / 9.2.2：
Prototype / 9.2.3：
Enhancing Security Patterns with Meta-information / 9.2.4：
Codifying the Knowledge Base and Inference Rules / 9.3.1：
Basic Applications / 9.3.2：
Advanced Techniques / 9.4：
Improvement of Search and Retrieval Capabilities / 9.4.1：
Considering Side-Effects / 9.4.2：
Maintaining Security Pattern Repositories / 9.4.3：
Summary and Outlook / 9.5：
Sources for Mining Security Patterns / A：
Example Security Patterns and Annotations / B：
Ontology Development / C：
Logic Primer / D：
Gaining Security Expertise / E：
References
Index
Introduction / 1：
Motivation / 1.1：
Problem Statement / 1.2：
38.

図書
図書
38. Lossless compression handbook
Khalid Sayood, editor
出版情報: San Diego, Calif. ; London : Academic, 2003  xx, 455 p., [3] p. of plates ; 26 cm
シリーズ名: Academic Press series in communications, networking, and multimedia
所蔵情報: loading…
目次情報: 続きを見る
List of Contributors
Preface
Theory / Part I：
Information Theory behind Source Coding / Frans M. J. Willems ; Tjalling J. TjalkensChapter 1：
Introduction / 1.1：
Definition of Entropy / 1.1.1：
Properties of Entropy / 1.1.2：
Entropy as an Information Measure / 1.1.3：
Joint Entropy and Conditional Entropy / 1.1.4：
Properties of Joint Entropy and Conditional Entropy / 1.1.5：
Interpretation of Conditional Entropy / 1.1.6：
Sequences and Information Sources / 1.2：
Sequences / 1.2.1：
Information Sources / 1.2.2：
Memoryless Sources / 1.2.3：
Binary Sources / 1.2.4：
Discrete Stationary Sources / 1.2.5：
The Entropy Rate / 1.2.6：
Variable-Length Codes for Memoryless Sources / 1.3：
A Source Coding System, Variable-Length Codes for Source Symbols / 1.3.1：
Unique Decodability, Prefix Codes / 1.3.2：
Kraft's Inequality for Prefix Codes and Its Counterpart / 1.3.3：
Redundancy, Entropy, and Bounds / 1.3.4：
Variable-Length Codes for Blocks of Symbols / 1.3.5：
Variable-Length Codes for Sources with Memory / 1.4：
Block Codes Again / 1.4.1：
The Elias Algorithm / 1.4.2：
Representation of Sequences by Intervals / 1.4.3：
Competitive Optimality / 1.4.4：
Fixed-Length Codes for Memoryless Sources, the AEP / 1.5：
The Fixed-Length Source Coding Problem / 1.5.1：
Some Probabilities / 1.5.2：
An Example Demonstrating the Asymptotic Equipartition Property / 1.5.3：
The Idea behind Fixed-Length Source Coding / 1.5.4：
Rate and Error Probability / 1.5.5：
A Hamming Ball / 1.5.6：
An Optimal Balance between R and P[subscript epsilon] / 1.5.7：
The Fixed-Length Coding Theorem / 1.5.8：
Converse and Conclusion / 1.5.9：
References / 1.6：
Complexity Measures / Stephen R. TateChapter 2：
An Aside on Computability / 2.1：
Concerns with Shannon Information Theory / 2.2：
Strings versus Sources / 2.2.1：
Complex Non-random Sequences / 2.2.2：
Structured Random Strings / 2.2.3：
Kolmogorov Complexity / 2.3：
Basic Definitions / 2.3.1：
Incompressibility / 2.3.2：
Prefix-free Encoding / 2.3.3：
Computational Issues of Kolmogorov Complexity / 2.4：
Resource-Bounded Kolmogorov Complexity / 2.4.1：
Lower-Bounding Kolmogorov Complexity / 2.4.2：
Relation to Shannon Information Theory / 2.5：
Approach 1: An InfiniteSequence of Sources / 2.5.1：
Approach 2: Conditional Complexities / 2.5.2：
Discussion / 2.5.3：
Historical Notes / 2.6：
Further Reading / 2.7：
Compression Techniques / 2.8：
Universal Codes / Peter FenwickChapter 3：
Compact Integer Representations / 3.1：
Characteristics of Universal Codes / 3.2：
Polynomial Representations / 3.3：
Unary Codes / 3.4：
Levenstein and Elias Gamma Codes / 3.5：
Elias Omega and Even-Rodeh Codes / 3.6：
Rice Codes / 3.7：
Golomb Codes / 3.8：
Start-Step-Stop Codes / 3.9：
Fibonacci Codes / 3.10：
Zeckendorf Representation / 3.10.1：
Fraenkel and Klein Codes / 3.10.2：
Higher-Order Fibonacci Representations / 3.10.3：
Apostolico and Fraenkel Codes / 3.10.4：
A New Order-3 Fibonacci Code / 3.10.5：
Ternary Comma Codes / 3.11：
Summation Codes / 3.12：
Goldbach G[subscript 1] Codes / 3.12.1：
Additive Codes / 3.12.2：
Wheeler 1/2 Code and Run-Lengths / 3.13：
The Wheeler 1/2 Code / 3.13.1：
Using the Wheeler 1/2 Code / 3.13.2：
Comparison of Representations / 3.14：
Final Remarks / 3.15：
Huffman Coding / Steven Pigeon3.16：
Huffman Codes / 4.1：
Shannon-Fano Coding / 4.2.1：
Building Huffman Codes / 4.2.2：
N-ary Huffman Codes / 4.2.3：
Canonical Huffman Coding / 4.2.4：
Performance of Huffman Codes / 4.2.5：
Variations on a Theme / 4.3：
Modified Huffman Codes / 4.3.1：
Huffman Prefixed Codes / 4.3.2：
Extended Huffman Codes / 4.3.3：
Length-Constrained Huffman Codes / 4.3.4：
Adaptive Huffman Coding / 4.4：
Brute Force Adaptive Huffman / 4.4.1：
The Faller, Gallager, and Knuth (FGK) Algorithm / 4.4.2：
Vitter's Algorithm: Algorithm [Lambda] / 4.4.3：
Other Adaptive Huffman Coding Algorithms / 4.4.4：
An Observation on Adaptive Algorithms / 4.4.5：
Efficient Implementations / 4.5：
Memory-Efficient Algorithms / 4.5.1：
Speed-Efficient Algorithms / 4.5.2：
Conclusion and Further Reading / 4.6：
Arithmetic Coding / Amir Said4.7：
Basic Principles / 5.1：
Notation / 5.2.1：
Code Values / 5.2.2：
Optimality of Arithmetic Coding / 5.2.3：
Arithmetic Coding Properties / 5.2.5：
Implementation / 5.3：
Coding with Fixed-Precision Arithmetic / 5.3.1：
Adaptive Coding / 5.3.2：
Complexity Analysis / 5.3.3：
Dictionary-Based Data Compression: An Algorithmic Perspective / S. Cenk Sahinalp ; Nasir M. Rajpoot5.3.4：
Dictionary Construction: Static versus Dynamic / 6.1：
Static Dictionary Methods / 6.2.1：
Parsing Issues / 6.2.2：
Semidynamic and Dynamic Dictionary Methods / 6.2.3：
Extensions of Dictionary Methods for Compressing Biomolecular Sequences / 6.3：
The Biocompress Program / 6.3.1：
The GenCompress Program / 6.3.2：
Data Structures in Dictionary Compression / 6.4：
Tries and Compact Tries / 6.4.1：
Suffix Trees / 6.4.2：
Trie-Reverse Trie Pairs / 6.4.3：
Karp-Rabin Fingerprints / 6.4.4：
Benchmark Programs and Standards / 6.5：
The gzip Program / 6.5.1：
The compress Program / 6.5.2：
The GIF Image Compression Standard / 6.5.3：
Modem Compression Standards: v. 42bis and v.44 / 6.5.4：
Burrows-Wheeler Compression / 6.6：
The Burrows-Wheeler Algorithm / 7.1：
The Burrows-Wheeler Transform / 7.3：
The Burrows-Wheeler Forward Transformation / 7.3.1：
The Burrows-Wheeler Reverse Transformation / 7.3.2：
Illustration of the Transformations / 7.3.3：
Algorithms for the Reverse Transformation / 7.3.4：
Basic Implementations / 7.4：
The Burrows-Wheeler Transform or Permutation / 7.4.1：
Move-To-Front Recoding / 7.4.2：
Statistical Coding / 7.4.3：
Relation to Other Compression Algorithms / 7.5：
Improvements to Burrows-Wheeler Compression / 7.6：
Preprocessing / 7.7：
The Permutation / 7.8：
Move-To-Front / 7.8.1：
Move-To-Front Variants / 7.9.1：
Statistical Compressor / 7.10：
Eliminating Move-To-Front / 7.11：
Using the Burrows-Wheeler Transform in File Synchronization / 7.12：
Final Comments / 7.13：
Recent Developments / 7.14：
Symbol-Ranking and ACB Compression / 7.15：
Symbol-Ranking Compression / 8.1：
Shannon Coder / 8.2.1：
History of Symbol-Ranking Compressors / 8.2.2：
An Example of a Symbol-Ranking Compressor / 8.2.3：
A Fast Symbol-Ranking Compressor / 8.2.4：
Buynovsky's ACB Compressor / 8.3：
Applications / 8.4：
Lossless Image Compression / K. P. SubbalakshmiChapter 9：
Preliminaries / 9.1：
Spatial Prediction / 9.2.1：
Hierarchical Prediction / 9.2.2：
Error Modeling / 9.2.3：
Scanning Techniques / 9.2.4：
Prediction for Lossless Image Compression / 9.3：
Switched Predictors / 9.3.1：
Combined Predictors / 9.3.2：
Hierarchical Lossless Image Coding / 9.4：
Conclusions / 9.5：
Text Compression / Amar Mukherjee ; Fauzia Awan9.6：
Information Theory Background / 10.1：
Classification of Lossless Compression Algorithms / 10.3：
Statistical Methods / 10.3.1：
Dictionary Methods / 10.3.2：
Transform-Based Methods: The Burrows-Wheeler Transform (BWT) / 10.3.3：
Comparison of Performance of Compression Algorithms / 10.3.4：
Transform-Based Methods: Star (*) Transform and Length-Index Preserving Transform / 10.4：
Star (*) Transformation / 10.4.1：
Length-Index Preserving Transform (LIPT) / 10.4.2：
Experimental Results / 10.4.3：
Timing Performance Measurements / 10.4.4：
Three New Transforms--ILPT, NIT, and LIT / 10.5：
Compression of Telemetry / Sheila Horan10.6：
What is Telemetry? / 11.1：
Issues Involved in Compression of Telemetry / 11.2：
Why Use Compression on Telemetry / 11.2.1：
Structure of the Data / 11.2.2：
Size Requirements / 11.2.3：
Existing Telemetry Compression / 11.3：
Future of Telemetry Compression / 11.4：
Lossless Compression of Audio Data / Robert C. Maher11.5：
Background / 12.1：
Expectations / 12.1.2：
Terminology / 12.1.3：
Principles of Lossless Data Compression / 12.2：
Basic Redundancy Removal / 12.2.1：
Amplitude Range and Segmentation / 12.2.2：
Multiple-Channel Redundancy / 12.2.3：
Prediction / 12.2.4：
Entropy Coding / 12.2.5：
Practical System Design Issues / 12.2.6：
Numerical Implementation and Portability / 12.2.7：
Segmentation and Resynchronization / 12.2.8：
Variable Bit Rate: Peak versus Average Rate / 12.2.9：
Speed and Complexity / 12.2.10：
Examples of Lossless Audio Data Compression Software Systems / 12.3：
Shorten / 12.3.1：
Meridian Lossless Packing (MLP) / 12.3.2：
Sonic Foundry Perfect Clarity Audio (PCA) / 12.3.3：
Conclusion / 12.4：
Algorithms for Delta Compression and Remote File Synchronization / Torsten Suel ; Nasir Memon12.5：
Problem Definition / 13.1：
Content of This Chapter / 13.1.2：
Delta Compression / 13.2：
Fundamentals / 13.2.1：
LZ77-Based Delta Compressors / 13.2.3：
Some Experimental Results / 13.2.4：
Space-Constrained Delta Compression / 13.2.5：
Choosing Reference Files / 13.2.6：
Remote File Synchronization / 13.3：
The rsync Algorithm / 13.3.1：
Some Experimental Results for rsync / 13.3.3：
Theoretical Results / 13.3.4：
Results for Particular Distance Measures / 13.3.5：
Estimating File Distances / 13.3.6：
Reconciling Database Records and File Systems / 13.3.7：
Conclusions and Open Problems / 13.4：
Compression of Unicode Files / 13.5：
Unicode Character Codings / 14.1：
Big-endian versus Little-endian / 14.2.1：
UTF-8 Coding / 14.2.2：
Compression of Unicode / 14.3：
Finite-Context Statistical Compressors / 14.3.1：
Unbounded-Context Statistical Compressors / 14.3.2：
LZ-77 Compressors / 14.3.3：
Test Compressors / 14.4：
The Unicode File Test Suite / 14.4.1：
Comparisons / 14.5：
UTF-8 Compression / 14.6：
Standards / 14.7：
JPEG-LS Lossless and Near Lossless Image Compression / Michael W. HoffmanChapter 15：
Lossless Image Compression and JPEG-LS / 15.1：
JPEG-LS / 15.2：
Overview of JPEG-LS / 15.2.1：
JPEG-LS Encoding / 15.2.2：
JPEG-LS Decoding / 15.2.3：
Summary / 15.3：
The CCSDS Lossless Data Compression Recommendation for Space Applications / Pen-Shu Yeh15.4：
The e_Rice Algorithm / 16.1：
The Adaptive Entropy Coder / 16.3：
Fundamental Sequence Encoding / 16.3.1：
The Split-Sample Option / 16.3.2：
Low-Entropy Options / 16.3.3：
No Compression / 16.3.4：
Code Selection / 16.3.5：
Preprocessor / 16.4：
Predictor / 16.4.1：
Reference Sample / 16.4.2：
Prediction Error Mapper / 16.4.3：
Coded Data Format / 16.5：
Decoding / 16.6：
Testing / 16.7：
Implementation Issues and Applications / 16.8：
Additional Information / 16.9：
Lossless Bilevel Image Compression / 16.10：
Bilevel Image Compression / 17.1：
JBIG / 17.2：
Overview of JBIG Encoding/Decoding / 17.2.1：
JBIG Encoding / 17.2.2：
Data Structure and Formatting / 17.2.3：
JBIG Decoding / 17.2.4：
JBIG2 / 17.3：
Overview of JBIG2 / 17.3.1：
JBIG2 Decoding Procedures / 17.3.2：
Decoding Control and Data Structures / 17.3.3：
JPEG2000: Highly Scalable Image Compression / Ali Bilgin ; Michael W. Marcellin17.4：
JPEG2000 Features / 18.1：
Compressed Domain Image Processing/Editing / 18.2.1：
Progression / 18.2.2：
The JPEG2000 Algorithm / 18.3：
Tiles and Component Transforms / 18.3.1：
The Wavelet Transform / 18.3.2：
Quantization / 18.3.3：
Bit-Plane Coding / 18.3.4：
Packets and Layers / 18.3.5：
JPEG2000 Codestream / 18.3.6：
Performance / 18.4：
PNG Lossless Image Compression / Greg Roelofs18.5：
Historical Background / 19.1：
Design Decisions / 19.2：
Compression Engine / 19.3：
zlib Format / 19.4：
zlib Library / 19.5：
Filters / 19.6：
Practical Compression Tips / 19.7：
Compression Tests and Comparisons / 19.8：
MNG / 19.9：
Facsimile Compression / Khalid Sayood19.10：
A Brief History / 20.1：
The Compression Algorithms / 20.2：
Modified Huffman / 20.2.1：
Modified READ / 20.2.2：
Context-Based Arithmetic Coding / 20.2.3：
Run-Length Color Encoding / 20.2.4：
The Standards / 20.3：
ITU-T Group 3 (T.4) / 20.3.1：
Group 4 (T.6) / 20.3.2：
JBIG and JBIG2 (T.82 and T.88) / 20.3.3：
MRC--T.44 / 20.3.4：
Other Standards / 20.3.5：
Hardware / 20.4：
Hardware Implementation of Data Compression / Sanjukta Bhanja ; N. RanganathanChapter 21：
Text Compression Hardware / 21.1：
Tree-Based Encoder Example / 21.2.1：
Lempel-Ziv Encoder Example / 21.2.2：
Image Compression Hardware / 21.3：
DCT Hardware / 21.3.1：
Wavelet Architectures / 21.3.2：
JPEG Hardware / 21.3.3：
Video Compression Hardware / 21.4：
Some Detailed Examples / 21.4.1：
Commercial Video and Audio Products / 21.4.2：
Index / 21.5：
List of Contributors
Preface
Theory / Part I：
39.

電子ブック
ＥＢ
39. Safety and Reliability; Pipeline Technology; Volume 2
出版情報: ASME Digital Collection Conference Proceedings , 2003
所蔵情報: loading…
40.

電子ブック
ＥＢ
40. 29th Design Automation Conference, Parts A and B; Volume 2
出版情報: ASME Digital Collection Conference Proceedings , 2003
所蔵情報: loading…
41.

電子ブック
ＥＢ
41. Proceedings of the 2nd International Workshop onAdvanced Ground Penetrating Radar, 2003
出版情報: IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2003
所蔵情報: loading…
42.

図書
図書
42. A panoramic view of Riemannian geometry
Marcel Berger
出版情報: Berlin ; London : Springer, c2003  xxiii, 824 p ; 24 cm.
所蔵情報: loading…
目次情報: 続きを見る
Euclidean Geometry / 1：
Preliminaries / 1.1：
Distance Geometry / 1.2：
A Basic Formula / 1.2.1：
The Length of a Path / 1.2.2：
The First Variation Formula and Application to Billiards / 1.2.3：
Plane Curves / 1.3：
Length / 1.3.1：
Curvature / 1.3.2：
Global Theory of Closed Plane Curves / 1.4：
"Obvious" Truths About Curves Which are Hard to Prove / 1.4.1：
The Four Vertex Theorem / 1.4.2：
Convexity with Respect to Arc Length / 1.4.3：
Umlaufsatz with Corners / 1.4.4：
Heat Shrinking of Plane Curves / 1.4.5：
Arnol'd's Revolution in Plane Curve Theory / 1.4.6：
The Isoperimetric Inequality for Curves / 1.5：
The Geometry of Surfaces Before and After Gauß / 1.6：
Inner Geometry: a First Attempt / 1.6.1：
Looking for Shortest Curves: Geodesics / 1.6.2：
The Second Fundamental Form and Principal Curvatures / 1.6.3：
The Meaning of the Sign of K / 1.6.4：
Global Surface Geometry / 1.6.5：
Minimal Surfaces / 1.6.6：
The Hartman-Nirenberg Theorem for Inner Flat Surfaces / 1.6.7：
The Isoperimetric Inequality in <$>{\op E}^3<$> à la Gromov / 1.6.8：
Notes / 1.6.8.1：
Generic Surfaces / 1.7：
Heat and Wave Analysis in <$>{\op E}^2<$> / 1.8：
Planar Physics / 1.8.1：
Bibliographical Note / 1.8.1.1：
Why the Eigenvalue Problem? / 1.8.2：
Minimax / 1.8.3：
Shape of a Drum / 1.8.4：
A Few Direct Problems / 1.8.4.1：
The Faber-Krahn Inequality / 1.8.4.2：
Inverse Problems / 1.8.4.3：
Heat / 1.8.5：
Eigenfunctions / 1.8.5.1：
Relations Between the Two Spectra / 1.8.6：
Heat and Waves in <$>{\op E}^3<$>, <$>{\op E}^d<$> and on the Sphere / 1.9：
Euclidean Spaces / 1.9.1：
Spheres / 1.9.2：
Billiards in Higher Dimensions / 1.9.3：
The Wave Equation Versus the Heat Equation / 1.9.4：
Transition / 2：
Surfaces from Gauß to Today / 3：
Gauß / 3.1：
Theorema Egregium / 3.1.1：
The First Proof of Gauß's Theorema Egregium; the Concept of ds2 / 3.1.1.1：
Second Proof of the Theorema Egregium / 3.1.1.2：
The Gauß-Bonnet Formula and the Rodrigues-Gauß Map / 3.1.2：
Parallel Transport / 3.1.3：
Inner Geometry / 3.1.4：
Alexandrov's Theorems / 3.2：
Angle Corrections of Legendre and Gauß in Geodesy / 3.2.1：
Cut Loci / 3.3：
Global Surface Theory / 3.4：
Bending Surfaces / 3.4.1：
Bending Polyhedra / 3.4.1.1：
Bending and Wrinkling with Little Smoothness / 3.4.1.2：
Mean Curvature Rigidity of the Sphere / 3.4.2：
Negatively Curved Surfaces / 3.4.3：
The Willmore Conjecture / 3.4.4：
The Global Gauß-Bonnet Theorem for Surfaces / 3.4.5：
The Hopf Index Formula / 3.4.6：
Riemann's Blueprints / 4：
Smooth Manifolds / 4.1：
Introduction / 4.1.1：
The Need for Abstract Manifolds / 4.1.2：
Examples / 4.1.3：
Submanifolds / 4.1.3.1：
Products / 4.1.3.2：
Lie Groups / 4.1.3.3：
Homogeneous Spaces / 4.1.3.4：
Grassmannians over Various Algebras / 4.1.3.5：
Gluing / 4.1.3.6：
The Classification of Manifolds / 4.1.4：
Surfaces / 4.1.4.1：
Higher Dimensions / 4.1.4.2：
Embedding Manifolds in Euclidean Space / 4.1.4.3：
Calculus on Manifolds / 4.2：
Tangent Spaces and the Tangent Bundle / 4.2.1：
Differential Forms and Exterior Calculus / 4.2.2：
Examples of Riemann's Definition / 4.3：
Riemann's Definition / 4.3.1：
Hyperbolic Geometry / 4.3.2：
Products, Coverings and Quotients / 4.3.3：
Coverings / 4.3.3.1：
Symmetric Spaces / 4.3.4：
Classification / 4.3.5.1：
Rank / 4.3.5.2：
Riemannian Submersions / 4.3.6：
Gluing and Surgery / 4.3.7：
Gluing of Hyperbolic Surfaces / 4.3.7.1：
Higher Dimensional Gluing / 4.3.7.2：
Classical Mechanics / 4.3.8：
The Riemann Curvature Tensor / 4.4：
Discovery and Definition / 4.4.1：
The Sectional Curvature / 4.4.2：
Standard Examples / 4.4.3：
Constant Sectional Curvature / 4.4.3.1：
Projective Spaces <$>{\op KP}^n<$> / 4.4.3.2：
Hypersurfaces in Euclidean Space / 4.4.3.3：
A Naive Question: Does the Curvature Determine the Metric? / 4.5：
Any Dimension / 4.5.1：
Abstract Riemannian Manifolds / 4.6：
Isometrically Embedding Surfaces in <$>{\op E}^3<$> / 4.6.1：
Local Isometric Embedding of Surfaces in <$>{\op E}^3<$> / 4.6.2：
Isometric Embedding in Higher Dimensions / 4.6.3：
A One Page Panorama / 5：
Metric Geometry and Curvature / 6：
First Metric Properties / 6.1：
Local Properties / 6.1.1：
Hopf-Rinow and de Rham Theorems / 6.1.2：
Convexity and Small Balls / 6.1.2.1：
Totally Geodesic Submanifolds / 6.1.4：
Center of Mass / 6.1.5：
Examples of Geodesics / 6.1.6：
First Technical Tools / 6.1.7：
Second Technical Tools / 6.3：
Exponential Map / 6.3.1：
Space Forms / 6.3.1.1：
Nonpositive Curvature / 6.3.3：
Triangle Comparison Theorems / 6.4：
Bounded Sectional Curvature / 6.4.1：
Ricci Lower Bound / 6.4.2：
Philosophy Behind These Bounds / 6.4.3：
Injectivity, Convexity Radius and Cut Locus / 6.5：
Definition of Cut Points and Injectivity Radius / 6.5.1：
Klingenberg and Cheeger Theorems / 6.5.2：
Convexity Radius / 6.5.3：
Cut Locus / 6.5.4：
Blaschke Manifolds / 6.5.5：
Geometric Hierarchy / 6.6：
The Geometric Hierarchy / 6.6.1：
Rank 1 Symmetric Spaces / 6.6.1.1：
Measure Isotropy / 6.6.1.3：
Negatively Curved Space Forms in Three and Higher Dimensions / 6.6.1.4：
Mostow Rigidity / 6.6.2.2：
Classification of Arithmetic and Nonarithmetic Negatively Curved Space Forms / 6.6.2.3：
Volumes of Negatively Curved Space Forms / 6.6.2.4：
Higher Rank Symmetric Spaces / 6.6.3：
Superrigidity / 6.6.4.1：
Volumes and Inequalities on Volumes of Cycles / 6.6.5：
Curvature Inequalities / 7.1：
Bounds on Volume Elements and First Applications / 7.1.1：
The Canonical Measure / 7.1.1.1：
Volumes of Standard Spaces / 7.1.1.2：
The Isoperimetric Inequality for Spheres / 7.1.1.3：
Sectional Curvature Upper Bounds / 7.1.1.4：
Ricci Curvature Lower Bounds / 7.1.1.5：
Isoperimetric Profile / 7.1.2：
Definition and Examples / 7.1.2.1：
The Gromov-Bérard-Besson-Gallot Bound / 7.1.2.2：
Nonpositive Curvature on Noncompact Manifolds / 7.1.2.3：
Curvature Free Inequalities on Volumes of Cycles / 7.2：
Curves in Surfaces / 7.2.1：
Loewner, Pu and Blatter-Bavard Theorems / 7.2.1.1：
Higher Genus Surfaces / 7.2.1.2：
The Sphere / 7.2.1.3：
Homological Systoles / 7.2.1.4：
Inequalities for Curves / 7.2.2：
The Problem, and Standard Manifolds / 7.2.2.1：
Filling Volume and Filling Radius / 7.2.2.2：
Gromov's Theorem and Sketch of the Proof / 7.2.2.3：
Higher Dimensional Systoles: Systolic Freedom Almost Everywhere / 7.2.3：
Embolic Inequalities / 7.2.4：
The Unit Tangent Bundle / 7.2.4.1：
The Core of the Proof / 7.2.4.3：
Croke's Three Results / 7.2.4.4：
Infinite Injectivity Radius / 7.2.4.5：
Using Embolic Inequalities / 7.2.4.6：
Transition: The Next Two Chapters / 8：
Spectral Geometry and Geodesic Dynamics / 8.1：
Why are Riemannian Manifolds So Important? / 8.2：
Positive Versus Negative Curvature / 8.3：
Spectrum of the Laplacian / 9：
History / 9.1：
Motivation / 9.2：
Setting Up / 9.3：
X definition / 9.3.1：
The Hodge Star / 9.3.2：
Facts / 9.3.3：
Heat, Wave and Schrodinger Equations / 9.3.4：
The Principle / 9.4：
An Application / 9.4.2：
Some Extreme Examples / 9.5：
Square Tori, Alias Several Variable Fourier Series / 9.5.1：
Other Flat Tori / 9.5.2：
<$>{\op KP}^n<$> / 9.5.3：
Other Space Forms / 9.5.5：
Current Questions / 9.6：
Direct Questions About the Spectrum / 9.6.1：
Direct Problems About the Eigenfunctions / 9.6.2：
Inverse Problems on the Spectrum / 9.6.3：
First Tools: The Heat Kernel and Heat Equation / 9.7：
The Main Result / 9.7.1：
Great Hopes / 9.7.2：
The Heat Kernel and Ricci Curvature / 9.7.3：
The Wave Equation: The Gaps / 9.8：
The Wave Equation: Spectrum & Geodesic Flow / 9.9：
The First Eigenvalue / 9.10：
λ1 and Ricci Curvature / 9.10.1：
Cheeger's Constant / 9.10.2：
λ1 and Volume; Surfaces and Multiplicity / 9.10.3：
Kähler Manifolds / 9.10.4：
Results on Eigenfunctions / 9.11：
Distribution of the Eigenfunctions / 9.11.1：
Volume of the Nodal Hypersurfaces / 9.11.2：
Distribution of the Nodal Hypersurfaces / 9.11.3：
The Nature of the Image / 9.12：
Inverse Problems: Nonuniqueness / 9.12.2：
Inverse Problems: Finiteness, Compactness / 9.12.3：
Uniqueness and Rigidity Results / 9.12.4：
Vignéras Surfaces / 9.12.4.1：
Special Cases / 9.13：
Riemann Surfaces / 9.13.1：
Scars / 9.13.2：
The Spectrum of Exterior Differential Forms / 9.14：
Geodesic Dynamics / 10：
Some Well Understood Examples / 10.1：
Surfaces of Revolution / 10.2.1：
Zoll Surfaces / 10.2.1.1：
Weinstein Surfaces / 10.2.1.2：
Ellipsoids and Morse Theory / 10.2.2：
Flat and Other Tori: Influence of the Fundamental Group / 10.2.3：
Flat Tori / 10.2.3.1：
Manifolds Which are not Simply Connected / 10.2.3.2：
Tori, not Flat / 10.2.3.3：
Euclidean Geometry / 1：
Preliminaries / 1.1：
Distance Geometry / 1.2：
43.

学位論文
学位
43. Study on single mode resonators using piezoelectric SrBi[2]Nb[2]O[9] based ceramics
by Akira Ando
出版情報: 東京 : 東京工業大学, 2003
所蔵情報: loading…
44.

図書
図書
44. Новая Российская энциклопедия (: [set] : Энциклопедия - т. 15 (2) : Энциклопедия)
[редакционная коллегия, главный редактор, А.Д. Некипелов ... и др.]
出版情報: Москва : Изд-во "Энциклопедия" : Издательский дом "ИНФРА-М", 2003-  v. ; 27 cm
所蔵情報: loading…
45.

図書
図書
45. Real time optimization by extremum seeking control
Kartik B. Ariyur, Miroslav Krstić
出版情報: Hoboken, N.J. : John Wiley, 2003  xi, 236 p. ; 24 cm.
所蔵情報: loading…
目次情報: 続きを見る
Preface
Theory / I：
SISO Scheme and Linear Analysis / 1：
Extremum Seeking for a Static Map / 1.1：
Single Parameter Extremum Seeking for Plants with Dynamics / 1.2：
Single Parameter LTV Stability Test / 1.2.1：
Single Parameter LTI Stability Test / 1.2.2：
Single Parameter Compensator Design / 1.2.3：
Single Parameter Example / 1.3：
Notes and References
Multiparameter Extremum Seeking / 2：
Output Extremization in Multiparameter Extremum Seeking / 2.1：
Multivariable LTV Stability Test / 2.1.1：
Multivariable LTI Stability Test / 2.1.2：
Multiparameter Design / 2.2：
Multiparameter Simulation Study / 2.3：
Step Variations in [theta]* (t) and f* (t) / 2.3.1：
General Variations in [theta]* (t) and f* (t) / 2.3.2：
Slope Seeking / 3：
Slope Seeking on a Static Map / 3.1：
General Single Parameter Slope Seeking / 3.2：
Compensator Design / 3.3：
Multiparameter Gradient Seeking / 3.4：
Discrete Time Extremum Seeking / 4：
Discrete-Time Extremum Seeking Control / 4.1：
Closed-Loop System / 4.2：
Stability Analysis / 4.3：
Example / 4.4：
Nonlinear Analysis / 5：
Extremum Seeking: Problem Statement / 5.1：
Extremum Seeking Scheme / 5.2：
Averaging Analysis / 5.3：
Singular Perturbation Analysis / 5.4：
Limit Cycle Minimization / 6：
Scheme for Limit Cycle Minimization / 6.1：
Van der Pol Example / 6.2：
Analysis / 6.3：
Applications / II：
Antilock Braking / 7：
Model of a Slipping Wheel / 7.1：
ABS via Extremum Seeking / 7.2：
Bioreactors / 8：
Dynamic Model of a Continuous Stirred Tank Reactor / 8.1：
Optimization Objective / 8.2：
Bifurcation Analysis of the Open-Loop System / 8.3：
Monod Model / 8.3.1：
Haldane Model / 8.3.2：
Extremum Seeking via the Dilution Rate / 8.4：
Feedback with Washout Filters for the Haldane Model / 8.4.1：
Control Design / 8.5.1：
Simulation Results / 8.5.2：
Formation Flight / 9：
Wingman Dynamics in Close Formation Flight / 9.1：
Wake Model / 9.1.1：
Forces and Moments on the Wingman in the Wake / 9.1.2：
Wingman Equilibrium in the Wake / 9.1.3：
Wingman Dynamics in the Wake / 9.1.4：
Formation-Hold Autopilot / 9.2：
Extremum Seeking Control of Formation Flight / 9.3：
Formulation as a Standard Extremum Seeking Problem / 9.3.1：
Extremum Seeking Design for Formation Flight / 9.3.2：
Simulation Study / 9.4：
Combustion Instabilities / 10：
Identification of Averaged Pressure Magnitude Dynamics / 10.1：
Controller Phase Tuning via Extremum-Seeking / 10.2：
Experiments with the Adaptive Algorithm / 10.3：
Instability Suppression during Engine Transient / 10.4：
Compressor Instabilities: Part I / 11：
Model Derivation / 11.1：
Equilibria in the [epsilon]-MG3 Model / 11.2：
Skewness / 11.3：
Open-Loop Bifurcation Diagrams / 11.4：
Pre-Control Analysis: Critical Slopes / 11.5：
Enforcing a Supercritical Bifurcation / 11.6：
Linearization at a Stall Equilibrium / 11.6.2：
Stability at the Bifurcation Point / 11.6.3：
Pressure Peak Seeking for the Surge Model / 11.7：
Peak Seeking for the Full Moore-Greitzer Model / 11.8：
Simulations for the Full MG Model / 11.9：
Compressor Instabilities: Part II / 12：
Extremum Seeking on the Caltech Rig / 12.1：
Actuation for Stall Stabilization / 12.1.1：
Filter Design / 12.1.2：
Experimental Results / 12.2：
Initial Point on the Axisymmetric Characteristic / 12.2.1：
Initial Point on the Nonaxisymmetric Characteristic / 12.2.2：
Near Optimal Compressor Operation via Slope Seeking / 12.3：
Appendices
Continuous Time Lemmas / A：
Discrete Time Lemmas / B：
Aircraft Dynamics in Close Formation Flight / C：
C-5 and Flight Condition Data / C.1：
Wake-Induced Velocity Field / C.2：
Free Flight Model Data / C.3：
Formation Flight Model: Influence Matrices / C.4：
Formation-Hold Autopilot Parameters / C.5：
Derivation of Equations (11.8) and (11.10) / D：
Derivation of the Critical Slopes / E：
Proof of Lemma 11.1 / F：
Bibliography
Index
Preface
Theory / I：
SISO Scheme and Linear Analysis / 1：
46.

図書
図書
46. Applied data mining : statistical methods for business and industry (: pbk)
Paolo Giudici
出版情報: Chichester : Wiley, c2003  xii, 364 p. ; 24 cm
所蔵情報: loading…
目次情報: 続きを見る
Preface
Introduction / 1：
Methodology / Part I：
What is data mining? / 2：
Organisation of the data
Exploratory data analysis / 1.1.1：
Data mining and computing
Computational data mining / 4：
Data mining and statistics / 5：
Statistical data mining
Evaluation of data mining methods / 1.2：
The data mining process
Business Cases / Part II：
Software for data mining / 7：
Market basket analysis
Web clickstream analysis / 1.4：
Organisation of the book
Profiling website visitors / 9：
Chapters 2 to 6: methodology / 10：
Customer relationship management
Credit scoring / 1.4.2：
Chapters 7 to 12: business cases
Forecasting television audience / 12：
Bibliography
Further reading
Index
From the data warehouse to the data marts / 2.1：
The data warehouse / 2.1.1：
The data webhouse / 2.1.2：
Data marts / 2.1.3：
Classification of the data / 2.2：
The data matrix / 2.3：
Binarisation of the data matrix / 2.3.1：
Frequency distributions / 2.4：
Univariate distributions / 2.4.1：
Multivariate distributions / 2.4.2：
Transformation of the data / 2.5：
Other data structures / 2.6：
Univariate exploratory analysis / 2.7：
Measures of location / 3.1.1：
Measures of variability / 3.1.2：
Measures of heterogeneity / 3.1.3：
Measures of concentration / 3.1.4：
Measures of asymmetry / 3.1.5：
Measures of kurtosis / 3.1.6：
Bivariate exploratory analysis / 3.2：
Multivariate exploratory analysis of quantitative data / 3.3：
Multivariate exploratory analysis of qualitative data / 3.4：
Independence and association / 3.4.1：
Distance measures / 3.4.2：
Dependency measures / 3.4.3：
Model-based measures / 3.4.4：
Reduction of dimensionality / 3.5：
Interpretation of the principal components / 3.5.1：
Application of the principal components / 3.5.2：
Measures of distance / 3.6：
Euclidean distance / 4.1.1：
Similarity measures / 4.1.2：
Multidimensional scaling / 4.1.3：
Cluster analysis / 4.2：
Hierarchical methods / 4.2.1：
Evaluation of hierarchical methods / 4.2.2：
Non-hierarchical methods / 4.2.3：
Linear regression / 4.3：
Bivariate linear regression / 4.3.1：
Properties of the residuals / 4.3.2：
Goodness of fit / 4.3.3：
Multiple linear regression / 4.3.4：
Logistic regression / 4.4：
Interpretation of logistic regression / 4.4.1：
Discriminant analysis / 4.4.2：
Tree models / 4.5：
Division criteria / 4.5.1：
Pruning / 4.5.2：
Neural networks / 4.6：
Architecture of a neural network / 4.6.1：
The multilayer perceptron / 4.6.2：
Kohonen networks / 4.6.3：
Nearest-neighbour models / 4.7：
Local models / 4.8：
Association rules / 4.8.1：
Retrieval by content / 4.8.2：
Uncertainty measures and inference / 4.9：
Probability / 5.1.1：
Statistical models / 5.1.2：
Statistical inference / 5.1.3：
Non-parametric modelling / 5.2：
The normal linear model / 5.3：
Main inferential results / 5.3.1：
Application / 5.3.2：
Generalised linear models / 5.4：
The exponential family / 5.4.1：
Definition of generalised linear models / 5.4.2：
The logistic regression model / 5.4.3：
Log-linear models / 5.4.4：
Construction of a log-linear model / 5.5.1：
Interpretation of a log-linear model / 5.5.2：
Graphical log-linear models / 5.5.3：
Log-linear model comparison / 5.5.4：
Graphical models / 5.5.5：
Symmetric graphical models / 5.6.1：
Recursive graphical models / 5.6.2：
Graphical models versus neural networks / 5.6.3：
Criteria based on statistical tests / 5.7：
Distance between statistical models / 6.1.1：
Discrepancy of a statistical model / 6.1.2：
The Kullback--Leibler discrepancy / 6.1.3：
Criteria based on scoring functions / 6.2：
Bayesian criteria / 6.3：
Computational criteria / 6.4：
Criteria based on loss functions / 6.5：
Business cases / 6.6：
Objectives of the analysis / 7.1：
Description of the data / 7.2：
Model building / 7.3：
Model comparison / 7.4.1：
Summary report / 7.6：
Sequence rules / 8.1：
Link analysis / 8.4.2：
Probabilistic expert systems / 8.4.3：
Markov chains / 8.4.4：
Exploratory analysis / 8.5：
Kohonen maps / 9.4：
Logistic regression models / 9.5：
Radial basis function networks / 10.4.2：
Classification tree models / 10.4.3：
Multilayer perceptron models / 10.4.4：
Preface
Introduction / 1：
Methodology / Part I：
47.

図書
図書
47. Hyperbolic conservation laws and the compensated compactness method
Yunguang Lu
出版情報: Boca Raton, Fla. : Chapman & Hall/CRC, c2003  xi, 241 p. ; 25 cm
シリーズ名: Chapman & Hall/CRC monographs and surveys in pure and applied mathematics ; 128
所蔵情報: loading…
目次情報: 続きを見る
Preface
Preliminary / 1：
Theory of Compensated Compactness / 2：
Weak Continuity of a 2 x 2 Determinant / 2.1：
Measure Representation Theorems / 2.2：
Embedding Theorems / 2.3：
Cauchy Problem for Scalar Equation / 3：
L[superscript infinity] Solution / 3.1：
L[superscript p] Solution, 1 < p < [infinity] / 3.2：
Related Results / 3.3：
Preliminaries in 2 x 2 Hyperbolic System / 4：
Basic Definitions / 4.1：
L[superscript infinity] Estimate of Viscosity Solutions / 4.2：
A Symmetry System / 5：
Viscosity Solutions / 5.1：
A System of Quadratic Flux / 5.2：
Existence of Viscosity Solutions / 6.1：
Entropy-Entropy Flux Pairs of Lax Type / 6.2：
Compactness of [eta subscript t] + q[subscript x] in H[superscript -1 subscript loc] / 6.3：
Reduction of v / 6.4：
Le Roux System / 6.5：
Existence of Weak Solutions / 7.1：
System of Polytropic Gas Dynamics / 7.5：
Weak Entropies and H[superscript -1 subscript loc] Compactness / 8.1：
The Case of [gamma] > 3 / 8.3：
The Case of 1 < [gamma] [less than or equal] 3 / 8.4：
Application on Extended River Flow System / 8.5：
Two Special Systems of Euler Equations / 8.6：
Lax Entropy for P([rho]) = [function of superscript rho subscript 0 s superscript 2]e[superscript s]ds / 9.1：
Lax Entropy for P([rho]) = [function of superscript rho subscript 0 s superscript 2](s + d)[superscript gamma-3]ds / 9.3：
General Euler Equations of Compressible Fluid Flow / 9.4：
Lax Entropy and Related Estimates / 10.1：
Extended Systems of Elasticity / 10.3：
L[superscript p] Case to Systems of Elasticity / 11.1：
Lin's Proof for Artificial Viscosity / 12.1：
Shearer's Proof for Physical Viscosity / 12.2：
System of Adiabatic Gas Flow / 12.3：
Preliminaries in Relaxation Singularity / 12.4：
Stiff Relaxation and Dominant Diffusion / 14：
Compactness Results / 14.1：
Proof of Theorem 14.1.1 / 14.2：
Applications of Theorem 14.1.1 / 14.3：
Proof of Theorem 14.1.2 / 14.4：
Applications of Theorem 14.1.2 / 14.5：
Hyperbolic Systems with Stiff Relaxation / 14.6：
Relaxation Limits for 2 x 2 Systems / 15.1：
System of Extended Traffic Flows / 15.2：
Relaxation for 3 x 3 Systems / 15.3：
Dominant Diffusion and Stiff Relaxation / 16.1：
A Model System for Reacting Flow / 16.2：
Bibliography / 16.3：
Index
Preface
Preliminary / 1：
Theory of Compensated Compactness / 2：
48.

図書
図書
48. Microarrays for an integrative genomics
Isaac S. Kohane, Alvin T. Kho, and Atul J. Butte
出版情報: Cambridge, Mass. ; London : MIT Press, c2003  xviii, 306 p ; 24 cm
シリーズ名: Computational molecular biology
所蔵情報: loading…
目次情報: 続きを見る
Foreword
Preface
Acknowledgments
Introduction / 1：
The Future Is So Bright... / 1.1：
Functional Genomics / 1.2：
Informatics and advances in enabling technology / 1.2.1：
Why do we need new techniques? / 1.2.2：
Missing the Forest for the Dendrograms / 1.3：
Sociology of a functional genomics pipeline / 1.3.1：
Functional Genomics, Not Genetics / 1.4：
In silico analysis will never substitute for in vitro and in vivo / 1.4.1：
Basic Biology / 1.5：
Biological caveats in mRNA measurements / 1.5.1：
Sequence-level genomics / 1.5.2：
Proteomics / 1.5.3：
Experimental Design / 2：
The Safe Conception of a Functional Genomic Experiment / 2.1：
Experiment design space / 2.1.1：
Expression space / 2.1.2：
Exercising the expression space / 2.1.3：
Discarding data and low-hanging fruit / 2.1.4：
Gene-Clustering Dogma / 2.2：
Supervised versus unsupervised learning / 2.2.1：
Figure of merit: The elusive gold standard in functional genomics / 2.2.2：
Microarray Measurements to Analyses / 3：
Generic Features of Microarray Technologies / 3.1：
Robotically spotted microarrays / 3.1.1：
Oligonucleotide microarrays / 3.1.2：
Replicate Experiments, Reproducibility, and Noise / 3.2：
What is a replicate experiment? A reproducible experimental outcome? / 3.2.1：
Reproducibility across repeated microarray experiments: Absolute expression level and fold difference / 3.2.2：
Cross-platform (technology) reproducibility / 3.2.3：
Pooling sample probes and PCR for replicate experiments / 3.2.4：
What is noise? / 3.2.5：
Sources and examples of noise in the generic microarray experiment / 3.2.6：
Biological variation as noise: The Human Genome Project and irreproducibility of expression measurements / 3.2.7：
Managing noise / 3.2.8：
Prototypical Objectives and Questions / 3.3：
Two examples: Inter-array and intra-array / 3.3.1：
Preprocessing: Filters and Normalization / 3.4：
Normalization / 3.4.1：
Background on Fold / 3.5：
Fold calculation and significance / 3.5.1：
Fold change may not mean the same thing in different expression measurement technologies / 3.5.2：
Dissimilarity and Similarity Measures / 3.6：
Linear correlation / 3.6.1：
Entropy and mutual information / 3.6.2：
Dynamics / 3.6.3：
Genomic Data-Mining Techniques / 4：
What Can Be Clustered in Functional Genomics? / 4.1：
What Does it Mean to Cluster? / 4.3：
Hierarchy of Bioinformatics Algorithms / 4.4：
Data Reduction and Filtering / 4.5：
Variation filter / 4.5.1：
Low entropy filter / 4.5.2：
Minimum expression level filter / 4.5.3：
Target ambiguity filter / 4.5.4：
Self-Organizing Maps / 4.6：
K-means clustering / 4.6.1：
Finding Genes That Split Sets / 4.7：
Phylogenetic-Type Trees / 4.8：
Two-dimensional dendrograms / 4.8.1：
Relevance Networks / 4.9：
Other Methods / 4.10：
Which Technique Should I Use? / 4.11：
Determining the Significance of Findings / 4.12：
Permutation testing / 4.12.1：
Testing and training sets / 4.12.2：
Performance metrics / 4.12.3：
Receiver operating characteristic curves / 4.12.4：
Genetic Networks / 4.13：
What is a genetic network? / 4.13.1：
Reverse-engineering and modeling a genetic network using limited data / 4.13.2：
Bayesian networks for functional genomics / 4.13.3：
Bio-Ontologies, Data Models, Nomenclature / 5：
Ontologies / 5.1：
Bio-ontology projects / 5.1.1：
Advanced knowledge representation systems for bio-ontology / 5.1.2：
Expressivity versus Computability / 5.2：
Ontology versus Data Model versus Nomenclature / 5.3：
Exploiting the explicit and implicit ontologies of the biomedical literature / 5.3.1：
Data Model Introduction / 5.4：
Nomenclature / 5.5：
The unique gene identifier / 5.5.1：
Postanalysis Challenges / 5.6：
Linking to downstream biological validation / 5.6.1：
Problems in determining the results / 5.6.2：
From Functional Genomics to Clinical Relevance / 6：
Electronic Medical Records / 6.1：
Standardized Vocabularies for Clinical Phenotypes / 6.2：
Privacy of Clinical Data / 6.3：
Anonymization / 6.3.1：
Privacy rules / 6.3.2：
Costs of Clinical Data Acquisition / 6.4：
The Near Future / 7：
New Methods for Gene Expression Profiling / 7.1：
Electronic positioning of molecules: Nanogen / 7.1.1：
Ink-jet spotting of arrays: Agilent / 7.1.2：
Coded microbeads bound to oligonucleotides: Illumina / 7.1.3：
Serial Analysis of Gene Expression (SAGE) / 7.1.4：
Parallel signature sequencing on microbead arrays: Lynx / 7.1.5：
Gel pad technology: Motorola / 7.1.6：
Respecting the Older Generation / 7.2：
The generation gap / 7.2.1：
Separating the wheat from the chaff / 7.2.2：
A persistent problem / 7.2.3：
Selecting Software / 7.3：
Investing in the Future of the Genomic Enterprise / 7.4：
Glossary
Foreword
Preface
Acknowledgments
49.

図書
図書
49. Geometry and physics of branes
edited by Ugo Bruzzo, Vittorio Gorini and Ugo Moschella
出版情報: Bristol ; Philadelphia : Institute of Physics Pub., c2003  x, 282 p. ; 25 cm
シリーズ名: Studies in high energy physics, cosmology and gravitation
所蔵情報: loading…
目次情報: 続きを見る
Preface
An elementary introduction to branes in string theory / Alberto LerdaPart 1：
Introduction / 1：
Branes in string theory / 2：
The superstring effective actions of type II / 2.1：
Type IIA / 2.1.1：
Type IIB / 2.1.2：
General construction / 2.2：
Explicit solutions / 2.3：
Fundamental string / 2.3.1：
NS 5-brane / 2.3.2：
D p-branes / 2.3.3：
The geometry of the D3-brane of type IIB / 2.3.4：
The boundary state description of D-branes / 3：
The boundary state with an external field / 3.1：
The effective action of D-branes / 4：
Classical D-branes from the boundary state / 5：
References
Physical aspects / Yassen Stanev ; Cesar Gomez ; Pedro RescoPart 2：
Two-dimensional conformal field theory on open and unoriented surfaces / 6：
General properties of two-dimensional CFT / 6.1：
The stress-energy tensor in two dimensions / 6.2.1：
Rational conformal field theories / 6.2.2：
Non-Abelian conformal current algebras / 6.2.3：
Partition function, modular invariance / 6.2.4：
Correlation functions in current algebra models / 6.3：
Properties of the chiral conformal blocks / 6.3.1：
Regular basis of 4-point functions in the SU (2) model / 6.3.2：
Matrix representation of the exchange algebra / 6.3.3：
Two-dimensional braid invariant Green functions / 6.3.4：
CFT on surfaces with holes and crosscaps / 6.4：
Open sector, sewing constraints / 6.4.1：
Closed unoriented sector, crosscap constraint / 6.4.2：
Partition functions / 6.5：
Klein bottle projection / 6.5.1：
Annulus partition function / 6.5.2：
Mobius strip projection / 6.5.3：
Solutions for the partition functions / 6.5.4：
Acknowledgments
Topics in string tachyon dynamics / 7：
Why tachyons? / 7.1：
Tachyons in AdS: The c = 1 barrier / 7.3：
Tachyon [sigma]-model beta-functions / 7.4：
Open strings and cosmological constant: the Fischler-Susskind mechanism / 7.5：
Fischler-Susskind mechanism: closed-string case / 7.5.1：
Open-string contribution to the cosmological constant: the filling brane / 7.5.2：
The effective action / 7.6：
A warming-up exercise / 7.6.1：
Non-critical dimension and tachyon condensation / 7.6.2：
D-branes, tachyon condensation and K-theory / 7.7：
Extended objects and topological stability / 7.7.1：
A gauge theory analogue for D-branes in type II strings / 7.7.2：
K-theory version of Sen's conjecture / 7.7.3：
Type IIA strings / 7.7.4：
Some final comments on gauge theories / 7.8：
Mathematical developments / Kenji Fukaya ; Antonella Grassi ; Michele RossiPart 3：
Deformation theory, homological algebra and mirror symmetry / 8：
Classical deformation theory / 8.1：
Holomorphic structure on vector bundles / 8.2.1：
Families of holomorphic structures on vector bundles / 8.2.2：
Cohomology and deformations / 8.2.3：
Bundle valued harmonic forms / 8.2.4：
Construction of a versal family and Feynman diagrams / 8.2.5：
The Kuranishi family / 8.2.6：
Formal deformations / 8.2.7：
Homological algebra and deformation theory / 8.3：
Homotopy theory of A[subscript infinity] and L[subscript infinity] algebras / 8.3.1：
Maurer-Cartan equation and moduli functors / 8.3.2：
Canonical model, Kuranishi map and moduli space / 8.3.3：
Superspace and odd vector fields--an alternative formulation of L[subscript infinity] algebras / 8.3.4：
Application to mirror symmetry / 8.4：
Novikov rings and filtered A[subscript infinity], L[subscript infinity] algebras / 8.4.1：
Review of a part of global symplectic geometry / 8.4.2：
From Lagrangian submanifold to A[subscript infinity] algebra / 8.4.3：
Maurer-Cartan equation for filtered A[subscript infinity] algebras / 8.4.4：
Homological mirror symmetry / 8.4.5：
Large N dualities and transitions in geometry / 9：
Geometry and topology of transitions / 9.1：
The local topology of a conifold transition / 9.1.1：
Transitions of Calabi-Yau threefolds / 9.1.2：
Transitions and mirror symmetry / 9.1.3：
Transitions, black holes etc / 9.1.4：
Chern-Simons theory / 9.2：
Chern-Simons' form and action / 9.2.1：
The Hamiltonian formulation of the Chern-Simons QFT (following Witten's canonical quantization) / 9.2.2：
Computability and link invariants / 9.2.3：
The Gopakumar-Vafa conjecture / 9.3：
Matching the free energies / 9.3.1：
The matching of expectation values / 9.3.2：
Lifting to M-theory / 9.4：
Riemannian Holonomy, G[subscript 2] manifolds and Calabi-Yau, revisited / 9.4.1：
The geometry / 9.4.2：
Branes and M-theory lifts / 9.4.3：
M-theory lift and M-theory flop / 9.4.4：
Appendix: Some notation on singularities and their resolutions / 9.5：
Appendix: More on the Greene-Plesser construction / 9.6：
Appendix: More on transitions in superstring theory / 9.7：
Appendix: Principal bundles, connections etc / 9.8：
Appendix: More on Witten's open-string theory interpretation of QFT / 9.9：
Index
Preface
An elementary introduction to branes in string theory / Alberto LerdaPart 1：
Introduction / 1：
50.

図書
図書
50. Finite element methods for Maxwell's equations
Peter Monk
出版情報: Oxford : Clarendon Press, 2003  xiv, 450 p ; 24 cm
シリーズ名: Numerical mathematics and scientific computation
所蔵情報: loading…
目次情報: 続きを見る
Mathematical models of electromagnetism / 1：
Introduction / 1.1：
Maxwell's equations / 1.2：
Constitutive equations for linear media / 1.2.1：
Interface and boundary conditions / 1.2.2：
Scattering problems and the radiation condition / 1.3：
Boundary value problems / 1.4：
Time-harmonic problem in a cavity / 1.4.1：
Cavity resonator / 1.4.2：
Scattering from a bounded object / 1.4.3：
Scattering from a buried object / 1.4.4：
Functional analysis and abstract error estimates / 2：
Basic functional analysis and the Fredholm alternative / 2.1：
Hilbert space / 2.2.1：
Linear operators and duality / 2.2.2：
Variational problems / 2.2.3：
Compactness and the Fredholm alternative / 2.2.4：
Hilbert-Schmidt theory of eigenvalues / 2.2.5：
Abstract finite element convergence theory / 2.3：
Cea's lemma / 2.3.1：
Discrete mixed problems / 2.3.2：
Convergence of collectively compact operators / 2.3.3：
Eigenvalue estimates / 2.3.4：
Sobolev spaces, vector function spaces and regularity / 3：
Standard Sobolev spaces / 3.1：
Trace spaces / 3.2.1：
Regularity results for elliptic equations / 3.3：
Differential operators on a surface / 3.4：
Vector functions with well-defined curl or divergence / 3.5：
Integral identities / 3.5.1：
Properties of H(div; [Omega]) / 3.5.2：
Properties of H(curl; [Omega]) / 3.5.3：
Scalar and vector potentials / 3.6：
The Helmholtz decomposition / 3.7：
A function space for the impedance problem / 3.8：
Curl or divergence conserving transformations / 3.9：
Variational theory for the cavity problem / 4：
Assumptions on the coefficients and data / 4.1：
The space X and the nullspace of the curl / 4.3：
Helmholtz decomposition / 4.4：
Compactness properties of X[subscript 0] / 4.4.1：
The variational problem as an operator equation / 4.5：
Uniqueness of the solution / 4.6：
Cavity eigenvalues and resonances / 4.7：
Finite elements on tetrahedra / 5：
Introduction to finite elements / 5.1：
Sets of polynomials / 5.2.1：
Meshes and affine maps / 5.3：
Divergence conforming elements / 5.4：
The curl conforming edge elements of Nedelec / 5.5：
Linear edge element / 5.5.1：
Quadratic edge elements / 5.5.2：
H[superscript 1]([Omega]) conforming finite elements / 5.6：
The Clement interpolant / 5.6.1：
An L[superscript 2]([Omega]) conforming space / 5.7：
Boundary spaces / 5.8：
Finite elements on hexahedra / 6：
Divergence conforming elements on hexahedra / 6.1：
Curl conforming hexahedral elements / 6.3：
H[superscript 1]([Omega]) conforming elements on hexahedra / 6.4：
An L[superscript 2]([Omega]) conforming space and a boundary space / 6.5：
Finite element methods for the cavity problem / 7：
Error analysis via duality / 7.1：
The discrete Helmholtz decomposition / 7.2.1：
Preliminary error analysis / 7.2.2：
Duality estimate / 7.2.3：
Error analysis via collective compactness / 7.3：
Pointwise convergence / 7.3.1：
Collective compactness / 7.3.2：
Numerical results for the cavity problem / 7.3.3：
The ellipticized Maxwell system / 7.4：
Discrete ellipticized variational problem / 7.4.1：
The discrete eigenvalue problem / 7.5：
Topics concerning finite elements / 8：
The second family of elements on tetrahedra / 8.1：
Divergence conforming element / 8.2.1：
Curl conforming element / 8.2.2：
Scalar functions and the de Rham diagram / 8.2.3：
Curved domains / 8.3：
Locally mapped tetrahedral meshes / 8.3.1：
Large-element fitting of domains / 8.3.2：
hp finite elements / 8.4：
H[superscript 1]([Omega]) conforming hp element / 8.4.1：
hp curl conforming elements / 8.4.2：
hp divergence conforming space / 8.4.3：
de Rham diagram for hp elements / 8.4.4：
Classical scattering theory / 9：
Basic integral identities / 9.1：
Scattering by a sphere / 9.3：
Spherical harmonics / 9.3.1：
Spherical Bessel functions / 9.3.2：
Series solution of the exterior Maxwell problem / 9.3.3：
Electromagnetic Calderon operators / 9.4：
The electric-to-magnetic Calderon operator / 9.4.1：
The magnetic-to-electric Calderon operator / 9.4.2：
Scattering of a plane wave by a sphere / 9.5：
Uniqueness and Rellich's lemma / 9.5.1：
Series solution / 9.5.2：
The scattering problem using Calderon maps / 10：
Reduction to a bounded domain / 10.1：
Analysis of the reduced problem / 10.3：
Extended Helmholtz decomposition / 10.3.1：
An operator equation on X[subscript 0] / 10.3.2：
The discrete problem / 10.4：
Scattering by a bounded inhomogeneity / 11：
Derivation of the domain-decomposed problem / 11.1：
The finite-dimensional problem / 11.3：
Analysis of the interior finite element problem / 11.4：
Error estimates for the fully discrete problem / 11.5：
Scattering by a buried object / 12：
Homogeneous isotropic background / 12.1：
Analysis of the scheme / 12.2.1：
The fully discrete problem / 12.2.2：
Computational considerations / 12.2.3：
Perfectly conducting half space / 12.3：
Layered medium / 12.4：
Incident plane waves / 12.4.1：
The dyadic Green's function / 12.4.2：
Algorithmic development / 12.4.3：
Solution of the linear system / 13.1：
Phase error in finite element methods / 13.3：
Wavenumber dependent error estimates / 13.3.1：
Phase error in three dimensional edge elements / 13.3.2：
A posteriori error estimation / 13.4：
A residual-based error estimator / 13.4.1：
Numerical experiments / 13.4.2：
Absorbing boundary conditions / 13.5：
Silver-Muller absorbing boundary condition / 13.5.1：
Infinite element method / 13.5.2：
The perfectly matched layer / 13.5.3：
Far field recovery / 13.6：
Inverse problems / 14：
The linear sampling method / 14.1：
Implementing the LSM / 14.2.1：
Numerical results with the LSM / 14.2.2：
Mathematical aspects of inverse scattering / 14.3：
Uniqueness for the inverse problem / 14.3.1：
Herglotz wave functions / 14.3.2：
The far field operators F and B / 14.3.3：
Mathematical justification of the LSM / 14.3.4：
Appendices
Coordinate systems / A：
Cartesian coordinates / A.1：
Spherical coordinates / A.2：
Vector and differential identities / B：
Vector identities / B.1：
Differential identities / B.2：
Differential identities on a surface / B.3：
References
Index
Mathematical models of electromagnetism / 1：
Introduction / 1.1：
Maxwell's equations / 1.2：
文献の複写および貸借の依頼を行う
 文献複写・貸借依頼