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1.

電子ブック
ＥＢ
1. Constructing Correct Software
John Cooke
出版情報: Springer eBooks Computer Science , Springer London, 2005
所蔵情報: loading…
目次情報: 続きを見る
Abridged Preface to First Edition
Preface to Second Edition
Introduction / 0：
What Is this Book About? / 0.1：
Some Terminology / 0.2：
How Might Programs Fail? / 0.3：
A Way Forward / 0.4：
On Mathematics / 0.5：
Linking Paradigms / 0.6：
Problem Solving / 0.7：
The Book Plan / 0.8：
Preliminaries / Part A：
The Technical Background / 1：
Functions, Relations and Specifications / 1.0：
Summary of Features / 1.1.1：
Guidelines for Specifications / 1.1.2：
Equational Reasoning and Types / 1.2：
The Origin and Application of Rules / 1.3：
Data Types / 1.4：
A Glimpse at the Integers / 1.4.1：
Logical Types / 1.4.2：
The Boolean Type, IB / 1.4.2.1：
Implication and Deduction / 1.4.2.2：
Boolean Quantifiers / 1.4.2.3：
Extended (3-valued) Logic / 1.4.2.4：
Sets / 1.4.3：
Integers / 1.4.4：
Inequalities / 1.4.4.1：
Bags / 1.4.5：
Lists / 1.4.6：
Records and n-tuples / 1.4.7：
Union Types / 1.4.8：
Sub-types and Sub-ranges / 1.4.9：
Type Transfer Functions and Casts / 1.4.10：
Data Types and Transformations / 1.4.11：
On Quantification / 1.4.12：
Applying Unfold/Fold Transformations / 1.5：
On Programming / 2：
Overview / 2.0：
Procedural Programming / 2.1：
'Good' Programming / 2.2：
Structuring and (control) Flowcharts / 2.3：
PDL Overview / 2.4：
"Let" and "Where" / 2.4.1：
Scope and Parameters / 2.4.2：
Comments and Assertions / 2.5：
Verification of Procedural Programs / 2.6：
Sequencing / 2.6.1：
Alternation / 2.6.2：
Iteration / 2.6.3：
Program Derivation / 2.7：
Fundamentals / Part B：
Algorithm Extraction / 3：
On Converging Recursion / 3.0：
Design Tactics / 3.2：
Checking Perceived Answers / 3.2.1：
Problem Reduction / 3.2.2：
Problem Decomposition / 3.2.3：
Structural Splitting / 3.2.3.1：
Predicated Splitting / 3.2.3.2：
Mixed Strategies / 3.2.3.3：
Domain Partitioning / 3.2.3.4：
The Use of Analogy / 3.2.4：
'Eureka' Processes / 3.3：
Summary
Recursion Removal / 4：
Tail Recursion / 4.1：
Associative Recursion / 4.2：
Up and Down Iteration / 4.3：
Speeding up Iteratons / 4.4：
Recursive Procedures / 4.5：
Quantifications / 5：
Defining Composite Values / 5.0：
Derived Composite Values / 5.2：
1-place Functions / 5.2.1：
2-place Functions / 5.2.2：
Application to Program Development / 5.3：
An Extended Example: The Factorial Function / 5.3.1：
Some Rules for Quantifications / 5.4：
General Rules / 5.4.1：
Special Rules for Logical Quantifiers / 5.4.2：
Refinement and Re-use / 6：
Operational Refinement / 6.1：
On Correctness / 6.1.1：
Some Properties of Design Refinement / 6.1.2：
An Alternative View / 6.1.3：
Re-using Designs / 6.2：
Developments / Part C：
Sorting / 7：
Specification and Initial Discussion / 7.1：
Initial Designs / 7.2：
Predicated Splitting (Partitioning) / 7.2.1：
Complete Designs / 7.3：
Exchange Sorts / 7.3.1：
Merge Sorts / 7.3.2：
The Basic Merge Sort / 7.3.2.1：
Partition Sorts / 7.3.3：
Simple Partition Sort / 7.3.3.1：
A Quick Design / 7.4：
Data Refinement / 8：
On 'Internal' Data Types / 8.1：
Changing Data Types / 8.2：
Where to next? / 8.3：
Sorting Revisited / 9：
Variants of the Merge Sort / 9.1：
Failures and Fixes / 9.3：
Inadequate Pre-Conditions / 10.1：
Failures in Structural Splitting / 10.2：
Loss of Vital Information / 10.2.1：
Further Examples / 11：
The 2-D Convex Hull / 11.1：
Topological Sort / 11.2：
Experimentation / 11.2.1：
A Proper Formulation / 11.2.2：
Some 'Extremal' Problems / 11.3：
On Interactive Software / 12：
Specifications Involving Change / 12.1：
Specifications of Input/Output / 12.1.1：
Conventional Communications / 12.1.2：
The Enabling of Computations / 12.1.3：
Pertaining to (Software) Systems / 12.2：
System Requirements / 12.2.1：
Specifying Systems / 12.2.2：
Transformation Digest / Appendix：
Re-write Rule Conventions / A.0：
Data Manipulation Rules / A.1：
The Type IB / A.1.1：
Extended Logic and Conditional Expressions / A.1.2：
Common Conversion Functions / A.1.3：
Quantifier Rules / A.1.8：
Quantifier Properties / A.2：
'Not Occurs in' / A.3：
On PDL Structure / A.4：
PDL Transformation Rules / A.4.1：
Bibliography
Index
Abridged Preface to First Edition
Preface to Second Edition
Introduction / 0：
2.

電子ブック
ＥＢ
2. Constructing Correct Software
John Cooke
出版情報: SpringerLink Books - AutoHoldings , Springer London, 2005
所蔵情報: loading…
目次情報: 続きを見る
Abridged Preface to First Edition
Preface to Second Edition
Introduction / 0：
What Is this Book About? / 0.1：
Some Terminology / 0.2：
How Might Programs Fail? / 0.3：
A Way Forward / 0.4：
On Mathematics / 0.5：
Linking Paradigms / 0.6：
Problem Solving / 0.7：
The Book Plan / 0.8：
Preliminaries / Part A：
The Technical Background / 1：
Functions, Relations and Specifications / 1.0：
Summary of Features / 1.1.1：
Guidelines for Specifications / 1.1.2：
Equational Reasoning and Types / 1.2：
The Origin and Application of Rules / 1.3：
Data Types / 1.4：
A Glimpse at the Integers / 1.4.1：
Logical Types / 1.4.2：
The Boolean Type, IB / 1.4.2.1：
Implication and Deduction / 1.4.2.2：
Boolean Quantifiers / 1.4.2.3：
Extended (3-valued) Logic / 1.4.2.4：
Sets / 1.4.3：
Integers / 1.4.4：
Inequalities / 1.4.4.1：
Bags / 1.4.5：
Lists / 1.4.6：
Records and n-tuples / 1.4.7：
Union Types / 1.4.8：
Sub-types and Sub-ranges / 1.4.9：
Type Transfer Functions and Casts / 1.4.10：
Data Types and Transformations / 1.4.11：
On Quantification / 1.4.12：
Applying Unfold/Fold Transformations / 1.5：
On Programming / 2：
Overview / 2.0：
Procedural Programming / 2.1：
'Good' Programming / 2.2：
Structuring and (control) Flowcharts / 2.3：
PDL Overview / 2.4：
"Let" and "Where" / 2.4.1：
Scope and Parameters / 2.4.2：
Comments and Assertions / 2.5：
Verification of Procedural Programs / 2.6：
Sequencing / 2.6.1：
Alternation / 2.6.2：
Iteration / 2.6.3：
Program Derivation / 2.7：
Fundamentals / Part B：
Algorithm Extraction / 3：
On Converging Recursion / 3.0：
Design Tactics / 3.2：
Checking Perceived Answers / 3.2.1：
Problem Reduction / 3.2.2：
Problem Decomposition / 3.2.3：
Structural Splitting / 3.2.3.1：
Predicated Splitting / 3.2.3.2：
Mixed Strategies / 3.2.3.3：
Domain Partitioning / 3.2.3.4：
The Use of Analogy / 3.2.4：
'Eureka' Processes / 3.3：
Summary
Recursion Removal / 4：
Tail Recursion / 4.1：
Associative Recursion / 4.2：
Up and Down Iteration / 4.3：
Speeding up Iteratons / 4.4：
Recursive Procedures / 4.5：
Quantifications / 5：
Defining Composite Values / 5.0：
Derived Composite Values / 5.2：
1-place Functions / 5.2.1：
2-place Functions / 5.2.2：
Application to Program Development / 5.3：
An Extended Example: The Factorial Function / 5.3.1：
Some Rules for Quantifications / 5.4：
General Rules / 5.4.1：
Special Rules for Logical Quantifiers / 5.4.2：
Refinement and Re-use / 6：
Operational Refinement / 6.1：
On Correctness / 6.1.1：
Some Properties of Design Refinement / 6.1.2：
An Alternative View / 6.1.3：
Re-using Designs / 6.2：
Developments / Part C：
Sorting / 7：
Specification and Initial Discussion / 7.1：
Initial Designs / 7.2：
Predicated Splitting (Partitioning) / 7.2.1：
Complete Designs / 7.3：
Exchange Sorts / 7.3.1：
Merge Sorts / 7.3.2：
The Basic Merge Sort / 7.3.2.1：
Partition Sorts / 7.3.3：
Simple Partition Sort / 7.3.3.1：
A Quick Design / 7.4：
Data Refinement / 8：
On 'Internal' Data Types / 8.1：
Changing Data Types / 8.2：
Where to next? / 8.3：
Sorting Revisited / 9：
Variants of the Merge Sort / 9.1：
Failures and Fixes / 9.3：
Inadequate Pre-Conditions / 10.1：
Failures in Structural Splitting / 10.2：
Loss of Vital Information / 10.2.1：
Further Examples / 11：
The 2-D Convex Hull / 11.1：
Topological Sort / 11.2：
Experimentation / 11.2.1：
A Proper Formulation / 11.2.2：
Some 'Extremal' Problems / 11.3：
On Interactive Software / 12：
Specifications Involving Change / 12.1：
Specifications of Input/Output / 12.1.1：
Conventional Communications / 12.1.2：
The Enabling of Computations / 12.1.3：
Pertaining to (Software) Systems / 12.2：
System Requirements / 12.2.1：
Specifying Systems / 12.2.2：
Transformation Digest / Appendix：
Re-write Rule Conventions / A.0：
Data Manipulation Rules / A.1：
The Type IB / A.1.1：
Extended Logic and Conditional Expressions / A.1.2：
Common Conversion Functions / A.1.3：
Quantifier Rules / A.1.8：
Quantifier Properties / A.2：
'Not Occurs in' / A.3：
On PDL Structure / A.4：
PDL Transformation Rules / A.4.1：
Bibliography
Index
Abridged Preface to First Edition
Preface to Second Edition
Introduction / 0：
3.

電子ブック
ＥＢ
3. Differential Evolution
Kenneth V. Price, Th B?ck, Jouni A. Lampinen, Rainer M. Storn
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2005
所蔵情報: loading…
目次情報: 続きを見る
Preface
Table of Contents
The Motivation for Differential Evolution / 1：
Introduction to Parameter Optimization / 1.1：
Overview / 1.1.1：
Single-Point, Derivative-Based Optimization / 1.1.2：
One-Point, Derivative-Free Optimization and the Step Size Problem / 1.1.3：
Local Versus Global Optimization / 1.2：
Simulated Annealing / 1.2.1：
Multi-Point, Derivative-Based Methods / 1.2.2：
Multi-Point, Derivative-Free Methods / 1.2.3：
Differential Evolution - A First Impression / 1.2.4：
References
The Differential Evolution Algorithm / 2：
Population Structure / 2.1：
Initialization / 2.1.2：
Mutation / 2.1.3：
Crossover / 2.1.4：
Selection / 2.1.5：
DE at a Glance / 2.1.6：
Visualizing DE / 2.1.7：
Notation / 2.1.8：
Parameter Representation / 2.2：
Bit Strings / 2.2.1：
Floating-Point / 2.2.2：
Floating-Point Constraints / 2.2.3：
Initial Bounds / 2.3：
Initial Distributions / 2.3.2：
Base Vector Selection / 2.4：
Choosing the Base Vector Index, r0 / 2.4.1：
One-to-One Base Vector Selection / 2.4.2：
A Comparison of Random Base Index Selection Methods / 2.4.3：
Degenerate Vector Combinations / 2.4.4：
Implementing Mutually Exclusive Indices / 2.4.5：
Gauging the Effects of Degenerate Combinations: The Sphere / 2.4.6：
Biased Base Vector Selection Schemes / 2.4.7：
Differential Mutation / 2.5：
The Mutation Scale Factor: F / 2.5.1：
Randomizing the Scale Factor / 2.5.2：
Recombination / 2.6：
The Role of Cr in Optimization / 2.6.1：
Arithmetic Recombination / 2.6.3：
Phase Portraits / 2.6.4：
The Either/Or Algorithm / 2.6.5：
Survival Criteria / 2.7：
Tournament Selection / 2.7.2：
One-to-One Survivor Selection / 2.7.3：
Local Versus Global Selection / 2.7.4：
Permutation Selection Invariance / 2.7.5：
Crossover-Dependent Selection Pressure / 2.7.6：
Parallel Performance / 2.7.7：
Extensions / 2.7.8：
Termination Criteria / 2.8：
Objective Met / 2.8.1：
Limit the Number of Generations / 2.8.2：
Population Statistics / 2.8.3：
Limited Time / 2.8.4：
Human Monitoring / 2.8.5：
Application Specific / 2.8.6：
Benchmarking Differential Evolution / 3：
About Testing / 3.1：
Performance Measures / 3.2：
DE Versus DE / 3.3：
The Algorithms / 3.3.1：
The Test Bed / 3.3.2：
Summary / 3.3.3：
DE Versus Other Optimizers / 3.4：
Comparative Performance: Thirty-Dimensional Functions / 3.4.1：
Comparative Studies: Unconstrained Optimization / 3.4.2：
Performance Comparisons from Other Problem Domains / 3.4.3：
Application-Based Performance Comparisons / 3.4.4：
Problem Domains / 3.5：
Function and Parameter Quantization / 4.1：
Uniform Quantization / 4.2.1：
Non-Uniform Quantization / 4.2.2：
Objective Function Quantization / 4.2.3：
Parameter Quantization / 4.2.4：
Mixed Variables / 4.2.5：
Optimization with Constraints / 4.3：
Boundary Constraints / 4.3.1：
Inequality Constraints / 4.3.2：
Equality Constraints / 4.3.3：
Combinatorial Problems / 4.4：
The Traveling Salesman Problem / 4.4.1：
The Permutation Matrix Approach / 4.4.2：
Relative Position Indexing / 4.4.3：
Onwubolu's Approach / 4.4.4：
Adjacency Matrix Approach / 4.4.5：
Design Centering / 4.4.6：
Divergence, Self-Steering and Pooling / 4.5.1：
Computing a Design Center / 4.5.2：
Multi-Objective Optimization / 4.6：
Weighted Sum of Objective Functions / 4.6.1：
Pareto Optimality / 4.6.2：
The Pareto-Front: Two Examples / 4.6.3：
Adapting DE for Multi-Objective Optimization / 4.6.4：
Dynamic Objective Functions / 4.7：
Stationary Optima / 4.7.1：
Non-Stationary Optima / 4.7.2：
Architectural Aspects and Computing Environments / 5：
DE on Parallel Processors / 5.1：
Background / 5.1.1：
Related Work / 5.1.2：
Drawbacks of the Standard Model / 5.1.3：
Modifying the Standard Model / 5.1.4：
The Master Process / 5.1.5：
DE on Limited Resource Devices / 5.2：
Random Numbers / 5.2.1：
Permutation Generators / 5.2.2：
Efficient Sorting / 5.2.3：
Memory-Saving DE Variants / 5.2.4：
Computer Code / 6：
DeMat - Differential Evolution for MATLAB / 6.1：
General Structure of DeMat / 6.1.1：
Naming and Coding Conventions / 6.1.2：
Data Flow Diagram / 6.1.3：
How to Use the Graphics / 6.1.4：
DeWin - DE for MS Windows: An Application in C / 6.2：
General Structure of DeWin / 6.2.1：
How To Use the Graphics / 6.2.2：
Functions of graphics.h / 6.2.5：
Software on the Accompanying CD / 6.3：
Applications / 7：
Genetic Algorithms and Related Techniques for Optimizing Si-H Clusters: A Merit Analysis for Differential Evolution / 7.1：
Introduction / 7.1.1：
The System Model / 7.1.2：
Computational Details / 7.1.3：
Results and Discussion / 7.1.4：
Concluding Remarks / 7.1.5：
Non-Imaging Optical Design Using Differential Evolution / 7.2：
Objective Function / 7.2.1：
A Reverse Engineering Approach to Testing / 7.2.3：
A More Difficult Problem: An Extended Source / 7.2.4：
Conclusion / 7.2.5：
Optimization of an Industrial Compressor Supply System / 7.3：
Background Information on the Test Problem / 7.3.1：
System Optimization / 7.3.3：
Demand Profiles / 7.3.4：
Modified Differential Evolution; Extending the Generality of DE / 7.3.5：
Component Selection from the Database / 7.3.6：
Crossover Approaches / 7.3.7：
Testing Procedures / 7.3.8：
Obtaining 100% Certainty of the Results / 7.3.9：
Results / 7.3.10：
Minimal Representation Multi-Sensor Fusion Using Differential Evolution / 7.3.11：
Minimal Representation Multi-Sensor Fusion / 7.4.1：
Differential Evolution for Multi-Sensor Fusion / 7.4.3：
Experimental Results / 7.4.4：
Comparison with a Binary Genetic Algorithm / 7.4.5：
Determination of the Earthquake Hypocenter: A Challenge for the Differential Evolution Algorithm / 7.4.6：
Brief Outline of Direct Problem Solution / 7.5.1：
Synthetic Location Test / 7.5.3：
Convergence Properties / 7.5.4：
Conclusions / 7.5.5：
Parallel Differential Evolution: Application to 3-D Medical Image Registration / 7.6：
Medical Image Registration Using Similarity Measures / 7.6.1：
Optimization by Differential Evolution / 7.6.3：
Parallelization of Differential Evolution / 7.6.4：
Acknowledgments / 7.6.5：
Design of Efficient Erasure Codes with Differential Evolution / 7.7：
Codes from Bipartite Graphs / 7.7.1：
Code Design / 7.7.3：
Differential Evolution / 7.7.4：
FIWIZ - A Versatile Program for the Design of Digital Filters Using Differential Evolution / 7.7.5：
Unconventional Design Tasks / 7.8.1：
Approach / 7.8.3：
Examples / 7.8.4：
Optimization of Radial Active Magnetic Bearings by Using Differential Evolution and the Finite Element Method / 7.8.5：
Radial Active Magnetic Bearings / 7.9.1：
Magnetic Field Distribution and Force Computed by the Two-Dimensional FEM / 7.9.3：
RAMB Design Optimized by DE and the FEM / 7.9.4：
Application of Differential Evolution to the Analysis of X-Ray Reflectivity Data / 7.9.5：
The Data-Fitting Procedure / 7.10.1：
The Model and Simulation / 7.10.3：
Inverse Fractal Problem / 7.10.4：
General Introduction / 7.11.1：
Active Compensation in RF-Driven Plasmas by Means of Differential Evolution / 7.11.2：
RF-Driven Plasmas / 7.12.1：
Langmuir Probes / 7.12.3：
Active Compensation in RF-Driven Plasmas / 7.12.4：
Automated Control System Structure and Fitness Function / 7.12.5：
Experimental Setup / 7.12.6：
Parameters and Experimental Design / 7.12.7：
Appendix / 7.12.8：
Unconstrained Uni-Modal Test Functions / A.1：
Sphere / A.1.1：
Hyper-Ellipsoid / A.1.2：
Generalized Rosenbrock / A.1.3：
Schwefel's Ridge / A.1.4：
Neumaier #3 / A.1.5：
Unconstrained Multi-Modal Test Functions / A.2：
Ackley / A.2.1：
Griewangk / A.2.2：
Rastrigin / A.2.3：
Salomon / A.2.4：
Whitley / A.2.5：
Storn's Chebyshev / A.2.6：
Lennard-Jones / A.2.7：
Hilbert / A.2.8：
Modified Langerman / A.2.9：
Shekel's Foxholes / A.2.10：
Odd Square / A.2.11：
Katsuura / A.2.12：
Bound-Constrained Test Functions / A.3：
Schwefel / A.3.1：
Epistatic Michalewicz / A.3.2：
Rana / A.3.3：
Index
Preface
Table of Contents
The Motivation for Differential Evolution / 1：
4.

図書
図書
4. Differential evolution : a practical approach to global optimization
Kenneth V. Price, Rainer M. Storn, Jouni A. Lampinen
出版情報: Berlin : Springer, c2005  xix, 538 p. ; 24 cm.
シリーズ名: Natural computing series
所蔵情報: loading…
目次情報: 続きを見る
Preface
Table of Contents
The Motivation for Differential Evolution / 1：
Introduction to Parameter Optimization / 1.1：
Overview / 1.1.1：
Single-Point, Derivative-Based Optimization / 1.1.2：
One-Point, Derivative-Free Optimization and the Step Size Problem / 1.1.3：
Local Versus Global Optimization / 1.2：
Simulated Annealing / 1.2.1：
Multi-Point, Derivative-Based Methods / 1.2.2：
Multi-Point, Derivative-Free Methods / 1.2.3：
Differential Evolution - A First Impression / 1.2.4：
References
The Differential Evolution Algorithm / 2：
Population Structure / 2.1：
Initialization / 2.1.2：
Mutation / 2.1.3：
Crossover / 2.1.4：
Selection / 2.1.5：
DE at a Glance / 2.1.6：
Visualizing DE / 2.1.7：
Notation / 2.1.8：
Parameter Representation / 2.2：
Bit Strings / 2.2.1：
Floating-Point / 2.2.2：
Floating-Point Constraints / 2.2.3：
Initial Bounds / 2.3：
Initial Distributions / 2.3.2：
Base Vector Selection / 2.4：
Choosing the Base Vector Index, r0 / 2.4.1：
One-to-One Base Vector Selection / 2.4.2：
A Comparison of Random Base Index Selection Methods / 2.4.3：
Degenerate Vector Combinations / 2.4.4：
Implementing Mutually Exclusive Indices / 2.4.5：
Gauging the Effects of Degenerate Combinations: The Sphere / 2.4.6：
Biased Base Vector Selection Schemes / 2.4.7：
Differential Mutation / 2.5：
The Mutation Scale Factor: F / 2.5.1：
Randomizing the Scale Factor / 2.5.2：
Recombination / 2.6：
The Role of Cr in Optimization / 2.6.1：
Arithmetic Recombination / 2.6.3：
Phase Portraits / 2.6.4：
The Either/Or Algorithm / 2.6.5：
Survival Criteria / 2.7：
Tournament Selection / 2.7.2：
One-to-One Survivor Selection / 2.7.3：
Local Versus Global Selection / 2.7.4：
Permutation Selection Invariance / 2.7.5：
Crossover-Dependent Selection Pressure / 2.7.6：
Parallel Performance / 2.7.7：
Extensions / 2.7.8：
Termination Criteria / 2.8：
Objective Met / 2.8.1：
Limit the Number of Generations / 2.8.2：
Population Statistics / 2.8.3：
Limited Time / 2.8.4：
Human Monitoring / 2.8.5：
Application Specific / 2.8.6：
Benchmarking Differential Evolution / 3：
About Testing / 3.1：
Performance Measures / 3.2：
DE Versus DE / 3.3：
The Algorithms / 3.3.1：
The Test Bed / 3.3.2：
Summary / 3.3.3：
DE Versus Other Optimizers / 3.4：
Comparative Performance: Thirty-Dimensional Functions / 3.4.1：
Comparative Studies: Unconstrained Optimization / 3.4.2：
Performance Comparisons from Other Problem Domains / 3.4.3：
Application-Based Performance Comparisons / 3.4.4：
Problem Domains / 3.5：
Function and Parameter Quantization / 4.1：
Uniform Quantization / 4.2.1：
Non-Uniform Quantization / 4.2.2：
Objective Function Quantization / 4.2.3：
Parameter Quantization / 4.2.4：
Mixed Variables / 4.2.5：
Optimization with Constraints / 4.3：
Boundary Constraints / 4.3.1：
Inequality Constraints / 4.3.2：
Equality Constraints / 4.3.3：
Combinatorial Problems / 4.4：
The Traveling Salesman Problem / 4.4.1：
The Permutation Matrix Approach / 4.4.2：
Relative Position Indexing / 4.4.3：
Onwubolu's Approach / 4.4.4：
Adjacency Matrix Approach / 4.4.5：
Design Centering / 4.4.6：
Divergence, Self-Steering and Pooling / 4.5.1：
Computing a Design Center / 4.5.2：
Multi-Objective Optimization / 4.6：
Weighted Sum of Objective Functions / 4.6.1：
Pareto Optimality / 4.6.2：
The Pareto-Front: Two Examples / 4.6.3：
Adapting DE for Multi-Objective Optimization / 4.6.4：
Dynamic Objective Functions / 4.7：
Stationary Optima / 4.7.1：
Non-Stationary Optima / 4.7.2：
Architectural Aspects and Computing Environments / 5：
DE on Parallel Processors / 5.1：
Background / 5.1.1：
Related Work / 5.1.2：
Drawbacks of the Standard Model / 5.1.3：
Modifying the Standard Model / 5.1.4：
The Master Process / 5.1.5：
DE on Limited Resource Devices / 5.2：
Random Numbers / 5.2.1：
Permutation Generators / 5.2.2：
Efficient Sorting / 5.2.3：
Memory-Saving DE Variants / 5.2.4：
Computer Code / 6：
DeMat - Differential Evolution for MATLAB / 6.1：
General Structure of DeMat / 6.1.1：
Naming and Coding Conventions / 6.1.2：
Data Flow Diagram / 6.1.3：
How to Use the Graphics / 6.1.4：
DeWin - DE for MS Windows: An Application in C / 6.2：
General Structure of DeWin / 6.2.1：
How To Use the Graphics / 6.2.2：
Functions of graphics.h / 6.2.5：
Software on the Accompanying CD / 6.3：
Applications / 7：
Genetic Algorithms and Related Techniques for Optimizing Si-H Clusters: A Merit Analysis for Differential Evolution / 7.1：
Introduction / 7.1.1：
The System Model / 7.1.2：
Computational Details / 7.1.3：
Results and Discussion / 7.1.4：
Concluding Remarks / 7.1.5：
Non-Imaging Optical Design Using Differential Evolution / 7.2：
Objective Function / 7.2.1：
A Reverse Engineering Approach to Testing / 7.2.3：
A More Difficult Problem: An Extended Source / 7.2.4：
Conclusion / 7.2.5：
Optimization of an Industrial Compressor Supply System / 7.3：
Background Information on the Test Problem / 7.3.1：
System Optimization / 7.3.3：
Demand Profiles / 7.3.4：
Modified Differential Evolution; Extending the Generality of DE / 7.3.5：
Component Selection from the Database / 7.3.6：
Crossover Approaches / 7.3.7：
Testing Procedures / 7.3.8：
Obtaining 100% Certainty of the Results / 7.3.9：
Results / 7.3.10：
Minimal Representation Multi-Sensor Fusion Using Differential Evolution / 7.3.11：
Minimal Representation Multi-Sensor Fusion / 7.4.1：
Differential Evolution for Multi-Sensor Fusion / 7.4.3：
Experimental Results / 7.4.4：
Comparison with a Binary Genetic Algorithm / 7.4.5：
Determination of the Earthquake Hypocenter: A Challenge for the Differential Evolution Algorithm / 7.4.6：
Brief Outline of Direct Problem Solution / 7.5.1：
Synthetic Location Test / 7.5.3：
Convergence Properties / 7.5.4：
Conclusions / 7.5.5：
Parallel Differential Evolution: Application to 3-D Medical Image Registration / 7.6：
Medical Image Registration Using Similarity Measures / 7.6.1：
Optimization by Differential Evolution / 7.6.3：
Parallelization of Differential Evolution / 7.6.4：
Acknowledgments / 7.6.5：
Design of Efficient Erasure Codes with Differential Evolution / 7.7：
Codes from Bipartite Graphs / 7.7.1：
Code Design / 7.7.3：
Differential Evolution / 7.7.4：
FIWIZ - A Versatile Program for the Design of Digital Filters Using Differential Evolution / 7.7.5：
Unconventional Design Tasks / 7.8.1：
Approach / 7.8.3：
Examples / 7.8.4：
Optimization of Radial Active Magnetic Bearings by Using Differential Evolution and the Finite Element Method / 7.8.5：
Radial Active Magnetic Bearings / 7.9.1：
Magnetic Field Distribution and Force Computed by the Two-Dimensional FEM / 7.9.3：
RAMB Design Optimized by DE and the FEM / 7.9.4：
Application of Differential Evolution to the Analysis of X-Ray Reflectivity Data / 7.9.5：
The Data-Fitting Procedure / 7.10.1：
The Model and Simulation / 7.10.3：
Inverse Fractal Problem / 7.10.4：
General Introduction / 7.11.1：
Active Compensation in RF-Driven Plasmas by Means of Differential Evolution / 7.11.2：
RF-Driven Plasmas / 7.12.1：
Langmuir Probes / 7.12.3：
Active Compensation in RF-Driven Plasmas / 7.12.4：
Automated Control System Structure and Fitness Function / 7.12.5：
Experimental Setup / 7.12.6：
Parameters and Experimental Design / 7.12.7：
Appendix / 7.12.8：
Unconstrained Uni-Modal Test Functions / A.1：
Sphere / A.1.1：
Hyper-Ellipsoid / A.1.2：
Generalized Rosenbrock / A.1.3：
Schwefel's Ridge / A.1.4：
Neumaier #3 / A.1.5：
Unconstrained Multi-Modal Test Functions / A.2：
Ackley / A.2.1：
Griewangk / A.2.2：
Rastrigin / A.2.3：
Salomon / A.2.4：
Whitley / A.2.5：
Storn's Chebyshev / A.2.6：
Lennard-Jones / A.2.7：
Hilbert / A.2.8：
Modified Langerman / A.2.9：
Shekel's Foxholes / A.2.10：
Odd Square / A.2.11：
Katsuura / A.2.12：
Bound-Constrained Test Functions / A.3：
Schwefel / A.3.1：
Epistatic Michalewicz / A.3.2：
Rana / A.3.3：
Index
Preface
Table of Contents
The Motivation for Differential Evolution / 1：
5.

電子ブック
ＥＢ
5. Differential Evolution
Kenneth V. Price, Th Bäck, Jouni A. Lampinen, Rainer M. Storn
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2005
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目次情報: 続きを見る
Preface
Table of Contents
The Motivation for Differential Evolution / 1：
Introduction to Parameter Optimization / 1.1：
Overview / 1.1.1：
Single-Point, Derivative-Based Optimization / 1.1.2：
One-Point, Derivative-Free Optimization and the Step Size Problem / 1.1.3：
Local Versus Global Optimization / 1.2：
Simulated Annealing / 1.2.1：
Multi-Point, Derivative-Based Methods / 1.2.2：
Multi-Point, Derivative-Free Methods / 1.2.3：
Differential Evolution - A First Impression / 1.2.4：
References
The Differential Evolution Algorithm / 2：
Population Structure / 2.1：
Initialization / 2.1.2：
Mutation / 2.1.3：
Crossover / 2.1.4：
Selection / 2.1.5：
DE at a Glance / 2.1.6：
Visualizing DE / 2.1.7：
Notation / 2.1.8：
Parameter Representation / 2.2：
Bit Strings / 2.2.1：
Floating-Point / 2.2.2：
Floating-Point Constraints / 2.2.3：
Initial Bounds / 2.3：
Initial Distributions / 2.3.2：
Base Vector Selection / 2.4：
Choosing the Base Vector Index, r0 / 2.4.1：
One-to-One Base Vector Selection / 2.4.2：
A Comparison of Random Base Index Selection Methods / 2.4.3：
Degenerate Vector Combinations / 2.4.4：
Implementing Mutually Exclusive Indices / 2.4.5：
Gauging the Effects of Degenerate Combinations: The Sphere / 2.4.6：
Biased Base Vector Selection Schemes / 2.4.7：
Differential Mutation / 2.5：
The Mutation Scale Factor: F / 2.5.1：
Randomizing the Scale Factor / 2.5.2：
Recombination / 2.6：
The Role of Cr in Optimization / 2.6.1：
Arithmetic Recombination / 2.6.3：
Phase Portraits / 2.6.4：
The Either/Or Algorithm / 2.6.5：
Survival Criteria / 2.7：
Tournament Selection / 2.7.2：
One-to-One Survivor Selection / 2.7.3：
Local Versus Global Selection / 2.7.4：
Permutation Selection Invariance / 2.7.5：
Crossover-Dependent Selection Pressure / 2.7.6：
Parallel Performance / 2.7.7：
Extensions / 2.7.8：
Termination Criteria / 2.8：
Objective Met / 2.8.1：
Limit the Number of Generations / 2.8.2：
Population Statistics / 2.8.3：
Limited Time / 2.8.4：
Human Monitoring / 2.8.5：
Application Specific / 2.8.6：
Benchmarking Differential Evolution / 3：
About Testing / 3.1：
Performance Measures / 3.2：
DE Versus DE / 3.3：
The Algorithms / 3.3.1：
The Test Bed / 3.3.2：
Summary / 3.3.3：
DE Versus Other Optimizers / 3.4：
Comparative Performance: Thirty-Dimensional Functions / 3.4.1：
Comparative Studies: Unconstrained Optimization / 3.4.2：
Performance Comparisons from Other Problem Domains / 3.4.3：
Application-Based Performance Comparisons / 3.4.4：
Problem Domains / 3.5：
Function and Parameter Quantization / 4.1：
Uniform Quantization / 4.2.1：
Non-Uniform Quantization / 4.2.2：
Objective Function Quantization / 4.2.3：
Parameter Quantization / 4.2.4：
Mixed Variables / 4.2.5：
Optimization with Constraints / 4.3：
Boundary Constraints / 4.3.1：
Inequality Constraints / 4.3.2：
Equality Constraints / 4.3.3：
Combinatorial Problems / 4.4：
The Traveling Salesman Problem / 4.4.1：
The Permutation Matrix Approach / 4.4.2：
Relative Position Indexing / 4.4.3：
Onwubolu's Approach / 4.4.4：
Adjacency Matrix Approach / 4.4.5：
Design Centering / 4.4.6：
Divergence, Self-Steering and Pooling / 4.5.1：
Computing a Design Center / 4.5.2：
Multi-Objective Optimization / 4.6：
Weighted Sum of Objective Functions / 4.6.1：
Pareto Optimality / 4.6.2：
The Pareto-Front: Two Examples / 4.6.3：
Adapting DE for Multi-Objective Optimization / 4.6.4：
Dynamic Objective Functions / 4.7：
Stationary Optima / 4.7.1：
Non-Stationary Optima / 4.7.2：
Architectural Aspects and Computing Environments / 5：
DE on Parallel Processors / 5.1：
Background / 5.1.1：
Related Work / 5.1.2：
Drawbacks of the Standard Model / 5.1.3：
Modifying the Standard Model / 5.1.4：
The Master Process / 5.1.5：
DE on Limited Resource Devices / 5.2：
Random Numbers / 5.2.1：
Permutation Generators / 5.2.2：
Efficient Sorting / 5.2.3：
Memory-Saving DE Variants / 5.2.4：
Computer Code / 6：
DeMat - Differential Evolution for MATLAB / 6.1：
General Structure of DeMat / 6.1.1：
Naming and Coding Conventions / 6.1.2：
Data Flow Diagram / 6.1.3：
How to Use the Graphics / 6.1.4：
DeWin - DE for MS Windows: An Application in C / 6.2：
General Structure of DeWin / 6.2.1：
How To Use the Graphics / 6.2.2：
Functions of graphics.h / 6.2.5：
Software on the Accompanying CD / 6.3：
Applications / 7：
Genetic Algorithms and Related Techniques for Optimizing Si-H Clusters: A Merit Analysis for Differential Evolution / 7.1：
Introduction / 7.1.1：
The System Model / 7.1.2：
Computational Details / 7.1.3：
Results and Discussion / 7.1.4：
Concluding Remarks / 7.1.5：
Non-Imaging Optical Design Using Differential Evolution / 7.2：
Objective Function / 7.2.1：
A Reverse Engineering Approach to Testing / 7.2.3：
A More Difficult Problem: An Extended Source / 7.2.4：
Conclusion / 7.2.5：
Optimization of an Industrial Compressor Supply System / 7.3：
Background Information on the Test Problem / 7.3.1：
System Optimization / 7.3.3：
Demand Profiles / 7.3.4：
Modified Differential Evolution; Extending the Generality of DE / 7.3.5：
Component Selection from the Database / 7.3.6：
Crossover Approaches / 7.3.7：
Testing Procedures / 7.3.8：
Obtaining 100% Certainty of the Results / 7.3.9：
Results / 7.3.10：
Minimal Representation Multi-Sensor Fusion Using Differential Evolution / 7.3.11：
Minimal Representation Multi-Sensor Fusion / 7.4.1：
Differential Evolution for Multi-Sensor Fusion / 7.4.3：
Experimental Results / 7.4.4：
Comparison with a Binary Genetic Algorithm / 7.4.5：
Determination of the Earthquake Hypocenter: A Challenge for the Differential Evolution Algorithm / 7.4.6：
Brief Outline of Direct Problem Solution / 7.5.1：
Synthetic Location Test / 7.5.3：
Convergence Properties / 7.5.4：
Conclusions / 7.5.5：
Parallel Differential Evolution: Application to 3-D Medical Image Registration / 7.6：
Medical Image Registration Using Similarity Measures / 7.6.1：
Optimization by Differential Evolution / 7.6.3：
Parallelization of Differential Evolution / 7.6.4：
Acknowledgments / 7.6.5：
Design of Efficient Erasure Codes with Differential Evolution / 7.7：
Codes from Bipartite Graphs / 7.7.1：
Code Design / 7.7.3：
Differential Evolution / 7.7.4：
FIWIZ - A Versatile Program for the Design of Digital Filters Using Differential Evolution / 7.7.5：
Unconventional Design Tasks / 7.8.1：
Approach / 7.8.3：
Examples / 7.8.4：
Optimization of Radial Active Magnetic Bearings by Using Differential Evolution and the Finite Element Method / 7.8.5：
Radial Active Magnetic Bearings / 7.9.1：
Magnetic Field Distribution and Force Computed by the Two-Dimensional FEM / 7.9.3：
RAMB Design Optimized by DE and the FEM / 7.9.4：
Application of Differential Evolution to the Analysis of X-Ray Reflectivity Data / 7.9.5：
The Data-Fitting Procedure / 7.10.1：
The Model and Simulation / 7.10.3：
Inverse Fractal Problem / 7.10.4：
General Introduction / 7.11.1：
Active Compensation in RF-Driven Plasmas by Means of Differential Evolution / 7.11.2：
RF-Driven Plasmas / 7.12.1：
Langmuir Probes / 7.12.3：
Active Compensation in RF-Driven Plasmas / 7.12.4：
Automated Control System Structure and Fitness Function / 7.12.5：
Experimental Setup / 7.12.6：
Parameters and Experimental Design / 7.12.7：
Appendix / 7.12.8：
Unconstrained Uni-Modal Test Functions / A.1：
Sphere / A.1.1：
Hyper-Ellipsoid / A.1.2：
Generalized Rosenbrock / A.1.3：
Schwefel's Ridge / A.1.4：
Neumaier #3 / A.1.5：
Unconstrained Multi-Modal Test Functions / A.2：
Ackley / A.2.1：
Griewangk / A.2.2：
Rastrigin / A.2.3：
Salomon / A.2.4：
Whitley / A.2.5：
Storn's Chebyshev / A.2.6：
Lennard-Jones / A.2.7：
Hilbert / A.2.8：
Modified Langerman / A.2.9：
Shekel's Foxholes / A.2.10：
Odd Square / A.2.11：
Katsuura / A.2.12：
Bound-Constrained Test Functions / A.3：
Schwefel / A.3.1：
Epistatic Michalewicz / A.3.2：
Rana / A.3.3：
Index
Preface
Table of Contents
The Motivation for Differential Evolution / 1：
6.

図書
図書
6. Oxoacidity : reactions of oxo-compounds in ionic solvents
V. L. Cherginets
出版情報: Amsterdam ; Tokyo : Elsevier, 2005  xix, 382 p. ; 25 cm
シリーズ名: Comprehensive chemical kinetics ; v. 41
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List of symbols
Introduction
Homogeneous acid-base equilibria and acidity scales in ionic melts / 1：
Definitions of acids and bases / Part 1：
Definitions of particles possessing acid or base properties / 1.1.1：
Definitions of solvents system / 1.1.2：
Hard and soft acids and bases (Pearson's concept) / 1.1.3：
Generalized definition of solvent system. Solvents of kinds I and II / 1.1.4：
Studies of homogeneous acid-base reactions in ionic melts / Part 2：
Features of high-temperature ionic solvents as media for Lux acid-base interactions / 1.2.1：
Methods of investigations / 1.2.2：
Ionic solvents based on alkali metal nitrates / 1.2.3：
Molten alkali metal sulfates / 1.2.4：
Silicate melts / 1.2.5：
KCl-NaCl equimolar mixture / 1.2.6：
Oxocompounds of chromium(VI) / 1.2.6.1：
Oxoacids of molybdenum(VI) / 1.2.6.2：
Oxocompounds of tungsten(VI) / 1.2.6.3：
Oxoacidic properties of phosphates / 1.2.6.4：
Oxoacids of vanadium(V) / 1.2.6.5：
Oxoacids of boron(III) / 1.2.6.6：
Acidic properties of Ge(IV) and Nb(V) oxocompounds / 1.2.6.7：
Molten KCl-LiCl (0.41:0.59) EUTECTIC / 1.2.7：
Molten NaI / 1.2.8：
Other alkaline-metal halides / 1.2.9：
Conclusion / 1.2.10：
Acid-base ranges in ionic melts. Estimation of relative acidic properties of ionic melts / Part 3：
The oxobasicity index as a measure of relative oxoacidic properties of high-temperature ionic solvents / 1.3.1：
Oxoacidity scales for melts based on alkali- and alkaline-earth metal halides / 1.3.2：
Oxygen electrodes in ionic melts. Oxide ion donors / 1.3.3：
Oxygen electrode reversibility in ionic melts / Part 4：
Potentiometric method of study of oxygen electrode reversibility / 2.4.1：
Direct calibration / 2.4.1.1：
Indirect calibration of oxygen electrodes / 2.4.1.2：
Experimental results / 2.4.2：
Oxygen-containing melts / 2.4.2.1：
Melts based on alkali metal halides / 2.4.2.2：
Melts based on alkali- and alkaline-earth halides / 2.4.2.3：
KCl-NaCl-NaF eutectic / 2.4.2.4：
Conclusions / 2.4.3：
Investigations of dissociation of Lux bases in ionic melts / Part 5：
Reactions of ionic melts with gases of acidic or base character / 2.5.1：
High-temperature hydrolysis of melts based on alkali metal halides / 2.5.1.1：
Purification of halide ionic melts from oxide-ion admixtures / 2.5.1.2：
Behaviour of Lux bases in ionic melts / 2.5.2：
Sodium peroxide, Na[subscript 2]O[subscript 2] / 2.5.2.1：
Alkali metal carbonates, Me[subscript 2]CO[subscript 3] / 2.5.2.2：
Alkali metal hydroxides, MeOH / 2.5.2.3：
Equilibria in "solid oxide-ionic melt" systems / 3：
Characteristics of oxide solubilities and methods of their determination / Part 6：
Parameters describing solubilities of solid substances in ionic solvents / 3.6.1：
Methods of oxide solubility determination / 3.6.2：
Isothermal saturation method / 3.6.2.1：
Potentiometric titration method / 3.6.2.2：
Sequential addition method / 3.6.2.3：
Regularities of oxide solubilities in melts based on alkali and alkaline-earth metal halides / Part 7：
Molten alkali-metal halides and their mixtures / 3.7.1：
KCl-LiCl (0.41:0.59) eutectic mixture / 3.7.1.1：
KCl-NaCl (0.50:0.50) equimolar mixture / 3.7.1.2：
CsCl-KCl-NaCl (0.455:0.245:0.30) eutectic / 3.7.1.3：
CsBr-KBr (0.66:0.34) melt / 3.7.1.4：
Molten CsI, 700[degree]C / 3.7.1.5：
Molten potassium halides / 3.7.1.6：
Other solvents based on alkali-metal halides / 3.7.1.7：
Oxide solubilities in melts based on alkali- and alkaline-earth metal halides / 3.7.2：
Solubilities of alkali earth metal carbonates in KCl-NaCl eutectic / 3.7.3：
Afterword / 3.7.4：
References
Formula Index
Subject Index
List of symbols
Introduction
Homogeneous acid-base equilibria and acidity scales in ionic melts / 1：
7.

図書
図書
7. Clustering for data mining : a data recovery approach (: hardcover)
Boris Mirkin
出版情報: Boca Raton, Fla. : Chapman & Hall/CRC, Taylor & Francis, 2005  xxiii, 266 p. ; 25 cm
シリーズ名: Series in computer science and data analysis ; v. 3
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Preface
List of Denotations
Introduction: Historical Remarks
What Is Clustering / 1：
Base words
Exemplary problems / 1.1：
Structuring / 1.1.1：
Description / 1.1.2：
Association / 1.1.3：
Generalization / 1.1.4：
Visualization of data structure / 1.1.5：
Bird's-eye view / 1.2：
Definition: data and cluster structure / 1.2.1：
Criteria for revealing a cluster structure / 1.2.2：
Three types of cluster description / 1.2.3：
Stages of a clustering application / 1.2.4：
Clustering and other disciplines / 1.2.5：
Different perspectives of clustering / 1.2.6：
What Is Data / 2：
Feature characteristics / 2.1：
Feature scale types / 2.1.1：
Quantitative case / 2.1.2：
Categorical case / 2.1.3：
Bivariate analysis / 2.2：
Two quantitative variables / 2.2.1：
Nominal and quantitative variables / 2.2.2：
Two nominal variables cross-classified / 2.2.3：
Relation between correlation and contingency / 2.2.4：
Meaning of correlation / 2.2.5：
Feature space and data scatter / 2.3：
Data matrix / 2.3.1：
Feature space: distance and inner product / 2.3.2：
Data scatter / 2.3.3：
Pre-processing and standardizing mixed data / 2.4：
Other table data types / 2.5：
Dissimilarity and similarity data / 2.5.1：
Contingency and flow data / 2.5.2：
K-Means Clustering / 3：
Conventional K-Means / 3.1：
Straight K-Means / 3.1.1：
Square error criterion / 3.1.2：
Incremental versions of K-Means / 3.1.3：
Initialization of K-Means / 3.2：
Traditional approaches to initial setting / 3.2.1：
MaxMin for producing deviate centroids / 3.2.2：
Deviate centroids with Anomalous pattern / 3.2.3：
Intelligent K-Means / 3.3：
Iterated Anomalous pattern for iK-Means / 3.3.1：
Cross validation of iK-Means results / 3.3.2：
Interpretation aids / 3.4：
Conventional interpretation aids / 3.4.1：
Contribution and relative contribution tables / 3.4.2：
Cluster representatives / 3.4.3：
Measures of association from ScaD tables / 3.4.4：
Overall assessment / 3.5：
Ward Hierarchical Clustering / 4：
Agglomeration: Ward algorithm / 4.1：
Divisive clustering with Ward criterion / 4.2：
2-Means splitting / 4.2.1：
Splitting by separating / 4.2.2：
Interpretation aids for upper cluster hierarchies / 4.2.3：
Conceptual clustering / 4.3：
Extensions of Ward clustering / 4.4：
Agglomerative clustering with dissimilarity data / 4.4.1：
Hierarchical clustering for contingency and flow data / 4.4.2：
Data Recovery Models / 4.5：
Statistics modeling as data recovery / 5.1：
Averaging / 5.1.1：
Linear regression / 5.1.2：
Principal component analysis / 5.1.3：
Correspondence factor analysis / 5.1.4：
Data recovery model for K-Means / 5.2：
Equation and data scatter decomposition / 5.2.1：
Contributions of clusters, features, and individual entities / 5.2.2：
Correlation ratio as contribution / 5.2.3：
Partition contingency coefficients / 5.2.4：
Data recovery models for Ward criterion / 5.3：
Data recovery models with cluster hierarchies / 5.3.1：
Covariances, variances and data scatter decomposed / 5.3.2：
Direct proof of the equivalence between 2-Means and Ward criteria / 5.3.3：
Gower's controversy / 5.3.4：
Extensions to other data types / 5.4：
Similarity and attraction measures compatible with K-Means and Ward criteria / 5.4.1：
Application to binary data / 5.4.2：
Agglomeration and aggregation of contingency data / 5.4.3：
Extension to multiple data / 5.4.4：
One-by-one clustering / 5.5：
PCA and data recovery clustering / 5.5.1：
Divisive Ward-like clustering / 5.5.2：
Iterated Anomalous pattern / 5.5.3：
Anomalous pattern versus Splitting / 5.5.4：
One-by-one clusters for similarity data / 5.5.5：
Different Clustering Approaches / 5.6：
Extensions of K-Means clustering / 6.1：
Clustering criteria and implementation / 6.1.1：
Partitioning around medoids PAM / 6.1.2：
Fuzzy clustering / 6.1.3：
Regression-wise clustering / 6.1.4：
Mixture of distributions and EM algorithm / 6.1.5：
Kohonen self-organizing maps SOM / 6.1.6：
Graph-theoretic approaches / 6.2：
Single linkage, minimum spanning tree and connected components / 6.2.1：
Finding a core / 6.2.2：
Conceptual description of clusters / 6.3：
False positives and negatives / 6.3.1：
Conceptually describing a partition / 6.3.2：
Describing a cluster with production rules / 6.3.3：
Comprehensive conjunctive description of a cluster / 6.3.4：
General Issues / 6.4：
Feature selection and extraction / 7.1：
A review / 7.1.1：
Comprehensive description as a feature selector / 7.1.2：
Comprehensive description as a feature extractor / 7.1.3：
Data pre-processing and standardization / 7.2：
Dis/similarity between entities / 7.2.1：
Pre-processing feature based data / 7.2.2：
Data standardization / 7.2.3：
Similarity on subsets and partitions / 7.3：
Dis/similarity between binary entities or subsets / 7.3.1：
Dis/similarity between partitions / 7.3.2：
Dealing with missing data / 7.4：
Imputation as part of pre-processing / 7.4.1：
Conditional mean / 7.4.2：
Maximum likelihood / 7.4.3：
Least-squares approximation / 7.4.4：
Validity and reliability / 7.5：
Index based validation / 7.5.1：
Resampling for validation and selection / 7.5.2：
Model selection with resampling / 7.5.3：
Conclusion: Data Recovery Approach in Clustering / 7.6：
Bibliography
Index
Preface
List of Denotations
Introduction: Historical Remarks
8.

電子ブック
ＥＢ
8. On Probabilistic Conditional Independence Structures
Milan Studen?, Michael Jordan, Frank P. Kelly, Jon Kleinberg, Bernhard Sch?lkopf, Ian Witten
出版情報: Springer eBooks Computer Science , Springer London, 2005
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Introduction / 1：
Motivational thoughts / 1.1：
Goals of the monograph / 1.2：
Structure of the book / 1.3：
Basic Concepts / 2：
Conditional independence / 2.1：
Semi-graphoid properties / 2.2：
Formal independence models / 2.2.1：
Semi-graphoids / 2.2.2：
Elementary independence statements / 2.2.3：
Problem of axiomatic characterization / 2.2.4：
Classes of probability measures / 2.3：
Marginally continuous measures / 2.3.1：
Factorizable measures / 2.3.2：
Multiinformation and conditional product / 2.3.3：
Properties of multiinformation function / 2.3.4：
Positive measures / 2.3.5：
Gaussian measures / 2.3.6：
Basic construction / 2.3.7：
Imsets / 2.4：
Graphical Methods / 3：
Undirected graphs / 3.1：
Acyclic directed graphs / 3.2：
Classic chain graphs / 3.3：
Within classic graphical models / 3.4：
Decomposable models / 3.4.1：
Recursive causal graphs / 3.4.2：
Lattice conditional independence models / 3.4.3：
Bubble graphs / 3.4.4：
Advanced graphical models / 3.5：
General directed graphs / 3.5.1：
Reciprocal graphs / 3.5.2：
Joint-response chain graphs / 3.5.3：
Covariance graphs / 3.5.4：
Alternative chain graphs / 3.5.5：
Annotated graphs / 3.5.6：
Hidden variables / 3.5.7：
Ancestral graphs / 3.5.8：
MC graphs / 3.5.9：
Incompleteness of graphical approaches / 3.6：
Structural Imsets: Fundamentals / 4：
Basic class of distributions / 4.1：
Discrete measures / 4.1.1：
Regular Gaussian measures / 4.1.2：
Conditional Gaussian measures / 4.1.3：
Classes of structural imsets / 4.2：
Elementary imsets / 4.2.1：
Semi-elementary and combinatorial imsets / 4.2.2：
Structural imsets / 4.2.3：
Product formula induced by a structural imset / 4.3：
Examples of reference systems of measures / 4.3.1：
Topological assumptions / 4.3.2：
Markov condition / 4.4：
Semi-graphoid induced by a structural imset / 4.4.1：
Markovian measures / 4.4.2：
Equivalence result / 4.5：
Description of Probabilistic Models / 5：
Supermodular set functions / 5.1：
Semi-graphoid produced by a supermodular function / 5.1.1：
Quantitative equivalence of supermodular functions / 5.1.2：
Skeletal supermodular functions / 5.2：
Skeleton / 5.2.1：
Significance of skeletal imsets / 5.2.2：
Description of models by structural imsets / 5.3：
Galois connection / 5.4：
Formal concept analysis / 5.4.1：
Lattice of structural models / 5.4.2：
Equivalence and Implication / 6：
Two concepts of equivalence / 6.1：
Independence and Markov equivalence / 6.1.1：
Independence implication / 6.2：
Direct characterization of independence implication / 6.2.1：
Skeletal characterization of independence implication / 6.2.2：
Testing independence implication / 6.3：
Testing structural imsets / 6.3.1：
Grade / 6.3.2：
Invariants of independence equivalence / 6.4：
Adaptation to a distribution framework / 6.5：
The Problem of Representative Choice / 7：
Baricentral imsets / 7.1：
Standard imsets / 7.2：
Translation of DAG models / 7.2.1：
Translation of decomposable models / 7.2.2：
Imsets of the smallest degree / 7.3：
Decomposition implication / 7.3.1：
Minimal generators / 7.3.2：
Span / 7.4：
Determining and unimarginal classes / 7.4.1：
Imsets with the least lower class / 7.4.2：
Exclusivity of standard imsets / 7.4.3：
Dual description / 7.5：
Coportraits / 7.5.1：
Dual baricentral imsets and global view / 7.5.2：
Learning / 8：
Two approaches to learning / 8.1：
Quality criteria / 8.2：
Criteria for learning DAG models / 8.2.1：
Score equivalent criteria / 8.2.2：
Decomposable criteria / 8.2.3：
Regular criteria / 8.2.4：
Inclusion neighborhood / 8.3：
Standard imsets and learning / 8.4：
Inclusion neighborhood characterization / 8.4.1：
Regular criteria and standard imsets / 8.4.2：
Open Problems / 9：
Theoretical problems / 9.1：
Miscellaneous topics / 9.1.1：
Classification of skeletal imsets / 9.1.2：
Operations with structural models / 9.2：
Reductive operations / 9.2.1：
Expansive operations / 9.2.2：
Cumulative operations / 9.2.3：
Decomposition of structural models / 9.2.4：
Implementation tasks / 9.3：
Interpretation and learning tasks / 9.4：
Meaningful description of structural models / 9.4.1：
Tasks concerning distribution frameworks / 9.4.2：
Learning tasks / 9.4.3：
Appendix / A：
Classes of sets / A.1：
Posets and lattices / A.2：
Graphs / A.3：
Topological concepts / A.4：
Finite-dimensional subspaces and convex cones / A.5：
Linear subspaces / A.5.1：
Convex sets and cones / A.5.2：
Measure-theoretical concepts / A.6：
Measure and integral / A.6.1：
Basic measure-theoretical results / A.6.2：
Information-theoretical concepts / A.6.3：
Conditional probability / A.6.4：
Conditional independence in terms of ?-algebras / A.7：
Concepts from multivariate analysis / A.8：
Matrices / A.8.1：
Statistical characteristics of probability measures / A.8.2：
Multivariate Gaussian distributions / A.8.3：
Elementary statistical concepts / A.9：
Empirical concepts / A.9.1：
Statistical conception / A.9.2：
Likelihood function / A.9.3：
Testing statistical hypotheses / A.9.4：
Distribution framework / A.9.5：
List of Notation
List of Lemmas, Propositions etc
References
Index
Introduction / 1：
Motivational thoughts / 1.1：
Goals of the monograph / 1.2：
9.

電子ブック
ＥＢ
9. On Probabilistic Conditional Independence Structures
Milan Studený, Michael Jordan, Frank P. Kelly, Jon Kleinberg, Bernhard Schölkopf, Ian Witten
出版情報: SpringerLink Books - AutoHoldings , Springer London, 2005
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1：
Motivational thoughts / 1.1：
Goals of the monograph / 1.2：
Structure of the book / 1.3：
Basic Concepts / 2：
Conditional independence / 2.1：
Semi-graphoid properties / 2.2：
Formal independence models / 2.2.1：
Semi-graphoids / 2.2.2：
Elementary independence statements / 2.2.3：
Problem of axiomatic characterization / 2.2.4：
Classes of probability measures / 2.3：
Marginally continuous measures / 2.3.1：
Factorizable measures / 2.3.2：
Multiinformation and conditional product / 2.3.3：
Properties of multiinformation function / 2.3.4：
Positive measures / 2.3.5：
Gaussian measures / 2.3.6：
Basic construction / 2.3.7：
Imsets / 2.4：
Graphical Methods / 3：
Undirected graphs / 3.1：
Acyclic directed graphs / 3.2：
Classic chain graphs / 3.3：
Within classic graphical models / 3.4：
Decomposable models / 3.4.1：
Recursive causal graphs / 3.4.2：
Lattice conditional independence models / 3.4.3：
Bubble graphs / 3.4.4：
Advanced graphical models / 3.5：
General directed graphs / 3.5.1：
Reciprocal graphs / 3.5.2：
Joint-response chain graphs / 3.5.3：
Covariance graphs / 3.5.4：
Alternative chain graphs / 3.5.5：
Annotated graphs / 3.5.6：
Hidden variables / 3.5.7：
Ancestral graphs / 3.5.8：
MC graphs / 3.5.9：
Incompleteness of graphical approaches / 3.6：
Structural Imsets: Fundamentals / 4：
Basic class of distributions / 4.1：
Discrete measures / 4.1.1：
Regular Gaussian measures / 4.1.2：
Conditional Gaussian measures / 4.1.3：
Classes of structural imsets / 4.2：
Elementary imsets / 4.2.1：
Semi-elementary and combinatorial imsets / 4.2.2：
Structural imsets / 4.2.3：
Product formula induced by a structural imset / 4.3：
Examples of reference systems of measures / 4.3.1：
Topological assumptions / 4.3.2：
Markov condition / 4.4：
Semi-graphoid induced by a structural imset / 4.4.1：
Markovian measures / 4.4.2：
Equivalence result / 4.5：
Description of Probabilistic Models / 5：
Supermodular set functions / 5.1：
Semi-graphoid produced by a supermodular function / 5.1.1：
Quantitative equivalence of supermodular functions / 5.1.2：
Skeletal supermodular functions / 5.2：
Skeleton / 5.2.1：
Significance of skeletal imsets / 5.2.2：
Description of models by structural imsets / 5.3：
Galois connection / 5.4：
Formal concept analysis / 5.4.1：
Lattice of structural models / 5.4.2：
Equivalence and Implication / 6：
Two concepts of equivalence / 6.1：
Independence and Markov equivalence / 6.1.1：
Independence implication / 6.2：
Direct characterization of independence implication / 6.2.1：
Skeletal characterization of independence implication / 6.2.2：
Testing independence implication / 6.3：
Testing structural imsets / 6.3.1：
Grade / 6.3.2：
Invariants of independence equivalence / 6.4：
Adaptation to a distribution framework / 6.5：
The Problem of Representative Choice / 7：
Baricentral imsets / 7.1：
Standard imsets / 7.2：
Translation of DAG models / 7.2.1：
Translation of decomposable models / 7.2.2：
Imsets of the smallest degree / 7.3：
Decomposition implication / 7.3.1：
Minimal generators / 7.3.2：
Span / 7.4：
Determining and unimarginal classes / 7.4.1：
Imsets with the least lower class / 7.4.2：
Exclusivity of standard imsets / 7.4.3：
Dual description / 7.5：
Coportraits / 7.5.1：
Dual baricentral imsets and global view / 7.5.2：
Learning / 8：
Two approaches to learning / 8.1：
Quality criteria / 8.2：
Criteria for learning DAG models / 8.2.1：
Score equivalent criteria / 8.2.2：
Decomposable criteria / 8.2.3：
Regular criteria / 8.2.4：
Inclusion neighborhood / 8.3：
Standard imsets and learning / 8.4：
Inclusion neighborhood characterization / 8.4.1：
Regular criteria and standard imsets / 8.4.2：
Open Problems / 9：
Theoretical problems / 9.1：
Miscellaneous topics / 9.1.1：
Classification of skeletal imsets / 9.1.2：
Operations with structural models / 9.2：
Reductive operations / 9.2.1：
Expansive operations / 9.2.2：
Cumulative operations / 9.2.3：
Decomposition of structural models / 9.2.4：
Implementation tasks / 9.3：
Interpretation and learning tasks / 9.4：
Meaningful description of structural models / 9.4.1：
Tasks concerning distribution frameworks / 9.4.2：
Learning tasks / 9.4.3：
Appendix / A：
Classes of sets / A.1：
Posets and lattices / A.2：
Graphs / A.3：
Topological concepts / A.4：
Finite-dimensional subspaces and convex cones / A.5：
Linear subspaces / A.5.1：
Convex sets and cones / A.5.2：
Measure-theoretical concepts / A.6：
Measure and integral / A.6.1：
Basic measure-theoretical results / A.6.2：
Information-theoretical concepts / A.6.3：
Conditional probability / A.6.4：
Conditional independence in terms of ?-algebras / A.7：
Concepts from multivariate analysis / A.8：
Matrices / A.8.1：
Statistical characteristics of probability measures / A.8.2：
Multivariate Gaussian distributions / A.8.3：
Elementary statistical concepts / A.9：
Empirical concepts / A.9.1：
Statistical conception / A.9.2：
Likelihood function / A.9.3：
Testing statistical hypotheses / A.9.4：
Distribution framework / A.9.5：
List of Notation
List of Lemmas, Propositions etc
References
Index
Introduction / 1：
Motivational thoughts / 1.1：
Goals of the monograph / 1.2：
10.

電子ブック
ＥＢ
10. XML for Bioinformatics
Ethan Cerami
出版情報: Springer eBooks Computer Science , Springer New York, 2005
所蔵情報: loading…
目次情報: 続きを見る
Introduction to XML for Bioinformatics / 1：
Introduction to XML / 1.1：
XML Defined / 1.1.1：
Origins of XML / 1.1.2：
The XML Family of Specifications / 1.1.3：
Web Services Defined / 1.1.4：
Using XML for Biological Data Exchange / 1.2：
Case Study: The Distributed Annotation System / 1.2.1：
XML Formats for Bioinformatics / 1.2.2：
Evaluating XML Usage in Bioinformatics / 1.3：
Advantages of XML / 1.3.1：
Disadvantages of XML / 1.3.2：
Useful Resources / 1.4：
Articles / 1.4.1：
Web Site and Web Resources / 1.4.2：
Fundamentals of XML and BSML / 2：
Getting Started with BSML / 2.1：
Using Genomic Workspace / 2.1.1：
Fundamentals of XML / 2.2：
Working with Elements / 2.2.1：
Working with Attributes / 2.2.2：
The XML Prolog / 2.2.3：
Comments / 2.2.4：
Processing Instructions / 2.2.5：
Character Encoding / 2.2.6：
CDATA Sections / 2.2.7：
Creating Well-Formed XML Documents / 2.2.8：
Creating Valid XML Documents / 2.2.9：
Working with XML Parsers / 2.2.10：
Fundamentals of XML Namespaces / 2.3：
Why We Need XML Namespaces / 2.3.1：
Declaring and Using XML Namespaces / 2.3.2：
Declaring a Default Namespace / 2.3.3：
Fundamentals of BSML / 2.4：
BSML File Formats / 2.4.1：
BSML Document Structure / 2.4.2：
Representing Sequences / 2.4.3：
Representing Sequence Features / 2.4.4：
Retrieving Live BSML Data via XEMBL / 2.4.5：
DTDs for Bioinformatics / 2.5：
Introduction to DTDs / 3.1：
A Bird's-Eye View: Protein DTD / 3.1.1：
Validating XML Documents / 3.1.2：
Document Type Declarations / 3.2：
Declaring Elements / 3.3：
EMPTY / 3.3.1：
ANY / 3.3.2：
#PCDATA / 3.3.3：
Child Elements / 3.3.4：
Mixed Content / 3.3.5：
Declaring Attributes / 3.4：
Attribute Types / 3.4.1：
Attribute Behaviors / 3.4.2：
Working with Entities / 3.5：
General Entities / 3.5.1：
Parameter Entities / 3.5.2：
Entity Summary / 3.5.3：
Conditional DTD Sections / 3.5.4：
Case Study: NCBI TinySeq / 3.6：
NCBI and XML / 3.6.1：
The TinySeq DTD / 3.6.2：
XML Schemas for Bioinformatics / 4：
Introduction to XML Schemas / 4.1：
Essential Concepts: Representing Protein Data / 4.1.1：
The [left angle bracket]schema[right angle bracket] element / 4.2.1：
Schema Documentation / 4.2.2：
Simple Types vs. Complex Types / 4.2.3：
Global Elements vs. Local Elements / 4.2.4：
Creating Instance Documents / 4.2.5：
Validating Instance Documents / 4.2.6：
Working with Simple Types / 4.3：
Built-in Schema Types / 4.3.1：
Working with Facets / 4.3.2：
Working with Complex Types / 4.4：
Introduction to Complex Types / 4.4.1：
Declaring Empty Element Types / 4.4.2：
Declaring Mixed Element Types / 4.4.3：
Occurrence Constraints / 4.4.4：
Declaring Default Values / 4.4.5：
Compositors: Sequence and Choice / 4.4.6：
Defining Named Complex Types / 4.4.7：
All Together Now! / 4.4.8：
Basic Namespace Issues / 4.5：
Case Study: The HUPO PSI Molecular Interaction Format / 4.6：
PSI-MI Schema Overview / 4.6.1：
A Sample PSI-MI Instance Document / 4.6.2：
Working with the PSI-MI Controlled Vocabulary / 4.6.3：
Parsing NCBI XML in Perl / 5：
Introduction to XML Parsing in Perl / 5.1：
Tree-Based vs. Event-Based XML Parsers / 5.1.1：
Installing Modules via CPAN / 5.1.2：
The Simple API for XML (SAX) / 5.2：
Introduction to SAX / 5.2.1：
SAX and Bioinformatics Applications / 5.2.2：
SAX 2.0 / 5.2.3：
Introduction to XML::SAX / 5.2.4：
Using NCBI EFetch and XML::SAX / 5.2.5：
The Document Object Model (DOM) / 5.3：
DOM Traversal with XML::LibXML / 5.3.1：
Validating XML Documents with XML::LibXML / 5.3.2：
Creating New Documents with XML::LibXML / 5.3.3：
Using NCBI EFetch and XML::LibXML / 5.3.4：
The Distributed Annotation System (DAS) / 6：
Genome Annotation / 6.1：
Introduction to DAS / 6.2：
The WormBase DAS Viewer / 6.2.1：
DAS Protocol Overview / 6.3：
Getting Started / 6.3.1：
DAS Requests / 6.3.2：
DAS Responses / 6.3.3：
X-DAS-Capabilities Header / 6.3.4：
DAS Command Reference / 6.4：
Retrieving Data Sources / 6.4.1：
Retrieving Entry Points / 6.4.2：
Retrieving Sequence Data / 6.4.3：
Retrieving Annotations / 6.4.4：
Working with Reference Maps / 6.5：
Traversing the Ensembl Reference Map / 6.5.1：
Working with Evolving Reference Maps / 6.5.2：
The Future of DAS / 6.6：
Parsing DAS Data with SAX / 7：
A First Example / 7.1：
The XMLReader Interface / 7.1.2：
The ContentHandler Interface / 7.1.3：
Extending the DefaultHandler / 7.1.4：
Using InputSource Objects / 7.1.5：
Checking for Well-Formedness / 7.2：
Validating XML Documents: Overview / 7.2.2：
Activating the SAX Validation Feature / 7.2.3：
The ErrorHandler Interface / 7.2.4：
Validating against XML Schemas / 7.2.5：
Elements, Attributes, and Namespaces / 7.3：
Working with Elements and Namespaces / 7.3.1：
Building Custom Data Structures with SAX / 7.3.2：
Parsing DAS Feature Data / 7.4.1：
Integrating with BioJava / 7.4.2：
Parsing DAS Data with JDOM / 8：
JDOM Basics / 8.1：
JDOM Package Overview / 8.1.1：
Parsing XML Documents with JDOM / 8.1.2：
Parsing DAS Documents with JDOM / 8.2：
Introduction to the JDOM Element API / 8.2.1：
Traversing DAS Documents / 8.2.2：
Parsing DAS dsn Documents / 8.2.3：
Creating DAS Documents with JDOM / 8.3：
Creating New Documents / 8.3.1：
Creating New Elements / 8.3.2：
A Complete Example / 8.3.3：
Building the JDAS Library / 8.4：
Using JDAS / 8.4.1：
The JDAS Source Code / 8.4.2：
Web Services for Bioinformatics / 9：
Introduction to Web Services / 9.1：
Architectural Options / 9.1.1：
Case Study: Introduction to the NCI caBIO Project / 9.2：
Background: Connecting to caBIO via the Java RMI Interface / 9.2.1：
Introduction to REST-Based Web Services / 9.3：
Introduction to REST / 9.3.1：
Connecting to the caBIO REST Interface / 9.3.2：
Example Application: Command Line caBIO Browser / 9.3.3：
Introduction to SOAP / 9.4：
SOAP Overview / 9.4.1：
Constructing SOAP Messages / 9.4.2：
Transporting SOAP via HTTP / 9.4.3：
Introduction to Apache Axis / 9.5：
Building a Web Service with Axis / 9.5.1：
Connecting to caBIO with Axis / 9.5.2：
Appendix
Nucleotide Base Codes
Amino Acid Codes
Bibliography
Index
Introduction to XML for Bioinformatics / 1：
Introduction to XML / 1.1：
XML Defined / 1.1.1：
11.

電子ブック
ＥＢ
11. XML for Bioinformatics
Ethan Cerami
出版情報: SpringerLink Books - AutoHoldings , Springer New York, 2005
所蔵情報: loading…
目次情報: 続きを見る
Introduction to XML for Bioinformatics / 1：
Introduction to XML / 1.1：
XML Defined / 1.1.1：
Origins of XML / 1.1.2：
The XML Family of Specifications / 1.1.3：
Web Services Defined / 1.1.4：
Using XML for Biological Data Exchange / 1.2：
Case Study: The Distributed Annotation System / 1.2.1：
XML Formats for Bioinformatics / 1.2.2：
Evaluating XML Usage in Bioinformatics / 1.3：
Advantages of XML / 1.3.1：
Disadvantages of XML / 1.3.2：
Useful Resources / 1.4：
Articles / 1.4.1：
Web Site and Web Resources / 1.4.2：
Fundamentals of XML and BSML / 2：
Getting Started with BSML / 2.1：
Using Genomic Workspace / 2.1.1：
Fundamentals of XML / 2.2：
Working with Elements / 2.2.1：
Working with Attributes / 2.2.2：
The XML Prolog / 2.2.3：
Comments / 2.2.4：
Processing Instructions / 2.2.5：
Character Encoding / 2.2.6：
CDATA Sections / 2.2.7：
Creating Well-Formed XML Documents / 2.2.8：
Creating Valid XML Documents / 2.2.9：
Working with XML Parsers / 2.2.10：
Fundamentals of XML Namespaces / 2.3：
Why We Need XML Namespaces / 2.3.1：
Declaring and Using XML Namespaces / 2.3.2：
Declaring a Default Namespace / 2.3.3：
Fundamentals of BSML / 2.4：
BSML File Formats / 2.4.1：
BSML Document Structure / 2.4.2：
Representing Sequences / 2.4.3：
Representing Sequence Features / 2.4.4：
Retrieving Live BSML Data via XEMBL / 2.4.5：
DTDs for Bioinformatics / 2.5：
Introduction to DTDs / 3.1：
A Bird's-Eye View: Protein DTD / 3.1.1：
Validating XML Documents / 3.1.2：
Document Type Declarations / 3.2：
Declaring Elements / 3.3：
EMPTY / 3.3.1：
ANY / 3.3.2：
#PCDATA / 3.3.3：
Child Elements / 3.3.4：
Mixed Content / 3.3.5：
Declaring Attributes / 3.4：
Attribute Types / 3.4.1：
Attribute Behaviors / 3.4.2：
Working with Entities / 3.5：
General Entities / 3.5.1：
Parameter Entities / 3.5.2：
Entity Summary / 3.5.3：
Conditional DTD Sections / 3.5.4：
Case Study: NCBI TinySeq / 3.6：
NCBI and XML / 3.6.1：
The TinySeq DTD / 3.6.2：
XML Schemas for Bioinformatics / 4：
Introduction to XML Schemas / 4.1：
Essential Concepts: Representing Protein Data / 4.1.1：
The [left angle bracket]schema[right angle bracket] element / 4.2.1：
Schema Documentation / 4.2.2：
Simple Types vs. Complex Types / 4.2.3：
Global Elements vs. Local Elements / 4.2.4：
Creating Instance Documents / 4.2.5：
Validating Instance Documents / 4.2.6：
Working with Simple Types / 4.3：
Built-in Schema Types / 4.3.1：
Working with Facets / 4.3.2：
Working with Complex Types / 4.4：
Introduction to Complex Types / 4.4.1：
Declaring Empty Element Types / 4.4.2：
Declaring Mixed Element Types / 4.4.3：
Occurrence Constraints / 4.4.4：
Declaring Default Values / 4.4.5：
Compositors: Sequence and Choice / 4.4.6：
Defining Named Complex Types / 4.4.7：
All Together Now! / 4.4.8：
Basic Namespace Issues / 4.5：
Case Study: The HUPO PSI Molecular Interaction Format / 4.6：
PSI-MI Schema Overview / 4.6.1：
A Sample PSI-MI Instance Document / 4.6.2：
Working with the PSI-MI Controlled Vocabulary / 4.6.3：
Parsing NCBI XML in Perl / 5：
Introduction to XML Parsing in Perl / 5.1：
Tree-Based vs. Event-Based XML Parsers / 5.1.1：
Installing Modules via CPAN / 5.1.2：
The Simple API for XML (SAX) / 5.2：
Introduction to SAX / 5.2.1：
SAX and Bioinformatics Applications / 5.2.2：
SAX 2.0 / 5.2.3：
Introduction to XML::SAX / 5.2.4：
Using NCBI EFetch and XML::SAX / 5.2.5：
The Document Object Model (DOM) / 5.3：
DOM Traversal with XML::LibXML / 5.3.1：
Validating XML Documents with XML::LibXML / 5.3.2：
Creating New Documents with XML::LibXML / 5.3.3：
Using NCBI EFetch and XML::LibXML / 5.3.4：
The Distributed Annotation System (DAS) / 6：
Genome Annotation / 6.1：
Introduction to DAS / 6.2：
The WormBase DAS Viewer / 6.2.1：
DAS Protocol Overview / 6.3：
Getting Started / 6.3.1：
DAS Requests / 6.3.2：
DAS Responses / 6.3.3：
X-DAS-Capabilities Header / 6.3.4：
DAS Command Reference / 6.4：
Retrieving Data Sources / 6.4.1：
Retrieving Entry Points / 6.4.2：
Retrieving Sequence Data / 6.4.3：
Retrieving Annotations / 6.4.4：
Working with Reference Maps / 6.5：
Traversing the Ensembl Reference Map / 6.5.1：
Working with Evolving Reference Maps / 6.5.2：
The Future of DAS / 6.6：
Parsing DAS Data with SAX / 7：
A First Example / 7.1：
The XMLReader Interface / 7.1.2：
The ContentHandler Interface / 7.1.3：
Extending the DefaultHandler / 7.1.4：
Using InputSource Objects / 7.1.5：
Checking for Well-Formedness / 7.2：
Validating XML Documents: Overview / 7.2.2：
Activating the SAX Validation Feature / 7.2.3：
The ErrorHandler Interface / 7.2.4：
Validating against XML Schemas / 7.2.5：
Elements, Attributes, and Namespaces / 7.3：
Working with Elements and Namespaces / 7.3.1：
Building Custom Data Structures with SAX / 7.3.2：
Parsing DAS Feature Data / 7.4.1：
Integrating with BioJava / 7.4.2：
Parsing DAS Data with JDOM / 8：
JDOM Basics / 8.1：
JDOM Package Overview / 8.1.1：
Parsing XML Documents with JDOM / 8.1.2：
Parsing DAS Documents with JDOM / 8.2：
Introduction to the JDOM Element API / 8.2.1：
Traversing DAS Documents / 8.2.2：
Parsing DAS dsn Documents / 8.2.3：
Creating DAS Documents with JDOM / 8.3：
Creating New Documents / 8.3.1：
Creating New Elements / 8.3.2：
A Complete Example / 8.3.3：
Building the JDAS Library / 8.4：
Using JDAS / 8.4.1：
The JDAS Source Code / 8.4.2：
Web Services for Bioinformatics / 9：
Introduction to Web Services / 9.1：
Architectural Options / 9.1.1：
Case Study: Introduction to the NCI caBIO Project / 9.2：
Background: Connecting to caBIO via the Java RMI Interface / 9.2.1：
Introduction to REST-Based Web Services / 9.3：
Introduction to REST / 9.3.1：
Connecting to the caBIO REST Interface / 9.3.2：
Example Application: Command Line caBIO Browser / 9.3.3：
Introduction to SOAP / 9.4：
SOAP Overview / 9.4.1：
Constructing SOAP Messages / 9.4.2：
Transporting SOAP via HTTP / 9.4.3：
Introduction to Apache Axis / 9.5：
Building a Web Service with Axis / 9.5.1：
Connecting to caBIO with Axis / 9.5.2：
Appendix
Nucleotide Base Codes
Amino Acid Codes
Bibliography
Index
Introduction to XML for Bioinformatics / 1：
Introduction to XML / 1.1：
XML Defined / 1.1.1：
12.

図書
図書
12. Physics and Chemistry of SiO2 and the Si-SiO2 Interface-5
editors, H. Z. Massoud ... [et al.]; sponsoring divisions, Electronics and Photonics, Dielectrics Science and Technology
出版情報: Pennington, N.J. : Electrochemical Society, c2005  ix, 304 p. ; 24 cm
シリーズ名: ECS transactions ; vol. 1, no. 1
所蔵情報: loading…
13.

電子ブック
ＥＢ
13. Biometric Systems
Anil; Maio, Dario; Maltoni, Davide; Wayman, James Jain, Anil Jain, James Wayman, James L. Wayman, Dario Maio, Davide Maltoni
出版情報: Springer eBooks Computer Science , Springer London, 2005
所蔵情報: loading…
目次情報: 続きを見る
Preface
An Introduction to Biometric Authentication Systems / 1：
Introduction / 1.1：
A Quick Historical Overview / 1.2：
The "Best" Biometric Characteristic / 1.3：
The Applications / 1.4：
A Taxonomy of Uses / 1.5：
A Taxonomy of Application Environments / 1.6：
Overt Versus Covert / 1.6.1：
Habituated Versus Non-Habituated / 1.6.2：
Attended Versus Non-Attended / 1.6.3：
Standard Versus Non-Standard Environment / 1.6.4：
Public Versus Private / 1.6.5：
Open Versus Closed / 1.6.6：
Examples of the Classification of Applications / 1.6.7：
A System Model / 1.7：
Data Collection / 1.7.1：
Transmission / 1.7.2：
Signal Processing / 1.7.3：
Storage / 1.7.4：
Decision / 1.7.5：
Biometrics and Privacy / 1.8：
The Road Ahead / 1.9：
References
Fingerprint Identification Technology / 2：
History / 2.1：
Early Biometric Efforts / 2.1.1：
Applications of Fingerprints / 2.2：
Forensics / 2.2.1：
Genetics / 2.2.2：
Civil and Commercial / 2.2.3：
Government / 2.2.4：
Early Systems / 2.3：
Manual Card Files / 2.3.1：
Classification / 2.3.2：
Searching / 2.3.3：
Matching / 2.3.4：
Early Automation Efforts / 2.4：
US NBS/NIST Research / 2.4.1：
Royal Canadian Police / 2.4.2：
FBI / 2.4.3：
United Kingdom / 2.4.4：
Japan / 2.4.5：
The Technology / 2.5：
Scanning and Digitizing / 2.5.1：
Enhancement / 2.5.2：
Feature Extraction / 2.5.3：
Manual Verification / 2.5.4：
Criminal Applications / 2.6：
National Systems / 2.6.1：
Local Systems / 2.6.2：
Interoperability / 2.6.3：
"Daubert" Questions / 2.6.4：
Civil Applications / 2.7：
Welfare Fraud Reduction / 2.7.1：
Border Control / 2.7.2：
Driver registration / 2.7.3：
Commercial Applications / 2.8：
Miniaturized Sensors / 2.8.1：
Personal Access Protection / 2.8.2：
Banking Security / 2.8.3：
Business-to-Business Transactions / 2.8.4：
Iris Recognition / 3：
Anatomical and Physiological Underpinnings / 3.1：
Sensing / 3.3：
Iris signature representation and matching / 3.4：
Localization / 3.4.1：
Representation / 3.4.2：
Systems and performance / 3.4.3：
Future directions / 3.6：
Face Recognition / 4：
Background / 4.1：
Face Detection / 4.3：
Face Recognition: Representation and Classification / 4.4：
Some Representation Techniques and Their Applications to Face Recognition / 4.4.1：
Some Classification Techniques and Their Applications to Face Recognition / 4.4.2：
Kernel-Based Methods and 3D Model-based Methods for Face Recognition / 4.5：
Learning the Face Space / 4.6：
Evolutionary Pursuit / 4.6.1：
Face Recognition Using Evolutionary Pursuit / 4.6.2：
Conclusion / 4.7：
Elements of Speaker Verification / 5：
The Speaker Verification Problem / 5.1：
Features and Models / 5.2：
Speech Features / 5.2.1：
Speaker Models / 5.2.2：
Additional Methods for Managing Variability / 5.3：
Channel Normalization and Modeling / 5.3.1：
Constraining the Text / 5.3.2：
Measuring Performance / 5.4：
How Well do These Systems Perform? / 5.4.1：
Alternative Approaches / 5.5：
Speech Recognition Approaches / 5.5.1：
Words (and Phonetic Units) Count / 5.5.2：
Models Exploring the Shape of Feature Space / 5.5.3：
Summary / 5.6：
Technology Evaluation of Fingerprint Verification Algorithms / 6：
FVC2000 Organization and Algorithms Submission Rules / 6.1：
Databases / 6.3：
Performance Evaluation / 6.4：
Results / 6.5：
Organization of FVC2002 / 6.6：
Conclusions / 6.7：
Appendix A
Appendix B
Methods for Assessing Progress in Face Recognition / 7：
Face Recognition Evaluations / 7.1：
Introduction to FERET and FRVT 2000 / 7.2.1：
September 1996 FERET Evaluation Protocol / 7.2.2：
Data Sets / 7.2.3：
FERET and FRVT 2000 Results / 7.2.4：
Conclusions Drawn from the FERET Evaluations and FRVT 2000 / 7.2.5：
Meta-Analysis / 7.3：
Introduction to Meta-Analysis / 7.3.1：
Methodology for Selecting Papers / 7.3.2：
Analysis of Performance Scores - Viewing the Data Through Histograms / 7.3.3：
Evaluation of Experiments with a Baseline / 7.3.4：
Meta-Analysis Conclusions / 7.3.5：
Acknowledgements / 7.4：
The NIST speaker recognition evaluation program / 8：
NIST Speaker Recognition Evaluation Tasks / 8.1：
One-Speaker Detection / 8.2.1：
Two-Speaker Detection / 8.2.2：
Speaker Tracking / 8.2.3：
Speaker Segmentation / 8.2.4：
Data / 8.3：
Speaker Training / 8.3.1：
Test Segments / 8.3.2：
Performance Measure / 8.4：
Evaluation Results / 8.5：
Factors Affecting Detection Performance / 8.6：
Duration / 8.6.1：
Pitch / 8.6.2：
Handset Differences / 8.6.3：
Handset Type / 8.6.4：
Landline vs. Cellular / 8.6.5：
Extended Data Evaluation / 8.7：
Multimodal Evaluation / 8.8：
Future Plans / 8.9：
Large-Scale Identification System Design / 9：
Historical Background / 9.1：
Large-Scale Identification Systems: Requirements and Basic Features / 9.1.2：
Extrapolation of Accuracy / 9.2：
Key Concepts / 9.2.1：
Method 1: Extrapolation from Experiences / 9.2.3：
Method 2: Identification as a Succession of N Verifications / 9.2.4：
Method 3: Extrapolation with Extreme Value / 9.2.5：
Method 4: Extrapolation when the Distance Can Be Modeled / 9.2.6：
Influence of Classification / 9.2.7：
Appendix / 9.3：
Biometric System Integration / 10：
Understanding, Describing and Documenting the Requirements / 10.1：
Choosing the Technology / 10.2：
Application Development / 10.3：
Integration with Existing System Architecture / 10.4：
Templates and Enrollment Management / 10.5：
Understanding User Psychology / 10.6：
Fine Tuning the System / 10.7：
Ongoing Management / 10.8：
Related Issues / 10.9：
Biometrics and the US Constitution / 11：
Privacy Versus Security; Mankind Versus Machine / 11.1：
The Growth of Both Anonymous Public Transactions and the Complexity of Identification / 11.1.2：
Constitutional Concerns / 11.1.3：
Due Process / 11.2：
Entitlements and Rights / 11.2.1：
Instrumental and Intrinsic Approaches / 11.2.2：
Constitutional Development: From the Intrinsic to the Instrumental Approach of Procedural Due Process / 11.2.3：
The Enigma of Substantive Due Process / 11.2.4：
Individual Privacy / 11.3：
The Basis of an Inferred Right to Privacy / 11.3.1：
Privacy and the Fourth Amendment / 11.3.2：
Privacy and the Fifth Amendment / 11.3.3：
Privacy of Personal Information / 11.3.4：
References and Notes / 11.4：
Privacy Issues in the Application of Biometrics: a European Perspective / 12：
Privacy - from Philosophical Concept to a Human Right / 12.1：
The European Personal Data Directive / 12.3：
Applying the Directive and National Laws to Biometric Systems / 12.4：
Biometric Data as "Personal Data" / 12.4.1：
Biometrics and Sensitive Data / 12.4.2：
Proportionality Principle / 12.4.3：
First Principle Compliance - Fair and Lawful Processing / 12.4.4：
Fourth Principle Compliance - Accuracy / 12.4.5：
Seventh Principle Compliance - Security / 12.4.6：
Eighth Principle Compliance - Transfer to Third Countries / 12.4.7：
Automatic Decision-Making / 12.4.8：
Exemptions / 12.4.9：
Article 8 of the European Human Rights Convention / 12.5：
The Role of Privacy-Enhancing Technologies / 12.6：
Looking to the Future / 12.7：
Social and Psychological Context of the Application of Biometric Methods / 12.8：
Index / 12.9：
Preface
An Introduction to Biometric Authentication Systems / 1：
Introduction / 1.1：
14.

電子ブック
ＥＢ
14. Biometric Systems
Anil; Maio, Dario; Maltoni, Davide; Wayman, James Jain, Anil Jain, James Wayman, James L. Wayman, Dario Maio, Davide Maltoni, Anil K. Jain
出版情報: SpringerLink Books - AutoHoldings , Springer London, 2005
所蔵情報: loading…
目次情報: 続きを見る
Preface
An Introduction to Biometric Authentication Systems / 1：
Introduction / 1.1：
A Quick Historical Overview / 1.2：
The "Best" Biometric Characteristic / 1.3：
The Applications / 1.4：
A Taxonomy of Uses / 1.5：
A Taxonomy of Application Environments / 1.6：
Overt Versus Covert / 1.6.1：
Habituated Versus Non-Habituated / 1.6.2：
Attended Versus Non-Attended / 1.6.3：
Standard Versus Non-Standard Environment / 1.6.4：
Public Versus Private / 1.6.5：
Open Versus Closed / 1.6.6：
Examples of the Classification of Applications / 1.6.7：
A System Model / 1.7：
Data Collection / 1.7.1：
Transmission / 1.7.2：
Signal Processing / 1.7.3：
Storage / 1.7.4：
Decision / 1.7.5：
Biometrics and Privacy / 1.8：
The Road Ahead / 1.9：
References
Fingerprint Identification Technology / 2：
History / 2.1：
Early Biometric Efforts / 2.1.1：
Applications of Fingerprints / 2.2：
Forensics / 2.2.1：
Genetics / 2.2.2：
Civil and Commercial / 2.2.3：
Government / 2.2.4：
Early Systems / 2.3：
Manual Card Files / 2.3.1：
Classification / 2.3.2：
Searching / 2.3.3：
Matching / 2.3.4：
Early Automation Efforts / 2.4：
US NBS/NIST Research / 2.4.1：
Royal Canadian Police / 2.4.2：
FBI / 2.4.3：
United Kingdom / 2.4.4：
Japan / 2.4.5：
The Technology / 2.5：
Scanning and Digitizing / 2.5.1：
Enhancement / 2.5.2：
Feature Extraction / 2.5.3：
Manual Verification / 2.5.4：
Criminal Applications / 2.6：
National Systems / 2.6.1：
Local Systems / 2.6.2：
Interoperability / 2.6.3：
"Daubert" Questions / 2.6.4：
Civil Applications / 2.7：
Welfare Fraud Reduction / 2.7.1：
Border Control / 2.7.2：
Driver registration / 2.7.3：
Commercial Applications / 2.8：
Miniaturized Sensors / 2.8.1：
Personal Access Protection / 2.8.2：
Banking Security / 2.8.3：
Business-to-Business Transactions / 2.8.4：
Iris Recognition / 3：
Anatomical and Physiological Underpinnings / 3.1：
Sensing / 3.3：
Iris signature representation and matching / 3.4：
Localization / 3.4.1：
Representation / 3.4.2：
Systems and performance / 3.4.3：
Future directions / 3.6：
Face Recognition / 4：
Background / 4.1：
Face Detection / 4.3：
Face Recognition: Representation and Classification / 4.4：
Some Representation Techniques and Their Applications to Face Recognition / 4.4.1：
Some Classification Techniques and Their Applications to Face Recognition / 4.4.2：
Kernel-Based Methods and 3D Model-based Methods for Face Recognition / 4.5：
Learning the Face Space / 4.6：
Evolutionary Pursuit / 4.6.1：
Face Recognition Using Evolutionary Pursuit / 4.6.2：
Conclusion / 4.7：
Elements of Speaker Verification / 5：
The Speaker Verification Problem / 5.1：
Features and Models / 5.2：
Speech Features / 5.2.1：
Speaker Models / 5.2.2：
Additional Methods for Managing Variability / 5.3：
Channel Normalization and Modeling / 5.3.1：
Constraining the Text / 5.3.2：
Measuring Performance / 5.4：
How Well do These Systems Perform? / 5.4.1：
Alternative Approaches / 5.5：
Speech Recognition Approaches / 5.5.1：
Words (and Phonetic Units) Count / 5.5.2：
Models Exploring the Shape of Feature Space / 5.5.3：
Summary / 5.6：
Technology Evaluation of Fingerprint Verification Algorithms / 6：
FVC2000 Organization and Algorithms Submission Rules / 6.1：
Databases / 6.3：
Performance Evaluation / 6.4：
Results / 6.5：
Organization of FVC2002 / 6.6：
Conclusions / 6.7：
Appendix A
Appendix B
Methods for Assessing Progress in Face Recognition / 7：
Face Recognition Evaluations / 7.1：
Introduction to FERET and FRVT 2000 / 7.2.1：
September 1996 FERET Evaluation Protocol / 7.2.2：
Data Sets / 7.2.3：
FERET and FRVT 2000 Results / 7.2.4：
Conclusions Drawn from the FERET Evaluations and FRVT 2000 / 7.2.5：
Meta-Analysis / 7.3：
Introduction to Meta-Analysis / 7.3.1：
Methodology for Selecting Papers / 7.3.2：
Analysis of Performance Scores - Viewing the Data Through Histograms / 7.3.3：
Evaluation of Experiments with a Baseline / 7.3.4：
Meta-Analysis Conclusions / 7.3.5：
Acknowledgements / 7.4：
The NIST speaker recognition evaluation program / 8：
NIST Speaker Recognition Evaluation Tasks / 8.1：
One-Speaker Detection / 8.2.1：
Two-Speaker Detection / 8.2.2：
Speaker Tracking / 8.2.3：
Speaker Segmentation / 8.2.4：
Data / 8.3：
Speaker Training / 8.3.1：
Test Segments / 8.3.2：
Performance Measure / 8.4：
Evaluation Results / 8.5：
Factors Affecting Detection Performance / 8.6：
Duration / 8.6.1：
Pitch / 8.6.2：
Handset Differences / 8.6.3：
Handset Type / 8.6.4：
Landline vs. Cellular / 8.6.5：
Extended Data Evaluation / 8.7：
Multimodal Evaluation / 8.8：
Future Plans / 8.9：
Large-Scale Identification System Design / 9：
Historical Background / 9.1：
Large-Scale Identification Systems: Requirements and Basic Features / 9.1.2：
Extrapolation of Accuracy / 9.2：
Key Concepts / 9.2.1：
Method 1: Extrapolation from Experiences / 9.2.3：
Method 2: Identification as a Succession of N Verifications / 9.2.4：
Method 3: Extrapolation with Extreme Value / 9.2.5：
Method 4: Extrapolation when the Distance Can Be Modeled / 9.2.6：
Influence of Classification / 9.2.7：
Appendix / 9.3：
Biometric System Integration / 10：
Understanding, Describing and Documenting the Requirements / 10.1：
Choosing the Technology / 10.2：
Application Development / 10.3：
Integration with Existing System Architecture / 10.4：
Templates and Enrollment Management / 10.5：
Understanding User Psychology / 10.6：
Fine Tuning the System / 10.7：
Ongoing Management / 10.8：
Related Issues / 10.9：
Biometrics and the US Constitution / 11：
Privacy Versus Security; Mankind Versus Machine / 11.1：
The Growth of Both Anonymous Public Transactions and the Complexity of Identification / 11.1.2：
Constitutional Concerns / 11.1.3：
Due Process / 11.2：
Entitlements and Rights / 11.2.1：
Instrumental and Intrinsic Approaches / 11.2.2：
Constitutional Development: From the Intrinsic to the Instrumental Approach of Procedural Due Process / 11.2.3：
The Enigma of Substantive Due Process / 11.2.4：
Individual Privacy / 11.3：
The Basis of an Inferred Right to Privacy / 11.3.1：
Privacy and the Fourth Amendment / 11.3.2：
Privacy and the Fifth Amendment / 11.3.3：
Privacy of Personal Information / 11.3.4：
References and Notes / 11.4：
Privacy Issues in the Application of Biometrics: a European Perspective / 12：
Privacy - from Philosophical Concept to a Human Right / 12.1：
The European Personal Data Directive / 12.3：
Applying the Directive and National Laws to Biometric Systems / 12.4：
Biometric Data as "Personal Data" / 12.4.1：
Biometrics and Sensitive Data / 12.4.2：
Proportionality Principle / 12.4.3：
First Principle Compliance - Fair and Lawful Processing / 12.4.4：
Fourth Principle Compliance - Accuracy / 12.4.5：
Seventh Principle Compliance - Security / 12.4.6：
Eighth Principle Compliance - Transfer to Third Countries / 12.4.7：
Automatic Decision-Making / 12.4.8：
Exemptions / 12.4.9：
Article 8 of the European Human Rights Convention / 12.5：
The Role of Privacy-Enhancing Technologies / 12.6：
Looking to the Future / 12.7：
Social and Psychological Context of the Application of Biometric Methods / 12.8：
Index / 12.9：
Preface
An Introduction to Biometric Authentication Systems / 1：
Introduction / 1.1：
15.

電子ブック
ＥＢ
15. Multiobjective Evolutionary Algorithms and Applications
K. C. Tan, E. F. Khor, Tong Heng Lee, T. H. Lee
出版情報: Springer eBooks Computer Science , Springer London, 2005
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1：
Definition / 1.1：
Multiobjective Optimization / 1.2：
Preview of Chapters / 1.3：
Review of MOEAs / 2：
Survey of MOEAs / 2.1：
Development Trends / 2.3：
Outline of Algorithms / 2.4：
Conclusions / 2.5：
Conceptual Framework and Distribution Preservation Mechanisms for MOEAs / 3：
A Conceptual Framework / 3.1：
Individual Assessment / 3.2.1：
Elitism / 3.2.2：
Density Assessment / 3.2.3：
Distribution Preservation Mechanisms / 3.3：
Performance Metrics on Distribution Quality / 3.3.1：
Evaluation and Comparison / 3.3.2：
Decision Supports and Advanced Features for MOEAs / 3.4：
Domination Scheme / 4.1：
Pareto-based Domination with Goal Information / 4.2.1：
Goal-Sequence Domination Scheme with Soft/Hard Priority Specifications / 4.2.2：
Optimization with Soft/Hard Constraints / 4.2.3：
Logical Connectives Among Goal and Priority Specifications / 4.2.4：
A Multiobjective Evolutionary Algorithm / 4.3：
Dynamic Sharing Distance / 4.3.1：
MOEA Program Flowchart / 4.3.2：
Convergence Trace for MO Optimization / 4.3.3：
Simulation Studies / 4.4：
Dynamic Population Size and Local Exploration for MOEAs / 4.5：
Incrementing Multiobjective Evolutionary Algorithm / 5.1：
Dynamic Population Size / 5.2.1：
Fuzzy Boundary Local Perturbation / 5.2.2：
Program Flowchart of IMOEA / 5.2.3：
A Distributed Cooperative Coevolutionary Multiobjective Algorithm / 5.3：
A Cooperative Coevolutionary Algorithm / 6.1：
Coevolution Mechanism / 6.2.1：
Adaptation of Cooperative Coevolution for MO Optimization / 6.2.2：
Extending Operator / 6.2.3：
Flowchart of CCEA / 6.2.4：
A Distributed Cooperative Coevolutionary Algorithm / 6.3：
Distributed Evolutionary Computing / 6.3.1：
A Distributed CCEA (DCCEA) / 6.3.2：
Implementation of DCCEA / 6.3.3：
Workload Balancing / 6.3.4：
Performance Metrics / 6.4：
MO Test Problems / 6.4.2：
Simulation Results of CCEA / 6.4.3：
Simulation Results of DCCEA / 6.4.4：
Learning the Search Range in Dynamic Environments / 6.5：
Adaptive Search Space / 7.1：
Single-Objective Optimization / 7.3：
Multiobjective Optimization I / 7.3.2：
Multiobjective Optimization II / 7.3.3：
Performance Assessment and Comparison of MOEAs / 7.4：
MO Performance Metrics / 8.1：
Test Problems of ZDT1, ZDT2, ZDT3, ZDT4, and ZDT6 / 8.3：
Test Problems of FON, KUR, and POL / 8.3.2：
Test Problem of TLK / 8.3.3：
Test Problem of TLK2 / 8.3.4：
A Multiobjective Evolutionary Algorithm Toolbox / 8.4：
Roles and Features of MOEA Toolbox / 9.1：
GUIs of MOEA Toolbox / 9.2.1：
Advanced Settings / 9.2.2：
"Model" File / 9.2.3：
Evolutionary Computer-Aided Control System Design / 9.3：
Performance-based Design Unification and Automation / 10.1：
Design Architecture / 10.2.1：
Control System Formulation / 10.2.2：
Performance Specifications / 10.2.3：
Evolutionary ULTIC Design Application / 10.3：
Evolutionary Design Automation of Multivariable QFT Control System / 10.4：
Problem Formulation / 11.1：
Overview of Tracking and Cross-Coupling Specifications / 11.2.1：
MO QFT Design Formulation / 11.2.2：
MIMO QFT Control Problem / 11.3：
Evolutionary Design of HDD Servo Control System / 11.4：
The Physical HDD Model / 12.1：
Design of HDD Servo Control System / 12.3：
The HDD Design Specifications / 12.3.1：
Evolutionary Design / 12.3.2：
Conventional Controllers / 12.3.3：
Robustness Validation / 12.3.4：
Real-Time Implementation / 12.3.5：
Evolutionary Scheduling - VRPTW / 12.4：
The Problem Formulation / 13.1：
Problem Modeling of VRPTW / 13.2.1：
Solomon's 56 Benchmark Problems for VRPTW / 13.2.2：
A Hybrid Multiobjective Evolutionary Algorithm / 13.3：
Multiobjective Evolutionary Algorithms in Combinatorial Applications / 13.3.1：
Program Flowchart of HMOEA / 13.3.2：
Variable-Length Chromosome Representation / 13.3.3：
Specialized Genetic Operators / 13.3.4：
Pareto Fitness Ranking / 13.3.5：
Local Search Exploitation / 13.3.6：
Simulation Results and Comparisons / 13.4：
System Specification / 13.4.1：
MO Optimization Performance / 13.4.2：
Specialized Operators and Hybrid Local Search Performance / 13.4.3：
Performance Comparisons / 13.4.4：
Evolutionary Scheduling - TTVRP / 13.5：
The Problem Scenario / 14.1：
Modeling the Problem Scenarios / 14.2.1：
Mathematical Model / 14.2.2：
Generation of Test Cases / 14.2.3：
Computation Results / 14.3：
Computation Results for TEPC and LTTC / 14.3.1：
Comparison Results / 14.3.3：
Bibliography / 14.4：
Index
Introduction / 1：
Definition / 1.1：
Multiobjective Optimization / 1.2：
16.

電子ブック
ＥＢ
16. Multiobjective Evolutionary Algorithms and Applications
K. C. Tan, E. F. Khor, Tong Heng Lee, T. H. Lee, Eik Fun Khor, Kay CHen Tan
出版情報: SpringerLink Books - AutoHoldings , Springer London, 2005
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1：
Definition / 1.1：
Multiobjective Optimization / 1.2：
Preview of Chapters / 1.3：
Review of MOEAs / 2：
Survey of MOEAs / 2.1：
Development Trends / 2.3：
Outline of Algorithms / 2.4：
Conclusions / 2.5：
Conceptual Framework and Distribution Preservation Mechanisms for MOEAs / 3：
A Conceptual Framework / 3.1：
Individual Assessment / 3.2.1：
Elitism / 3.2.2：
Density Assessment / 3.2.3：
Distribution Preservation Mechanisms / 3.3：
Performance Metrics on Distribution Quality / 3.3.1：
Evaluation and Comparison / 3.3.2：
Decision Supports and Advanced Features for MOEAs / 3.4：
Domination Scheme / 4.1：
Pareto-based Domination with Goal Information / 4.2.1：
Goal-Sequence Domination Scheme with Soft/Hard Priority Specifications / 4.2.2：
Optimization with Soft/Hard Constraints / 4.2.3：
Logical Connectives Among Goal and Priority Specifications / 4.2.4：
A Multiobjective Evolutionary Algorithm / 4.3：
Dynamic Sharing Distance / 4.3.1：
MOEA Program Flowchart / 4.3.2：
Convergence Trace for MO Optimization / 4.3.3：
Simulation Studies / 4.4：
Dynamic Population Size and Local Exploration for MOEAs / 4.5：
Incrementing Multiobjective Evolutionary Algorithm / 5.1：
Dynamic Population Size / 5.2.1：
Fuzzy Boundary Local Perturbation / 5.2.2：
Program Flowchart of IMOEA / 5.2.3：
A Distributed Cooperative Coevolutionary Multiobjective Algorithm / 5.3：
A Cooperative Coevolutionary Algorithm / 6.1：
Coevolution Mechanism / 6.2.1：
Adaptation of Cooperative Coevolution for MO Optimization / 6.2.2：
Extending Operator / 6.2.3：
Flowchart of CCEA / 6.2.4：
A Distributed Cooperative Coevolutionary Algorithm / 6.3：
Distributed Evolutionary Computing / 6.3.1：
A Distributed CCEA (DCCEA) / 6.3.2：
Implementation of DCCEA / 6.3.3：
Workload Balancing / 6.3.4：
Performance Metrics / 6.4：
MO Test Problems / 6.4.2：
Simulation Results of CCEA / 6.4.3：
Simulation Results of DCCEA / 6.4.4：
Learning the Search Range in Dynamic Environments / 6.5：
Adaptive Search Space / 7.1：
Single-Objective Optimization / 7.3：
Multiobjective Optimization I / 7.3.2：
Multiobjective Optimization II / 7.3.3：
Performance Assessment and Comparison of MOEAs / 7.4：
MO Performance Metrics / 8.1：
Test Problems of ZDT1, ZDT2, ZDT3, ZDT4, and ZDT6 / 8.3：
Test Problems of FON, KUR, and POL / 8.3.2：
Test Problem of TLK / 8.3.3：
Test Problem of TLK2 / 8.3.4：
A Multiobjective Evolutionary Algorithm Toolbox / 8.4：
Roles and Features of MOEA Toolbox / 9.1：
GUIs of MOEA Toolbox / 9.2.1：
Advanced Settings / 9.2.2：
"Model" File / 9.2.3：
Evolutionary Computer-Aided Control System Design / 9.3：
Performance-based Design Unification and Automation / 10.1：
Design Architecture / 10.2.1：
Control System Formulation / 10.2.2：
Performance Specifications / 10.2.3：
Evolutionary ULTIC Design Application / 10.3：
Evolutionary Design Automation of Multivariable QFT Control System / 10.4：
Problem Formulation / 11.1：
Overview of Tracking and Cross-Coupling Specifications / 11.2.1：
MO QFT Design Formulation / 11.2.2：
MIMO QFT Control Problem / 11.3：
Evolutionary Design of HDD Servo Control System / 11.4：
The Physical HDD Model / 12.1：
Design of HDD Servo Control System / 12.3：
The HDD Design Specifications / 12.3.1：
Evolutionary Design / 12.3.2：
Conventional Controllers / 12.3.3：
Robustness Validation / 12.3.4：
Real-Time Implementation / 12.3.5：
Evolutionary Scheduling - VRPTW / 12.4：
The Problem Formulation / 13.1：
Problem Modeling of VRPTW / 13.2.1：
Solomon's 56 Benchmark Problems for VRPTW / 13.2.2：
A Hybrid Multiobjective Evolutionary Algorithm / 13.3：
Multiobjective Evolutionary Algorithms in Combinatorial Applications / 13.3.1：
Program Flowchart of HMOEA / 13.3.2：
Variable-Length Chromosome Representation / 13.3.3：
Specialized Genetic Operators / 13.3.4：
Pareto Fitness Ranking / 13.3.5：
Local Search Exploitation / 13.3.6：
Simulation Results and Comparisons / 13.4：
System Specification / 13.4.1：
MO Optimization Performance / 13.4.2：
Specialized Operators and Hybrid Local Search Performance / 13.4.3：
Performance Comparisons / 13.4.4：
Evolutionary Scheduling - TTVRP / 13.5：
The Problem Scenario / 14.1：
Modeling the Problem Scenarios / 14.2.1：
Mathematical Model / 14.2.2：
Generation of Test Cases / 14.2.3：
Computation Results / 14.3：
Computation Results for TEPC and LTTC / 14.3.1：
Comparison Results / 14.3.3：
Bibliography / 14.4：
Index
Introduction / 1：
Definition / 1.1：
Multiobjective Optimization / 1.2：
17.

学位論文
学位
17. (γ, 2γ)法で探る多電子励起H[2], N[2]分子
村田誠
出版情報: 東京 : 東京工業大学, 2005
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18.

図書
図書
18. Inorganic substances other than oxides : (NH[4])[2]SO[4] family ... K[3]BiCl[6]・2KCl・KH[3]F[4]
editors, Y. Shiozaki, E. Nakamura, T. Mitsui ; authors, E. Nakamura ... [et al.]
出版情報: Berlin : Springer, c2005  x, 488 p. ; 28 cm.
シリーズ名: Landolt-Börnstein Zahlenwerte und Funktionen aus Naturwissenschaften und Technik, Neue Serie / Gesamtherausgabe, K.-H. Hellwege ; Group 3 . Condensed matter ; v. 36 . Ferroelectrics and related substances ; subv. B2
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Introduction.
(NH4)2SO4 family
NH4HSO4 family
NH4LiSO4 family
(NH4)3H(SO4)2 family
Langbeinite-type family
Lecontite (NaNH4SO4 + 2H2O) family
Alum family
GASH (C(NH2)3Al(SO4)2 + 6H2O) family
Colemanite (Ca2B6O11 + 5H2O)
K4Fe(CN)6 + 3H2O family
K3BiCl6 + 2KCl + KH3F4, Miscellaneous crystals
SnTe group
PbN6, Sb2S3, Sb5O7I, H2O, KOH group
KSCN, Na3Sc2(PO4)3
H2(UO2)2(AsO4)2 + 8H2O, Li(N2H5)SO4 group
N(CH3)4HSO4 + H2O, Ag2H3IO6 group
TlNbWO6 + nH2O
NH4PF6 + NH4F
Introduction.
(NH4)2SO4 family
NH4HSO4 family
19.

電子ブック
ＥＢ
19. Wave and scattering methods for numerical simulation (: electronic bk)
Stefan Bilbao
出版情報: Wiley Online Library, 2005  1 online resource (xvi, 364p.)
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Preface
Foreword
Introduction / 1：
An Overview of Scattering Methods / 1.1：
Remarks on Passivity / 1.1.1：
Case Study: The KellyâÇôLochbaum Digital Speech Synthesis Mode / 1.1.2：
Digital Waveguide Networks / 1.1.3：
A General Approach: Multidimensional Circuit Representations and Wave Digital Filters / 1.1.4：
Questions / 1.2：
Wave Digital Filters / 2：
Classical Network Theory / 2.1：
NâÇôports / 2.1.1：
Power and Passivity / 2.1.2：
KirchhoffâDzs Laws / 2.1.3：
Circuit Elements / 2.1.4：
Wave Digital Elements and Connections / 2.2：
The Bilinear Transform / 2.2.1：
Wave Variables / 2.2.2：
Pseudopower and Pseudopassivity / 2.2.3：
Wave Digital Elements / 2.2.4：
Adaptors / 2.2.5：
Signal and Coefficient Quantization / 2.2.6：
VectorWave Variables / 2.2.7：
Wave Digital Filters and Finite Differences / 2.3：
Multidimensional Wave Digital Filters / 3：
Symmetric Hyperbolic Systems / 3.1：
Coordinate Changes and Grid Generation / 3.2：
Structure of Coordinate Changes / 3.2.1：
Coordinate Changes in (1 +1)D / 3.2.2：
Coordinate Changes in Higher Dimensions / 3.2.3：
MDâÇôpassivity / 3.3：
MD Circuit Elements / 3.4：
The MD Inductor / 3.4.1：
OtherMD Elements / 3.4.2：
Discretization in the Spectral Domain / 3.4.3：
Other Spectral Mappings / 3.4.4：
The (1 +1)D Advection Equation / 3.5：
A Multidimensional Kirchhoff Circuit / 3.5.1：
Stability / 3.5.2：
An Upwind Form / 3.5.3：
The (1 +1)D Transmission Line / 3.6：
MDKC for the (1 + 1)D Transmission Line Equations / 3.6.1：
Digression: The Inductive Lattice TwoâÇôport / 3.6.2：
Energetic Interpretation / 3.6.3：
A MDWD Network for the (1 + 1)D Transmission Line / 3.6.4：
Simplified Networks / 3.6.5：
The (2 +1)D ParallelâÇôplate System / 3.7：
MDKC and MDWD Network / 3.7.1：
FiniteâÇôdifference Interpretation / 3.8：
MDWD Networks as Multistep Schemes / 3.8.1：
Numerical Phase Velocity and Parasitic Modes / 3.8.2：
Initial Conditions / 3.9：
Boundary Conditions / 3.10：
MDKC Modeling of Boundaries / 3.10.1：
Balanced Forms / 3.11：
HigherâÇôorder Accuracy / 3.12：
FDTD and TLM / 4：
Digital Waveguides / 4.2：
The Bidirectional Delay Line / 4.2.1：
Impedance / 4.2.2：
Wave Equation Interpretation / 4.2.3：
Note on the Different Definitions of Wave Quantities / 4.2.4：
Scattering Junctions / 4.2.5：
Vector Waveguides and Scattering Junctions / 4.2.6：
Transitional Note / 4.2.7：
FirstâÇôorder System and the Wave Equation / 4.3：
Centered Difference Schemes and Grid Decimation / 4.3.2：
A (1+1)D Waveguide Network / 4.3.3：
Waveguide Network and the Wave Equation / 4.3.4：
An Interleaved Waveguide Network / 4.3.5：
Varying Coefficients / 4.3.6：
Incorporating Losses and Sources / 4.3.7：
Numerical Phase Velocity and Dispersion / 4.3.8：
Defining Equations and Centered Differences / 4.3.9：
The Waveguide Mesh / 4.4.2：
Reduced Computational Complexity and Memory Requirements in the Standard Form of the Waveguide Mesh / 4.4.3：
Music and Audio Applications of Digital Waveguides / 4.4.4：
Extensions of Digital Waveguide Networks / 5：
Alternative Grids in (2 +1)D / 5.1：
Hexagonal and Triangular Grids / 5.1.1：
The Waveguide Mesh in Radial Coordinates / 5.1.2：
The (3 + 1)D Wave Equation and Waveguide Meshes / 5.2：
The Waveguide Mesh in General Curvilinear Coordinates / 5.3：
Interfaces between Grids / 5.4：
Doubled Grid Density Across an Interface / 5.4.1：
Progressive Grid Density Doubling / 5.4.2：
Grid Density Quadrupling / 5.4.3：
Connecting Rectilinear and Radial Grids / 5.4.4：
Grid Density Doubling in (3 +1)D / 5.4.5：
Note / 5.4.6：
Incorporating the DWN into the MDWD Framework / 6：
The (1 +1)D Transmission Line Revisited / 6.1：
Multidimensional Unit Elements / 6.1.1：
Hybrid Form of the Multidimensional Unit Element / 6.1.2：
Alternative MDKC for the (1+1)D Transmission Line / 6.1.3：
Alternative MDKC for the (2 + 1)D ParallelâÇôplate System / 6.2：
HigherâÇôorder Accuracy Revisited / 6.3：
MaxwellâDzs Equations / 6.4：
Applications to Vibrating Systems / 7：
Beam Dynamics / 7.1：
MDKC and MDWDF for TimoshenkoâDzs System / 7.1.1：
Waveguide Network for TimoshenkoâDzs System / 7.1.2：
Boundary Conditions in the DWN / 7.1.3：
Simulation: TimoshenkoâDzs System for Beams of Uniform and Varying CrossâÇôsectional Areas / 7.1.4：
Improved MDKC for TimoshenkoâDzs System via Balancing / 7.1.5：
Plates / 7.2：
MDKCs and Scattering Networks for MindlinâDzs System / 7.2.1：
Boundary Termination of the Mindlin Plate / 7.2.2：
Simulation: MindlinâDzs System for Plates of Uniform and Varying Thickness / 7.2.3：
Cylindrical Shells / 7.3：
The Membrane Shell / 7.3.1：
The NaghdiâÇôCooper System II Formulation / 7.3.2：
Elastic Solids / 7.4：
Scattering Networks for the Navier System / 7.4.1：
TimeâÇôvarying and Nonlinear Systems / 7.4.2：
TimeâÇôvarying and Nonlinear Circuit Elements / 8.1：
Lumped Elements / 8.1.1：
Distributed Elements / 8.1.2：
Linear TimeâÇôvarying Distributed Systems / 8.2：
A TimeâÇôvarying Transmission Line Model / 8.2.1：
Lumped Nonlinear Systems in Musical Acoustics / 8.3：
Piano Hammers / 8.3.1：
The Single Reed / 8.3.2：
From Wave Digital Principles to Relativity Theory / 8.4：
Origin of the Challenge / 8.4.1：
The Principle of Newtonian Limit / 8.4.2：
NewtonâDzs Second Law / 8.4.3：
NewtonâDzs Third Law and Some Consequences / 8.4.4：
Moving Electromagnetic Field / 8.4.5：
The Bertozzi Experiment / 8.4.6：
BurgerâDzs Equation / 8.5：
The Gas Dynamics Equations / 8.6：
MDKC and MDWDF for the Gas Dynamics Equations / 8.6.1：
An Alternate MDKC and Scattering Network / 8.6.2：
Entropy Variables / 8.6.3：
Concluding Remarks / 9：
Answers / 9.1：
Finite Difference Schemes for the Wave Equation / 9.2：
Von Neumann Analysis of Difference Schemes / A.1：
OneâÇôstep Schemes / A.1.1：
Multistep Schemes / A.1.2：
Vector Schemes / A.1.3：
Numerical Phase Velocity / A.1.4：
Finite Difference Schemes for the (2 + 1)D Wave Equation / A.2：
The Rectilinear Scheme / A.2.1：
The Interpolated Rectilinear Scheme / A.2.2：
The Triangular Scheme / A.2.3：
The Hexagonal Scheme / A.2.4：
Note on HigherâÇôorder Accuracy / A.2.5：
Finite Difference Schemes for the (3 + 1)D Wave Equation / A.3：
The Cubic Rectilinear Scheme / A.3.1：
The Octahedral Scheme / A.3.2：
The (3 + 1)D Interpolated Rectilinear Scheme / A.3.3：
The Tetrahedral Scheme / A.3.4：
Eigenvalue and Steady State Problems / B：
Abstract Time Domain Models / B.1：
Typical Eigenvalue Distribution of a Discretized PDE / B.3：
Excitation and Filtering / B.4：
Partial Similarity Transform / B.5：
Steady State Problems / B.6：
Generalization to Multiple Eigenvalues / B.7：
Numerical Example / B.8：
Bibliography
Index
Preface
Foreword
Introduction / 1：
20.

図書
図書
20. Quantitative risk management : concepts, techniques, and tools (: cloth, alk. paper)
Alexander J. McNeil, Rüdiger Frey, Paul Embrechts
出版情報: Princeton, N.J. : Princeton University Press, c2005  xv, 538 p. ; 24 cm
シリーズ名: Princeton series in finance
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Preface
Risk in Perspective / 1：
Risk / 1.1：
Risk and Randomness / 1.1.1：
Financial Risk / 1.1.2：
Measurement and Management / 1.1.3：
A Brief History of Risk Management / 1.2：
From Babylon to Wall Street / 1.2.1：
The Road to Regulation / 1.2.2：
The New Regulatory Framework / 1.3：
Basel II / 1.3.1：
Solvency 2 / 1.3.2：
Why Manage Financial Risk? / 1.4：
A Societal View / 1.4.1：
The Shareholder's View / 1.4.2：
Economic Capital / 1.4.3：
Quantitative Risk Management / 1.5：
The Nature of the Challenge / 1.5.1：
QRM for the Future / 1.5.2：
Basic Concepts in Risk Management / 2：
Risk Factors and Loss Distributions / 2.1：
General Definitions / 2.1.1：
Conditional and Unconditional Loss Distribution / 2.1.2：
Mapping of Risks: Some Examples / 2.1.3：
Risk Measurement / 2.2：
Approaches to Risk Measurement / 2.2.1：
Value-at-Risk / 2.2.2：
Further Comments on VaR / 2.2.3：
Other Risk Measures Based on Loss Distributions / 2.2.4：
Standard Methods for Market Risks / 2.3：
Variance-Covariance Method / 2.3.1：
Historical Simulation / 2.3.2：
Monte Carlo / 2.3.3：
Losses over Several Periods and Scaling / 2.3.4：
Backtesting / 2.3.5：
An Illustrative Example / 2.3.6：
Multivariate Models / 3：
Basics of Multivariate Modelling / 3.1：
Random Vectors and Their Distributions / 3.1.1：
Standard Estimators of Covariance and Correlation / 3.1.2：
The Multivariate Normal Distribution / 3.1.3：
Testing Normality and Multivariate Normality / 3.1.4：
Normal Mixture Distributions / 3.2：
Normal Variance Mixtures / 3.2.1：
Normal Mean-Variance Mixtures / 3.2.2：
Generalized Hyperbolic Distributions / 3.2.3：
Fitting Generalized Hyperbolic Distributions to Data / 3.2.4：
Empirical Examples / 3.2.5：
Spherical and Elliptical Distributions / 3.3：
Spherical Distributions / 3.3.1：
Elliptical Distributions / 3.3.2：
Properties of Elliptical Distributions / 3.3.3：
Estimating Dispersion and Correlation / 3.3.4：
Testing for Elliptical Symmetry / 3.3.5：
Dimension Reduction Techniques / 3.4：
Factor Models / 3.4.1：
Statistical Calibration Strategies / 3.4.2：
Regression Analysis of Factor Models / 3.4.3：
Principal Component Analysis / 3.4.4：
Financial Time Series / 4：
Empirical Analyses of Financial Time Series / 4.1：
Stylized Facts / 4.1.1：
Multivariate Stylized Facts / 4.1.2：
Fundamentals of Time Series Analysis / 4.2：
Basic Definitions / 4.2.1：
ARMA Processes / 4.2.2：
Analysis in the Time Domain / 4.2.3：
Statistical Analysis of Time Series / 4.2.4：
Prediction / 4.2.5：
GARCH Models for Changing Volatility / 4.3：
ARCH Processes / 4.3.1：
GARCH Processes / 4.3.2：
Simple Extensions of the GARCH Model / 4.3.3：
Fitting GARCH Models to Data / 4.3.4：
Volatility Models and Risk Estimation / 4.4：
Volatility Forecasting / 4.4.1：
Conditional Risk Measurement / 4.4.2：
Fundamentals of Multivariate Time Series / 4.4.3：
Multivariate ARMA Processes / 4.5.1：
Multivariate GARCH Processes / 4.6：
General Structure of Models / 4.6.1：
Models for Conditional Correlation / 4.6.2：
Models for Conditional Covariance / 4.6.3：
Fitting Multivariate GARCH Models / 4.6.4：
Dimension Reduction in MGARCH / 4.6.5：
MGARCH and Conditional Risk Measurement / 4.6.6：
Copulas and Dependence / 5：
Copulas / 5.1：
Basic Properties / 5.1.1：
Examples of Copulas / 5.1.2：
Meta Distributions / 5.1.3：
Simulation of Copulas and Meta Distributions / 5.1.4：
Further Properties of Copulas / 5.1.5：
Perfect Dependence / 5.1.6：
Dependence Measures / 5.2：
Linear Correlation / 5.2.1：
Rank Correlation / 5.2.2：
Coefficients of Tail Dependence / 5.2.3：
Normal Mixture Copulas / 5.3：
Tail Dependence / 5.3.1：
Rank Correlations / 5.3.2：
Skewed Normal Mixture Copulas / 5.3.3：
Grouped Normal Mixture Copulas / 5.3.4：
Archimedean Copulas / 5.4：
Bivariate Archimedean Copulas / 5.4.1：
Multivariate Archimedean Copulas / 5.4.2：
Non-exchangeable Archimedean Copulas / 5.4.3：
Fitting Copulas to Data / 5.5：
Method-of-Moments using Rank Correlation / 5.5.1：
Forming a Pseudo-Sample from the Copula / 5.5.2：
Maximum Likelihood Estimation / 5.5.3：
Aggregate Risk / 6：
Coherent Measures of Risk / 6.1：
The Axioms of Coherence / 6.1.1：
Coherent Risk Measures Based on Loss Distributions / 6.1.2：
Coherent Risk Measures as Generalized Scenarios / 6.1.4：
Mean-VaR Portfolio Optimization / 6.1.5：
Bounds for Aggregate Risks / 6.2：
The General Frechet Problem / 6.2.1：
The Case of VaR / 6.2.2：
Capital Allocation / 6.3：
The Allocation Problem / 6.3.1：
The Euler Principle and Examples / 6.3.2：
Economic Justification of the Euler Principle / 6.3.3：
Extreme Value Theory / 7：
Maxima / 7.1：
Generalized Extreme Value Distribution / 7.1.1：
Maximum Domains of Attraction / 7.1.2：
Maxima of Strictly Stationary Time Series / 7.1.3：
The Block Maxima Method / 7.1.4：
Threshold Exceedances / 7.2：
Generalized Pareto Distribution / 7.2.1：
Modelling Excess Losses / 7.2.2：
Modelling Tails and Measures of Tail Risk / 7.2.3：
The Hill Method / 7.2.4：
Simulation Study of EVT Quantile Estimators / 7.2.5：
Conditional EVT for Financial Time Series / 7.2.6：
Tails of Specific Models / 7.3：
Domain of Attraction of Frechet Distribution / 7.3.1：
Domain of Attraction of Gumbel Distribution / 7.3.2：
Mixture Models / 7.3.3：
Point Process Models / 7.4：
Threshold Exceedances for Strict White Noise / 7.4.1：
The POT Model / 7.4.2：
Self-Exciting Processes / 7.4.3：
A Self-Exciting POT Model / 7.4.4：
Multivariate Maxima / 7.5：
Multivariate Extreme Value Copulas / 7.5.1：
Copulas for Multivariate Minima / 7.5.2：
Copula Domains of Attraction / 7.5.3：
Modelling Multivariate Block Maxima / 7.5.4：
Multivariate Threshold Exceedances / 7.6：
Threshold Models Using EV Copulas / 7.6.1：
Fitting a Multivariate Tail Model / 7.6.2：
Threshold Copulas and Their Limits / 7.6.3：
Credit Risk Management / 8：
Introduction to Credit Risk Modelling / 8.1：
Credit Risk Models / 8.1.1：
Structural Models of Default / 8.1.2：
The Merton Model / 8.2.1：
Pricing in Merton's Model / 8.2.2：
The KMV Model / 8.2.3：
Models Based on Credit Migration / 8.2.4：
Multivariate Firm-Value Models / 8.2.5：
Threshold Models / 8.3：
Notation for One-Period Portfolio Models / 8.3.1：
Threshold Models and Copulas / 8.3.2：
Industry Examples / 8.3.3：
Models Based on Alternative Copulas / 8.3.4：
Model Risk Issues / 8.3.5：
The Mixture Model Approach / 8.4：
One-Factor Bernoulli Mixture Models / 8.4.1：
CreditRisk+ / 8.4.2：
Asymptotics for Large Portfolios / 8.4.3：
Threshold Models as Mixture Models / 8.4.4：
Model-Theoretic Aspects of Basel II / 8.4.5：
Monte Carlo Methods / 8.4.6：
Basics of Importance Sampling / 8.5.1：
Application to Bernoulli-Mixture Models / 8.5.2：
Statistical Inference for Mixture Models / 8.6：
Motivation / 8.6.1：
Exchangeable Bernoulli-Mixture Models / 8.6.2：
Mixture Models as GLMMs / 8.6.3：
One-Factor Model with Rating Effect / 8.6.4：
Dynamic Credit Risk Models / 9：
Credit Derivatives / 9.1：
Overview / 9.1.1：
Single-Name Credit Derivatives / 9.1.2：
Portfolio Credit Derivatives / 9.1.3：
Mathematical Tools / 9.2：
Random Times and Hazard Rates / 9.2.1：
Modelling Additional Information / 9.2.2：
Doubly Stochastic Random Times / 9.2.3：
Financial and Actuarial Pricing of Credit Risk / 9.3：
Physical and Risk-Neutral Probability Measure / 9.3.1：
Risk-Neutral Pricing and Market Completeness / 9.3.2：
Martingale Modelling / 9.3.3：
The Actuarial Approach to Credit Risk Pricing / 9.3.4：
Pricing with Doubly Stochastic Default Times / 9.4：
Recovery Payments of Corporate Bonds / 9.4.1：
The Model / 9.4.2：
Pricing Formulas / 9.4.3：
Applications / 9.4.4：
Affine Models / 9.5：
Basic Results / 9.5.1：
The CIR Square-Root Diffusion / 9.5.2：
Extensions / 9.5.3：
Conditionally Independent Defaults / 9.6：
Reduced-Form Models for Portfolio Credit Risk / 9.6.1：
Conditionally Independent Default Times / 9.6.2：
Examples and Applications / 9.6.3：
Copula Models / 9.7：
Definition and General Properties / 9.7.1：
Factor Copula Models / 9.7.2：
Default Contagion in Reduced-Form Models / 9.8：
Default Contagion and Default Dependence / 9.8.1：
Information-Based Default Contagion / 9.8.2：
Interacting Intensities / 9.8.3：
Operational Risk and Insurance Analytics / 10：
Operational Risk in Perspective / 10.1：
A New Risk Class / 10.1.1：
The Elementary Approaches / 10.1.2：
Advanced Measurement Approaches / 10.1.3：
Operational Loss Data / 10.1.4：
Elements of Insurance Analytics / 10.2：
The Case for Acturaial Methodology / 10.2.1：
The Total Loss Amount / 10.2.2：
Approximations and Panjer Recursion / 10.2.3：
Poisson Mixtures / 10.2.4：
Tails of Aggregate Loss Distributions / 10.2.5：
The Homogeneous Poisson Process / 10.2.6：
Processes Related to the Poisson Process / 10.2.7：
Appendix
Miscellaneous Definitions and Results / A.1：
Type of Distribution / A.1.1：
Generalized Inverses and Quantiles / A.1.2：
Karamata's Theorem / A.1.3：
Probability Distributions / A.2：
Beta / A.2.1：
Exponential / A.2.2：
F / A.2.3：
Gamma / A.2.4：
Generalized Inverse Gaussian / A.2.5：
Inverse Gamma / A.2.6：
Negative Binomial / A.2.7：
Pareto / A.2.8：
Stable / A.2.9：
Likelihood Inference / A.3：
Maximum Likelihood Estimators / A.3.1：
Asymptotic Results: Scalar Parameter / A.3.2：
Asymptotic Results: Vector of Parameters / A.3.3：
Wald Test and Confidence Intervals / A.3.4：
Likelihood Ratio Test and Confidence Intervals / A.3.5：
Akaike Information Criterion / A.3.6：
References
Index
Preface
Risk in Perspective / 1：
Risk / 1.1：
21.

図書
図書
21. Modern Raman spectroscopy : a practical approach (: cloth ; : pbk.)
Ewen Smith, Geoffrey Dent
出版情報: Chichester : J. Wiley & Sons, c2005  x, 210 p. ; 23 cm
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Acknowledgements
Introduction, Basic Theory, and Principles / Chapter 1：
Introduction / 1：
History / 1.1：
Basic Theory / 1.2：
Molecular Vibrations / 1.3：
Group Vibrations / 1.4：
An Approach to Interpretation / 1.5：
Summary / 1.6：
Bibliography and Refs / 1.7：
The Raman Experiment - Raman Instrumentation, Data Handling and Practical Aspects of Interpretation / Chapter 2：
Choice of Instruments / 2.1：
Visible Excitation / 2.3：
Raman Microscopes / 2.3.1：
Fibre Optic Couplings and Wave Guides / 2.3.2：
Near Infrared Excitation / 2.4：
Raman Sample Preparation and Handling / 2.5：
Raman Sample Handling / 2.5.1：
Sample Mounting - Optical Considerations / 2.5.2：
Sample Mounting Accessories / 2.6：
Small fibres, films, liquids and powders / 2.6.1：
Variable Temperature and Pressure Cells / 2.6.2：
Special Applications - Thin films, catalysts / 2.6.3：
Flow through/reaction cells, sample changers/automated mounts / 2.6.4：
Fibre Optic and Guided Wave Sensing / 2.6.5：
Microscopy and Imaging / 2.7：
Depth Profiling / 2.7.1：
Imaging and Mapping / 2.7.2：
Calibration / 2.8：
Data Handling, Manipulation and Quantitation / 2.9：
Production of Spectra / 2.9.1：
Display of Spectra / 2.9.2：
Spectrum Scales / 2.9.2.1：
Spectral Enhancement/Loss of Data / 2.9.2.2：
Quantitation / 2.9.3：
Quantitation - Hardware and Sampling Features / 2.9.3.1：
Quantitation - Data Handling Considerations / 2.9.3.2：
Practical Aspects of Qualitative Interpretation / 2.10：
Approach to Interpretation of a Raman Spectrum of an Unknown Sample / 2.10.1：
Knowledge of the Sample / 2.10.1.1：
Sample Preparation Effects / 2.10.1.2：
Instrument/Software Effects / 2.10.1.3：
The Spectrum / 2.10.1.4：
Computer Aided Spectrum Interpretation / 2.10.2：
Library Search Systems / 2.10.2.1：
Structural Determination Aids / 2.10.2.2：
Spectra Formats for Transfer and Exchange of Data / 6.4.1.1：
The Internet / 2.10.2.4：
Bibliography / 2.11：
Hard Copy Spectra Collections
Software Interpretation Tools, Databases, and Internet Sites
Refs
Theory of Raman Spectroscopy / Chapter 3：
Absorption and Scattering / 3.1：
States of a system and Hookes Law / 3.3：
The nature of polarisability and the measurement of polarisation / 3.4：
The basic selection rule / 3.5：
Number and symmetry of vibrations / 3.6：
Symmetry elements and point groups / 3.7：
The mutual exclusion rule / 3.8：
The Kramer Heisenberg Dirac Expression / 3.9：
Conclusions to be drawn from theory / 3.10：
Resonance Raman Scattering / Chapter 4：
Theorectical Aspects / 4.1：
The Basic Process / 4.2.1：
Electronic information / 4.2.2：
Resonance Excitation Profile / 4.2.3：
Practical Aspects / 4.2.4：
Examples Of The Use Of Resonance Raman Scattering / 4.4：
Small Molecules / 4.4.1：
Larger Molecules / 4.4.2：
Conclusions / 4.5：
Surface Enhanced Raman Scattering / Chapter 5：
Theory / 5.1：
Electromagnetic and charge transfer enhancement / 5.3：
Electromagnetic Excitation / 5.4：
Charge Transfer / 5.5：
Selection Rules / 5.6：
Applications of SERS / 5.7：
Applications of SERRS / 5.8：
The Basic Method / 5.9：
Applications / Chapter 6：
Inorganics / 6.1：
Art and Archaeology / 6.3：
Polymers / 6.4：
Overview / 6.4.1：
Simple Qualitative polymer Studies / 6.4.2：
Quantitative Polymer Studies / 6.4.3：
Colour / 6.5：
Raman Colour Probes / 6.5.1：
Insitu Analysis / 6.5.2：
Raman studies of Tautomerism in azo dyes / 6.5.3：
Polymorphism in Dyes / 6.5.4：
Electronics / 6.6：
Biological and Pharmaceuticals / 6.7：
Biological / 6.7.1：
Solid Phase Organic Chemistry / 6.7.3：
Pharmaceuticals / 6.7.4：
Non Contact Insitu Measurements / 6.7.4.1：
Molecular Specificity / 6.7.4.2：
Polymorphism / 6.7.4.3：
Forensics / 6.8：
Process Analysis and Catalysts / 6.9：
Electronics and Semiconductors / 6.9.1：
PCl3 Production Monitoring / 6.9.3：
Anatase and Rutile forms of Titanium Dioxide / 6.9.4：
Polymers and Emulsions / 6.9.5：
Pharmaceutical Industry / 6.9.6：
Fermentations / 6.9.7：
Gases / 6.9.8：
Catalysts / 6.9.9：
More Advanced Techniques / 6.10：
Flexible Optics / 7.1：
Tuneable Lasers, Frequency Doubling and Pulsed Lasers / 7.2：
Spatially resolved systems / 7.3：
Non linear Raman spectroscopy / 7.4：
Time Resolved Scattering / 7.8：
Raman optical activity / 7.9：
Ultraviolet spectroscopy / 7.10：
Acknowledgements
Introduction, Basic Theory, and Principles / Chapter 1：
Introduction / 1：
22.

電子ブック
ＥＢ
22. 2006 Wireless Sensor Networks Conference
Holger Karl, Andreas Willig
出版情報: IEEE Electronic Library (IEL) Conference Proceedings , Chichester : Wiley Telecom, 2005
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Preface
List of abbreviations
List of Abbreviations
A guide to the book
Introduction / 1：
The vision of Ambient Intelligence / 1.1：
Application examples / 1.2：
Types of applications / 1.3：
Challenges for WSNs / 1.4：
Why are sensor networks different? / 1.5：
Enabling technologies / 1.6：
Architectures / Part I：
Single node architecture / 1.4.1：
Characteristic requirements
Hardware components / 2.1：
Required mechanisms / 2.2：
Energy consumption of sensor nodes
Operating systems and execution environments / 2.3：
Some examples of sensor nodes / 2.4：
Mobile ad hoc networks and wireless sensor networks / 2.5：
Conclusion
Network architecture / 1.5.2：
Fieldbuses and wireless sensor networks
Sensor network scenarios / 3.1：
Enabling technologies for wireless sensor networks / 3.2：
Optimization goals & figures of merit
Design principles for WSNs / 3.3：
Service interfaces of WSNs / 3.4：
Single-node architecture / 3.5：
Gateway concepts
Communication Protocols / 3.6：
Sensor node hardware overview / 4：
Physical Layer
Controller / 2.1.2：
Wireless channel and communication fundamentals / 4.2：
Memory / 4.3：
Physical layer & transceiver design considerations in WSNs
Further reading / 2.1.4：
Communication device
MAC Protocols / 5：
Sensors and actuators / 5.1：
Fundamentals of (wireless) MAC protocols
Low duty cycle protocols and wakeup concepts / 2.1.6：
Power supply of sensor nodes
Contention-based protocols / 5.3：
Schedule-based protocols / 5.4：
The IEEE 802.15.4 MAC protocol / 2.2.1：
Operation states with different power consumption
How about IEEE 802.11 and Bluetooth? / 5.6：
Microcontroller energy consumption / 5.7：
Link Layer Protocols / 2.2.3：
Radio transceivers / 6.1：
Fundamentals: Tasks and requirements
Error control / 2.2.5：
Relationship between computation and communication
Framing / 6.3：
Power consumption of sensor and actuators / 6.4：
Link management
Summary / 6.5：
Naming and Addressing / 7：
Embedded operating systems / 7.1：
Fundamentals
Address and name management in wireless sensor networks / 2.3.2：
Programming paradigms and application programming interfaces
Assignment of MAC addresses / 7.3：
Structure of operating system and protocol stack / 7.4：
Distributed assignment of locally unique addresses
Content-based and geographic addressing / 2.3.4：
Dynamic energy and power management
Case Study: TinyOS and nesC / 7.6：
Time Synchronization
Introduction to the time synchronization problem / 2.3.6：
Other examples
Protocols based on sender/receiver synchronization / 8.2：
Protocols based on receiver/receiver synchronization / 8.3：
The "Mica Mote" family / 2.4.1：
Localization and Positioning / 9：
EYES nodes / 9.1：
Properties of positioning
Possible approaches / 2.4.3：
BTnodes
Mathematical basics for the lateration problem / 9.3：
Scatterweb / 9.4：
Single-hop localization
Positioning in multi-hop environments / 2.4.5：
Commercial solutions
Impact of anchor placement / 9.6：
Topology control / 9.7：
Motivation and basic ideas / 10.1：
Flat network topologies / 3.1.1：
Types of sources and sinks
Hierarchical networks by dominating sets / 10.3：
Single-hop versus multihop networks / 10.4：
Hierarchical networks by clustering
Combining hierarchical topologies and power control / 3.1.3：
Multiple sinks and sources
Adaptive node activity / 10.6：
Three types of mobility / 10.7：
Conclusions
Routing protocols / 11：
Optimization goals and figures of merit
The many faces of forwarding and routing / 11.1：
Quality of service / 11.2：
Gossiping and agent-based unicast forwarding
Energy-efficient unicast / 3.2.2：
Energy efficiency
Broadcast and multicast / 11.4：
Scalability / 11.5：
Geographic routing
Mobile nodes / 3.2.4：
Robustness
Data-centric and content-based networking 395 / 11.7：
Distributed organization / 3.3.1：
Data-centric routing / 12.2：
In-network processing / 12.3：
Data aggregation
Data-centric storage / 3.3.3：
Adaptive fidelity and accuracy
Data centricity / 12.5：
Exploit location information / 3.3.5：
Exploit activity patterns / 3.3.6：
Exploit heterogeneity / 3.3.7：
Component-based protocol stacks and cross-layer optimization / 3.3.8：
Structuring application/protocol stack interfaces / 3.4.1：
Expressibility requirements for WSN service interfaces / 3.4.2：
Discussion / 3.4.3：
The need for gateways / 3.5.1：
WSN to Internet communication / 3.5.2：
Internet to WSN communication / 3.5.3：
WSN tunneling / 3.5.4：
Physical layer
Frequency allocation / 4.2.1：
Modulation and demodulation / 4.2.2：
Wave propagation effects and noise / 4.2.3：
Channel models / 4.2.4：
Spread-spectrum communications / 4.2.5：
Packet transmission and synchronization / 4.2.6：
Quality of wireless channels and measures for improvement / 4.2.7：
Physical layer and transceiver design considerations in WSNs
Energy usage profile / 4.3.1：
Choice of modulation scheme / 4.3.2：
Dynamic modulation scaling / 4.3.3：
Antenna considerations / 4.3.4：
MAC protocols
Requirements and design constraints for wireless MAC protocols / 5.1.1：
Important classes of MAC protocols / 5.1.2：
MAC protocols for wireless sensor networks / 5.1.3：
Sparse topology and energy management (STEM) / 5.2.1：
S-MAC / 5.2.2：
The mediation device protocol / 5.2.3：
Wakeup radio concepts / 5.2.4：
CSMA protocols / 5.2.5：
PAMAS / 5.3.2：
Further solutions / 5.3.3：
LEACH / 5.4.1：
SMACS / 5.4.2：
Traffic-adaptive medium access protocol (TRAMA) / 5.4.3：
Network architecture and types/roles of nodes / 5.4.4：
Superframe structure / 5.5.2：
GTS management / 5.5.3：
Data transfer procedures / 5.5.4：
Slotted CSMA-CA protocol / 5.5.5：
Nonbeaconed mode / 5.5.6：
How about IEEE 802.11 and bluetooth? / 5.5.7：
Link-layer protocols
Fundamentals: tasks and requirements
Causes and characteristics of transmission errors / 6.2.1：
ARQ techniques / 6.2.2：
FEC techniques / 6.2.3：
Hybrid schemes / 6.2.4：
Power control / 6.2.5：
Further mechanisms to combat errors / 6.2.6：
Error control: summary / 6.2.7：
Adaptive schemes / 6.3.1：
Intermediate checksum schemes / 6.3.2：
Combining packet-size optimization and FEC / 6.3.3：
Treatment of frame headers / 6.3.4：
Framing: summary / 6.3.5：
Link-quality characteristics / 6.4.1：
Link-quality estimation / 6.4.2：
Naming and addressing
Use of addresses and names in (sensor) networks / 7.1.1：
Address management tasks / 7.1.2：
Uniqueness of addresses / 7.1.3：
Address allocation and assignment / 7.1.4：
Addressing overhead / 7.1.5：
Distributed assignment of networkwide addresses / 7.3.1：
Address assignment algorithm / 7.4.1：
Address selection and representation / 7.4.2：
Further schemes / 7.4.3：
Content-based addressing / 7.5.1：
Geographic addressing / 7.5.2：
Time synchronization
The need for time synchronization in wireless sensor networks / 8.1.1：
Node clocks and the problem of accuracy / 8.1.2：
Properties and structure of time synchronization algorithms / 8.1.3：
Time synchronization in wireless sensor networks / 8.1.4：
Lightweight time synchronization protocol (LTS) / 8.2.1：
How to increase accuracy and estimate drift / 8.2.2：
Timing-sync protocol for sensor networks (TPSN) / 8.2.3：
Reference broadcast synchronization (RBS) / 8.3.1：
Hierarchy referencing time synchronization (HRTS) / 8.3.2：
Localization and positioning
Properties of localization and positioning procedures
Proximity / 9.2.1：
Trilateration and triangulation / 9.2.2：
Scene analysis / 9.2.3：
Solution with three anchors and correct distance values / 9.3.1：
Solving with distance errors / 9.3.2：
Active Badge / 9.4.1：
Active office / 9.4.2：
RADAR / 9.4.3：
Cricket / 9.4.4：
Overlapping connectivity / 9.4.5：
Approximate point in triangle / 9.4.6：
Using angle of arrival information / 9.4.7：
Positioning in multihop environments
Connectivity in a multihop network / 9.5.1：
Multihop range estimation / 9.5.2：
Iterative and collaborative multilateration / 9.5.3：
Probabilistic positioning description and propagation / 9.5.4：
Options for topology control / 10.1.1：
Aspects of topology-control algorithms / 10.1.2：
Controlling topology in flat networks - Power control
Some complexity results / 10.2.1：
Are there magic numbers? - bounds on critical parameters / 10.2.2：
Some example constructions and protocols / 10.2.3：
Further reading on flat topology control / 10.2.4：
Motivation and definition / 10.3.1：
A hardness result / 10.3.2：
Some ideas from centralized algorithms / 10.3.3：
Some distributed approximations / 10.3.4：
Definition of clusters / 10.3.5：
A basic idea to construct independent sets / 10.4.2：
A generalization and some performance insights / 10.4.3：
Connecting clusters / 10.4.4：
Rotating clusterheads / 10.4.5：
Some more algorithm examples / 10.4.6：
Multihop clusters / 10.4.7：
Multiple layers of clustering / 10.4.8：
Passive clustering / 10.4.9：
Pilot-based power control / 10.4.10：
Ad hoc Network Design Algorithm (ANDA) / 10.5.2：
CLUSTERPOW / 10.5.3：
Geographic Adaptive Fidelity (GAF) / 10.6.1：
Adaptive Self-Configuring sEnsor Networks' Topologies (ASCENT) / 10.6.2：
Turning off nodes on the basis of sensing coverage / 10.6.3：
Basic idea / 11.2.1：
Randomized forwarding / 11.2.2：
Random walks / 11.2.3：
Overview / 11.2.4：
Some example unicast protocols / 11.3.2：
Multipath unicast routing / 11.3.3：
Source-based tree protocols / 11.3.5：
Shared, core-based tree protocols / 11.4.3：
Mesh-based protocols / 11.4.4：
Further reading on broadcast and multicast / 11.4.5：
Basics of position-based routing / 11.5.1：
Geocasting / 11.5.2：
Further reading on geographic routing / 11.5.3：
Mobile sinks / 11.6.1：
Mobile data collectors / 11.6.2：
Mobile regions / 11.6.3：
Data-centric and content-based networking
The publish/subscribe interaction paradigm / 12.1.1：
Addressing data / 12.1.2：
Implementation options / 12.1.3：
Distribution versus gathering of data - In-network processing / 12.1.4：
One-shot interactions / 12.2.1：
Repeated interactions / 12.2.2：
A database interface to describe aggregation operations / 12.2.3：
Categories of aggregation operations / 12.3.3：
Placement of aggregation points / 12.3.4：
When to stop waiting for more data / 12.3.5：
Aggregation as an optimization problem / 12.3.6：
Broadcasting an aggregated value / 12.3.7：
Information-directed routing and aggregation / 12.3.8：
Some further examples / 12.3.9：
Further reading on data aggregation / 12.3.10：
Transport layer and quality of service / 13：
The transport layer and QoS in wireless sensor networks / 13.1：
Quality of service/reliability / 13.1.1：
Transport protocols / 13.1.2：
Coverage and deployment / 13.2：
Sensing models / 13.2.1：
Coverage measures / 13.2.2：
Uniform random deployments: Poisson point processes / 13.2.3：
Coverage of random deployments: Boolean sensing model / 13.2.4：
Coverage of random deployments: general sensing model / 13.2.5：
Coverage determination / 13.2.6：
Coverage of grid deployments / 13.2.7：
Reliable data transport / 13.2.8：
Reliability requirements in sensor networks / 13.3.1：
Single packet delivery / 13.4：
Using a single path / 13.4.1：
Using multiple paths / 13.4.2：
Multiple receivers / 13.4.3：
Block delivery / 13.4.4：
PSFQ: block delivery in the sink-to-sensors case / 13.5.1：
RMST: block delivery in the sensors-to-sink case / 13.5.2：
What about TCP? / 13.5.3：
Congestion control and rate control / 13.5.4：
Congestion situations in sensor networks / 13.6.1：
Mechanisms for congestion detection and handling / 13.6.2：
Protocols with rate control / 13.6.3：
The CODA congestion-control framework / 13.6.4：
Advanced application support / 13.6.5：
Advanced in-network processing / 14.1：
Going beyond mere aggregation of data / 14.1.1：
Distributed signal processing / 14.1.2：
Distributed source coding / 14.1.3：
Network coding / 14.1.4：
Further issues / 14.1.5：
Security / 14.2：
Security considerations in wireless sensor networks / 14.2.1：
Denial-of-service attacks / 14.2.3：
Application-specific support / 14.2.4：
Target detection and tracking / 14.3.1：
Contour/edge detection / 14.3.2：
Field sampling / 14.3.3：
Bibliography
Index
Communication Protocols.
MAC Protocols 133
Topology control 295
Transport Layer and Quality of Service
Preface
List of abbreviations
List of Abbreviations
23.

電子ブック
ＥＢ
23. Computer Technology; Volume 2
出版情報: ASME Digital Collection Conference Proceedings , 2005
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24.

電子ブック
ＥＢ
24. Best Practices in Software Measurement
Manfred; Dumke, Reiner; Ebert, Christof; Schmietendorf, Andreas Bundschuh, Rainer Dumke, Christof Ebert, Reiner Dumke, Andreas Schmietendorf
出版情報: Springer eBooks Computer Science , Dordrecht : Springer Berlin Heidelberg, 2005
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Introduction / 1：
Making Metrics a Success - The Business Perspective / 2：
The Business Need for Measurement / 2.1：
Managing by the Numbers / 2.2：
Extraction / 2.2.1：
Evaluation / 2.2.2：
Execution / 2.2.3：
Metrics for Management Guidance / 2.3：
Portfolio Management / 2.3.1：
Technology Management / 2.3.2：
Product and Release Planning / 2.3.3：
Making the Business Case / 2.3.4：
Hints for the Practitioner / 2.4：
Summary / 2.5：
Planning the Measurement Process / 3：
Software Measurement Needs Planning / 3.1：
Goal-Oriented Approaches / 3.2：
The GQM Methodology / 3.2.1：
The CAME Approach / 3.2.2：
Measurement Choice / 3.3：
Measurement Adjustment / 3.4：
Measurement Migration / 3.5：
Measurement Efficiency / 3.6：
Performing the Measurement Process / 3.7：
Measurement Tools and Software e-Measurement / 4.1：
Applications and Strategies of Metrics Tools / 4.2：
Software process measurement and evaluation / 4.2.1：
Software Product Measurement and Evaluation / 4.2.2：
Software Process Resource Measurement and Evaluation / 4.2.3：
Software Measurement Presentation and Statistical Analysis / 4.2.4：
Software Measurement Training / 4.2.5：
Solutions and Directions in Software e-Measurement / 4.3：
Introducing a Measurement Program / 4.4：
Making the Measurement Program Useful / 5.1：
Metrics Selection and Definition / 5.2：
Roles and Responsibilities in a Measurement Program / 5.3：
Building History Data / 5.4：
Positive and Negative Aspects of Software Measurement / 5.5：
It is People not Numbers! / 5.6：
Counter the Counterarguments / 5.7：
Information and Participation / 5.8：
Measurement Infrastructures / 5.9：
Access to Measurement Results / 6.1：
Introduction and Requirements / 6.2：
Motivation: Using Measurements for Benchmarking / 6.2.1：
Source of Metrics / 6.2.2：
Dimensions of a Metrics Database / 6.2.3：
Requirements of a Metrics Database / 6.2.4：
Case Study: Metrics Database for Object-Oriented Metrics / 6.3：
Prerequisites for the Effective Use of Metrics / 6.3.1：
Architecture and Design of the Application / 6.3.2：
Details of the Implementation / 6.3.3：
Functionality of the Metrics Database (Users' View) / 6.3.4：
Size and Effort Estimation / 6.4：
The Importance of Size and Cost Estimation / 7.1：
A Short Overview of Functional Size Measurement Methods / 7.2：
The COSMIC Full Function Point Method / 7.3：
Case Study: Using the COSMIC Full Function Point Method / 7.4：
Estimations Can Be Political / 7.5：
Establishing Buy-In: The Estimation Conference / 7.6：
Estimation Honesty / 7.7：
Estimation Culture / 7.8：
The Implementation of Estimation / 7.9：
Estimation Competence Center / 7.10：
Training for Estimation / 7.11：
Project Control / 7.12：
Project Control and Software Measurement / 8.1：
Applications of Project Control / 8.2：
Monitoring and Control / 8.2.1：
Forecasting / 8.2.2：
Cost Control / 8.2.3：
Defect Detection and Quality Improvement / 8.3：
Improving Quality of Software Systems / 9.1：
Fundamental Concepts / 9.2：
Defect Estimation / 9.2.1：
Defect Detection, Quality Gates and Reporting / 9.2.3：
Early Defect Detection / 9.3：
Reducing Cost of Non-Quality / 9.3.1：
Planning Early Defect Detection Activities / 9.3.2：
Criticality Prediction - Applying Empirical Software Engineering / 9.4：
Identifying Critical Components / 9.4.1：
Practical Criticality Prediction / 9.4.2：
Software Reliability Prediction / 9.5：
Practical Software Reliability Engineering / 9.5.1：
Applying Reliability Growth Models / 9.5.2：
Calculating ROI of Quality Initiatives / 9.6：
Software Process Improvement / 9.7：
Process Management and Process Improvement / 10.1：
Making Change Happen / 10.2：
Setting Reachable Targets / 10.2.2：
Providing Feedback / 10.2.3：
Practically Speaking: Implementing Change / 10.2.4：
Critical Success Factors / 10.2.5：
Process Management / 10.3：
Process Definition and Workflow Management / 10.3.1：
Quantitative Process Management / 10.3.2：
Process Change Management / 10.3.3：
Measuring the Results of Process Improvements / 10.4：
Software Performance Engineering / 10.5：
The Method of Software Performance Engineering / 11.1：
Motivation, Requirements and Goals / 11.2：
Performance-related Risk of Software Systems / 11.2.1：
Requirements and Aims / 11.2.2：
A Practical Approach of Software Performance Engineering / 11.3：
Overview of an Integrated Approach / 11.3.1：
Establishing and Resolving Performance Models / 11.3.2：
Generalization of the Need for Model Variables / 11.3.3：
Sources of Model Variables / 11.3.4：
Performance and Software Metrics / 11.3.5：
Persistence of Software and Performance Metrics / 11.3.6：
Case Study: EAI / 11.4：
Introduction of a EAI Solution / 11.4.1：
Available Studies / 11.4.2：
Developing EAI to Meet Performance Needs / 11.4.3：
Costs of Software Performance Engineering / 11.5：
Performance Risk Model (PRM) / 11.5.1：
Service Level Management / 11.6：
Measuring Service Level Management / 12.1：
Web Services and Service Management / 12.2：
Web Services at a Glance / 12.2.1：
Overview of SLAs / 12.2.2：
Service Agreement and Service Provision / 12.2.3：
Web Service Level Agreements / 12.3：
WSLA Schema Specification / 12.3.1：
Web Services Run-Time Environment / 12.3.2：
Guaranteeing Web Service Level Agreements / 12.3.3：
Monitoring the SLA Parameters / 12.3.4：
Use of a Measurement Service / 12.3.5：
Case Study: Building an Intranet Measurement Application / 12.4：
Applying Measurement Tools / 13.1：
The White-Box Software Estimation Approach / 13.2：
First Web-Based Approach / 13.3：
Second Web-Based Approach / 13.4：
Case Study: Measurements in IT Projects / 13.5：
Estimations: A Start for a Measurement Program / 14.1：
Environment / 14.2：
The IT Organization / 14.2.1：
Function Point Project Baseline / 14.2.2：
Function Point Prognosis / 14.3：
Conclusions from Case Study / 14.4：
Counting and Accounting / 14.4.1：
ISO 8402 Quality Measures and IFPUG GSCs / 14.4.2：
Distribution of Estimated Effort to Project Phases / 14.4.3：
Estimation of Maintenance Tasks / 14.4.4：
The UKSMA and NESMA Standard / 14.4.5：
Enhancement Projects / 14.4.6：
Software Metrics for Maintenance / 14.4.7：
Estimation of Maintenance Effort After Delivery / 14.4.8：
Estimation for (Single) Maintenance Tasks / 14.4.9：
Simulations for Estimations / 14.4.10：
Sensitivity analysis / 14.4.11：
Case Study: Metrics in Maintenance / 14.5：
Motivation for a Tool-based Approach / 15.1：
The Software System under Investigation / 15.2：
Quality Evaluation with Logiscope / 15.3：
Application of Static Source Code Analysis / 15.4：
Metrics Communities and Resources / 15.5：
Benefits of Networking / 16.1：
CMG / 16.2：
COSMIC / 16.4：
German GI Interest Group on Software Metrics / 16.6：
IFPUG / 16.7：
ISBSG / 16.8：
ISO / 16.9：
SPEC / 16.10：
The MAIN Network / 16.11：
TPC / 16.12：
Internet URLs of Measurement Communities / 16.13：
Hints for the Practitioner and Summary / 16.14：
Glossary
Literature
Index
Introduction / 1：
Making Metrics a Success - The Business Perspective / 2：
The Business Need for Measurement / 2.1：
25.

電子ブック
ＥＢ
25. Best Practices in Software Measurement
Manfred; Dumke, Reiner; Ebert, Christof; Schmietendorf, Andreas Bundschuh, Rainer Dumke, Christof Ebert, Reiner Dumke, Andreas Schmietendorf, Manfred Bundschuh
出版情報: SpringerLink Books - AutoHoldings , Dordrecht : Springer Berlin Heidelberg, 2005
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目次情報: 続きを見る
Introduction / 1：
Making Metrics a Success - The Business Perspective / 2：
The Business Need for Measurement / 2.1：
Managing by the Numbers / 2.2：
Extraction / 2.2.1：
Evaluation / 2.2.2：
Execution / 2.2.3：
Metrics for Management Guidance / 2.3：
Portfolio Management / 2.3.1：
Technology Management / 2.3.2：
Product and Release Planning / 2.3.3：
Making the Business Case / 2.3.4：
Hints for the Practitioner / 2.4：
Summary / 2.5：
Planning the Measurement Process / 3：
Software Measurement Needs Planning / 3.1：
Goal-Oriented Approaches / 3.2：
The GQM Methodology / 3.2.1：
The CAME Approach / 3.2.2：
Measurement Choice / 3.3：
Measurement Adjustment / 3.4：
Measurement Migration / 3.5：
Measurement Efficiency / 3.6：
Performing the Measurement Process / 3.7：
Measurement Tools and Software e-Measurement / 4.1：
Applications and Strategies of Metrics Tools / 4.2：
Software process measurement and evaluation / 4.2.1：
Software Product Measurement and Evaluation / 4.2.2：
Software Process Resource Measurement and Evaluation / 4.2.3：
Software Measurement Presentation and Statistical Analysis / 4.2.4：
Software Measurement Training / 4.2.5：
Solutions and Directions in Software e-Measurement / 4.3：
Introducing a Measurement Program / 4.4：
Making the Measurement Program Useful / 5.1：
Metrics Selection and Definition / 5.2：
Roles and Responsibilities in a Measurement Program / 5.3：
Building History Data / 5.4：
Positive and Negative Aspects of Software Measurement / 5.5：
It is People not Numbers! / 5.6：
Counter the Counterarguments / 5.7：
Information and Participation / 5.8：
Measurement Infrastructures / 5.9：
Access to Measurement Results / 6.1：
Introduction and Requirements / 6.2：
Motivation: Using Measurements for Benchmarking / 6.2.1：
Source of Metrics / 6.2.2：
Dimensions of a Metrics Database / 6.2.3：
Requirements of a Metrics Database / 6.2.4：
Case Study: Metrics Database for Object-Oriented Metrics / 6.3：
Prerequisites for the Effective Use of Metrics / 6.3.1：
Architecture and Design of the Application / 6.3.2：
Details of the Implementation / 6.3.3：
Functionality of the Metrics Database (Users' View) / 6.3.4：
Size and Effort Estimation / 6.4：
The Importance of Size and Cost Estimation / 7.1：
A Short Overview of Functional Size Measurement Methods / 7.2：
The COSMIC Full Function Point Method / 7.3：
Case Study: Using the COSMIC Full Function Point Method / 7.4：
Estimations Can Be Political / 7.5：
Establishing Buy-In: The Estimation Conference / 7.6：
Estimation Honesty / 7.7：
Estimation Culture / 7.8：
The Implementation of Estimation / 7.9：
Estimation Competence Center / 7.10：
Training for Estimation / 7.11：
Project Control / 7.12：
Project Control and Software Measurement / 8.1：
Applications of Project Control / 8.2：
Monitoring and Control / 8.2.1：
Forecasting / 8.2.2：
Cost Control / 8.2.3：
Defect Detection and Quality Improvement / 8.3：
Improving Quality of Software Systems / 9.1：
Fundamental Concepts / 9.2：
Defect Estimation / 9.2.1：
Defect Detection, Quality Gates and Reporting / 9.2.3：
Early Defect Detection / 9.3：
Reducing Cost of Non-Quality / 9.3.1：
Planning Early Defect Detection Activities / 9.3.2：
Criticality Prediction - Applying Empirical Software Engineering / 9.4：
Identifying Critical Components / 9.4.1：
Practical Criticality Prediction / 9.4.2：
Software Reliability Prediction / 9.5：
Practical Software Reliability Engineering / 9.5.1：
Applying Reliability Growth Models / 9.5.2：
Calculating ROI of Quality Initiatives / 9.6：
Software Process Improvement / 9.7：
Process Management and Process Improvement / 10.1：
Making Change Happen / 10.2：
Setting Reachable Targets / 10.2.2：
Providing Feedback / 10.2.3：
Practically Speaking: Implementing Change / 10.2.4：
Critical Success Factors / 10.2.5：
Process Management / 10.3：
Process Definition and Workflow Management / 10.3.1：
Quantitative Process Management / 10.3.2：
Process Change Management / 10.3.3：
Measuring the Results of Process Improvements / 10.4：
Software Performance Engineering / 10.5：
The Method of Software Performance Engineering / 11.1：
Motivation, Requirements and Goals / 11.2：
Performance-related Risk of Software Systems / 11.2.1：
Requirements and Aims / 11.2.2：
A Practical Approach of Software Performance Engineering / 11.3：
Overview of an Integrated Approach / 11.3.1：
Establishing and Resolving Performance Models / 11.3.2：
Generalization of the Need for Model Variables / 11.3.3：
Sources of Model Variables / 11.3.4：
Performance and Software Metrics / 11.3.5：
Persistence of Software and Performance Metrics / 11.3.6：
Case Study: EAI / 11.4：
Introduction of a EAI Solution / 11.4.1：
Available Studies / 11.4.2：
Developing EAI to Meet Performance Needs / 11.4.3：
Costs of Software Performance Engineering / 11.5：
Performance Risk Model (PRM) / 11.5.1：
Service Level Management / 11.6：
Measuring Service Level Management / 12.1：
Web Services and Service Management / 12.2：
Web Services at a Glance / 12.2.1：
Overview of SLAs / 12.2.2：
Service Agreement and Service Provision / 12.2.3：
Web Service Level Agreements / 12.3：
WSLA Schema Specification / 12.3.1：
Web Services Run-Time Environment / 12.3.2：
Guaranteeing Web Service Level Agreements / 12.3.3：
Monitoring the SLA Parameters / 12.3.4：
Use of a Measurement Service / 12.3.5：
Case Study: Building an Intranet Measurement Application / 12.4：
Applying Measurement Tools / 13.1：
The White-Box Software Estimation Approach / 13.2：
First Web-Based Approach / 13.3：
Second Web-Based Approach / 13.4：
Case Study: Measurements in IT Projects / 13.5：
Estimations: A Start for a Measurement Program / 14.1：
Environment / 14.2：
The IT Organization / 14.2.1：
Function Point Project Baseline / 14.2.2：
Function Point Prognosis / 14.3：
Conclusions from Case Study / 14.4：
Counting and Accounting / 14.4.1：
ISO 8402 Quality Measures and IFPUG GSCs / 14.4.2：
Distribution of Estimated Effort to Project Phases / 14.4.3：
Estimation of Maintenance Tasks / 14.4.4：
The UKSMA and NESMA Standard / 14.4.5：
Enhancement Projects / 14.4.6：
Software Metrics for Maintenance / 14.4.7：
Estimation of Maintenance Effort After Delivery / 14.4.8：
Estimation for (Single) Maintenance Tasks / 14.4.9：
Simulations for Estimations / 14.4.10：
Sensitivity analysis / 14.4.11：
Case Study: Metrics in Maintenance / 14.5：
Motivation for a Tool-based Approach / 15.1：
The Software System under Investigation / 15.2：
Quality Evaluation with Logiscope / 15.3：
Application of Static Source Code Analysis / 15.4：
Metrics Communities and Resources / 15.5：
Benefits of Networking / 16.1：
CMG / 16.2：
COSMIC / 16.4：
German GI Interest Group on Software Metrics / 16.6：
IFPUG / 16.7：
ISBSG / 16.8：
ISO / 16.9：
SPEC / 16.10：
The MAIN Network / 16.11：
TPC / 16.12：
Internet URLs of Measurement Communities / 16.13：
Hints for the Practitioner and Summary / 16.14：
Glossary
Literature
Index
Introduction / 1：
Making Metrics a Success - The Business Perspective / 2：
The Business Need for Measurement / 2.1：
26.

図書
図書
26. Inference in hidden Markov models
Olivier Cappé, Eric Moulines, Tobias Rydén
出版情報: New York : Springer, c2005  xvii, 652 p. ; 25 cm
シリーズ名: Springer series in statistics
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Preface
Contributors
Introduction / 1：
What Is a Hidden Markov Model? / 1.1：
Beyond Hidden Markov Models / 1.2：
Examples / 1.3：
Finite Hidden Markov Models / 1.3.1：
Normal Hidden Markov Models / 1.3.2：
Gaussian Linear State-Space Models / 1.3.3：
Conditionally Gaussian Linear State-Space Models / 1.3.4：
General (Continuous) State-Space HMMs / 1.3.5：
Switching Processes with Markov Regime / 1.3.6：
Left-to-Right and Ergodic Hidden Markov Models / 1.4：
Main Definitions and Notations / 2：
Markov Chains / 2.1：
Transition Kernels / 2.1.1：
Homogeneous Markov Chains / 2.1.2：
Non-homogeneous Markov Chains / 2.1.3：
Hidden Markov Models / 2.2：
Definitions and Notations / 2.2.1：
Conditional Independence in Hidden Markov Models / 2.2.2：
Hierarchical Hidden Markov Models / 2.2.3：
State Inference / Part I：
Filtering and Smoothing Recursions / 3：
Basic Notations and Definitions / 3.1：
Likelihood / 3.1.1：
Smoothing / 3.1.2：
The Forward-Backward Decomposition / 3.1.3：
Implicit Conditioning (Please Read This Section!) / 3.1.4：
Forward-Backward / 3.2：
The Forward-Backward Recursions / 3.2.1：
Filtering and Normalized Recursion / 3.2.2：
Markovian Decompositions / 3.3：
Forward Decomposition / 3.3.1：
Backward Decomposition / 3.3.2：
Complements / 3.4：
Advanced Topics in Smoothing / 4：
Recursive Computation of Smoothed Functionals / 4.1：
Fixed Point Smoothing / 4.1.1：
Recursive Smoothers for General Functionals / 4.1.2：
Comparison with Forward-Backward Smoothing / 4.1.3：
Filtering and Smoothing in More General Models / 4.2：
Smoothing in Markov-switching Models / 4.2.1：
Smoothing in Partially Observed Markov Chains / 4.2.2：
Marginal Smoothing in Hierarchical HMMs / 4.2.3：
Forgetting of the Initial Condition / 4.3：
Total Variation / 4.3.1：
Lipshitz Contraction for Transition Kernels / 4.3.2：
The Doeblin Condition and Uniform Ergodicity / 4.3.3：
Forgetting Properties / 4.3.4：
Uniform Forgetting Under Strong Mixing Conditions / 4.3.5：
Forgetting Under Alternative Conditions / 4.3.6：
Applications of Smoothing / 5：
Models with Finite State Space / 5.1：
Maximum a Posteriori Sequence Estimation / 5.1.1：
Filtering and Backward Markovian Smoothing / 5.2：
Linear Prediction Interpretation / 5.2.2：
The Prediction and Filtering Recursions Revisited / 5.2.3：
Disturbance Smoothing / 5.2.4：
The Backward Recursion and the Two-Filter Formula / 5.2.5：
Application to Marginal Filtering and Smoothing in CGLSSMs / 5.2.6：
Monte Carlo Methods / 6：
Basic Monte Carlo Methods / 6.1：
Monte Carlo Integration / 6.1.1：
Monte Carlo Simulation for HMM State Inference / 6.1.2：
A Markov Chain Monte Carlo Primer / 6.2：
The Accept-Reject Algorithm / 6.2.1：
Markov Chain Monte Carlo / 6.2.2：
Metropolis-Hastings / 6.2.3：
Hybrid Algorithms / 6.2.4：
Gibbs Sampling / 6.2.5：
Stopping an MCMC Algorithm / 6.2.6：
Applications to Hidden Markov Models / 6.3：
Generic Sampling Strategies / 6.3.1：
Gibbs Sampling in CGLSSMs / 6.3.2：
Sequential Monte Carlo Methods / 7：
Importance Sampling and Resampling / 7.1：
Importance Sampling / 7.1.1：
Sampling Importance Resampling / 7.1.2：
Sequential Importance Sampling / 7.2：
Sequential Implementation for HMMs / 7.2.1：
Choice of the Instrumental Kernel / 7.2.2：
Sequential Improtance Sampling with Resampling / 7.3：
Weight Degeneracy / 7.3.1：
Resampling / 7.3.2：
Implementation of Multinomial Resampling / 7.4：
Alternatives to Multinomial Resampling / 7.4.2：
Advanced Topics in Sequential Monte Carlo / 8：
Alternatives to SISR / 8.1：
I.I.D. Sampling / 8.1.1：
Two-Stage Sampling / 8.1.2：
Interpretation with Auxiliary Variables / 8.1.3：
Auxiliary Accept-Reject Sampling / 8.1.4：
Markov Chain Monte Carlo Auxiliary Sampling / 8.1.5：
Sequential Monte Carlo in Hierarchical HMMs / 8.2：
Sequential Importance Sampling and Global Sampling / 8.2.1：
Optimal Sampling / 8.2.2：
Application to CGLSSMs / 8.2.3：
Particle Approximation of Smoothing Functionals / 8.3：
Analysis of Sequential Monte Carlo Methods / 9：
Unnormalized Importance Sampling / 9.1：
Deviation Inequalities / 9.1.2：
Self-normalized Importance Sampling Estimator / 9.1.3：
The Algorithm / 9.2：
Weighting and Resampling / 9.2.2：
Application to the Single-Stage SIR Algorithm / 9.2.4：
Single-Step Analysis of SMC Methods / 9.3：
Mutation Step / 9.3.1：
Description of Algorithms / 9.3.2：
Analysis of the Mutation/Selection Algorithm / 9.3.3：
Analysis of the Selection/Mutation Algorithm / 9.3.4：
SISR / 9.4：
Weak Limits Theorems for Triangular Array / 9.4.2：
Bibliographic Notes / 9.5.2：
Parameter Inference / Part II：
Maximum Likelihood Inference, Part I: Optimization Through Exact Smoothing / 10：
Likelihood Optimization in Incomplete Data Models / 10.1：
Problem Statement and Notations / 10.1.1：
The Expectation-Maximization Algorithm / 10.1.2：
Gradient-based Methods / 10.1.3：
Pros and Cons of Gradient-based Methods / 10.1.4：
Application to HMMs / 10.2：
Hidden Markov Models as Missing Data Models / 10.2.1：
EM in HMMs / 10.2.2：
Computing Derivatives / 10.2.3：
Connection with the Sensitivity Equation Approach / 10.2.4：
The Example of Normal Hidden Markov Models / 10.3：
EM Parameter Update Formulas / 10.3.1：
Estimation of the Initial Distribution / 10.3.2：
Recursive Implementation of E-Step / 10.3.3：
Computation of the Score and Observed Information / 10.3.4：
The Example of Gaussian Linear State-Space Models / 10.4：
The Intermediate Quantity of EM / 10.4.1：
Recursive Implementation / 10.4.2：
Global Convergence of the EM Algorithm / 10.5：
Rate of Convergence of EM / 10.5.2：
Generalized EM Algorithms / 10.5.3：
Maximum Likelihood Inference, Part II: Monte Carlo Optimization / 10.5.4：
Methods and Algorithms / 11.1：
Monte Carlo EM / 11.1.1：
Simulation Schedules / 11.1.2：
Gradient-based Algorithms / 11.1.3：
Interlude: Stochastic Approximation and the Robbins-Monro Approach / 11.1.4：
Stochastic Gradient Algorithms / 11.1.5：
Stochastic Approximation EM / 11.1.6：
Stochastic EM / 11.1.7：
Analysis of the MCEM Algorithm / 11.2：
Convergence of Perturbed Dynamical Systems / 11.2.1：
Convergence of the MCEM Algorithm / 11.2.2：
Rate of Convergence of MCEM / 11.2.3：
Analysis of Stochastic Approximation Algorithms / 11.3：
Basic Results for Stochastic Approximation Algorithms / 11.3.1：
Convergence of the Stochastic Gradient Algorithm / 11.3.2：
Rate of Convergence of the Stochastic Gradient Algorithm / 11.3.3：
Convergence of the SAEM Algorithm / 11.3.4：
Statistical Properties of the Maximum Likelihood Estimator / 11.4：
A Primer on MLE Asymptotics / 12.1：
Stationary Approximations / 12.2：
Consistency / 12.3：
Construction of the Stationary Conditional Log-likelihood / 12.3.1：
The Contrast Function and Its Properties / 12.3.2：
Identifiability / 12.4：
Equivalence of Parameters / 12.4.1：
Identifiability of Mixture Densities / 12.4.2：
Application of Mixture Identifiability to Hidden Markov Models / 12.4.3：
Asymptotic Normality of the Score and Convergence of the Observed Information / 12.5：
The Score Function and Invoking the Fisher Identity / 12.5.1：
Construction of the Stationary Conditional Score / 12.5.2：
Weak Convergence of the Normalized Score / 12.5.3：
Convergence of the Normalized Observed Information / 12.5.4：
Asymptotics of the Maximum Likelihood Estimator / 12.5.5：
Applications to Likelihood-based Tests / 12.6：
Fully Bayesian Approaches / 12.7：
Parameter Estimation / 13.1：
Bayesian Inference / 13.1.1：
Prior Distributions for HMMs / 13.1.2：
Non-identifiability and Label Switching / 13.1.3：
MCMC Methods for Bayesian Inference / 13.1.4：
Reversible Jump Methods / 13.2：
Variable Dimension Models / 13.2.1：
Green's Reversible Jump Algorithm / 13.2.2：
Alternative Sampler Designs / 13.2.3：
Alternatives to Reversible Jump MCMC / 13.2.4：
Multiple Imputations Methods and Maximum a Posteriori / 13.3：
Simulated Annealing / 13.3.1：
The SAME Algorithm / 13.3.2：
Background and Complements / Part III：
Elements of Markov Chain Theory / 14：
Chains on Countable State Spaces / 14.1：
Irreducibility / 14.1.1：
Recurrence and Transience / 14.1.2：
Invariant Measures and Stationarity / 14.1.3：
Ergodicity / 14.1.4：
Chains on General State Spaces / 14.2：
Geometric Ergodicity and Foster-Lyapunov Conditions / 14.2.1：
Limit Theorems / 14.2.6：
Phi-irreducibility / 14.3：
Atoms and Small Sets / 14.3.2：
Recurrence and Positive Recurrence / 14.3.3：
An Information-Theoretic Perspective on Order Estimation / 15：
Model Order Identification: What Is It About? / 15.1：
Order Estimation in Perspective / 15.2：
Order Estimation and Composite Hypothesis Testing / 15.3：
Code-based Identification / 15.4：
Definitions / 15.4.1：
Information Divergence Rates / 15.4.2：
MDL Order Estimators in Bayesian Settings / 15.5：
Strongly Consistent Penalized Maximum Likelihood Estimators for HMM Order Estimation / 15.6：
Efficiency Issues / 15.7：
Variations on Stein's Lemma / 15.7.1：
Achieving Optimal Error Exponents / 15.7.2：
Consistency of the BIC Estimator in the Markov Order Estimation Problem / 15.8：
Some Martingale Tools / 15.8.1：
The Martingale Approach / 15.8.2：
The Union Bound Meets Martingale Inequalities / 15.8.3：
Appendices / 15.9：
Conditioning / A：
Probability and Topology Terminology and Notation / A.1：
Conditional Expectation / A.2：
Conditional Distribution / A.3：
Conditional Independence / A.4：
Linear Prediction / B：
Hilbert Spaces / B.1：
The Projection Theorem / B.2：
Notations / C：
Mathematical / C.1：
Probability / C.2：
Sequential Monte Carlo / C.3：
References
Index
Preface
Contributors
Introduction / 1：
27.

図書
図書
27. Quantitation of amino acids and amines by chromatography : methods and protocols. 1st ed.
edited by Ibolya Molnár-Perl
出版情報: Amsterdam : Elsevier B. V., c2005  xii, 655 p. ; 25 cm
シリーズ名: Journal of chromatography library ; 70
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Amino Acids / Part 1：
Gas Chromatography / 1.1：
Quantitation of Amino Acids as Chloroformates - A Return to Gas Chromatography / Petr Husek1.1.1：
Quantitation of Amino Acids by Gas-Liquid Chromatography / Charles W. Gehrke1.1.2：
Chiral separations of Amino Acids by Gas Chromatography / Ralf Patzold ; Hans Bruckner1.1.3：
High Performance Liquid Chromatography / 1.2：
HPLC of Amino Acids without Derivatization / Claire Elfakir1.2.1：
HPLC of Amino Acids as Phenylthiocarbamoyl Derivatives / Ibolya Molnar-Perl1.2.2：
HPLC of Amino Acids as o-Phthalaldehyde Derivatives / 1.2.3：
HPLC of Amino Acids as Chloroformate Derivatives / Bjorn Josefsson1.2.4：
HPLC of Amino Acids as Dansyl and Dabsyl Derivatives / Toyohide Takeuchi1.2.5：
Quantitation of Amino Acids as 6-Aminoquinolyl-N-hydroxysuccinimidyl Carbamate Derivatives / Steven A. Cohen1.2.6：
Capillary Electrophoresis/Capillary Electrochromatography / 1.3：
Determination of Underivatized Amino Acids by Capillary Electrophoresis and Capillary Electrochromatography / Christian W. Klampfl1.3.1：
Quantitation of Amino Acids as o-Phthalaldehyde derivatives / Shigeyuki Oguri1.3.2：
Capillary Electrophoresis and Capillary Electrochromatography of Amino Acids as Dansyl Derivatives / Zilin Chen1.3.3：
Amines / Part 2：
Gas Chromatographic Determination of Volatile Aliphatic and Selected Aromatic Amines, without Derivatization: Solid Phase Microextraction / Jacek Namiesnik ; Bogdan Zigmunt2.1：
Gas Chromatography of Amines as Various Derivatives / Hiroyuki Kataoka2.1.2：
HPLC of Amines as o-Phthalaldehyde Derivatives / 2.2：
Quantitation by HPLC of Amines as Dansyl Derivatives / Manuel Silva2.2.2：
HPLC of Amines as 9-Fluorenylmethyl Chloroformate Derivatives / Paul Chi Ho2.2.3：
HPLC of Biogenic Amines as 6-Aminoquinolyl-N-hydroxysuccinimidyl Derivatives / Thomas Weiss2.2.4：
Determination of Underivatized Amines by CE and CEC / 2.3：
Quantitation of Amines by Oncolumn Derivatives with o-Phthalaldehyde by CEC / 2.3.2：
Quantitation of Amino Acids and Amines, Simultaneously / 3：
Quantitation of Polyamines by Chromatography / Ynze Mengerink4：
Amino Acids / Part 1：
Gas Chromatography / 1.1：
Quantitation of Amino Acids as Chloroformates - A Return to Gas Chromatography / Petr Husek1.1.1：
28.

図書
図書
28. Laser fundamentals (pt. 1 ; pt. 2)
editors, H. Weber, G. Herziger, R. Poprawe ; authors, H.J. Eichler ... [et al.]
出版情報: Berlin : Springer, c2005-  v. ; 28 cm.
シリーズ名: Landolt-Börnstein Zahlenwerte und Funktionen aus Naturwissenschaften und Technik, Neue Serie / Gesamtherausgabe, K.-H. Hellwege ; New series, Group 8 . Advanced materials and technologies ; v. 1 . Laser physics and applications ; Subvol. A
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Quantum optics / Part 5：
Introduction / F. Haug ; M. Freyberger ; K. Vogel ; W.P. Schleich5.1：
A brief history of quantum optics / 5.1.1.1：
Outline of the review / 5.1.1.2：
Field quantization in Coulomb gauge / 5.1.2：
Mode expansion / 5.1.2.1：
Running waves / 5.1.2.1.1：
Standing waves / 5.1.2.1.2：
Energy of the radiation field / 5.1.2.1.3：
Field quantization / 5.1.2.2：
Single mode / 5.1.2.3：
Field states / 5.1.3：
Pure and mixed states / 5.1.3.1：
Photon number states / 5.1.3.2：
Coherent states / 5.1.3.3：
Squeezed states / 5.1.3.4：
Thermal states / 5.1.3.5：
Measures of non-classicality / 5.1.3.6：
Mandel Q-parameter / 5.1.3.6.1：
Glauber-Sudarshan distribution / 5.1.3.6.2：
Atom-field interaction / 5.1.4：
Electric field-dipole interaction / 5.1.4.1：
Simple model for atom-field interaction / 5.1.4.2：
Hamiltonian / 5.1.4.2.1：
Dynamics of Jaynes-Cummings-Paul model / 5.1.4.2.2：
Quantum motion in an ion trap / 5.1.4.2.3：
Quantum state engineering / 5.1.4.3：
Resonant case: photon number state preparation / 5.1.4.3.1：
Far off-resonant case: Schrödinger cat state preparation / 5.1.4.3.2：
Reservoir theory / 5.1.5：
Master equation / 5.1.5.1：
Mathematics of the model / 5.1.5.1.1：
Methods of solution / 5.1.5.1.2：
Damping and amplification / 5.1.5.2：
Decoherence / 5.1.5.3：
One-atom maser / 5.1.6：
Steady-state photon statistics / 5.1.6.1：
Atom-reservoir interaction / 5.1.7：
Lamb shift / 5.1.7.1：
Weisskopf-Wigner decay / 5.1.7.3：
Resonance fluorescence / 5.1.8：
Model / 5.1.8.1：
Spectrum and antibunching / 5.1.8.2：
Fundamental questions of quantum mechanics / 5.1.9：
Quantum jumps / 5.1.9.1：
Continuous versus discontinuous dynamics / 5.1.9.1.1：
Experimental observation / 5.1.9.1.2：
Wave-particle duality / 5.1.9.2：
Delayed choice experiments / 5.1.9.2.1：
Quantum-optical tests of complementarity / 5.1.9.2.2：
Entanglement / 5.1.9.3：
Bell inequality / 5.1.9.4：
New frontiers / 5.1.10：
Atom optics in quantized fields / 5.1.10.1：
Bose-Einstein condensation / 5.1.10.2：
History / 5.1.10.2.1：
Bose-Einstein condensation in dilute atomic gases / 5.1.10.2.2：
Gross-Pitaevskii equation / 5.1.10.2.3：
Experiments with Bose-Einstein condensates / 5.1.10.2.4：
Quantum information / 5.1.10.3：
Quantum teleportation / 5.1.10.3.1：
Quantum cryptography / 5.1.10.3.2：
References for 5.1
Coherence and superradiance / Part 6：
Coherence / W. Martienssen ; H. Paul6.1：
Historical remarks / 6.1.1：
Basic concepts / 6.1.2：
Classical light / 6.1.2.1：
Non-classical light / 6.1.2.2：
Field mode / 6.1.2.3：
Single-mode field / 6.1.2.4：
Electric field strength / 6.1.2.5：
Interference / 6.1.2.6：
Coherence theory / 6.1.2.7：
Field correlation functions / 6.1.3.1：
Definitions / 6.1.3.1.1：
Connections between correlation functions of different order / 6.1.3.1.2：
First-order coherence / 6.1.3.2：
Degree of coherence / 6.1.3.2.1：
Temporal coherence / 6.1.3.2.2：
Spatial coherence / 6.1.3.2.3：
Filtering out coherent light from a chaotic source / 6.1.3.2.4：
Measurement of coherence lengths / 6.1.3.2.5：
Laser light versus chaotic light / 6.1.3.3：
Generating mechanisms and radiation characteristics / 6.1.3.3.1：
Chaotic light / 6.1.3.3.1.1：
Laser light / 6.1.3.3.1.2：
Interference between beams from independent sources / 6.1.3.3.2：
Coherent interaction / 6.1.3.3.3：
Particle interference / 6.1.3.4：
Higher-order coherence / 6.1.3.5：
Intensity interference / 6.1.4：
Formal description / 6.1.4.1：
Measurement / 6.1.4.2：
Spatial intensity correlations / 6.1.4.3：
Stellar intensity interferometry / 6.1.4.3.1：
Temporal intensity correlations / 6.1.4.4：
Amplitude stabilization / 6.1.4.4.1：
Photon bunching / 6.1.4.4.2：
Photon antibunching / 6.1.4.4.3：
Experiments with entangled photon pairs / 6.1.4.5：
Parametric down-conversion / 6.1.4.5.1：
Two-photon mixing / 6.1.4.5.2：
Hong-Ou-Mandel interferometer / 6.1.4.5.2.1：
Photon-pair interference / 6.1.4.5.3：
Interferometric devices / 6.1.4.5.3.1：
Franson experiment / 6.1.4.5.3.2：
Photon counting statistics / 6.1.5：
Photon distribution functions / 6.1.5.1：
Measurements under different experimental conditions / 6.1.5.3：
Variances of the photon number / 6.1.5.4：
References for 6.1
Superradiance / M.G. Benedict ; E.D. Trifonov6.2：
Definitions and historical layout / 6.2.1：
Superradiance theory / 6.2.2：
Superradiance of a system with dimensions smaller than the radiation wavelength / 6.2.2.1：
Superradiation of an extended multiatomic system / 6.2.2.2：
Superradiance experiments / 6.2.3：
A microscopic observation of superradiance and subradiance / 6.2.3.1：
Superradiance experiments in pencil-shaped macroscopic samples / 6.2.3.2：
Superradiant-type Rayleigh scattering from a Bose-Einstein condensate / 6.2.3.3：
Outlook / 6.2.4：
References for 6.2
Optical components / Part 7：
Modulators / B. Kuhlow7.1：
Light propagation in crystals / 7.1.1：
Linear electro-optic effect / 7.1.3：
Modulator devices / 7.1.3.1：
Phase modulation / 7.1.3.1.1：
Polarization modulation (dynamic retardation) / 7.1.3.1.2：
Amplitude modulation / 7.1.3.1.3：
Design considerations / 7.1.3.1.4：
Traveling-wave modulator / 7.1.3.2：
Examples / 7.1.3.3：
Crystal classes / 7.1.3.3.1：
Crystal class <$>\bar {4}<$>2m / 7.1.3.3.1.1：
Crystal class 3m / 7.1.3.3.1.2：
Crystal class <$>\bar {4}<$>3m / 7.1.3.3.1.3：
Selected electro-optic materials and modulator systems / 7.1.3.3.2：
Electro-optic beam deflector / 7.1.3.4：
Kerr electro-optic effect modulators / 7.1.4：
Kerr effect in isotropic media / 7.1.4.1：
Acousto-optic modulators / 7.1.5：
The photoelastic effect / 7.1.5.1：
Interaction regimes / 7.1.5.2：
Raman-Nath regime / 7.1.5.2.1：
Bragg regime / 7.1.5.2.2：
Isotropic interaction / 7.1.5.2.2.1：
Anisotropic interaction / 7.1.5.2.2.2：
Efficiency / 7.1.5.2.2.3：
Bandwidth / 7.1.5.2.2.4：
Acousto-optic intensity modulator / 7.1.5.3：
Acousto-optic deflector / 7.1.5.4：
Glossary / 7.1.6：
References for 7.1
Thin-film technology / D. Ristau7.2：
Basic principle of optical thin-film systems / 7.2.1：
Production of optical coatings / 7.2.3：
Quality parameters of optical laser components / 7.2.4：
Measurement of critical parameters of laser components / 7.2.5：
Calorimetric measurement of absorption / 7.2.5.1：
Measurement of total scattering / 7.2.5.2：
Laser-induced damage thresholds / 7.2.5.3：
Quality parameters of laser components: present state / 7.2.5.4：
Examples for advanced laser components / 7.2.6：
Summary and future trends / 7.2.7：
References for 7.2
Beam shaping / M. Scholl7.3：
Beam-shaping techniques and design procedures / 7.3.1：
Beam transformation / 7.3.2.1：
Coherent beams / 7.3.2.1.1：
Partially coherent beams and geometric optic approximation / 7.3.2.1.2：
Comparison of the geometric-optical solution with the solution from the coherent techniques / 7.3.2.1.3：
Beam integration / 7.3.2.2：
Beam integration with beamlet shaping / 7.3.2.3：
Beam shaping and coherence / 7.3.2.4：
Beam splitting / 7.3.2.5：
Manufacturing of beam-shaping elements / 7.3.2.6：
Conclusion / 7.3.3：
References for 7.3
Optical resonators / Part 8：
Linear stable resonators / N. Hodgson8.1：
Linear unstable resonators / 8.1.1.2：
Ring resonators / 8.1.1.3：
Waveguide resonators / 8.1.1.4：
Reviewing the basic properties of all optical resonators / 8.1.1.5：
Classification of optical resonators / 8.1.2：
Unconfined stable resonators / 8.1.3：
Transverse mode structures / 8.1.3.1：
Gauss-Laguerre and Gauss-Hermite modes / 8.1.3.1.1：
Hybrid modes / 8.1.3.1.2：
Beam propagation of stable resonator modes / 8.1.3.2：
Fundamental mode / 8.1.3.2.1：
Higher-order modes / 8.1.3.2.2：
Beam quality and resonator parameters / 8.1.3.3：
Resonance frequencies / 8.1.3.4：
Aperture-limited stable resonators / 8.1.4：
Resonators with one aperture / 8.1.4.1：
Resonators with two apertures / 8.1.4.2：
Misalignment sensitivity / 8.1.5：
Fundamental-mode operation / 8.1.5.1：
Multimode operation / 8.1.5.2：
Unstable resonators / 8.1.6：
Beam propagation / 8.1.6.1：
Characterization of unstable resonators / 8.1.6.1.1：
Resonator schemes / 8.1.6.1.2：
Mode structures and losses / 8.1.6.2：
Beam quality / 8.1.6.3：
Circular symmetry / 8.1.6.3.1：
Rectangular symmetry / 8.1.6.3.2：
Unstable resonators with variable-reflectivity mirrors / 8.1.6.4：
Applications of unstable resonators / 8.1.6.5：
Output power of stable resonators / 8.1.7：
Calculation of the output power of stable resonators / 8.1.7.1：
Optimum output coupling and maximum output power / 8.1.7.2：
Homogeneous line broadening / 8.1.7.2.1：
Inhomogeneous line broadening / 8.1.7.2.2：
Thermal lensing in solid-state lasers / 8.1.8：
Transverse multimode operation / 8.1.8.1：
General properties of ring resonators / 8.1.9：
Unstable ring resonators / 8.1.9.2：
Nonplanar ring resonators / 8.1.9.3：
Motivation / 8.1.10：
Eigenmodes of hollow rectangular waveguides / 8.1.10.2：
Properties of waveguide resonators / 8.1.10.3：
Waveguide resonator configurations / 8.1.10.3.1：
Case I resonators / 8.1.10.3.1.1：
Case II resonators / 8.1.10.3.1.2：
Case III resonators / 8.1.10.3.1.3：
Calculated round-trip losses of the lowest-loss resonator mode / 8.1.10.3.2：
Mode properties of a general waveguide resonator / 8.1.10.3.3：
Waveguide resonator mode and loss calculations / 8.1.10.4：
Properties of slab waveguide lasers / 8.1.10.5：
References for 8.1
Interferometry / Part 9：
Basic principles of interference / H.J. Tiziani ; N. Kerwien ; G. Pedrini9.1：
Two-beam interference / 9.1.2.1：
Interference in a plane-parallel plate / 9.1.2.3：
Vector effects of interference / 9.1.2.4：
Interferometry for optical testing / 9.1.3：
Basic interferometer types / 9.1.3.1：
Michelson interferometer / 9.1.3.1.1：
Twyman-Green interferometer / 9.1.3.1.2：
Fizeau interferometer / 9.1.3.1.3：
Mach-Zehnder interferometer / 9.1.3.1.4：
Shearing interferometry / 9.1.3.1.5：
Fabry-Perot interferometer / 9.1.3.1.6：
Quantitative electronic phase evaluation techniques / 9.1.3.2：
The Fourier-transform technique / 9.1.3.2.1：
Fringe analysis by phase shifting / 9.1.3.2.2：
Phase-locked interferometry / 9.1.3.2.3：
Interferometry for surface metrology / 9.1.4：
Interferometry with extended range and reduced sensitivity: Oblique incidence interferometry / 9.1.4.1：
Prismatic interferometer with oblique incidence / 9.1.4.1.1：
Grating interferometer with oblique incidence / 9.1.4.1.2：
Multiwavelength interferometry / 9.1.4.2：
White-light interferometry / 9.1.4.3：
Polarization interferometry / 9.1.4.4：
Heterodyne interferometry for velocity and distance measurement / 9.1.5：
Principle of heterodyne interferometry / 9.1.5.1：
Absolute heterodyne interferometry: Double heterodyne interferometry (DHI) / 9.1.5.2：
Interferometry with adaptive optics / 9.1.6：
Interferometry with a null corrector / 9.1.6.1：
Adaptive optics with optical light modulator / 9.1.6.2：
Adaptive optics with deformable membrane mirror / 9.1.6.3：
Adaptive optics for optical stitching using dynamically tilted reference wave / 9.1.6.4：
Speckle pattern interferometry / 9.1.7：
Some properties of speckles / 9.1.7.1：
Speckle applications / 9.1.7.2：
Speckle pattern interferometry for deformation measurements / 9.1.7.3：
Phase analysis in speckle interferometry / 9.1.7.4：
Phase analysis by phase stepping / 9.1.7.4.1：
Phase analysis by spatial phase shifting / 9.1.7.4.2：
Analysis of vibrating objects / 9.1.7.4.3：
Temporal speckle pattern interferometry (TSPI) / 9.1.7.5：
Shape measurement with TSPI by using time-varying wavelength change / 9.1.7.5.1：
Laser diode with external cavity for wavelength change / 9.1.7.5.2：
Application of TSPI for deformation measurement / 9.1.7.5.3：
Deformation measurements by TSPI and digital holography, a comparison / 9.1.7.5.4：
Vibration measurement with TSPI / 9.1.7.5.5：
Holographic interferometry / 9.1.8：
Principle of holography / 9.1.8.1：
Principle of holographic interferometry / 9.1.8.2：
Digital holography / 9.1.8.3：
Principle of digital holography / 9.1.8.3.1：
Configurations for recording and reconstruction of digital holograms / 9.1.8.3.2：
Lensless Fourier hologram / 9.1.8.3.2.1：
Fresnel hologram / 9.1.8.3.2.2：
Image-plane hologram / 9.1.8.3.2.3：
Digital holographic interferometry / 9.1.8.4：
Principle of digital holographic interferometry / 9.1.8.4.1：
Digital holographic interferometry for dynamic deformations / 9.1.8.4.2：
Dimensional measurements / 9.1.8.4.2.1：
Digital holographic interferometry for deformation and vibration analysis of 3D objects / 9.1.8.4.2.2：
Pulsed digital holographic interferometry for endoscopic investigations / 9.1.8.4.3：
Temporal phase unwrapping of digital holograms / 9.1.8.4.4：
References for 9.1
Index
Fundamentals of light-matter interaction: Fundamentals of the semiclassical laser theory.
Radiometry: Definition and measurement of radiometric quantities.
Beam characterization.
Linear optics.
Nonlinear optics: Frequency conversion in crystals.
Frequency conversion in gases and liquids.
Stimulated scattering.
Phase conjugation.
Index.
Quantum optics / Part 5：
Introduction / F. Haug ; M. Freyberger ; K. Vogel ; W.P. Schleich5.1：
A brief history of quantum optics / 5.1.1.1：
29.

電子ブック
ＥＢ
29. Implementing Distributed Systems with Java and CORBA
Markus Aleksy, Axel Korthaus, Martin Schader
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2005
所蔵情報: loading…
目次情報: 続きを見る
Preliminaries / 1：
Organization of the Book / 1.1：
Additional Material / 1.2：
Conventions Used in This Book / 1.3：
How to Read This Book / 1.4：
Introduction / 2：
Object-Oriented Paradigm / 2.1：
Distributed Systems / 2.2：
Concepts of the CORBA Standard / 3：
Object Management Group / 3.1：
Object Management Architecture / 3.2：
Common Object Request Broker Architecture / 3.3：
Elements of the CORBA Standard / 3.4：
Object Request Broker / 3.4.1：
Object Adapter / 3.4.2：
Interface Definition Language / 3.4.3：
Interface Repository / 3.4.4：
Dynamic Invocation Interface / 3.4.5：
Dynamic Skeleton Interface / 3.4.6：
Implementation Repository / 3.4.7：
Procedural Steps in Developing a CORBA-Based Application / 3.5：
Remote Invocations / 3.6：
Interoperability in the CORBA Standard / 3.7：
Protocols Defined by CORBA / 3.7.1：
Interoperable Object Reference / 3.7.2：
Introduction to the Interface Definition Language / 4：
Lexical Elements of IDL / 4.1：
Comments / 4.1.1：
Identifiers / 4.1.2：
Excursion: Style Guidelines for IDL Identifiers / 4.1.2.1：
Excursion: Additional Formatting Rules / 4.1.2.2：
Keywords / 4.1.3：
Punctuation Characters / 4.1.4：
Preprocessor Directives / 4.1.5：
Syntax Notation / 4.1.6：
IDL Types / 4.2：
Basic Types / 4.2.1：
Constructed Types / 4.2.2：
Structures / 4.2.2.1：
Enumerations / 4.2.2.2：
Unions / 4.2.2.3：
Excursion: Named Data Types / 4.2.3：
Template Types / 4.2.4：
Fixed Types / 4.2.4.1：
String Types / 4.2.4.2：
Sequences / 4.2.4.3：
Arrays / 4.2.5：
Native Types / 4.2.6：
Interfaces / 4.2.7：
Value Types / 4.2.8：
IDL Constants / 4.3：
Literal Constants / 4.3.1：
Integer Literals / 4.3.1.1：
Floating-point Literals / 4.3.1.2：
Fixed-point Literals / 4.3.1.3：
Character Literals / 4.3.1.4：
String Literals / 4.3.1.5：
Boolean Literals / 4.3.1.6：
Declaration of Symbolic Constants / 4.3.2：
Operators / 4.3.2.1：
Exceptions / 4.4：
Interface Declarations / 4.5：
Attribute Declarations / 4.5.1：
Operation Declarations / 4.5.2：
Module Declarations / 4.6：
Scoping / 4.8：
Concluding Remarks / 4.9：
Interoperability / 4.9.1：
Using Anonymous Types / 4.9.2：
Exercises / 4.10：
IDL to Java Mapping / 5：
Introductory Remarks / 5.1：
Names / 5.2：
Mapping for Basic Data Types / 5.3：
Holder Classes / 5.4：
Helper Classes / 5.5：
Mapping for Modules / 5.6：
Mapping for Constants / 5.7：
Mapping for typedefs / 5.8：
Mapping for structs / 5.9：
Mapping for enums / 5.10：
Mapping for Sequences / 5.11：
Mapping for Arrays / 5.12：
Mapping for Exceptions / 5.13：
Mapping for Interfaces / 5.14：
Regular IDL Interfaces / 5.14.1：
Local IDL Interfaces / 5.14.2：
Abstract IDL Interfaces / 5.14.3：
Mapping for Value Types / 5.15：
Regular Value Types / 5.15.1：
Abstract Value Types / 5.15.2：
Boxed Value Types / 5.15.3：
Mapping for anys / 5.16：
Mapping for in, inout, and out Parameters / 5.17：
Mapping for Attributes / 5.18：
Mapping for Operations / 5.19：
Important Elements of the ORB Runtime / 5.20：
Initializing a CORBA Application / 6.1：
Operation ORB_init() / 6.1.1：
Pseudo Interface CORBA::ORB / 6.2：
Operation list_initial_services () / 6.2.1：
Operation resolve_initial_references () / 6.2.2：
Operations object_to_string () and string_to_object () / 6.2.3：
Thread-Related ORB Operations / 6.2.4：
Java Mapping of Pseudo Interface CORBA::ORB / 6.2.5：
Portable Object Adapter / 6.3：
POA Policies / 6.3.1：
Overview on POA Functionality / 6.3.2：
POA Manager / 6.3.3：
Servant Activators / 6.3.4：
Servant Locators / 6.3.5：
Java Mapping of Interface POA / 6.3.6：
Pseudo Interface CORBA::Object / 6.4：
IDL Operations of CORBA::Object / 6.4.1：
Java Mapping of Pseudo Interface CORBA::Object / 6.4.2：
Pseudo Interface CORBA::TypeCode / 6.5：
Pseudo Interface CORBA::NamedValue / 6.6：
Pseudo Interface CORBA::NVList / 6.6.2：
Pseudo Interface CORBA::Request / 6.6.3：
ORB Operations for the Dynamic Invocation Interface / 6.6.4：
Object Operations for the Dynamic Invocation Interface / 6.6.5：
Java Mapping of DII-related Pseudo Interfaces and Operations / 6.6.6：
Pseudo Interface CORBA::ServerRequest / 6.7：
Java Mapping of the DSI / 6.7.2：
Java Class Servant / 6.8：
A First Example / 6.9：
JDK's IDL Compiler / 7.1：
JacORB's IDL Compiler / 7.2：
OpenORB's IDL Compiler / 7.3：
Recommended File Organization / 7.4：
Implementing Counter Using the Inheritance Approach / 7.5：
Implementing the Server Application for the Inheritance Approach / 7.6：
Compiling the Server Application / 7.7：
Implementing the Client Application / 7.8：
Compiling the Client Application / 7.9：
Running the Application / 7.10：
Implementing Counter Using the Delegation Approach / 7.11：
Implementing the Server Application for the Delegation Approach / 7.12：
A GUI for the Client Application / 7.13：
Using Different ORBs / 7.14：
Modules / 7.15：
Generating Remote Objects / 7.16：
Implementing the CounterFactory Servant / 8.1：
Implementing the CounterFactory Server / 8.2：
Implementing the CounterFactory Client / 8.3：
Alternatives for Designing IDL Interfaces / 8.4：
Attributes vs. Operations / 9.1：
Returning Results From an Operation / 9.2：
Inheritance and Polymorphism / 9.3：
IDL Definition of DateTimeServer / 10.1：
Implementing the Inheritance Approach / 10.2：
Implementing TimeServer / 10.2.1：
Implementing DateTimeServer / 10.2.2：
Implementing the Server Application / 10.2.3：
Implementing the Example with the Delegation Approach / 10.2.4：
Modifying the Server Application / 10.3.1：
An Example for Polymorphism / 10.4：
Implementing Distributed Callbacks / 10.5：
Defining IDL Interfaces / 11.1：
Implementing the Counter Servant / 11.2：
Implementing the CBCount Server / 11.3：
Implementing the CounterClient Servant / 11.4：
Further Usages of the Callback Technique / 11.5：
Exercise / 11.7：
Utilizing Value Types / 12：
Defining IDL Module PublishSubscribe / 12.1：
Implementing Value Type Filter / 12.2：
Implementing the FilterImpl Class / 12.2.1：
Using Class FilterDefaultFactory / 12.2.2：
Implementing Class PublisherImpl / 12.3：
Implementing Class SubscriberImpl / 12.4：
Utilizing Interfaces of the DynamicAny Module / 12.6：
Usage of Anys and TypeCodes / 13.1：
DynamicAny API / 13.2：
DynAnyFactory Interface / 13.2.1：
DynAny Interface / 13.2.2：
DynFixed Interface / 13.2.3：
DynEnum Interface / 13.2.4：
DynStruct Interface / 13.2.5：
DynUnion Interface / 13.2.6：
DynSequence Interface / 13.2.7：
DynArray Interface / 13.2.8：
DynValueCommon Interface / 13.2.9：
DynValue Interface / 13.2.10：
DynValueBox Interface / 13.2.11：
Usage of the DynamicAny API in Java / 13.3：
Implementing Servant and Server Application / 13.3.1：
Dynamic Counter Client / 13.3.2：
Dynamic TimeServer Clients / 14.2：
TimeServer Version 1 / 14.2.1：
TimeServer Version 2 / 14.2.2：
TimeServer Version 3 / 14.2.3：
TimeServer Version 4 / 14.2.4：
TimeServer Version 5 / 14.2.5：
Deferred Synchronous Invocations / 14.3：
Defining IDL Module Bank / 14.4：
Implementing the Servant / 15.2：
Implementing Different POAs / 15.3：
Counter Example / 16.1：
Implementing ServantLocator / 16.2：
CORBA's Naming Service / 16.3：
Basics / 17.1：
IDL Definition of the Naming Service / 17.2：
Bootstrapping Problem / 17.3：
URL Schemes / 17.3.1：
Standard Command-Line Options / 17.3.2：
Binding and Reslving a Name with the Naming Service / 17.4：
Implementing GUIClient / 17.4.1：
Starting Naming Service, Server, and Client Applications / 17.4.3：
Using the JDK / 17.4.3.1：
Using JacORB / 17.4.3.2：
Using OpenORB / 17.4.3.3：
Utilizing Naming Contexts / 17.5：
Server Implementation Version 1 / 17.5.1：
Server Implementation Version 2 / 17.5.2：
BindingIterators / 17.5.3：
NamingContextExt Interface / 17.7：
An Example Using the NamingContextExt Interface / 17.7.1：
CORBA's Event Service / 17.7.2：
Event Service Basics / 18.1：
IDL Specification of the Event Service / 18.2：
Supplier and Consumer Interfaces / 18.2.1：
The Event Channel's Administration Interface / 18.2.2：
Proxy Interfaces / 18.2.3：
Using OpenORB's Event Service / 18.3：
Setup and Start of OpenORB's Event Service / 18.3.1：
Using OpenORB's ES with JDK's ORB / 18.3.2：
Using OpenORB's ES with JacORB / 18.3.3：
Push-Style Publish-Subscribe Example / 18.4：
IDL Interfaces for the Example / 18.4.1：
Implementing the Event Supplier / 18.4.2：
Implementing the Publisher Application / 18.4.3：
Implementing the Event Consumer / 18.4.4：
Implementing the Subscriber Application / 18.4.5：
IDL Grammar / 18.4.6：
IDL to Java: Mapping of IDL Standard Exceptions / Appendix B：
Naming Service IDL / Appendix C：
Event Service IDL / Appendix D：
ORB Product Installation / Appendix E：
Acronyms
References
Index
Preliminaries / 1：
Organization of the Book / 1.1：
Additional Material / 1.2：
30.

電子ブック
ＥＢ
30. Implementing Distributed Systems with Java and CORBA
Markus Aleksy, Axel Korthaus, Martin Schader
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2005
所蔵情報: loading…
目次情報: 続きを見る
Preliminaries / 1：
Organization of the Book / 1.1：
Additional Material / 1.2：
Conventions Used in This Book / 1.3：
How to Read This Book / 1.4：
Introduction / 2：
Object-Oriented Paradigm / 2.1：
Distributed Systems / 2.2：
Concepts of the CORBA Standard / 3：
Object Management Group / 3.1：
Object Management Architecture / 3.2：
Common Object Request Broker Architecture / 3.3：
Elements of the CORBA Standard / 3.4：
Object Request Broker / 3.4.1：
Object Adapter / 3.4.2：
Interface Definition Language / 3.4.3：
Interface Repository / 3.4.4：
Dynamic Invocation Interface / 3.4.5：
Dynamic Skeleton Interface / 3.4.6：
Implementation Repository / 3.4.7：
Procedural Steps in Developing a CORBA-Based Application / 3.5：
Remote Invocations / 3.6：
Interoperability in the CORBA Standard / 3.7：
Protocols Defined by CORBA / 3.7.1：
Interoperable Object Reference / 3.7.2：
Introduction to the Interface Definition Language / 4：
Lexical Elements of IDL / 4.1：
Comments / 4.1.1：
Identifiers / 4.1.2：
Excursion: Style Guidelines for IDL Identifiers / 4.1.2.1：
Excursion: Additional Formatting Rules / 4.1.2.2：
Keywords / 4.1.3：
Punctuation Characters / 4.1.4：
Preprocessor Directives / 4.1.5：
Syntax Notation / 4.1.6：
IDL Types / 4.2：
Basic Types / 4.2.1：
Constructed Types / 4.2.2：
Structures / 4.2.2.1：
Enumerations / 4.2.2.2：
Unions / 4.2.2.3：
Excursion: Named Data Types / 4.2.3：
Template Types / 4.2.4：
Fixed Types / 4.2.4.1：
String Types / 4.2.4.2：
Sequences / 4.2.4.3：
Arrays / 4.2.5：
Native Types / 4.2.6：
Interfaces / 4.2.7：
Value Types / 4.2.8：
IDL Constants / 4.3：
Literal Constants / 4.3.1：
Integer Literals / 4.3.1.1：
Floating-point Literals / 4.3.1.2：
Fixed-point Literals / 4.3.1.3：
Character Literals / 4.3.1.4：
String Literals / 4.3.1.5：
Boolean Literals / 4.3.1.6：
Declaration of Symbolic Constants / 4.3.2：
Operators / 4.3.2.1：
Exceptions / 4.4：
Interface Declarations / 4.5：
Attribute Declarations / 4.5.1：
Operation Declarations / 4.5.2：
Module Declarations / 4.6：
Scoping / 4.8：
Concluding Remarks / 4.9：
Interoperability / 4.9.1：
Using Anonymous Types / 4.9.2：
Exercises / 4.10：
IDL to Java Mapping / 5：
Introductory Remarks / 5.1：
Names / 5.2：
Mapping for Basic Data Types / 5.3：
Holder Classes / 5.4：
Helper Classes / 5.5：
Mapping for Modules / 5.6：
Mapping for Constants / 5.7：
Mapping for typedefs / 5.8：
Mapping for structs / 5.9：
Mapping for enums / 5.10：
Mapping for Sequences / 5.11：
Mapping for Arrays / 5.12：
Mapping for Exceptions / 5.13：
Mapping for Interfaces / 5.14：
Regular IDL Interfaces / 5.14.1：
Local IDL Interfaces / 5.14.2：
Abstract IDL Interfaces / 5.14.3：
Mapping for Value Types / 5.15：
Regular Value Types / 5.15.1：
Abstract Value Types / 5.15.2：
Boxed Value Types / 5.15.3：
Mapping for anys / 5.16：
Mapping for in, inout, and out Parameters / 5.17：
Mapping for Attributes / 5.18：
Mapping for Operations / 5.19：
Important Elements of the ORB Runtime / 5.20：
Initializing a CORBA Application / 6.1：
Operation ORB_init() / 6.1.1：
Pseudo Interface CORBA::ORB / 6.2：
Operation list_initial_services () / 6.2.1：
Operation resolve_initial_references () / 6.2.2：
Operations object_to_string () and string_to_object () / 6.2.3：
Thread-Related ORB Operations / 6.2.4：
Java Mapping of Pseudo Interface CORBA::ORB / 6.2.5：
Portable Object Adapter / 6.3：
POA Policies / 6.3.1：
Overview on POA Functionality / 6.3.2：
POA Manager / 6.3.3：
Servant Activators / 6.3.4：
Servant Locators / 6.3.5：
Java Mapping of Interface POA / 6.3.6：
Pseudo Interface CORBA::Object / 6.4：
IDL Operations of CORBA::Object / 6.4.1：
Java Mapping of Pseudo Interface CORBA::Object / 6.4.2：
Pseudo Interface CORBA::TypeCode / 6.5：
Pseudo Interface CORBA::NamedValue / 6.6：
Pseudo Interface CORBA::NVList / 6.6.2：
Pseudo Interface CORBA::Request / 6.6.3：
ORB Operations for the Dynamic Invocation Interface / 6.6.4：
Object Operations for the Dynamic Invocation Interface / 6.6.5：
Java Mapping of DII-related Pseudo Interfaces and Operations / 6.6.6：
Pseudo Interface CORBA::ServerRequest / 6.7：
Java Mapping of the DSI / 6.7.2：
Java Class Servant / 6.8：
A First Example / 6.9：
JDK's IDL Compiler / 7.1：
JacORB's IDL Compiler / 7.2：
OpenORB's IDL Compiler / 7.3：
Recommended File Organization / 7.4：
Implementing Counter Using the Inheritance Approach / 7.5：
Implementing the Server Application for the Inheritance Approach / 7.6：
Compiling the Server Application / 7.7：
Implementing the Client Application / 7.8：
Compiling the Client Application / 7.9：
Running the Application / 7.10：
Implementing Counter Using the Delegation Approach / 7.11：
Implementing the Server Application for the Delegation Approach / 7.12：
A GUI for the Client Application / 7.13：
Using Different ORBs / 7.14：
Modules / 7.15：
Generating Remote Objects / 7.16：
Implementing the CounterFactory Servant / 8.1：
Implementing the CounterFactory Server / 8.2：
Implementing the CounterFactory Client / 8.3：
Alternatives for Designing IDL Interfaces / 8.4：
Attributes vs. Operations / 9.1：
Returning Results From an Operation / 9.2：
Inheritance and Polymorphism / 9.3：
IDL Definition of DateTimeServer / 10.1：
Implementing the Inheritance Approach / 10.2：
Implementing TimeServer / 10.2.1：
Implementing DateTimeServer / 10.2.2：
Implementing the Server Application / 10.2.3：
Implementing the Example with the Delegation Approach / 10.2.4：
Modifying the Server Application / 10.3.1：
An Example for Polymorphism / 10.4：
Implementing Distributed Callbacks / 10.5：
Defining IDL Interfaces / 11.1：
Implementing the Counter Servant / 11.2：
Implementing the CBCount Server / 11.3：
Implementing the CounterClient Servant / 11.4：
Further Usages of the Callback Technique / 11.5：
Exercise / 11.7：
Utilizing Value Types / 12：
Defining IDL Module PublishSubscribe / 12.1：
Implementing Value Type Filter / 12.2：
Implementing the FilterImpl Class / 12.2.1：
Using Class FilterDefaultFactory / 12.2.2：
Implementing Class PublisherImpl / 12.3：
Implementing Class SubscriberImpl / 12.4：
Utilizing Interfaces of the DynamicAny Module / 12.6：
Usage of Anys and TypeCodes / 13.1：
DynamicAny API / 13.2：
DynAnyFactory Interface / 13.2.1：
DynAny Interface / 13.2.2：
DynFixed Interface / 13.2.3：
DynEnum Interface / 13.2.4：
DynStruct Interface / 13.2.5：
DynUnion Interface / 13.2.6：
DynSequence Interface / 13.2.7：
DynArray Interface / 13.2.8：
DynValueCommon Interface / 13.2.9：
DynValue Interface / 13.2.10：
DynValueBox Interface / 13.2.11：
Usage of the DynamicAny API in Java / 13.3：
Implementing Servant and Server Application / 13.3.1：
Dynamic Counter Client / 13.3.2：
Dynamic TimeServer Clients / 14.2：
TimeServer Version 1 / 14.2.1：
TimeServer Version 2 / 14.2.2：
TimeServer Version 3 / 14.2.3：
TimeServer Version 4 / 14.2.4：
TimeServer Version 5 / 14.2.5：
Deferred Synchronous Invocations / 14.3：
Defining IDL Module Bank / 14.4：
Implementing the Servant / 15.2：
Implementing Different POAs / 15.3：
Counter Example / 16.1：
Implementing ServantLocator / 16.2：
CORBA's Naming Service / 16.3：
Basics / 17.1：
IDL Definition of the Naming Service / 17.2：
Bootstrapping Problem / 17.3：
URL Schemes / 17.3.1：
Standard Command-Line Options / 17.3.2：
Binding and Reslving a Name with the Naming Service / 17.4：
Implementing GUIClient / 17.4.1：
Starting Naming Service, Server, and Client Applications / 17.4.3：
Using the JDK / 17.4.3.1：
Using JacORB / 17.4.3.2：
Using OpenORB / 17.4.3.3：
Utilizing Naming Contexts / 17.5：
Server Implementation Version 1 / 17.5.1：
Server Implementation Version 2 / 17.5.2：
BindingIterators / 17.5.3：
NamingContextExt Interface / 17.7：
An Example Using the NamingContextExt Interface / 17.7.1：
CORBA's Event Service / 17.7.2：
Event Service Basics / 18.1：
IDL Specification of the Event Service / 18.2：
Supplier and Consumer Interfaces / 18.2.1：
The Event Channel's Administration Interface / 18.2.2：
Proxy Interfaces / 18.2.3：
Using OpenORB's Event Service / 18.3：
Setup and Start of OpenORB's Event Service / 18.3.1：
Using OpenORB's ES with JDK's ORB / 18.3.2：
Using OpenORB's ES with JacORB / 18.3.3：
Push-Style Publish-Subscribe Example / 18.4：
IDL Interfaces for the Example / 18.4.1：
Implementing the Event Supplier / 18.4.2：
Implementing the Publisher Application / 18.4.3：
Implementing the Event Consumer / 18.4.4：
Implementing the Subscriber Application / 18.4.5：
IDL Grammar / 18.4.6：
IDL to Java: Mapping of IDL Standard Exceptions / Appendix B：
Naming Service IDL / Appendix C：
Event Service IDL / Appendix D：
ORB Product Installation / Appendix E：
Acronyms
References
Index
Preliminaries / 1：
Organization of the Book / 1.1：
Additional Material / 1.2：
31.

電子ブック
ＥＢ
31. Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Association for Computing Machinery-Digital Library.; ACM Special Interest Group on Data Communication.; ACM Special Interest Group on Operating Systems., Association for Computing Machinery-Digital Library.
出版情報: ACM Digital Library Proceedings , Berkeley CA : USENIX Association, 2005
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32.

コンピュータファイル
コンピュータファイル
32. 1st International Conference on Magnetic Refrigeration at Room Temperature = 1ère Conférence internationale sur le froid magnétique à température ambiante, Montreux, Switzerland, Sept. 28-30, 2005 = Institut International du Froid, Commission B2, A1 with E2
International Institute of Refrigeration, Commission B2, A1 with E2
出版情報: Paris : Institut International du Froid, [2005]  1 CD-ROM ; 12 cm
シリーズ名: Science et technique du froid = Refrigeration science and technology ; 2005-4
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33.

図書
図書
33. Networks of interacting machines : production organization in complex industrial systems and biological cells
editors, Dieter Armbruster, Kunihiko Kaneko, Alexander S. Mikhailov
出版情報: Singapore : World Scientific, c2005  xii, 267 p. ; 24 cm
シリーズ名: World Scientific lecture notes in complex systems ; v. 3
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目次情報: 続きを見る
Preface
Continuum Models for Interacting Machines / Dieter Armbruster ; Pierre Degond ; Christian Ringhofer1：
Introduction / 1.1：
Heuristic Models / 1.2：
Quasistatic Models / 1.2.1：
Advection-Diffusion Equations / 1.2.2：
Policies and Bottlenecks / 1.2.3：
Dispatch Rules / 1.2.3.1：
Bottlenecks and Maximal Capacities / 1.2.3.2：
First Principle Models / 1.3：
Kinetic Models / 1.3.1：
Deterministic Kinetic Models / 1.3.2：
Stochasticity and Diffusion / 1.3.3：
Conclusions / 1.4：
References
Supply and Production Networks: From the Bullwhip Effect to Business Cycles / Dirk Helbing ; Stefan Lammer2：
Input-Output Model of Supply Networks / 2.1：
Adaptation of Production Speeds / 2.2.1：
Modelling Sequential Supply Chains / 2.2.2：
More Detailed Derivation of the Production Dynamics / 2.2.3：
Dynamic Solution and Resonance Effects / 2.2.4：
The Bullwhip Effect / 2.2.5：
Network Effects / 2.3：
General Methods of Solution / 2.3.1：
Examples of Supply Networks / 2.3.2：
Network-Induced Business Cycles / 2.4：
Treating Producers Analogous to Consumers / 2.4.1：
Reproduction of Some Empirically Observed Features of Business Cycles / 2.5：
Dynamic Behaviors and Stability Thresholds / 2.5.1：
Summary / 2.6：
Future Research Directions / 2.7：
Network Engineering / 2.7.1：
Cyclic Dynamics in Biological Systems / 2.7.2：
Heterogeneity in Production Networks / 2.7.3：
Multi-Goal Control / 2.7.4：
Non-Linear Dynamics and Scarcity of Resources / 2.7.5：
Appendix A
Boundary between Damped and Growing Oscillations / 2.8：
Boundary between Damped Oscillations and Overdamped Behavior / 2.9：
Managing Supply-Demand Networks in Semiconductor Manufacturing / Karl Kempf3：
Introduction to Supply-Demand Networks / 3.1：
Examples from the Semiconductor Manufacturing / 3.2：
A Product-Centric Perspective / 3.2.1：
A Facilities-Centric Perspective / 3.2.2：
Repetitive Decisions / 3.2.3：
Combinatorial Complexity / 3.2.4：
Complexity from Supply Stochasticity / 3.2.5：
Complexity from Demand Stochasticity / 3.2.6：
Complexity from Nonlinearity / 3.2.7：
Financial Complexity / 3.2.8：
Managing Supply-Demand Networks / 3.3：
A Capacity Planning Formulation / 3.3.1：
An Inventory Planning Formulation / 3.3.2：
Integrating Capacity and Inventory Planning / 3.3.3：
A Tactical Execution Formulation / 3.3.4：
Simulation Support / 3.3.5：
Modelling Manufacturing Systems for Control: A Validation Study / Erjen Lefeber ; Roel van den Berg ; J.E. Rooda3.4：
Preliminaries / 4.1：
Effective Process Times (EPT's) / 4.3：
Control Framework / 4.4：
Approximation Model / 4.4.1：
Model Predictive Control (MPC) / 4.4.2：
Control Framework (revisited) / 4.4.3：
Modelling Manufacturing Systems / 4.5：
Validation of PDE-Models / 4.6：
Manufacturing Systems / 4.6.1：
PDE-Models / 4.6.2：
Validation Study / 4.6.3：
Concluding Remarks / 4.7：
Adaptive Networks of Production Processes / Adam Ponzi5：
Review of von-Neumann Model / 5.1：
Dynamical Production Model / 5.3：
Model Behaviour / 5.4：
Single Process in Fixed Environment / 5.4.1：
Multiple Timescales / 5.4.2：
Complex Dynamics / 5.4.3：
Network Structure / 5.4.4：
Discussion / 5.5：
Universal Statistics of Cells with Recursive Production / Kunihiko Kaneko ; Chikara Furusawa6：
Question to be Addressed / 6.1：
Logic / 6.2：
Model / 6.3：
Zipf Law / 6.4：
Log-Normal Distribution / 6.5：
Experiment / 6.6：
Confirmation of Zipf Law / 6.6.1：
Confirmation of Laws on Fluctuations / 6.6.1.1：
Intracellular Networks of Interacting Molecular Machines / Alexander S. Mikhailov6.7：
Networks of Protein Machines / 7.1：
Coherent Molecular Dynamics / 7.3：
Mean-Field Approximation / 7.4：
Further Theoretical Developments / 7.5：
Coherence in Cross-Coupled Dynamical Networks / 7.6：
Cell is Noisy / Tatsuo Shibata7.7：
Origin of Molecular Noise / 8.1：
Stochastic Gene Expression / 8.3：
Noise in Single Gene Expression / 8.3.1：
Attenuating Gene Expression Noise by Autoregulation / 8.3.2：
Noisy Signal Amplification in Signal Transduction Reactions / 8.4：
Propagation of Noise in Reaction Networks / 8.5：
Outlook / 8.6：
An Intelligent Slime Mold: A Self-Organizing System of Cell Shape and Information / Tetsuo Ueda9：
The True Slime Molds, Like Nothing on Earth / 9.1：
Cell Motility and Cell Behavior by the Plasmodium / 9.2：
Cell Motility / 9.2.1：
Chemotaxis / 9.2.2：
Sensing and Transduction / 9.2.3：
Search for Second Messengers / 9.2.4：
Integration of Sensed Information in Chemotaxis / 9.3：
A Model for Integration / 9.3.1：
Collective Dynamics of Coupled Oscillators in Cell Behavior / 9.4：
The Response to External Stimulation / 9.4.1：
Alteration of the Judgment by Oscillatory Stimulation through Entrainment / 9.4.2：
Correspondence of Tactic Behavior with Contractility / 9.4.3：
Bifurcation of Dynamic States in the Feeding Behavior by the Placozoan / 9.4.4：
Chemical Oscillations as a Basis for the Rhythmic Contraction / 9.5：
Transition of Chemical Patterns Accompanying the Selection of Cell Behavior / 9.6：
Theory of Cell Behavior in Terms of Dissipative Structure / 9.6.1：
Link to the Organization of Cytoskeleton and Chemical Pattern / 9.6.2：
Computing by Changing Cell Shape / 9.7：
Solving a Maze Problem / 9.7.1：
Solving the Steiner Problem / 9.7.2：
Formation of Veins by External Oscillation / 9.7.3：
Fragmentation of the Plasmodium: Control of Cell Size / 9.8：
Thermo-Fragmentation / 9.8.1：
Photofragmentation and its Photosystem / 9.8.2：
Memory Effects and Morphogen: Phytochrome as Morphogen in the Fragmentation / 9.9：
Locomotion / 9.10：
Allometry in Locomotion Velocity / 9.10.1：
Correlation of Oscillations During Directional Movement / 9.10.2：
The Emergence of the Rhythmic Streaming / 9.11：
Time Order Among Multiple Rhythms in the Plasmodium / 9.12：
Long-Term Changes in Cell Shape of the Plasmodium / 9.12.1：
Multiple Oscillations / 9.12.2：
Concluding Remarks as Future Prospects / 9.13：
Communication and Structure within Networks / Kim Sneppen ; Martin Rosvall ; Ala Trusina10：
An Economy for Exchange of Social Contacts / 10.1：
Limited Information Horizons in Complex Networks / 10.3：
Conclusion / 10.4：
Preface
Continuum Models for Interacting Machines / Dieter Armbruster ; Pierre Degond ; Christian Ringhofer1：
Introduction / 1.1：
34.

学位論文
学位
34. High statistics study of π[+]π[-] resonances below 2 GeV/c[2] in two-photon production at the Belle experiment
by Takashi Mori
出版情報: 東京 : 東京工業大学, 2005
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35.

電子ブック
ＥＢ
35. 24th International Conference on Offshore Mechanics and Arctic Engineering: Volume 2
出版情報: ASME Digital Collection Conference Proceedings , 2005
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36.

電子ブック
ＥＢ
36. 31st Design Automation Conference, Parts A and B; Volume 2
出版情報: ASME Digital Collection Conference Proceedings , 2005
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37.

図書
図書
37. Fundamentals of semiconductors : physics and materials properties. 3rd, rev. and enl. ed., 3rd corrected printing
Peter Y. Yu, Manuel Cardona
出版情報: Berlin : Springer Verlag, 2005, c2001  xviii, 639 p. ; 25 cm
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目次情報: 続きを見る
Introduction / 1：
A Survey of Semiconductors / 1.1：
Elemental Semiconductors / 1.1.1：
Binary Compounds / 1.1.2：
Oxides / 1.1.3：
Layered Semiconductors / 1.1.4：
Organic Semiconductors / 1.1.5：
Magnetic Semiconductors / 1.1.6：
Other Miscellaneous Semiconductors / 1.1.7：
Growth Techniques / 1.2：
Czochralski Method / 1.2.1：
Bridgman Method / 1.2.2：
Chemical Vapor Deposition / 1.2.3：
Molecular Beam Epitaxy / 1.2.4：
Liquid Phase Epitaxy / 1.2.5：
Summary
Electronic Band Structures / 2：
Quantum Mechanics / 2.1：
Translational Symmetry and Brillouin Zones / 2.2：
A Pedestrian's Guide to Group Theory / 2.3：
Definitions and Notations / 2.3.1：
Symmetry Operations of the Diamond and Zinc-Blende Structures / 2.3.2：
Representations and Character Tables / 2.3.3：
Some Applications of Character Tables / 2.3.4：
Empty Lattice or Nearly Free Electron Energy Bands / 2.4：
Nearly Free Electron Band Structure in a Zinc-Blende Crystal / 2.4.1：
Nearly Free Electron Energy Bands in Diamond Crystals / 2.4.2：
Band Structure Calculation by Pseudopotential Methods / 2.5：
Pseudopotential Form Factors in Zinc-Blende- and Diamond-Type Semiconductors / 2.5.1：
Empirical and Self-Consistent Pseudopotential Methods / 2.5.2：
The kċp Method of Band-Structure Calculations / 2.6：
Effective Mass of a Nondegenerate Band Using the kċp Method / 2.6.1：
Band Dispersion near a Degenerate Extremum: Top Valence Bands in Diamondand Zinc-Blende-Type Semiconductors / 2.6.2：
Tight-Binding or LCAO Approach to the Band Structure of Semiconductors / 2.7：
Molecular Orbitals and Overlap Parameters / 2.7.1：
Band Structure of Group-IV Elements by the Tight-Binding Method / 2.7.2：
Overlap Parameters and Nearest-Neighbor Distances / 2.7.3：
Problems
Vibrational Properties of Semiconductors, and Electron-Phonon Interactions / 3：
Phonon Dispersion Curves of Semiconductors / 3.1：
Models for Calculating Phonon Dispersion Curves of Semiconductors / 3.2：
Force Constant Models / 3.2.1：
Shell Model / 3.2.2：
Bond Models / 3.2.3：
Bond Charge Models / 3.2.4：
Electron-Phonon Interactions / 3.3：
Strain Tensor and Deformation Potentials / 3.3.1：
Electron-Acoustic-Phonon Interaction at Degenerate Bands / 3.3.2：
Piezoelectric Electron-Acoustic-Phonon Interaction / 3.3.3：
Electron-Optical-Phonon Deformation Potential Interactions / 3.3.4：
Frohlich Interaction / 3.3.5：
Interaction Between Electrons and Large-Wavevector Phonons: Intervalley Electron-Phonon Interaction / 3.3.6：
Electronic Properties of Defects / 4：
Classification of Defects / 4.1：
Shallow or Hydrogenic Impurities / 4.2：
Effective Mass Approximation / 4.2.1：
Hydrogenic or Shallow Donors / 4.2.2：
Donors Associated with Anisotropic Conduction Bands / 4.2.3：
Acceptor Levels in Diamond-and Zinc-Blende-Type Semiconductors / 4.2.4：
Deep Centers / 4.3：
Green's Function Method for Calculating Defect Energy Levels / 4.3.1：
An Application of the Green's Function Method: Linear Combination of Atomic Orbitals / 4.3.2：
Another Application of the Green's Function Method: Nitrogen in GaP and Ga AsP Alloys / 4.3.3：
Final Note on Deep Centers / 4.3.4：
Electrical Transport / 5：
Quasi-Classical Approach / 5.1：
Carrier Mobility for a Nondegenerate Electron Gas / 5.2：
Relaxation Time Approximation / 5.2.1：
Nondegenerate Electron Gas in a Parabolic Band / 5.2.2：
Dependence of Scattering and Relaxation Times on Electron Energy / 5.2.3：
Momentum Relaxation Times / 5.2.4：
Temperature Dependence of Mobilities / 5.2.5：
Modulation Doping / 5.3：
High-Field Transport and Hot Carrier Effects / 5.4：
Velocity Saturation / 5.4.1：
Negative Differential Resistance / 5.4.2：
Gunn Effect / 5.4.3：
Magneto-Transport and the Hall Effect / 5.5：
Magneto-Conductivity Tensor / 5.5.1：
Hall Effect / 5.5.2：
Hall Coefficient for Thin Film Samples (van der Pauw Method) / 5.5.3：
Hall Effect for a Distribution of Electron Energies / 5.5.4：
Optical Properties I / 6：
Macroscopic Electrodynamics / 6.1：
Digression: Units for the Frequency of Electromagnetic Waves / 6.1.1：
Experimental Determination of Optical Constants / 6.1.2：
Kramers-Kronig Relations / 6.1.3：
The Dielectric Function / 6.2：
Experimental Results / 6.2.1：
Microscopic Theory of the Dielectric Function / 6.2.2：
Joint Density of States and Van Hove Singularities / 6.2.3：
Van Hove Singularities in ϵi / 6.2.4：
Direct Absorption Edges / 6.2.5：
Indirect Absorption Edges / 6.2.6：
""""Forbidden"""" Direct Absorption Edges / 6.2.7：
Excitons / 6.3：
Exciton Effect at M0 Critical Points / 6.3.1：
Absorption Spectra of Excitons / 6.3.2：
Exciton Effect at M1 Critical Points or Hyperbolic Excitons / 6.3.3：
Exciton Effect at M3 Critical Points / 6.3.4：
Phonon-Polaritons and Lattice Absorption / 6.4：
Phonon-Polaritons / 6.4.1：
Lattice Absorption and Reflection / 6.4.2：
Multiphonon Lattice Absorption / 6.4.3：
Dynamic Effective Ionic Charges in Heteropolar Semiconductors / 6.4.4：
Absorption Associated with Extrinsic Electrons / 6.5：
Free-Carrier Absorption in Doped Semiconductors / 6.5.1：
Absorption by Carriers Bound to Shallow Donors and Acceptors / 6.5.2：
Modulation Spectroscopy / 6.6：
Frequency Modulated Reflectance and Thermoreflectance / 6.6.3：
Piezoreflectance / 6.6.4：
Electroreflectance (Franz-Keldysh Effect) / 6.6.5：
Photoreflectance / 6.6.6：
Reflectance Difference Spectroscopy / 6.6.7：
Optical Properties II / 7：
Emission Spectroscopies / 7.1：
Band-to-Band Transitions / 7.1.1：
Free-to-Bound Transitions / 7.1.2：
Donor-Acceptor Pair Transitions / 7.1.3：
Excitons and Bound Excitons / 7.1.4：
Luminescence Excitation Spectroscopy / 7.1.5：
Light Scattering Spectroscopies / 7.2：
Macroscopic Theory of Inelastic Light Scattering by Phonons / 7.2.1：
Raman Tensor and Selection Rules / 7.2.2：
Experimental Determination of Raman Spectra / 7.2.3：
Microscopic Theory of Raman Scattering / 7.2.4：
A Detour into the World of Feynman Diagrams / 7.2.5：
Brillouin Scattering / 7.2.6：
Experimental Determination of Brillouin Spectra / 7.2.7：
Resonant Raman and Brillouin Scattering / 7.2.8：
Photoelectron Spectroscopy / 8：
Photoemission / 8.1：
Angle-Integrated Photoelectron Spectra of the Valence Bands / 8.1.1：
Angle-Resolved Photoelectron Spectra of the Valence Bands / 8.1.2：
Core Levels / 8.1.3：
Inverse Photoemission
Surface Effects / 8.2：
Surface States and Surface Reconstruction / 8.3.1：
Surface Energy Bands / 8.3.2：
Fermi Level Pinning and Space Charge Layers / 8.3.3：
Effect of Quantum Confinement on Electrons and Phonons in Semiconductors / 9：
Quantum Confinement and Density of States / 9.1：
Quantum Confinement of Electrons and Holes / 9.2：
Semiconductor Materials for Quantum Wells and Superlattices / 9.2.1：
Classification of Multiple Quantum Wells and Superlattices / 9.2.2：
Confinement of Energy Levels of Electrons and Holes / 9.2.3：
Some Experimental Results / 9.2.4：
Phonons in Superlattices / 9.3：
Phonons in Superlattices: Folded Acoustic and Confined Optic Modes / 9.3.1：
Folded Acoustic Modes: Macroscopic Treatment / 9.3.2：
Confined Optical Modes: Macroscopic Treatment / 9.3.3：
Electrostatic Effects in Polar Crystals: Interface Modes / 9.3.4：
Raman Spectra of Phonons in Semiconductor Superlattices / 9.4：
Raman Scattering by Folded Acoustic Phonons / 9.4.1：
Raman Scattering by Confined Optical Phonons / 9.4.2：
Raman Scattering by Interface Modes / 9.4.3：
Macroscopic Models of Electron-LO Phonon (Fröhlich) Interaction in Multiple Quantum Wells / 9.4.4：
Electrical Transport: Resonant Tunneling / 9.5：
Resonant Tunneling Through a Double-Barrier Quantum Well / 9.5.1：
I-V Characteristics of Resonant Tunneling Devices / 9.5.2：
Quantum Hall Effects in Two-Dimensional Electron Gases / 9.6：
Landau Theory of Diamagnetism in a Three-Dimensional Free Electron Gas / 9.6.1：
Magneto-Conductivity of a Two-Dimensional Electron Gas: Filling Factor / 9.6.2：
The Experiment of von Klitzing, Pepper and Dorda / 9.6.3：
Explanation of the Hall Plateaus in the Integral Quantum Hall Effect / 9.6.4：
Concluding Remarks / 9.7：
Appendix: Pioneers of Semiconductor Physics Remember
Ultra-Pure Germanium: From Applied to Basic Research or an Old Semiconductor Offering New Opportunities / Eugene E. Haller
Two Pseudopotential Methods: Empirical and Ab Initio / Marvin L. Cohen
The Early Stages of Band-Structures Physics and Its Struggles for a Place in the Sun / Conyers Herring
Cyclotron Resonance and Structure of Conduction and Valence Band Edges in Silicon and Germanium / Charles Kittel
Optical Properties of Amorphous Semiconductors and Solar Cells / Jan Tauc
Optical Spectroscopy of Shallow Impurity Centers / Elias Burstein
On the Prehistory of Angular Resolved Photoemission / Neville V. Smith
The Discovery and Very Basics of the Quantum Hall Effect / Klaus von Klitzing
The Birth of the Semiconductor Superlattice / Leo Esaki
References
Subject Index
Table of Fundamental Physical Constants (Inside Front Cover)
Table of Units (Inside Back Cover)
Introduction / 1：
A Survey of Semiconductors / 1.1：
Elemental Semiconductors / 1.1.1：
38.

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38. 2005 The 2nd IEE/EURASIP Conference on DSPenabledRadio (Ref. No. 2005/11086)
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40. 2005 2nd International Symposium on Wireless Communication Systems
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41. IEEE International Conference on Group IV Photonics, 2005. 2nd
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44. 2005 2nd Asia Pacific Conference on Mobile Technology, Applications and Systems
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45.

図書
図書
45. Radiogenic isotope geology. 2nd ed (: pbk)
Alan P. Dickin
出版情報: Cambridge : Cambridge University Press, 2005  xvi, 492 p. ; 25 cm
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目次情報: 続きを見る
Preface
Nucleosynthesis and nuclear decay / 1：
Mass spectrometry / 2：
The Rb-Sr method / 3：
The Sm-Nd method / 4：
Lead isotopes / 5：
Isotope geochemistry of oceanic volcanics / 6：
Isotope geochemistry of continental rocks / 7：
Osmium isotopes / 8：
Lu-Hf and other lithophile isotope systems / 9：
K-Ar and Ar-Ar dating / 10：
Rare gas geochemistry / 11：
U-series dating / 12：
U-series geochemistry of igneous systems / 13：
Cosmogenic nuclides / 14：
Extinct radionuclides / 15：
Fission track dating / 16：
Appendix
Index
Acknowledgements
The chart of the nuclides / 1.1：
Nucleosynthesis / 1.2：
Stellar evolution / 1.2.1：
Stages in the nucleosynthesis of heavy elements / 1.2.2：
Radioactive decay / 1.3：
Isobaric decay / 1.3.1：
Alpha- and heavy-particle decay / 1.3.2：
Nuclear fission and the Oklo natural reactor / 1.3.3：
The law of radioactive decay / 1.4：
Uniformitarianism / 1.4.1：
References
Chemical separation / 2.1：
Rb-Sr / 2.1.1：
Sm-Nd / 2.1.2：
Lu-Hf / 2.1.3：
Lead / 2.1.4：
Ion sources / 2.2：
Thermal ionisation / 2.2.1：
Plasma-source mass spectrometry / 2.2.2：
Mass fractionation / 2.2.3：
Magnetic-sector mass spectrometry / 2.3：
Ion optics / 2.3.1：
Detectors / 2.3.2：
Data collection / 2.3.3：
Isotope dilution / 2.4：
Analysis technique / 2.4.1：
Double spiking / 2.4.2：
Applications of MC-ICP-MS to radiogenic isotopes / 2.5：
Hf-W / 2.5.1：
U-Th / 2.5.2：
Pb-Pb / 2.5.4：
U-Pb / 2.5.5：
Isochron regression-line fitting / 2.5.6：
Types of regression fit / 2.6.1：
Regression fitting with correlated errors / 2.6.2：
Errorchrons / 2.6.3：
Dealing with errorchrons / 2.6.4：
The Rb decay constant / 3.1：
Dating igneous rocks / 3.2：
Sr model ages / 3.2.1：
The isochron diagram / 3.2.2：
Erupted isochrons / 3.2.3：
Meteorite chronology / 3.2.4：
Dating metamorphic rocks / 3.3：
Open mineral systems / 3.3.1：
Blocking temperatures / 3.3.2：
Open whole-rock systems / 3.3.3：
Dating ore deposits / 3.4：
Dating sedimentary rocks / 3.5：
Shales / 3.5.1：
Glauconite / 3.5.2：
Seawater evolution / 3.6：
Measurement of the curve / 3.6.1：
Modelling the fluxes / 3.6.2：
The effects of Himalayan erosion / 3.6.3：
Sm-Nd isochrons / 4.1：
Meteorites / 4.1.1：
Low-grade meta-igneous rocks / 4.1.2：
High-grade metamorphic rocks / 4.1.3：
High-grade metamorphic minerals / 4.1.4：
Nd isotope evolution and model ages / 4.2：
Chondritic model ages / 4.2.1：
Depleted-mantle model ages / 4.2.2：
Model ages and crustal processes / 4.3：
Sedimentary systems / 4.3.1：
Meta-sedimentary systems / 4.3.2：
Meta-igneous systems / 4.3.3：
Partially melted systems / 4.3.4：
The crustal-growth problem / 4.4：
Crustal-accretion ages / 4.4.1：
Sediment-provenance ages / 4.4.2：
Archean depleted mantle / 4.4.3：
Early Archean crustal provinces / 4.4.4：
Nd in the oceans / 4.5：
Modern seawater Nd / 4.5.1：
Ancient seawater Nd / 4.5.2：
Tertiary seawater Nd / 4.5.3：
Quaternary seawater Nd / 4.5.4：
U-Pb isochrons / 5.1：
U-Pb dating of carbonates / 5.1.1：
U-Pb (zircon) dating / 5.2：
Lead-loss models / 5.2.1：
Upper intersection ages / 5.2.2：
Ion-microprobe analysis / 5.2.3：
Lead 207/206 ages / 5.2.4：
Inherited zircon / 5.2.5：
Alternative presentations of U-Pb data / 5.2.6：
Alternative U-Pb dating materials / 5.2.7：
Common (whole-rock) Pb-Pb dating / 5.3：
The geochron / 5.3.1：
Model (galena) ages / 5.4：
The Holmes-Houtermans model / 5.4.1：
Conformable leads / 5.4.2：
Open-system Pb evolution / 5.4.3：
Pb-Pb dating and crustal evolution / 5.5：
Archean crustal evolution / 5.5.1：
Paleo-isochrons and metamorphic disturbance / 5.5.2：
Environmental Pb / 5.6：
Anthropogenic Pb / 5.6.1：
Pb as an oceanographic tracer / 5.6.2：
Paleo-seawater Pb / 5.6.3：
Isotopic tracing of mantle structure / 6.1：
Contamination and alteration / 6.1.1：
Disequilibrium melting / 6.1.2：
Mantle plumes / 6.1.3：
Plum-pudding mantle / 6.1.4：
Marble-cake mantle / 6.1.5：
The Nd-Sr isotope diagram / 6.2：
Box models for MORB sources / 6.2.1：
The mantle array and OIB sources / 6.2.2：
Mantle convection models / 6.2.3：
Pb isotope geochemistry / 6.3：
Pb-Pb isochrons and the lead paradox / 6.3.1：
The development of HIMU / 6.3.2：
The terrestrial Th/U ratio / 6.3.3：
The upper-mantle [mu] value re-examined / 6.3.4：
Mantle reservoirs in isotopic multispace / 6.4：
The mantle plane / 6.4.1：
The mantle tetrahedron / 6.4.2：
Identification of mantle components / 6.5：
HIMU / 6.5.1：
EMII / 6.5.2：
EMI / 6.5.3：
Kinematic models for mantle recycling / 6.5.4：
Depleted OIB sources / 6.5.5：
Island arcs and mantle evolution / 6.6：
Two-component mixing models / 6.6.1：
Three-component mixing models / 6.6.2：
Mantle xenoliths / 7.1：
Mantle metasomatism / 7.1.1：
Crustal contamination / 7.2：
Melting in natural and experimental systems / 7.2.1：
Inversion modelling of magma suites / 7.2.3：
Lithospheric mantle contamination / 7.2.4：
Phenocrysts as records of magma evolution / 7.2.5：
Petrogenesis of continental magmas / 7.3：
Kimberlites, carbonatites and lamproites / 7.3.1：
Alkali basalts / 7.3.2：
Flood basalts / 7.3.3：
Precambrian granitoids / 7.3.4：
Phanerozoic batholiths / 7.3.5：
Osmium analysis / 8.1：
The Re-Os and Pt-Os decay schemes / 8.2：
The Re decay constant / 8.2.1：
Meteorite isochrons / 8.2.2：
Dating ores and rocks / 8.2.3：
Os normalisation and the Pt-Os decay scheme / 8.2.4：
Mantle osmium / 8.3：
Bulk Silicate Earth / 8.3.1：
Lithospheric evolution / 8.3.2：
Primitive upper mantle / 8.3.3：
Enriched plumes / 8.3.4：
Osmium from the core / 8.3.5：
Asthenospheric mantle heterogeneity / 8.3.6：
Petrogenesis and ore genesis / 8.4：
The Bushveld Complex / 8.4.1：
The Stillwater Complex / 8.4.2：
The Sudbury Igneous Complex / 8.4.3：
Flood-basalt provinces / 8.4.4：
Seawater osmium / 8.5：
Seawater Os isotope evolution / 8.5.1：
Os fluxes and residence times / 8.5.2：
Lu-Hf geochronology / 9.1：
The Lu decay constant and the CHUR composition / 9.1.1：
Dating metamorphism / 9.1.2：
Mantle Hf evolution / 9.2：
Hf zircon analysis / 9.2.1：
Archean sediments / 9.2.2：
Western Greenland / 9.2.3：
Mantle depletion and recycling / 9.2.4：
Sediment recycling / 9.2.5：
Seawater hafnium / 9.3：
The La-Ce and La-Ba systems / 9.4：
La-Ba geochronology / 9.4.1：
La-Ce geochronology / 9.4.2：
Ce isotope geochemistry / 9.4.3：
The K-Ca system / 9.5：
The K-Ar dating method / 10.1：
Analytical techniques / 10.1.1：
Inherited argon and the K-Ar isochron diagram / 10.1.2：
Argon loss / 10.1.3：
The [superscript 40]Ar-[superscript 39]Ar dating technique / 10.2：
[superscript 40]Ar-[superscript 39]Ar measurement / 10.2.1：
Irradiation corrections / 10.2.2：
Step heating / 10.2.3：
Argon-loss events / 10.2.4：
Excess argon / 10.2.5：
Dating paleomagnetism: a case study / 10.2.6：
[superscript 39]Ar recoil / 10.2.7：
Dating glauconite and clay minerals / 10.2.8：
Laser-probe dating / 10.3：
Method development / 10.3.1：
Applications of laser-probe dating / 10.3.2：
Timescale calibration / 10.4：
The magnetic-reversal timescale / 10.4.1：
The astronomical timescale / 10.4.2：
Intercalibration of decay constants / 10.4.3：
Thermochronometry / 10.5：
Arrhenius modelling / 10.5.1：
Complex diffusion models / 10.5.2：
K-feldspar thermochronometry / 10.5.3：
Rare-gas geochemistry
Helium / 11.1：
Helium production in nature / 11.1.1：
Terrestrial primordial helium / 11.1.3：
The 'two-reservoir' model / 11.1.4：
Crustal helium / 11.1.5：
Helium and volatiles / 11.1.6：
Helium and interplanetary dust / 11.1.7：
Neon / 11.2：
Neon production / 11.2.1：
Solar neon in the earth / 11.2.2：
Neon and helium / 11.2.3：
Argon / 11.3：
Terrestrial primordial argon / 11.3.1：
Neon-argon / 11.3.2：
Argon-38 / 11.3.3：
Xenon / 11.4：
Iodogenic xenon / 11.4.1：
Fissiogenic xenon / 11.4.2：
Solar xenon / 11.4.3：
Secular equilibrium and disequilibrium / 12.1：
Analytical methods / 12.2：
Daughter-excess methods / 12.2.1：
[superscript 234]U dating of carbonates / 12.3.1：
[superscript 234]U dating of Fe-Mn crusts / 12.3.2：
[superscript 230]Th sediment dating / 12.3.3：
[superscript 230]Th-[superscript 232]Th / 12.3.4：
[superscript 230]Th sediment stratigraphy / 12.3.5：
[superscript 231]Pa-[superscript 230]Th / 12.3.6：
[superscript 210]Pb / 12.3.7：
Daughter-deficiency methods / 12.4：
[superscript 230]Th: theory / 12.4.1：
[superscript 230]Th: applications / 12.4.2：
[superscript 230]Th: dirty calcite / 12.4.3：
[superscript 231]Pa / 12.4.4：
U-series dating of open systems / 12.5：
ESR-[superscript 230]Th / 12.5.1：
Geochronology of volcanic rocks / 13.1：
The U-Th isochron diagram / 13.1.1：
Ra-Th isochron diagrams / 13.1.2：
U-series model age dating / 13.1.3：
Magma-chamber evolution / 13.2：
The Th isotope evolution diagram / 13.2.1：
Short-lived species in magma evolution / 13.2.2：
Mantle-melting models / 13.3：
Melting under ocean ridges / 13.3.1：
The effect of source convection / 13.3.2：
The effect of melting depth / 13.3.3：
The effect of source composition / 13.3.4：
Evidence from short-lived species / 13.3.5：
Evidence for mantle upwelling rates / 13.3.6：
Evidence from Th-Sr and Th-U mantle arrays / 13.3.7：
Evidence for crustal melting and contamination / 13.3.8：
Sources of continental magmas / 13.3.9：
Subduction-zone processes / 13.4：
U-Th evidence / 13.4.1：
Ra-Th evidence / 13.4.2：
Carbon-14 / 14.1：
[superscript 14]C measurement by counting / 14.1.1：
The closed-system assumption / 14.1.2：
The initial-ratio assumption / 14.1.3：
Dendrochronology / 14.1.4：
Production and climatic effects / 14.1.5：
Radiocarbon in the oceans / 14.1.6：
The 'Ocean Conveyor Belt' / 14.1.7：
Accelerator mass spectrometry / 14.2：
Radiocarbon dating by AMS / 14.2.1：
Beryllium-10 / 14.3：
[superscript 10]Be in the atmosphere / 14.3.1：
[superscript 10]Be in soil profiles / 14.3.2：
[superscript 10]Be in snow and ice / 14.3.3：
[superscript 10]Be in the oceans / 14.3.4：
Comparison of [superscript 10]Be with other tracers / 14.3.5：
[superscript 10]Be in magmatic systems / 14.3.6：
Chlorine-36 / 14.4：
Iodine-129 / 14.5：
In situ cosmogenic isotopes / 14.6：
Al-26 meteorite exposure ages / 14.6.1：
Al-Be terrestrial exposure ages / 14.6.2：
Chlorine-36 exposure ages / 14.6.3：
Production and decay / 15.1：
Extant actinides / 15.2：
Xenon isotopes / 15.3：
I-Xe / 15.3.1：
Pu-Xe / 15.3.2：
I-Xe chronology / 15.3.3：
Very-short-lived species / 15.4：
Al-Mg / 15.4.1：
Ca-K / 15.4.2：
Be-10 / 15.4.3：
Short-lived species in planetary differentiation / 15.5：
Pd-Ag / 15.5.1：
Mn-Cr / 15.5.2：
Fe-Ni / 15.5.3：
[superscript 146]Sm-[superscript 142]Nd / 15.5.4：
Absent species / 15.6：
Cm-U / 15.6.1：
Conclusions / 15.7：
Fission-track dating
Track formation / 16.1：
Track etching / 16.2：
Counting techniques / 16.3：
The population method / 16.3.1：
The external-detector method / 16.3.2：
Re-etching and re-polishing / 16.3.3：
Detrital populations / 16.4：
Track annealing / 16.5：
Uplift and subsidence rates / 16.6：
Track-length measurements / 16.7：
Projected tracks / 16.7.1：
Confined tracks / 16.7.2：
Pressure effects / 16.8：
Preface
Nucleosynthesis and nuclear decay / 1：
Mass spectrometry / 2：
46.

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ＥＢ
46. Intelligent Document Retrieval
Udo Kruschwitz
出版情報: Springer eBooks Computer Science , Springer Netherlands, 2005
所蔵情報: loading…
目次情報: 続きを見る
Foreword
Preface
List of Figures
List of Tables
Introduction / 1：
Introductory Examples / 1.1：
Using Markup to Extract Knowledge / 1.2：
Applying the Extracted knowledge / 1.3：
Structure of the Book / 1.4：
The Model / Part I：
Related Work / 2：
Information Retrieval / 2.1：
Information Extraction / 2.2：
Clustering / 2.3：
Classification / 2.4：
Web Search Techniques / 2.5：
Ontologies / 2.6：
Layout Analysis / 2.7：
Web Search Studies / 2.8：
Navigating Concept Hierarchies / 2.9：
Dialogue Systems / 2.10：
Usability Issues / 2.11：
Concluding Remarks on Related Work / 2.12：
Data Analysis and Domain Model Construction / 3：
Documents / 3.1：
Concepts / 3.2：
A Domain Model Based on Concepts / 3.3：
Model Structure / 3.4：
Model Construction / 3.5：
Using the Model for Query Modification / 3.6：
Implementational Issues / 3.7：
Incorporating Additional Knowledge / 4：
Internal Knowledge / 4.1：
External Knowledge / 4.2：
A Dialogue System for Partially Structured Data / 5：
Dialogue as Movement in Space / 5.1：
Dialogue Example / 5.2：
Static vs. Dynamic Clusters / 5.3：
Real User Queries / 5.4：
Properties / 5.5：
Document Properties / 5.5.1：
System Properties / 5.5.2：
Goal Description / 5.5.3：
Dialogue / 5.6：
High Level Dialogue States / 5.6.1：
Low Level Dialogue States / 5.6.2：
Constructing Potential Choices / 5.6.3：
Dialogue Strategies / 5.6.4：
Customization / 5.6.5：
Practical Applications / Part II：
UKSearch - Intelligent Web Search / 6：
Indexing Web Pages / 6.1：
The UKSearch System / 6.2：
Indexing and Model Construction / 6.2.1：
Dialogue Strategy / 6.2.2：
Sample Domain 1: Essex University / 6.3：
Index Tables / 6.3.1：
Domain Model / 6.3.2：
Concepts it vs. Real User Queries / 6.3.3：
Sample Domain 2: BBC News / 6.4：
Adjusted Dialogue Strategy / 6.4.1：
UKSearch - Evaluation and Discussion / 6.5：
Log Analysis / 7.1：
System Setup / 7.1.1：
Results / 7.1.2：
Discussion / 7.1.3：
Investigating Domain Model Relations / 7.2：
Task and Setup / 7.2.1：
Task-Based Evaluation: Essex University / 7.2.2：
Search Tasks / 7.3.1：
Experimental Setup / 7.3.2：
Procedure / 7.3.3：
Task-Based Evaluation: BBC News / 7.3.4：
Experimental Setup and Procedure / 7.4.1：
YPA - Searching Classified Directories / 7.4.3：
System Overview / 8.1：
Indexing Classified Advertisements / 8.2：
Structure of the Backend / 8.2.1：
Domain Model Construction / 8.2.2：
Dialogue Strategy in the YPA / 8.3：
Dialogue Setup / 8.3.1：
Dialogue Function / 8.3.3：
Calculation of Potential Choices / 8.3.4：
Future Directions and Conclusions / 8.4：
Towards Evolving Domain Models / 9.1：
Dialogue Management / 9.2：
An Outlook on Future Evaluations / 9.3：
Conclusions / 9.4：
References
Index
Foreword
Preface
List of Figures
47.

図書
図書
47. Chern-Simons theory, matrix models and topological strings (: hbk)
Marcos Mariño
出版情報: Oxford : Clarendon Press , Oxford ; New York : Oxford University Press, 2005  xii, 197 p. ; 24 cm
シリーズ名: The international series of monographs on physics ; 131
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Matrix Models, Chern-Simons Theory, and the Large N Expansion / I：
Matrix models / 1：
Basics of matrix models / 1.1：
Matrix model technology I: saddle-point analysis / 1.2：
Matrix model technology II: orthogonal polynomials / 1.3：
Chern-Simons theory and knot invariants / 2：
Chern-Simons theory: basic ingredients / 2.1：
Perturbative approach / 2.2：
Perturbative structure of the partition function / 2.2.1：
Group factors / 2.2.2：
Canonical quantization and surgery / 2.3：
Framing dependence / 2.4：
Results on Wilson loops and knot invariants / 2.5：
General properties / 2.5.1：
Torus knots / 2.5.2：
U([infinity]) representation theory / 2.6：
The 1/N expansion in Chern-Simons theory / 2.7：
Chern-Simons theory as a matrix model / 2.8：
Topological Strings / II：
Topological sigma models / 3：
The N = 2 supersymmetric sigma model / 3.1：
Topological twist / 3.2：
The topological type-A model / 3.3：
The topological type-B model / 3.4：
Topological strings / 4：
Coupling to gravity / 4.1：
Relation to compactifications of type II string theory / 4.2：
The type-A topological string / 4.3：
Mathematical description / 4.3.1：
Integrality properties and Gopakumar-Vafa invariants / 4.3.2：
Open topological strings / 4.4：
Type A model / 4.4.1：
Type-B model / 4.4.2：
Calabi-Yau geometries / 5：
Non-compact Calabi-Yau geometries: an introduction / 5.1：
Constructing toric Calabi-Yau manifolds / 5.2：
C[superscript 3] / 5.2.1：
The general case / 5.2.2：
The conifold transition / 5.3：
Examples of closed string amplitudes / 5.4：
The Topological String/Gauge Theory Correspondence / III：
String theory and gauge theory / 6：
String field theory and gauge theories / 7：
Open string field theory / 7.1：
Chern-Simons theory as an open string theory / 7.2：
Open topological strings on T* M / 7.2.1：
More general Calabi-Yau manifolds / 7.2.2：
Matrix model as an open string theory / 7.3：
Holomorphic Chern-Simons theory / 7.3.1：
Type B topological strings and matrix models / 7.3.2：
Open string amplitudes and multicut solutions / 7.3.3：
Geometric transitions / 8：
The conifold transition and the large N duality / 8.1：
Incorporating Wilson loops / 8.2：
Geometric transitions for more general toric manifolds / 8.3：
Matrix models and geometric transitions / 8.4：
The topological vertex / 9：
Framing of topological open string amplitudes / 9.1：
Definition of the topological vertex / 9.2：
Gluing rules / 9.3：
Derivation of the topological vertex / 9.4：
Useful formulae for the vertex / 9.5：
Some applications / 9.6：
Further properties of the topological vertex / 9.7：
Applications of the topological string/gauge theory correspondence / 10：
Applications to knot invariants / 10.1：
Applications to N = 2 supersymmetric gauge theory / 10.2：
Symmetric polynomials / A：
References
Index
Matrix Models, Chern-Simons Theory, and the Large N Expansion / I：
Matrix models / 1：
Basics of matrix models / 1.1：
48.

電子ブック
ＥＢ
48. Intelligent Document Retrieval
Udo Kruschwitz
出版情報: SpringerLink Books - AutoHoldings , Springer Netherlands, 2005
所蔵情報: loading…
目次情報: 続きを見る
Foreword
Preface
List of Figures
List of Tables
Introduction / 1：
Introductory Examples / 1.1：
Using Markup to Extract Knowledge / 1.2：
Applying the Extracted knowledge / 1.3：
Structure of the Book / 1.4：
The Model / Part I：
Related Work / 2：
Information Retrieval / 2.1：
Information Extraction / 2.2：
Clustering / 2.3：
Classification / 2.4：
Web Search Techniques / 2.5：
Ontologies / 2.6：
Layout Analysis / 2.7：
Web Search Studies / 2.8：
Navigating Concept Hierarchies / 2.9：
Dialogue Systems / 2.10：
Usability Issues / 2.11：
Concluding Remarks on Related Work / 2.12：
Data Analysis and Domain Model Construction / 3：
Documents / 3.1：
Concepts / 3.2：
A Domain Model Based on Concepts / 3.3：
Model Structure / 3.4：
Model Construction / 3.5：
Using the Model for Query Modification / 3.6：
Implementational Issues / 3.7：
Incorporating Additional Knowledge / 4：
Internal Knowledge / 4.1：
External Knowledge / 4.2：
A Dialogue System for Partially Structured Data / 5：
Dialogue as Movement in Space / 5.1：
Dialogue Example / 5.2：
Static vs. Dynamic Clusters / 5.3：
Real User Queries / 5.4：
Properties / 5.5：
Document Properties / 5.5.1：
System Properties / 5.5.2：
Goal Description / 5.5.3：
Dialogue / 5.6：
High Level Dialogue States / 5.6.1：
Low Level Dialogue States / 5.6.2：
Constructing Potential Choices / 5.6.3：
Dialogue Strategies / 5.6.4：
Customization / 5.6.5：
Practical Applications / Part II：
UKSearch - Intelligent Web Search / 6：
Indexing Web Pages / 6.1：
The UKSearch System / 6.2：
Indexing and Model Construction / 6.2.1：
Dialogue Strategy / 6.2.2：
Sample Domain 1: Essex University / 6.3：
Index Tables / 6.3.1：
Domain Model / 6.3.2：
Concepts it vs. Real User Queries / 6.3.3：
Sample Domain 2: BBC News / 6.4：
Adjusted Dialogue Strategy / 6.4.1：
UKSearch - Evaluation and Discussion / 6.5：
Log Analysis / 7.1：
System Setup / 7.1.1：
Results / 7.1.2：
Discussion / 7.1.3：
Investigating Domain Model Relations / 7.2：
Task and Setup / 7.2.1：
Task-Based Evaluation: Essex University / 7.2.2：
Search Tasks / 7.3.1：
Experimental Setup / 7.3.2：
Procedure / 7.3.3：
Task-Based Evaluation: BBC News / 7.3.4：
Experimental Setup and Procedure / 7.4.1：
YPA - Searching Classified Directories / 7.4.3：
System Overview / 8.1：
Indexing Classified Advertisements / 8.2：
Structure of the Backend / 8.2.1：
Domain Model Construction / 8.2.2：
Dialogue Strategy in the YPA / 8.3：
Dialogue Setup / 8.3.1：
Dialogue Function / 8.3.3：
Calculation of Potential Choices / 8.3.4：
Future Directions and Conclusions / 8.4：
Towards Evolving Domain Models / 9.1：
Dialogue Management / 9.2：
An Outlook on Future Evaluations / 9.3：
Conclusions / 9.4：
References
Index
Foreword
Preface
List of Figures
49.

図書
図書
49. MIPPR 2005 : Geospatial information, data mining, and applications : 31 October-2 November 2005, Wuhan, China (pt. 1 ; pt. 2)
Jianya Gong ... [et al.], chairs/editors ; sponsored by LIESMARS--State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (China), Wuhan University (China), cosponsored and published by SPIE--the International Society for Optical Engineering
出版情報: Bellingham, Wash. : SPIE, c2005  2 v. ; 28 cm
シリーズ名: Proceedings / SPIE -- the International Society for Optical Engineering ; v. 6045
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50.

学位論文
学位
50. Design, synthesis and magnetic properties of quasi-one-dimensional oxides containing Cu[2+] and/or Co[2+] ions
by Zhangzhen He
出版情報: 東京 : 東京工業大学, 2005
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