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1.

電子ブック
ＥＢ
1. A Tiny Handbook of R
Mike Allerhand
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
所蔵情報: loading…
目次情報: 続きを見る
Introduction to R / 1：
Why Command Lines and Scripts? / 1.1：
The R Console / 1.1.1：
Variables / 1.1.2：
Functions / 1.1.3：
Finding Functions and Getting Help / 1.2：
Libraries / 1.2.1：
Packages / 1.2.2：
Finding Functions / 1.2.3：
Getting Help / 1.2.4：
R Projects / 1.3：
Saving Your Session / 1.3.1：
Scripts / 1.3.2：
Data Structures / 2：
Vectors, Matrices, and Arrays / 2.1：
Data Frames and Lists / 2.1.2：
Creating Data / 2.1.3：
Sampling Data / 2.1.4：
Reading Data / 2.1.5：
Operations on Vectors and Matrices / 2.2：
Arithmetic Functions / 2.2.1：
Descriptive Functions / 2.2.2：
Operators and Expressions / 2.2.3：
Factors / 2.3：
Making Factors / 2.3.1：
Operations on Factors / 2.3.2：
Re-ordering and Re-labelling / 2.3.3：
Indexing / 2.4：
Indexing by Name / 2.4.1：
Indexing by Number / 2.4.2：
Inserting and Deleting Rows or Columns / 2.4.3：
Indexing with Factors / 2.4.4：
Conditional Indexing / 2.4.5：
Sorting / 2.4.6：
Reshaping / 2.5：
Stacking and Unstacking? / 2.5.1：
Reshaping: Wide and Long / 2.5.2：
Merging / 2.5.3：
Missing Values / 2.6：
Recoding Missing Values / 2.6.1：
Operations with Missing Values / 2.6.2：
Counting and Sorting Missing Values / 2.6.3：
Handling Missing Values / 2.6.4：
Mapping Functions / 2.7：
Repeated Evaluation / 2.7.1：
Applying Functions / 2.7.2：
Writing Functions / 2.8：
Anonymous Functions / 2.8.1：
Optional Arguments / 2.8.2：
Tables and Graphs / 3：
Tables / 3.1：
Frequency Tables / 3.1.1：
Tables of Cell Means and Other Summaries / 3.1.2：
Saving Tables / 3.1.3：
Graphs / 3.2：
Base Graphics / 3.2.1：
Lattice Graphics / 3.2.2：
Multiple Plot Layout / 3.2.3：
Saving Graphics / 3.2.4：
Hypothesis Tests / 4：
Probability Distributions / 4.1：
How to Run a t test / 4.2：
Linear Models / 5：
Model Formulas / 5.1：
Formula and Data Frame / 5.1.1：
Updating Model Fits / 5.1.2：
General Linear Models / 5.2：
Regression Diagnostics / 5.2.1：
Testing the Regression Coefficients / 5.2.2：
Prediction / 5.2.3：
Stepwise Regression / 5.2.4：
Extracting Information from the Fit Object / 5.2.5：
Residualizing / 5.2.6：
ANOVA / 5.3：
ANOVA Tables / 5.3.1：
Comparisons / 5.3.2：
Learning R / 5.4：
Index
Introduction to R / 1：
Why Command Lines and Scripts? / 1.1：
The R Console / 1.1.1：
2.

電子ブック
ＥＢ
2. E-Librarian Service
Serge Linckels, Christoph Meinel
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
所蔵情報: loading…
目次情報: 続きを見る
Introduction to E-Librarian Services / 1：
From Ancient to Digital Libraries / 1.1：
From Searching to Finding / 1.2：
Searching the Web / 1.2.1：
Searching Multimedia Knowledge Bases / 1.2.2：
Exploratory Search / 1.2.3：
E-Librarian Services / 1.3：
Overview / 1.3.1：
Early Question-Answering Systems / 1.3.2：
Natural Language Interface / 1.3.3：
No Library without a Librarian / 1.3.4：
Characteristics of an E-Librarian Service / 1.3.5：
Overview and Organization of the Book / 1.4：
Key Technologies of E-Librarian Services / Part I：
Semantic Web and Ontologies / 2：
What is the Semantic Web? / 2.1：
The Vision of the Semantic Web / 2.1.1：
Semantic Web vs. Web N.O / 2.1.2：
Three Principles Ruling the Semantic Web / 2.1.3：
Architecture / 2.1.4：
Ontologies / 2.2：
Ontology Structure / 2.2.1：
Upper and Domain Ontologies / 2.2.2：
Linked Data / 2.2.3：
Expressivity of Ontologies / 2.2.4：
XML Extensible Markup Language / 2.3：
XML: Elements, Attributes and Values / 2.3.1：
Namespaces and Qualified Names / 2.3.2：
XML Schema / 2.3.3：
Complete Example / 2.3.4：
Limitations of XML / 2.3.5：
RDF-Resource Description Framework / 2.4：
RDF Triples and Serialization / 2.4.1：
RDF Schema / 2.4.2：
Limitations of RDF / 2.4.3：
Owl 1 and Owl 2 - Web Ontology Language / 2.5：
Instances, Classes and Restrictions in Owl / 2.5.1：
From Owl 1 to Owl 2 / 2.5.2：
Sparql, the Query Language / 2.5.4：
Description Logics and Reasoning / 3：
DL- Description Logics / 3.1：
Concept Descriptions / 3.1.1：
DL Languages / 3.1.2：
Equivalences between OWL and DL / 3.1.3：
DL Knowledge Base / 3.2：
Terminologies (TBox) / 3.2.1：
World Descriptions (ABox) / 3.2.2：
Interpretations / 3.3：
Interpreting Individuals, Concepts, and Roles / 3.3.1：
Modeling the Real World / 3.3.2：
Inferences / 3.4：
Standard Inferences / 3.4.1：
Non-Standard Inferences / 3.4.2：
Natural Language Processing / 4：
Overview and Challenges / 4.1：
Syntax, Semantics and Pragmatics / 4.1.1：
Difficulties of NLP / 4.1.2：
Zipf's law / 4.1.3：
Dealing with Single Words / 4.2：
Tokenization and Tagging / 4.2.1：
Morphology / 4.2.2：
Building Words over an Alphabet / 4.2.3：
Operations over Words / 4.2.4：
Semantic Knowledge Sources / 4.3：
Semantic relations / 4.3.1：
Semantic resources / 4.3.2：
Dealing with Sentences / 4.4：
Phrase Types / 4.4.1：
Phrase Structure / 4.4.2：
Grammar / 4.4.3：
Formal languages / 4.4.4：
Phrase structure ambiguities / 4.4.5：
Alternative parsing techniques / 4.4.6：
Multi-Language / 4.5：
Semantic Interpretation / 4.6：
Information Retrieval / 5：
Retrieval Process / 5.1：
Document Indexation and Weighting / 5.2：
Index of terms / 5.2.1：
Weighting / 5.2.2：
Retrieval Models / 5.3：
Boolean Model / 5.3.1：
Vector Model / 5.3.2：
Probabilistic Model / 5.3.3：
Page Rank / 5.3.4：
Semantic Distance / 5.3.5：
Other Models / 5.3.6：
Retrieval Evaluation / 5.4：
Precision, Recall, and Accuracy / 5.4.1：
Design and Utilization of E-Librarian Services / Part II：
Ontological Approach / 6：
Expert Systems / 6.1：
Classical Expert Systems / 6.1.1：
Ontology-Driven Expert Systems / 6.1.2：
Towards an E-Librarian Service / 6.2：
Reasoning Capabilities of an E-Librarian Service / 6.2.1：
Deploying an Ontology / 6.2.2：
Designing the Ontological Background / 6.2.3：
Semantic Annotation of the Knowledge Base / 6.3：
Computer-Assisted Creation of metadata / 6.3.1：
Automatic Generation of metadata / 6.3.2：
Design of the Natural Language Processing Module / 7：
Overview of the Semantic Interpretation / 7.1：
Logical Form / 7.1.1：
Processing of a User Question / 7.1.2：
NLP Pre-Processing / 7.2：
Domain Language / 7.2.1：
Lemmatization / 7.2.2：
Handling Spelling Errors / 7.2.3：
Ontology Mapping / 7.3：
Domain Dictionary / 7.3.1：
Mapping of Words / 7.3.2：
Resolving Ambiguities / 7.3.3：
Generation of a DL-Concept Description / 7.4：
Without Syntactic Analysis / 7.4.1：
With Syntactic Analysis / 7.4.2：
How much NLP is Sufficient? / 7.4.3：
Optimization and Normal Form / 7.4.4：
General Limitations and Constraints / 7.5：
Role Quantifiers / 7.5.1：
Conjunction and Disjunction / 7.5.2：
Negation / 7.5.3：
Open-Ended and Closed-Ended Questions / 7.5.4：
Formulations / 7.5.5：
Others / 7.5.6：
Multiple-Language Feature / 7.6：
Designing the Multimedia Information Retrieval Module / 8：
Overview of the MIR Module / 8.1：
Knowledge Base and metadata / 8.1.1：
Retrieval Principle / 8.1.2：
The Concept Covering Problem / 8.1.3：
Identifying Covers / 8.2：
Computing the Best Covers / 8.3：
Miss and Rest / 8.3.1：
Size of a Concept Description / 8.3.2：
Best Covers / 8.3.3：
Ranking / 8.4：
Algorithm for the Retrieval Problem / 8.5：
User Feedback / 8.6：
Direct User Feedback / 8.6.1：
Collaborative Tagging and Social Networks / 8.6.2：
Diversification of User Feedback / 8.6.3：
Implementation / 9：
Knowledge Layer / 9.1：
Inference Layer / 9.1.2：
Communication Layer / 9.1.3：
Presentation Layer / 9.1.4：
Development Details / 9.2：
Processing Owl and DL in Java / 9.2.1：
Client Front-End with Ajax Autocompleter / 9.2.2：
The Soap Web Service Interface / 9.2.3：
Applications / Part III：
Best practices / 10：
Computer History Expert System (CHESt) / 10.1：
Description / 10.1.1：
Experiment / 10.1.2：
Mathematics Expert System (MatES) / 10.2：
Benchmark Test / 10.2.1：
The Lecture Butler's E-Librarian Service / 10.2.3：
Benchmark Tests / 10.3.1：
Appendix / Part IV：
XML Schema Primitive Datatypes / A：
Reasoning Algorithms / B：
Structural Subsumption / B.1：
Example 1 / B.2.1：
Example 2 / B.2.2：
Brown Tag Set / C：
Part-of-Speech Taggers and Parsers / D：
POS Taggers / D.1：
Parsers / D.2：
Probabilistic IR Model / E：
Probability Theory / E.1：
References / E.2：
Index
Introduction to E-Librarian Services / 1：
From Ancient to Digital Libraries / 1.1：
From Searching to Finding / 1.2：
3.

電子ブック
ＥＢ
3. E-Librarian Service
Serge Linckels, Christoph Meinel
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
所蔵情報: loading…
目次情報: 続きを見る
Introduction to E-Librarian Services / 1：
From Ancient to Digital Libraries / 1.1：
From Searching to Finding / 1.2：
Searching the Web / 1.2.1：
Searching Multimedia Knowledge Bases / 1.2.2：
Exploratory Search / 1.2.3：
E-Librarian Services / 1.3：
Overview / 1.3.1：
Early Question-Answering Systems / 1.3.2：
Natural Language Interface / 1.3.3：
No Library without a Librarian / 1.3.4：
Characteristics of an E-Librarian Service / 1.3.5：
Overview and Organization of the Book / 1.4：
Key Technologies of E-Librarian Services / Part I：
Semantic Web and Ontologies / 2：
What is the Semantic Web? / 2.1：
The Vision of the Semantic Web / 2.1.1：
Semantic Web vs. Web N.O / 2.1.2：
Three Principles Ruling the Semantic Web / 2.1.3：
Architecture / 2.1.4：
Ontologies / 2.2：
Ontology Structure / 2.2.1：
Upper and Domain Ontologies / 2.2.2：
Linked Data / 2.2.3：
Expressivity of Ontologies / 2.2.4：
XML Extensible Markup Language / 2.3：
XML: Elements, Attributes and Values / 2.3.1：
Namespaces and Qualified Names / 2.3.2：
XML Schema / 2.3.3：
Complete Example / 2.3.4：
Limitations of XML / 2.3.5：
RDF-Resource Description Framework / 2.4：
RDF Triples and Serialization / 2.4.1：
RDF Schema / 2.4.2：
Limitations of RDF / 2.4.3：
Owl 1 and Owl 2 - Web Ontology Language / 2.5：
Instances, Classes and Restrictions in Owl / 2.5.1：
From Owl 1 to Owl 2 / 2.5.2：
Sparql, the Query Language / 2.5.4：
Description Logics and Reasoning / 3：
DL- Description Logics / 3.1：
Concept Descriptions / 3.1.1：
DL Languages / 3.1.2：
Equivalences between OWL and DL / 3.1.3：
DL Knowledge Base / 3.2：
Terminologies (TBox) / 3.2.1：
World Descriptions (ABox) / 3.2.2：
Interpretations / 3.3：
Interpreting Individuals, Concepts, and Roles / 3.3.1：
Modeling the Real World / 3.3.2：
Inferences / 3.4：
Standard Inferences / 3.4.1：
Non-Standard Inferences / 3.4.2：
Natural Language Processing / 4：
Overview and Challenges / 4.1：
Syntax, Semantics and Pragmatics / 4.1.1：
Difficulties of NLP / 4.1.2：
Zipf's law / 4.1.3：
Dealing with Single Words / 4.2：
Tokenization and Tagging / 4.2.1：
Morphology / 4.2.2：
Building Words over an Alphabet / 4.2.3：
Operations over Words / 4.2.4：
Semantic Knowledge Sources / 4.3：
Semantic relations / 4.3.1：
Semantic resources / 4.3.2：
Dealing with Sentences / 4.4：
Phrase Types / 4.4.1：
Phrase Structure / 4.4.2：
Grammar / 4.4.3：
Formal languages / 4.4.4：
Phrase structure ambiguities / 4.4.5：
Alternative parsing techniques / 4.4.6：
Multi-Language / 4.5：
Semantic Interpretation / 4.6：
Information Retrieval / 5：
Retrieval Process / 5.1：
Document Indexation and Weighting / 5.2：
Index of terms / 5.2.1：
Weighting / 5.2.2：
Retrieval Models / 5.3：
Boolean Model / 5.3.1：
Vector Model / 5.3.2：
Probabilistic Model / 5.3.3：
Page Rank / 5.3.4：
Semantic Distance / 5.3.5：
Other Models / 5.3.6：
Retrieval Evaluation / 5.4：
Precision, Recall, and Accuracy / 5.4.1：
Design and Utilization of E-Librarian Services / Part II：
Ontological Approach / 6：
Expert Systems / 6.1：
Classical Expert Systems / 6.1.1：
Ontology-Driven Expert Systems / 6.1.2：
Towards an E-Librarian Service / 6.2：
Reasoning Capabilities of an E-Librarian Service / 6.2.1：
Deploying an Ontology / 6.2.2：
Designing the Ontological Background / 6.2.3：
Semantic Annotation of the Knowledge Base / 6.3：
Computer-Assisted Creation of metadata / 6.3.1：
Automatic Generation of metadata / 6.3.2：
Design of the Natural Language Processing Module / 7：
Overview of the Semantic Interpretation / 7.1：
Logical Form / 7.1.1：
Processing of a User Question / 7.1.2：
NLP Pre-Processing / 7.2：
Domain Language / 7.2.1：
Lemmatization / 7.2.2：
Handling Spelling Errors / 7.2.3：
Ontology Mapping / 7.3：
Domain Dictionary / 7.3.1：
Mapping of Words / 7.3.2：
Resolving Ambiguities / 7.3.3：
Generation of a DL-Concept Description / 7.4：
Without Syntactic Analysis / 7.4.1：
With Syntactic Analysis / 7.4.2：
How much NLP is Sufficient? / 7.4.3：
Optimization and Normal Form / 7.4.4：
General Limitations and Constraints / 7.5：
Role Quantifiers / 7.5.1：
Conjunction and Disjunction / 7.5.2：
Negation / 7.5.3：
Open-Ended and Closed-Ended Questions / 7.5.4：
Formulations / 7.5.5：
Others / 7.5.6：
Multiple-Language Feature / 7.6：
Designing the Multimedia Information Retrieval Module / 8：
Overview of the MIR Module / 8.1：
Knowledge Base and metadata / 8.1.1：
Retrieval Principle / 8.1.2：
The Concept Covering Problem / 8.1.3：
Identifying Covers / 8.2：
Computing the Best Covers / 8.3：
Miss and Rest / 8.3.1：
Size of a Concept Description / 8.3.2：
Best Covers / 8.3.3：
Ranking / 8.4：
Algorithm for the Retrieval Problem / 8.5：
User Feedback / 8.6：
Direct User Feedback / 8.6.1：
Collaborative Tagging and Social Networks / 8.6.2：
Diversification of User Feedback / 8.6.3：
Implementation / 9：
Knowledge Layer / 9.1：
Inference Layer / 9.1.2：
Communication Layer / 9.1.3：
Presentation Layer / 9.1.4：
Development Details / 9.2：
Processing Owl and DL in Java / 9.2.1：
Client Front-End with Ajax Autocompleter / 9.2.2：
The Soap Web Service Interface / 9.2.3：
Applications / Part III：
Best practices / 10：
Computer History Expert System (CHESt) / 10.1：
Description / 10.1.1：
Experiment / 10.1.2：
Mathematics Expert System (MatES) / 10.2：
Benchmark Test / 10.2.1：
The Lecture Butler's E-Librarian Service / 10.2.3：
Benchmark Tests / 10.3.1：
Appendix / Part IV：
XML Schema Primitive Datatypes / A：
Reasoning Algorithms / B：
Structural Subsumption / B.1：
Example 1 / B.2.1：
Example 2 / B.2.2：
Brown Tag Set / C：
Part-of-Speech Taggers and Parsers / D：
POS Taggers / D.1：
Parsers / D.2：
Probabilistic IR Model / E：
Probability Theory / E.1：
References / E.2：
Index
Introduction to E-Librarian Services / 1：
From Ancient to Digital Libraries / 1.1：
From Searching to Finding / 1.2：
4.

電子ブック
ＥＢ
4. Combinatorial Computational Biology of RNA
Christian M. Reidys
出版情報: SpringerLink Books - AutoHoldings , Springer New York, 2011
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1：
RNA secondary structures / 1.1：
RNA pseudoknot structures / 1.2：
Sequence to structure maps / 1.3：
Folding / 1.4：
RNA tertiary interactions: a combinatorial perspective / 1.5：
Basic concepts / 2：
k-Noncrossing partial matchings / 2.1：
Young tableaux, RSK algorithm, and Weyl chambers / 2.1.1：
The Weyl group / 2.1.2：
From tableaux to paths and back / 2.1.3：
The generating function via the reflection principle / 2.1.4：
D-finiteness / 2.1.5：
Symbolic enumeration / 2.2：
Singularity analysis / 2.3：
Transfer theorems / 2.3.1：
The supercritical paradigm / 2.3.2：
Some ODEs / 2.4：
n-Cubes / 2.4.2：
Some basic facts / 2.5.1：
Random subgraphs of the n-cube / 2.5.2：
Vertex boundaries / 2.5.3：
Branching processes and Janson's inequality / 2.5.4：
Exercises / 2.6：
Tangled diagrams / 3：
Tangled diagrams and vacillating tableaux / 3.1：
The bijection / 3.2：
Enumeration / 3.3：
Combinatorial analysis / 4：
Cores and Shapes / 4.1：
Cores / 4.1.1：
Shapes / 4.1.2：
Generating functions / 4.2：
The GF of cores / 4.2.1：
The GF of k-noncrossing, ?-canonical structures / 4.2.2：
Asymptotics / 4.3：
k-Noncrossing structures / 4.3.1：
Canonical structures / 4.3.2：
Modular k-noncrossing structures / 4.4：
Colored shapes / 4.4.1：
The main theorem / 4.4.2：
Probabilistic Analysis / 4.5：
Uniform generation / 5.1：
Partial matchings / 5.1.1：
Central limit theorems / 5.1.2：
The central limit theorem / 5.2.1：
Arcs and stacks / 5.2.2：
Hairpin loops, interior loops, and bulges / 5.2.3：
Discrete limit laws / 5.3：
Irreducible substructures / 5.3.1：
The limit distribution of nontrivial returns / 5.3.2：
DP folding based on loop energies / 5.4：
Secondary structures / 6.1.1：
Pseudoknot structures / 6.1.2：
Combinatorial folding / 6.2：
Motifs / 6.2.1：
Skeleta / 6.2.3：
Saturation / 6.2.4：
Neutral networks / 7：
Neutral networks as random graphs / 7.1：
The giant / 7.2：
Cells / 7.2.1：
The number of vertices contained in cells / 7.2.2：
The largest component / 7.2.3：
Neutral paths / 7.3：
Connectivity / 7.4：
References / 7.5：
Index
Introduction / 1：
RNA secondary structures / 1.1：
RNA pseudoknot structures / 1.2：
5.

電子ブック
ＥＢ
5. Theory of Hypergeometric Functions
Kazuhiko Aomoto, Michitake Kita, Toshitake Kohno, Kenji Iohara
出版情報: SpringerLink Books - AutoHoldings , Springer Japan, 2011
所蔵情報: loading…
目次情報: 続きを見る
Introduction: the Euler-Gauss Hypergeometric Function / 1：
?-Function / 1.1：
Infinite-Product Representation Due to Euler / 1.1.1：
?-Function as Meromorphic Function / 1.1.2：
Connection Formula / 1.1.3：
Power Series and Higher Logarithmic Expansion / 1.2：
Hypergeometric Series / 1.2.1：
Gauss' Differential Equation / 1.2.2：
First-Order Fuchsian Equation / 1.2.3：
Logarithmic Connection / 1.2.4：
Higher Logarithmic Expansion / 1.2.5：
D-Module / 1.2.6：
Integral Representation Due to Euler and Riemann / 1.3：
Kummer's Method / 1.3.1：
Gauss' Contiguous Relations and Continued Fraction Expansion / 1.4：
Gauss' Contiguous Relation / 1.4.1：
Continued Fraction Expansion / 1.4.2：
Convergence / 1.4.3：
The Mellin-Barnes Integral / 1.5：
Summation over a Lattice / 1.5.1：
Barnes' Integral Representation / 1.5.2：
Mellin's Differential Equation / 1.5.3：
Plan from Chapter 2 / 1.6：
Representation of Complex Integrals and Twisted de Rham Cohomologies / 2：
Formulation of the Problem and Intuitive Explanation of the Twisted de Rham Theory / 2.1：
Concept of Twist / 2.1.1：
Intuitive Explanation / 2.1.2：
One-Dimensional Case / 2.1.3：
Two-Dimensional Case / 2.1.4：
Higher-Dimensional Generalization / 2.1.5：
Twisted Homology Group / 2.1.6：
Locally Finite Twisted Homology Group / 2.1.7：
Review of the de Rham Theory and the Twisted de Rham Theory / 2.2：
Preliminary from Homological Algebra / 2.2.1：
Current / 2.2.2：
Current with Compact Support / 2.2.3：
Sheaf Cohomology / 2.2.4：
The Case of Compact Support / 2.2.5：
De Rham's Theorem / 2.2.6：
Duality / 2.2.7：
Integration over a Simplex / 2.2.8：
Twisted Chain / 2.2.9：
Twisted Version of § 2.2.4 / 2.2.10：
Poincaré Duality / 2.2.11：
Reformulation / 2.2.12：
Comparison of Cohomologies / 2.2.13：
Computation of the Euler Characteristic / 2.2.14：
Construction of Twisted Cycles (1): One-Dimensional Case / 2.3：
Twisted Cycle Around One Point / 2.3.1：
Construction of Twisted Cycles / 2.3.2：
Intersection Number (i) / 2.3.3：
Comparison Theorem / 2.4：
Algebraic de Rham Complex / 2.4.1：
Cech Cohomology / 2.4.2：
Hypercohomology / 2.4.3：
Spectral Sequence / 2.4.4：
Algebraic de Rham Cohomology / 2.4.5：
Analytic de Rham Cohomology / 2.4.6：
de Rham-Saito Lemma and Representation of Logarithmic Differential Forms / 2.4.7：
Logarithmic Differential Forms / 2.5.1：
de Rham-Saito Lemma / 2.5.2：
Representation of Logarithmic Differential Forms (i) / 2.5.3：
Vanishing of Twisted Cohomology for Homogeneous Case / 2.6：
Basic Operators / 2.6.1：
Homotopy Formula / 2.6.2：
Eigenspace Decomposition / 2.6.3：
Vanishing Theorem (i) / 2.6.4：
Filtration of Logarithmic Complex / 2.7：
Filtration / 2.7.1：
Comparison with Homogeneous Case / 2.7.2：
Isomorphism / 2.7.3：
Vanishing Theorem of the Twisted Rational de Rham Cohomology / 2.8：
Vanishing of Logarithmic de Rham Cohomology / 2.8.1：
Vanishing of Algebraic de Rham Cohomology / 2.8.2：
Example / 2.8.3：
Arrangement of Hyperplanes in General Position / 2.9：
Vanishing Theorem (ii) / 2.9.1：
Representation of Logarithmic Differential Forms (ii) / 2.9.2：
Reduction of Poles / 2.9.3：
Basis of Cohomology / 2.9.4：
Arrangement of Hyperplanes and Hypergeometric Functions over Grassmannians / 3：
Classical Hypergeometric Series and Their Generalizations, in Particular, Hypergeometric Series of Type (n + 1, m + 1) / 3.1：
Definition / 3.1.1：
Simple Examples / 3.1.2：
Hypergeometric Series of Type (n + 1, m + 1) / 3.1.3：
Appell-Lauricella Hypergeometric Functions (i) / 3.1.4：
Appell-Lauricella Hypergeometric Functions (ii) / 3.1.5：
Restriction to a Sublattice / 3.1.6：
Examples / 3.1.7：
Appell-Lauricella Hypergeometric Functions (iii) / 3.1.8：
Horn's Hypergeometric Functions / 3.1.9：
Construction of Twisted Cycles (2): For an Arrangement of Hyperplanes in General Positiion / 3.2：
Bounded Chambers / 3.2.1：
Basis of Locally Finite Homology / 3.2.3：
Regularization of Integrals / 3.2.4：
Kummer's Method for Integral Representations and Its Modernization via the Twisted de Rham Theory: Integral Representations of Hypergeometric Series of Type (n + 1, m +1) / 3.3：
Higher-Dimensional Case / 3.3.1：
Elementary Integral Representations / 3.3.4：
Hypergeometric Function of Type (3,6) / 3.3.5：
Hypergeometric Functions of Type (n + 1, m + 1) / 3.3.6：
Horn's Cases / 3.3.7：
System of Hypergeometric Differential Equations E(n + 1, m + 1; ?) / 3.4：
Hypergeometric Integral of Type (n + 1, m + 1; ?) / 3.4.1：
Differential Equation E(n + 1, m + 1; ?) / 3.4.2：
Equivalent System / 3.4.3：
Integral Solutions of E(n + 1, m + 1; ?) and Wronskian / 3.5：
Hypergeometric Integrals as a Basis / 3.5.1：
Gauss' Equation E'(2, 4; ?') / 3.5.2：
Appell-Lauricella Hypergeometric Differential Equation E'(2, m + 1; ?') / 3.5.3：
Equation E'(3.6; ?') / 3.5.4：
Equation E'(4, 8; ?') / 3.5.5：
General Cases / 3.5.6：
Wronskian / 3.5.7：
Varchenko's Formula / 3.5.8：
Intersection Number (ii) / 3.5.9：
Twisted Riemann's Period Relations and Quadratic Relations of Hypergeometric Functions / 3.5.10：
Determination of the Rank of E(n + 1, m + 1; ?) / 3.6：
Equation E'(n + 1, m + 1; ?') / 3.6.1：
Equation E'(2,4; ?') / 3.6.2：
Equation E'(2, m + 1; ?') / 3.6.3：
Equation E'(3, 6; ?') / 3.6.4：
Duality of E(n + 1, m + 1; ?) / 3.6.5：
Duality of Equations / 3.7.1：
Duality of Grassmannians / 3.7.2：
Duality of Hypergeometric Functions / 3.7.3：
Duality of Integral Representations / 3.7.4：
Logarithmic Gauss-Manin Connection Associated to an Arrangement of Hyperplanes in General Position / 3.7.5：
Review of Notation / 3.8.1：
Variational Formula / 3.8.2：
Partial Fraction Expansion / 3.8.3：
Logarithmic Gauss-Manin Connection / 3.8.4：
Holonomic Difference Equations and Asymptotic Expansion / 4：
Existence Theorem Due to G.D. Birkhoff and Infinite- Product Representation of Matrices / 4.1：
Normal Form of Matrix-Valued Function / 4.1.1：
Asymptotic Form of Solutions / 4.1.2：
Existence Theorem (i) / 4.1.3：
Infinite-Product Representation of Matrices / 4.1.4：
Gauss' Decomposition / 4.1.5：
Regularization of the Product / 4.1.6：
Convergence of the First Column / 4.1.7：
Asymptotic Estimate of Infinite Product / 4.1.8：
Convergence of Lower Triangular Matrices / 4.1.9：
Asymptotic Estimate of Lower Triangular Matrices / 4.1.10：
Difference Equation Satisfied by Upper Triangular Matrices / 4.1.11：
Resolution of Difference Equations / 4.1.12：
Completion of the Proof / 4.1.13：
Holonomic Difference Equations in Several Variables and Asymptotic Expansion / 4.2：
Holonomic Difference Equations of First Order / 4.2.1：
Formal Asymptotic Expansion / 4.2.2：
Normal Form of Asymptotic Expansion / 4.2.3：
Existence Theorem (ii) / 4.2.4：
Connection Problem / 4.2.5：
Remark on 1-Cocyles / 4.2.6：
Gauss' Contiguous Relations / 4.2.8：
Saddle Point Method and Asymptotic Expansion / 4.2.9：
Contracting (Expanding) Twisted Cycles and Asymptotic Expansion / 4.3：
Twisted Cohomology / 4.3.1：
Saddle Point Method for Multi-Dimensional Case / 4.3.2：
Complete Kähler Metric / 4.3.3：
Gradient Vector Field / 4.3.4：
Critical Points / 4.3.5：
Vanishing Theorem (iii) / 4.3.6：
Application of the Morse Theory / 4.3.7：
n-Dimensional Lagrangian Cycles / 4.3.8：
n-Dimensional Twisted Cycles / 4.3.9：
Geometric Meaning of Asymptotic Expansion / 4.3.10：
Difference Equations Satisfied by the Hypergeometric Functions of Type (n + l, m +1; ?) / 4.4：
Derivation of Difference Equations / 4.4.1：
Asymptotic Expansion with a Fixed Direction / 4.4.3：
Non-Degeneracy of Period Matrix / 4.4.4：
Connection Problem of System of Difference Equations / 4.5：
Formulation / 4.5.1：
The Case of Appell-Lauricella Hypergeometric Functions / 4.5.2：
Mellin's Generalized Hypergeometric Functions / A：
Toric Multinomial Theorem / A.1：
Differential Equations of Mellin Type / A.4：
b-Functions / A.6：
Action of Algebraic Torus / A.7：
Vector Fields of Torus Action / A.8：
Lattice Defined by the Characters / A.9：
G-G-Z Equation / A.10：
The Selberg Integral and Hypergeometric Function of BC Type / A.11：
Selberg's Integral / B.1：
Generalization to Correlation Functions / B.2：
Monodromy Representation of Hypergeometric Functions of Type (2, m + 1; ?) / C：
Isotopic Deformation and Monodromy / C.1：
KZ Equation (Toshitake Kohno) / D：
Knizhnik-Zamolodchikov Equation / D.1：
Review of Conformal Field Theory / D.2：
Connection Matrices of KZ Equation / D.3：
Iwahori-Hecke Algebra and Quasi-Hopf Algebras / D.4：
Kontsevich Integral and Its Application / D.5：
Integral Representation of Solutions of the KZ Equation / D.6：
References
Index
Introduction: the Euler-Gauss Hypergeometric Function / 1：
?-Function / 1.1：
Infinite-Product Representation Due to Euler / 1.1.1：
6.

電子ブック
ＥＢ
6. Semantic Web Services
Dieter Fensel, Federico Michele Facca, Elena Simperl, Ioan Toma
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
所蔵情報: loading…
目次情報: 続きを見る
Scientific and Technological Foundations of Semantic Web Services / Part I：
Introduction / 1：
Web Science / 2：
Motivation / 2.1：
Technical Solution / 2.2：
History of the Web / 2.2.1：
Building the Web / 2.2.2：
Web in Society / 2.2.3：
Operationalizing the Web Science for a World of International Commerce / 2.2.4：
Analyzing the Web / 2.2.5：
Web 2.0 / 2.3：
Conclusions / 2.4：
References
Service Science / 3：
What Is a Service? / 3.1：
Service Analysis, Design, Development and Testing / 3.3：
Service Orchestration, Composition and Delivery / 3.4：
Service Innovation / 3.5：
Service Design Approach / 3.6：
Service Pricing Method and Economics / 3.7：
Service Quality Measurement / 3.8：
Service Technologies / 3.9：
Service Application / 3.10：
Web Services / 3.11：
Service Oriented Computing (SOC) / 4.1：
Service Oriented Architecture (SOA) / 4.1.2：
Defining Web Services / 4.2：
Web Service Technologies / 4.2.2：
Illustration by a Larger Example / 4.3：
Summary / 4.4：
Exercises / 4.5：
Web2.0 and RESTful Services / 5：
REST / 5.1：
Describing RESTful Services / 5.2.2：
Data Exchange for RESTful Services / 5.2.3：
AJAX APIs / 5.2.4：
Examples of RESTful Services / 5.2.5：
Semantic Web / 5.3：
Extensions / 6.1：
Web Service Modeling Ontology Approach / 6.4：
Web Service Modeling Ontology / 7：
Ontologies / 7.1：
Goals / 7.2.2：
Mediators / 7.2.4：
The Web Service Modeling Language / 7.3：
Principles of WSMO / 8.1：
Logics Families and Semantic Web Services / 8.1.2：
WSML Language Variants / 8.2：
WSML Basis / 8.2.2：
Ontologies in WSML / 8.2.3：
Web Services in WSML / 8.2.4：
Goals in WSML / 8.2.5：
Mediators in WSML / 8.2.6：
Technologies for Using WSML / 8.2.7：
Travel Ontology / 8.3：
Services / 8.4.2：
Goal / 8.4.3：
The Web Service Execution Environment / 8.5：
Service Orientation / 9.1：
Execution Environment for Semantic Web Services / 9.1.2：
Governing Principles / 9.1.3：
SESA Vision / 9.2：
SESA Middleware / 9.2.2：
SESA Execution Semantics / 9.2.3：
Modeling of Business Services / 9.3：
Execution of Services / 9.3.2：
Possible Extensions / 9.4：
Goal Subscription / 9.4.1：
Complementary Approaches for Web Service Modeling Ontology / 9.5：
Triple Space Computing for Semantic Web Services / 10：
Tuplespace Computing / 10.1：
Triple Space Computing / 10.2.2：
Triple Space Conceptual Models / 10.2.3：
Triple Space Architecture / 10.2.4：
Triple Space and Semantic Web Services / 10.2.5：
Triple Space and Semantic SOA / 10.2.6：
OWL-S and Other Approaches / 10.3：
OWL-S / 11.2.1：
Service Profile
Service Grounding / 11.2.2：
Service Model / 11.2.3：
An Extension to OWL-S / 11.2.4：
Tool Support / 11.2.5：
OWL-S Summary / 11.2.6：
METEOR-S / 11.3：
Semantic Annotation of Web services / 11.3.1：
Semantics-Based Discovery of Web Services / 11.3.2：
Composition of Web Services / 11.3.3：
METEOR-S Summary / 11.3.4：
IRS-III / 11.4：
Discovery, Selection and Mediation / 11.4.1：
Communication / 11.4.2：
Choreography and Orchestration / 11.4.3：
Lightweight Semantic Web Service Descriptions / 11.5：
SAWSDL / 12.1：
WSMO-Lite Service Semantics / 12.2.2：
WSMO-Lite in SAWSDL / 12.2.3：
WSMO-Lite for RESTful Services / 12.2.4：
Real-World Adoption of Semantic Web Services / 12.3：
What Are SWS Good for? DIP, SUPER, and SOA4All Use Cases / 13：
Data, Information, and Process Integration with Semantic Web Services (DIP) / 13.1：
Use Cases / 13.2.1：
Semantics Utilized for Process Management Within and Between Enterprises (SUPER) / 13.3：
Service Oriented Architectures for All (SOA4All) / 13.3.1：
Seekda: The Business Point of View / 13.4.1：
Crawler / 14.1：
Search Engine / 14.2.2：
Bundle Configurator and Assistant / 14.2.3：
Index / 14.3：
Scientific and Technological Foundations of Semantic Web Services / Part I：
Introduction / 1：
Web Science / 2：
7.

電子ブック
ＥＢ
7. Semantic Web Services
Dieter Fensel, Federico Michele Facca, Elena Simperl, Ioan Toma
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
所蔵情報: loading…
目次情報: 続きを見る
Scientific and Technological Foundations of Semantic Web Services / Part I：
Introduction / 1：
Web Science / 2：
Motivation / 2.1：
Technical Solution / 2.2：
History of the Web / 2.2.1：
Building the Web / 2.2.2：
Web in Society / 2.2.3：
Operationalizing the Web Science for a World of International Commerce / 2.2.4：
Analyzing the Web / 2.2.5：
Web 2.0 / 2.3：
Conclusions / 2.4：
References
Service Science / 3：
What Is a Service? / 3.1：
Service Analysis, Design, Development and Testing / 3.3：
Service Orchestration, Composition and Delivery / 3.4：
Service Innovation / 3.5：
Service Design Approach / 3.6：
Service Pricing Method and Economics / 3.7：
Service Quality Measurement / 3.8：
Service Technologies / 3.9：
Service Application / 3.10：
Web Services / 3.11：
Service Oriented Computing (SOC) / 4.1：
Service Oriented Architecture (SOA) / 4.1.2：
Defining Web Services / 4.2：
Web Service Technologies / 4.2.2：
Illustration by a Larger Example / 4.3：
Summary / 4.4：
Exercises / 4.5：
Web2.0 and RESTful Services / 5：
REST / 5.1：
Describing RESTful Services / 5.2.2：
Data Exchange for RESTful Services / 5.2.3：
AJAX APIs / 5.2.4：
Examples of RESTful Services / 5.2.5：
Semantic Web / 5.3：
Extensions / 6.1：
Web Service Modeling Ontology Approach / 6.4：
Web Service Modeling Ontology / 7：
Ontologies / 7.1：
Goals / 7.2.2：
Mediators / 7.2.4：
The Web Service Modeling Language / 7.3：
Principles of WSMO / 8.1：
Logics Families and Semantic Web Services / 8.1.2：
WSML Language Variants / 8.2：
WSML Basis / 8.2.2：
Ontologies in WSML / 8.2.3：
Web Services in WSML / 8.2.4：
Goals in WSML / 8.2.5：
Mediators in WSML / 8.2.6：
Technologies for Using WSML / 8.2.7：
Travel Ontology / 8.3：
Services / 8.4.2：
Goal / 8.4.3：
The Web Service Execution Environment / 8.5：
Service Orientation / 9.1：
Execution Environment for Semantic Web Services / 9.1.2：
Governing Principles / 9.1.3：
SESA Vision / 9.2：
SESA Middleware / 9.2.2：
SESA Execution Semantics / 9.2.3：
Modeling of Business Services / 9.3：
Execution of Services / 9.3.2：
Possible Extensions / 9.4：
Goal Subscription / 9.4.1：
Complementary Approaches for Web Service Modeling Ontology / 9.5：
Triple Space Computing for Semantic Web Services / 10：
Tuplespace Computing / 10.1：
Triple Space Computing / 10.2.2：
Triple Space Conceptual Models / 10.2.3：
Triple Space Architecture / 10.2.4：
Triple Space and Semantic Web Services / 10.2.5：
Triple Space and Semantic SOA / 10.2.6：
OWL-S and Other Approaches / 10.3：
OWL-S / 11.2.1：
Service Profile
Service Grounding / 11.2.2：
Service Model / 11.2.3：
An Extension to OWL-S / 11.2.4：
Tool Support / 11.2.5：
OWL-S Summary / 11.2.6：
METEOR-S / 11.3：
Semantic Annotation of Web services / 11.3.1：
Semantics-Based Discovery of Web Services / 11.3.2：
Composition of Web Services / 11.3.3：
METEOR-S Summary / 11.3.4：
IRS-III / 11.4：
Discovery, Selection and Mediation / 11.4.1：
Communication / 11.4.2：
Choreography and Orchestration / 11.4.3：
Lightweight Semantic Web Service Descriptions / 11.5：
SAWSDL / 12.1：
WSMO-Lite Service Semantics / 12.2.2：
WSMO-Lite in SAWSDL / 12.2.3：
WSMO-Lite for RESTful Services / 12.2.4：
Real-World Adoption of Semantic Web Services / 12.3：
What Are SWS Good for? DIP, SUPER, and SOA4All Use Cases / 13：
Data, Information, and Process Integration with Semantic Web Services (DIP) / 13.1：
Use Cases / 13.2.1：
Semantics Utilized for Process Management Within and Between Enterprises (SUPER) / 13.3：
Service Oriented Architectures for All (SOA4All) / 13.3.1：
Seekda: The Business Point of View / 13.4.1：
Crawler / 14.1：
Search Engine / 14.2.2：
Bundle Configurator and Assistant / 14.2.3：
Index / 14.3：
Scientific and Technological Foundations of Semantic Web Services / Part I：
Introduction / 1：
Web Science / 2：
8.

電子ブック
ＥＢ
8. Dynamical Systems and Chaos
Henk Broer, Floris Takens
出版情報: SpringerLink Books - AutoHoldings , Springer New York, 2011
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目次情報: 続きを見る
Examples and definitions of dynamical phenomena / 1：
The pendulum as a dynamical system / 1.1：
The free pendulum / 1.1.1：
The free undamped pendulum / 1.1.1.1：
The free damped pendulum / 1.1.1.2：
The forced pendulum / 1.1.2：
Summary and outlook / 1.1.3：
General definition of dynamical systems / 1.2：
Differential equations / 1.2.1：
Constructions of dynamical systems / 1.2.2：
Restriction / 1.2.2.1：
Discretisation / 1.2.2.2：
Suspension and poincaré map / 1.2.2.3：
Further examples of dynamical systems / 1.3：
A Hopf bifurcation in the Van der Pol equation / 1.3.1：
The Van der Pol equation / 1.3.1.1：
Hopf bifurcation / 1.3.1.2：
The Hénon map: Saddle points and separatrices / 1.3.2：
The logistic system: Bifurcation diagrams / 1.3.3：
The Newton algorithm / 1.3.4：
R U {∞} as a circle: Stereographic projection / 1.3.4.1：
Applicability of the Newton algorithm / 1.3.4.2：
Nonconvergent Newton algorithm / 3.3.4.1：
Newton algorithm in higher dimensions
Dynamical systems defined by partial differential equations / 1.3.5：
The 1-dimensional wave equation / 1.3.5.1：
Solution of the 1-dimensional wave equation / 1.3.5.2：
The 1-dimensional heat equation / 3.3.5.3：
The Lorenz attractor / 1.3.6：
The Lorenz system; the Lorenz attractor / 1.3.6.1：
Sensitive dependence on initial state / 1.3.6.2：
The Rössler attractor; Poincaré map / 1.3.7：
The Rössler system / 1.3.7.1：
The attractor of the Poincaré map / 1.3.7.2：
The doubling map and chaos / 1.3.8：
The doubling map on the interval / 1.3.8.1：
The doubling map on the circle / 1.3.8.2：
The doubling map in symbolic dynamics / 1.3.8.3：
Analysis of the doubling map in symbolic form / 1.3.8.4：
General shifts / 1.3.9：
Exercises / 1.4：
Qualitative properties and predictability of evolutions / 2：
Stationary and periodic evolutions / 2.1：
Predictability of periodic and stationary motions / 2.1.1：
Asymptotically and eventually periodic evolutions / 2.1.2：
Multi- and quasi-periodic evolutions / 2.2：
The n-dimensional torus / 2.2.1：
Translations on a torus / 2.2.2：
Translation systems on the 1 -dimensional torus / 2.2.2.1：
Translation systems on the 2-dimensional torus with time set R / 2.2.2.2：
Translation systems on the n-dimensional torus with time set R / 2.2.2.3：
Translation systems on the n-dimensional torus with time set Z or Z+ / 2.2.2.4：
General definition of multi- and quasi-periodic evolutions / 2.2.3：
Multi- and quasi-periodic subsystems / 2.2.3.1：
Example: The driven Van der Pol equation / 2.2.3.2：
The prediction principle l'histoire se répète / 2.2.4：
The general principle / 2.2.4.1：
Application to quasi-periodic evolutions / 2.2.4.2：
Historical remarks / 2.2.5：
Chaotic evolutions / 2.3：
Badly predictable (chaotic) evolutions of the doubling map / 2.3.1：
Definition of dispersion exponent and chaos / 2.3.2：
Properties of the dispersion exponent / 2.3.3：
'Transition' from quasi-periodic to stochastic / 2.3.3.1：
'Transition' from periodic to chaotic / 2.3.3.2：
'Transition' from chaotic to stochastic / 2.3.3.3：
Chaotic evolutions in the examples of Chapter 1 / 2.3.4：
Chaotic evolutions of the Thom map / 2.3.5：
Persistence of dynamical properties / 2.4：
Variation of initial state / 3.1：
Variation of parameters / 3.2：
Persistence of stationary and periodic evolutions / 3.3：
Persistence of stationary evolutions / 3.3.1：
Persistence of periodic evolutions / 3.3.2：
Persistence for the doubling map / 3.4：
Perturbations of the doubling map: Persistent chaoticity / 3.4.1：
Structural stability / 3.4.2：
The doubling map modelling a (fair) coin / 3.4.3：
Global structure of dynamical systems / 3.5：
Definitions / 4.1：
Examples of attractors / 4.2：
The doubling map and hyperbolic attractors / 4.2.1：
The doubling map on the plane / 4.2.1.1：
The doubling map in 3-space: The solenoid / 4.2.1.2：
Digression on hyperbolicity / 4.2.1.3：
The solenoid as a hyperbolic attractor / 4.2.1.4：
Properties of hyperbolic attractors / 4.2.1.5：
Nonhyperbolic attractors / 4.2.2：
Hénon-like attractors / 4.2.2.1：
Chaotic systems / 4.2.2.2：
Basin boundaries and the horseshoe map / 4.4：
Gradient systems / 4.4.1：
The horseshoe map / 4.4.2：
Symbolic dynamics / 4.4.2.1：
Horseshoelike sets in basin boundaries / 4.4.2.2：
On KAM theory / 4.5：
Introduction, setting of the problem / 5.1：
KAM theory of circle maps / 5.2：
Preliminaries / 5.2.1：
Formal considerations and small divisors / 5.2.2：
Resonance tongues / 5.2.3：
KAM theory of area-preserving maps / 5.3：
KAM theory of holomorphic maps / 5.4：
Complex linearisation / 5.4.1：
Cremer's example in Herman's version / 5.4.2：
The linear small divisor problem / 5.5：
Motivation / 5.5.1：
Setting of the problem and formal solution / 5.5.2：
Convergence / 5.5.3：
Reconstruction and time series analysis / 5.6：
Introduction / 6.1：
An experimental example: The dripping faucet / 6.2：
The reconstruction theorem / 6.3：
Generalisations / 6.3.1：
Continuous time / 6.3.1.1：
Multidimensional measurements / 6.3.1.2：
Endomorphisms / 6.3.1.3：
Compactness / 6.3.1.4：
Historical note / 6.3.2：
Reconstruction and detecting determinism / 6.4：
Box-counting dimension and its numerical estimation / 6.4.1：
Numerical estimation of the box-counting dimension / 6.4.2：
Box-counting dimension as an indication for 'thin' subsets / 6.4.3：
Estimation of topological entropy / 6.4.4：
Stationarity and reconstruction measures / 6.5：
Probability measures defined by relative frequencies / 6.5.1：
Definition of stationarity and reconstruction measures / 6.5.2：
Examples of nonexistence of reconstruction measures / 6.5.3：
Correlation dimensions and entropies / 6.6：
Miscellaneous remarks / 6.6.1：
Compatibility of the definitions of dimension and entropy with reconstruction / 6.6.2.1：
Generalised correlation integrals, dimensions, and entropies / 6.6.2.2：
Numerical estimation of correlation integrals, dimensions, entropies / 6.7：
Classical time series analysis, correlation integrals, and predictability / 6.8：
Classical time series analysis / 6.8.1：
Optimal linear predictors / 6.8.1.1：
Gaussian time series / 6.8.1.2：
Determinism and Autocovariances / 6.8.2：
Predictability and correlation integrals / 6.8.3：
L'histoire se répète / 6.8.3.1：
Local linear predictors / 6.8.3.2：
Miscellaneous subjects / 6.9：
Lyapunov exponents / 6.9.1：
Estimation of Lyapunov exponents from a time series / 6.9.2：
The Kantz-Diks test: Discriminating between time series and testing for reversibility / 6.9.3：
Differential topology and measure theory / 6.10：
Topology / A.1：
Differentiable manifolds / A.2：
Measure theory / A.3：
Miscellaneous KAM theory / Appendix B：
Classical (conservative) KAM theory / B.1：
Dissipative KAM theory / B.3：
On the KAM proof in the dissipative case / B.4：
Reformulation and some notation / B.4.1：
On the Newtonian iteration / B.4.2：
Miscellaneous bifurcations / B.5：
Local bifurcations of low codimension / C.1：
Saddle-node bifurcation / C.1.1：
Period doubling bifurcation / C.1.2：
Hopf-Neimark-Sacker bifurcation / C.1.3：
The center-saddle bifurcation / C.1.5：
Quasi-periodic bifurcations / C.2：
The quasi-periodic center-saddle bifurcation / C.2.1：
The quasi-periodic Hopf bifurcation / C.2.2：
Transition to chaos / C.3：
Derivation of the Lorenz equations / C.4：
Geometry and flow of an incompressible fluid / D.1：
Heat transport and the influence of temperature / D.2：
Rayleigh stability analysis / D.3：
Restriction to a 3-dimensionaI state space / D.4：
Guide to the literature / Appendix E：
General references / E.1：
On ergodic theory / E.2：
On Hamiltonian dynamics / E.3：
On normal forms and bifurcations / E.4：
Bibliography
Index
Examples and definitions of dynamical phenomena / 1：
The pendulum as a dynamical system / 1.1：
The free pendulum / 1.1.1：
9.

電子ブック
ＥＢ
9. Spyware and Adware
John Daniel Aycock
出版情報: Springer eBooks Computer Science , Springer US, 2011
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1：
Definitions and History / 1.1：
Motivation / 1.2：
Getting There / 2：
Installation / 2.1：
Explicit, Voluntary Installation / 2.1.1：
Drive-by Downloads, User Involvement / 2.1.2：
Drive-by Downloads, No User Involvement / 2.1.3：
Installation via Malware / 2.1.4：
Startup / 2.2：
Application-Specific Startup / 2.2.1：
GUI Startup / 2.2.2：
System Startup / 2.2.3：
Kernel Startup / 2.2.4：
Defenses / 2.2.5：
Staying There / 3：
Avoiding Detection / 3.1：
Basic Detection Avoidance / 3.1.1：
Anti-Spyware / 3.1.2：
Advanced Detection Avoidance: Rootkits / 3.1.3：
Avoiding Uninstall / 3.2：
Passive Avoidance / 3.2.1：
Active Avoidance / 3.2.2：
Keylogging / 4：
User Space Keylogging / 4.1：
Polling / 4.1.1：
Event Copying / 4.1.2：
Event Monitoring / 4.1.3：
User Space Keylogging Defenses / 4.2：
Authentication / 4.3：
Phoning Home / 5：
Push vs. Pull / 5.1：
Finding Home / 5.2：
Steganography / 5.3：
Information Leaking Defenses / 5.4：
Advertising / 6：
Types of Advertisement / 6.1：
Banner Advertisement / 6.1.1：
Banner Advertisement with Pull-down Menu / 6.1.2：
Expandable Banner Advertisement / 6.1.3：
Pushdown Banner Advertisement / 6.1.4：
Pop-up Advertisement / 6.1.5：
Pop-under Advertisement / 6.1.6：
Floating Advertisement / 6.1.7：
Tear-back Advertisement / 6.1.8：
In-text Advertisement / 6.1.9：
Transition Advertisement / 6.1.10：
Video Advertisements / 6.1.11：
Intent and Content / 6.2：
Advertisement Implementation / 7：
Implementation Location / 7.1：
Implementation on the User Machine / 7.1.1：
Implementation in the Network / 7.1.2：
Implementation near the User Machine / 7.1.3：
Implementation on the Server / 7.1.4：
Choosing Keywords / 7.2：
Blocking Advertisements / 7.3：
Pop-up Blocking / 7.3.1：
General Advertisement Blocking / 7.3.2：
Blocker Evasion and Blocker Blocking / 7.3.3：
Tracking Users
Cookies / 8.1：
Other Browser-Related Tracking Methods / 8.1.1：
User Profiling / 8.2：
Cognitive Styles, Mood, and Personality / 8.2.1：
Future Actions / 8.2.2：
Demographic Information / 8.2.3：
Social Networks / 8.2.4：
Real World Activities / 8.2.5：
Physical of Location / 8.2.6：
Search Terms and keywords / 8.2.7：
Disinterests / 8.2.8：
Conclusion / 9：
References
Index
Introduction / 1：
Definitions and History / 1.1：
Motivation / 1.2：
10.

電子ブック
ＥＢ
10. Spyware and Adware
John Daniel Aycock
出版情報: SpringerLink Books - AutoHoldings , Springer US, 2011
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目次情報: 続きを見る
Introduction / 1：
Definitions and History / 1.1：
Motivation / 1.2：
Getting There / 2：
Installation / 2.1：
Explicit, Voluntary Installation / 2.1.1：
Drive-by Downloads, User Involvement / 2.1.2：
Drive-by Downloads, No User Involvement / 2.1.3：
Installation via Malware / 2.1.4：
Startup / 2.2：
Application-Specific Startup / 2.2.1：
GUI Startup / 2.2.2：
System Startup / 2.2.3：
Kernel Startup / 2.2.4：
Defenses / 2.2.5：
Staying There / 3：
Avoiding Detection / 3.1：
Basic Detection Avoidance / 3.1.1：
Anti-Spyware / 3.1.2：
Advanced Detection Avoidance: Rootkits / 3.1.3：
Avoiding Uninstall / 3.2：
Passive Avoidance / 3.2.1：
Active Avoidance / 3.2.2：
Keylogging / 4：
User Space Keylogging / 4.1：
Polling / 4.1.1：
Event Copying / 4.1.2：
Event Monitoring / 4.1.3：
User Space Keylogging Defenses / 4.2：
Authentication / 4.3：
Phoning Home / 5：
Push vs. Pull / 5.1：
Finding Home / 5.2：
Steganography / 5.3：
Information Leaking Defenses / 5.4：
Advertising / 6：
Types of Advertisement / 6.1：
Banner Advertisement / 6.1.1：
Banner Advertisement with Pull-down Menu / 6.1.2：
Expandable Banner Advertisement / 6.1.3：
Pushdown Banner Advertisement / 6.1.4：
Pop-up Advertisement / 6.1.5：
Pop-under Advertisement / 6.1.6：
Floating Advertisement / 6.1.7：
Tear-back Advertisement / 6.1.8：
In-text Advertisement / 6.1.9：
Transition Advertisement / 6.1.10：
Video Advertisements / 6.1.11：
Intent and Content / 6.2：
Advertisement Implementation / 7：
Implementation Location / 7.1：
Implementation on the User Machine / 7.1.1：
Implementation in the Network / 7.1.2：
Implementation near the User Machine / 7.1.3：
Implementation on the Server / 7.1.4：
Choosing Keywords / 7.2：
Blocking Advertisements / 7.3：
Pop-up Blocking / 7.3.1：
General Advertisement Blocking / 7.3.2：
Blocker Evasion and Blocker Blocking / 7.3.3：
Tracking Users
Cookies / 8.1：
Other Browser-Related Tracking Methods / 8.1.1：
User Profiling / 8.2：
Cognitive Styles, Mood, and Personality / 8.2.1：
Future Actions / 8.2.2：
Demographic Information / 8.2.3：
Social Networks / 8.2.4：
Real World Activities / 8.2.5：
Physical of Location / 8.2.6：
Search Terms and keywords / 8.2.7：
Disinterests / 8.2.8：
Conclusion / 9：
References
Index
Introduction / 1：
Definitions and History / 1.1：
Motivation / 1.2：
11.

電子ブック
ＥＢ
11. Water in the Universe
Arnold Hanslmeier
出版情報: SpringerLink Books - AutoHoldings , Springer Netherlands, 2011
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目次情報: 続きを見る
Water on Earth, Properties of Water / 1：
The Role of Water in History / 1.1：
Water in Ancient Cultures / 1.1.1：
Modern Society and Water / 1.1.2：
The Chemical Elements Water Consists of / 1.2：
Hydrogen / 1.2.1：
Oxygen / 1.2.2：
Water, Chemical and Physical Properties / 1.3：
Chemical Properties / 1.3.1：
Physical Properties of Water / 1.3.2：
Evaporation and Condensation / 1.3.3：
Ice / 1.3.4：
Chemical Reactions and Water / 1.3.5：
Chemical Bonds / 1.4.1：
Acids and pH Value / 1.4.2：
Hydrates, Water in Crystals / 1.4.3：
Water: Spectral Signatures / 1.4.4：
The Hydrologic Cycle / 1.5：
Evaporation and Precipitation Balance / 1.5.1：
The Hydrologic Cycle and Climate Change / 1.5.2：
Life and Water / 2：
Life and Environment / 2.1：
The Importance of Water / 2.1.1：
Definition of Life / 2.1.2：
Evolution of Life / 2.1.3：
Life Under Extreme Conditions / 2.1.4：
Water and Other Solvents / 2.2：
The Importance of Solvents to Life / 2.2.1：
Other Solvents than Water / 2.2.2：
Energy for Life / 2.3：
Energy / 2.3.1：
Metabolic Diversity / 2.3.2：
Solar Energy / 2.3.3：
Photosynthesis and Respiration / 2.3.4：
Water on Planets and Dwarf Planets / 3：
Classification of Objects in the Solar System / 3.1：
Overview / 3.1.1：
Physical Parameters of Planets / 3.1.2：
Terrestrial Planets / 3.2：
Earth / 3.2.1：
Mercury / 3.2.2：
Venus / 3.2.3：
Mars / 3.2.4：
The Early Sun and Evolution of Terrestrial Planets / 3.2.5：
Dry Venus-Humid Earth-Climate Changes on Mars / 3.2.6：
Giant Planets / 3.3：
Jupiter / 3.3.1：
Saturn / 3.3.2：
Uranus / 3.3.3：
Neptune / 3.3.4：
Water on Giant Planets / 3.3.5：
Dwarf Planets / 3.4：
Pluto / 3.4.1：
Ices on Other Dwarf Planets / 3.4.2：
Satellites of Planets in the Solar System / 4：
Galilean Satellites / 4.1：
Io / 4.1.1：
Europa / 4.1.2：
Callisto / 4.1.3：
Ganymede / 4.1.4：
Satellites of Saturn / 4.2：
Titan / 4.2.1：
Other Satellites of Saturn / 4.2.3：
Satellites of Uranus and Neptune / 4.3：
The Satellites of Uranus / 4.3.1：
The Satellites of Neptune / 4.3.2：
The Earth Moon / 4.4：
Water on the Moon? / 4.4.1：
Water on Small Solar System Bodies / 5：
Clouds of Particles / 5.1：
The Kuiper Belt / 5.1.1：
The Oort Cloud / 5.1.2：
Comets / 5.2：
Early Observations / 5.2.1：
Orbital Characteristics of Comets / 5.2.2：
Physics of Comets / 5.2.3：
Collisions with Comets / 5.2.4：
Detection of Water on Comets / 5.2.5：
Asteroids / 5.3：
General Properties / 5.3.1：
Classification of Asteroids / 5.3.2：
NEOs / 5.3.3：
The Cretaceous-Tertiary Impact / 5.3.4：
Water and Ice on Asteroids / 5.3.5：
Asteroids as a Source for Water on Earth / 5.3.6：
Meteorites / 5.4：
Classification / 5.4.1：
Water in Meteorites / 5.4.3：
Water on Extrasolar Planets? / 6：
How to Detect Extrasolar Planets / 6.1：
Detection Methods / 6.1.1：
Extrasolar Planets Found by Different Detection Methods / 6.1.2：
Some Examples of Extrasolar Planets / 6.1.3：
Habitable Zones / 6.2：
Habitability / 6.2.1：
Circumstellar Habitable Zones / 6.2.2：
Galactic Habitable Zone / 6.2.3：
Habitable Zone Around Giant Planets / 6.2.4：
Dust Debris Around Stars / 6.3：
Signatures of Dust Around Stars / 6.3.1：
Dust Around Vega / 6.3.2：
Water Detection on Extrasolar Planets / 6.4：
Detection of Planetary Atmospheres / 6.4.1：
Hot Jupiters / 6.4.2：
Water on Extrasolar Planets / 6.4.3：
Some Model Calculations / 6.4.4：
Super Earth Planets / 6.4.5：
Water in Interstellar Space and Stars / 7：
Interstellar Medium / 7.1：
Physical Properties / 7.1.1：
Molecules in the Interstellar Medium / 7.1.2：
Interstellar Dust Lifecycle / 7.1.3：
Water Masers / 7.1.4：
Water in Starforming Regions / 7.2：
Clouds and Cloud Collapse / 7.2.1：
Water Signatures in Protostars / 7.2.2：
T Tauri Stars / 7.2.4：
Water Signatures in Spectra of Late Type Stars and the Sun / 7.3：
Late Type Stars and Water / 7.3.1：
Water in Sunspots? / 7.3.2：
Water in Galaxies / 7.4：
The Milky Way Galaxy / 7.4.1：
Water in the Galaxy? / 7.4.2：
Galaxy Clusters / 7.4.3：
IR-Galaxies / 7.4.5：
Water Masers in Nearby Galaxies / 7.4.6：
Mega-Masers / 7.4.7：
Water-Where Does It Come from? / 8：
The Evolution of the Universe / 8.1：
An Expanding Universe / 8.1.1：
Radiation from the Early Universe / 8.1.2：
Abundance of Elements / 8.1.3：
No Water in the Early Universe / 8.1.4：
Stellar Evolution / 8.2：
Red Giants / 8.2.1：
The Asymptotic Giant Branch / 8.2.2：
A Carbon Flash? / 8.2.3：
Post AGB Evolution / 8.2.4：
Elements Heavier than He / 8.2.5：
The Ultimate Fate of a Low Massive Star: White Dwarfs / 8.2.6：
Massive Stars / 8.3：
Main Sequence Evolution of Massive Stars / 8.3.1：
Supernova Explosion / 8.3.2：
Stellar Populations / 8.3.3：
Appendix / 9：
How to Detect Water / 9.1：
Transparency of the Earth's Atmosphere / 9.1.1：
In Situ Measurements / 9.1.2：
Spectroscopic Signatures / 9.1.3：
Satellite Missions / 9.2：
Water Detection with SWAS / 9.2.1：
IR Satellites / 9.2.2：
Future Astronomical Telescopes / 9.2.3：
Some Astrophysical Concepts / 9.3：
Apparent Magnitude / 9.3.1：
Spectral Classes / 9.3.2：
The Hertzsprung-Russell Diagram, HRD / 9.3.3：
References
Index
Water on Earth, Properties of Water / 1：
The Role of Water in History / 1.1：
Water in Ancient Cultures / 1.1.1：
12.

電子ブック
ＥＢ
12. Photonic Structures Inspired by Nature
Mathias Kolle
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Introduction / 1：
References
Theoretical Aspects of Photonic Structures / 2：
Reflection and Refraction at Optical Interfaces / 2.1：
Thin Film Interference / 2.2：
Multilayer Reflectivity / 2.3：
Qualitative Analysis of Multilayer Interference / 2.3.1：
Quantitative Analysis of Multilayer Interference / 2.3.2：
Band-Gaps of One-Dimensional Photonic Crystals / 2.4：
Multilayer Resonance Cavities / 2.5：
Diffraction from Periodic Surface Structures / 2.6：
Diffraction in the Fraunhofer Approximation / 2.6.1：
Finite-Difference Time-Domain Modelling of Diffraction / 2.6.2：
Structural Colours in Nature / 3：
Structural Colours in the Animal Kingdom / 3.1：
Simple Multilayers: The Japanese Jewel Beetle / 3.1.1：
Complex Multilayer Arrangements in Butterfly and Moth Structures / 3.1.2：
Floral Diffractive Structures / 3.2：
Diffraction and Iridescence from Striations on Flower Petals / 3.2.1：
Near-UV Reflectivity Enhancement by Grating-Like Striations / 3.2.2：
Conclusion / 3.3：
Materials and Techniques / 4：
Materials / 4.1：
Polymer Materials / 4.1.1：
Metal Oxides / 4.1.2：
Techniques: Multilayer Production / 4.2：
Sequential Spin-Coating / 4.2.1：
Floating and Stacking / 4.2.2：
Atomic Layer Deposition / 4.2.3：
Techniques: Pattern Creation and Transfer / 4.3：
Colloid Templating / 4.3.1：
Argon Ion Milling / 4.3.2：
Nano-Imprint Lithography / 4.3.3：
Dental Wax Casting / 4.3.4：
Techniques: Sample Characterisation / 4.4：
Gonio-Spectroscopy / 4.4.1：
Micro-Spectroscopy / 4.4.2：
Ellipsometry / 4.4.3：
Static and Tuneable One-Dimensional Photonic Structures / 5：
Static One-Dimensional Optical Devices / 5.1：
Organic Bragg Reflectors / 5.1.1：
Organic Resonance Cavities / 5.1.2：
Stretch-tuneable Dielectric Mirrors and Optical Microcavities / 5.2：
Sample Preparation and Experimental Setup / 5.2.1：
Cavity Design and Modelling / 5.2.2：
Results and Discussions / 5.2.3：
Microfabrication of Photonic Structures with Higher Dimensionality / 5.3：
Template-Assisted Ion Milling / 6.1：
The Ion Milling Template / 6.1.1：
Micro-Cones / 6.1.2：
Gold Crowns on Micro-Cones / 6.1.3：
Multilayer Patterning by Ion Milling / 6.1.4：
Nano-Imprinting of Photonic Structures / 6.2：
Imprinting with Micro-Cone Masters / 6.2.1：
Replication of Micro-Cones for Flexible Cell Substrates / 6.2.2：
Fabrication of an Imprint Master for the Replication of Butterfly Wing Scale Patterns / 6.2.3：
Multilayer Patterning by Nano-Imprinting / 6.2.4：
Atomic Layer Deposition on Structured Substrates / 6.3：
Mimicry of Papilio Blumei's Colourful Wing Scale Structure / 6.4：
The Role Model / 7.1：
The Replication Procedure / 7.2：
A Structural Replica / 7.3：
A Structurally Modified Replica with Enhanced Optical Performance / 7.4：
Conclusions and Future Work / 7.5：
Summary / 8.1：
Future Work / 8.2：
Curriculum Vitae
Introduction / 1：
References
Theoretical Aspects of Photonic Structures / 2：
13.

電子ブック
ＥＢ
13. Evolutionary Statistical Procedures
Roberto Baragona, Francesco Battaglia, Irene Poli
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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目次情報: 続きを見る
Introduction / 1：
Bio-inspired Optimization Methods / 1.1：
Topics Organization / 1.2：
Evolutionary Computation / 2：
Evolutionary Computation Between Artificial Intelligence and Natural Evolution / 2.1：
The Contribution of Genetics / 2.1.2：
Evolutionary Computation Methods / 2.2：
Essential Properties / 2.2.1：
Evolutionary Programming / 2.2.2：
Evolution Strategies / 2.2.3：
Genetic Algorithms / 2.2.4：
Estimation of Distribution Algorithms / 2.2.5：
Differential Evolution / 2.2.6：
Evolutionary Behavior Algorithms / 2.2.7：
A Simple Example of Evolutionary Computation / 2.2.8：
Properties of Genetic Algorithms / 2.3：
Genetic Algorithms as a Paradigm of Evolutionary Computation / 2.3.1：
Evolution of Genetic Algorithms / 2.3.2：
Convergence of Genetic Algorithms / 2.3.3：
Issues in the Implementation of Genetic Algorithms / 2.3.4：
Genetic Algorithms and Random Sampling from a Probability Distribution / 2.3.5：
Evolving Regression Models / 3：
Identification / 3.1：
Linear Regression / 3.2.1：
Generalized Linear Models / 3.2.2：
Principal Component Analysis / 3.2.3：
Parameter Estimation / 3.3：
Regression Models / 3.3.1：
The Logistic Regression Model / 3.3.2：
Independent Component Analysis / 3.4：
ICA algorithms / 3.4.1：
Simple GAs for ICA / 3.4.2：
GAs for Nonlinear ICA / 3.4.3：
Time Series Linear and Nonlinear Models / 4：
Models of Time Series / 4.1：
Autoregressive Moving Average Models / 4.2：
Identification of ARMA Models by Genetic Algorithms / 4.2.1：
More General Models / 4.2.2：
Nonlinear Models / 4.3：
Threshold AR and Double Threshold GARCH Models / 4.3.1：
Exponential Models / 4.3.2：
Piecewise Linear Models / 4.3.3：
Bilinear Models / 4.3.4：
Real Data Applications / 4.3.5：
Artificial Neural Networks / 4.3.6：
Design of Experiments / 5：
Experiments and Design of Experiments / 5.1：
Randomization, Replication and Blocking / 5.2.1：
Factorial Designs and Response Surface Methodology / 5.2.2：
The Evolutionary Design of Experiments / 5.3：
High-Dimensionality Search Space / 5.3.1：
The Evolutionary Approach to Design Experiments / 5.3.2：
The Genetic Algorithm Design (GA-Design) / 5.3.3：
The Evolutionary Model-Based Experimental Design: The Statistical Models in the Evolution / 5.4：
The Evolutionary Neural Network Design (ENN-Design) / 5.4.1：
The Model Based Genetic Algorithm Design (MGA-Design) / 5.4.2：
The Evolutionary Bayesian Network Design (EBN-Design) / 5.4.3：
Outliers / 6：
Outliers in Independent Data / 6.1：
Exploratory Data Analysis for Multiple Outliers Detection / 6.1.1：
Genetic Algorithms for Detecting Outliers in an i.i.d. Data Set / 6.1.2：
Outliers in Time Series / 6.2：
Univariate ARIMA Models / 6.2.1：
Multivariate Time Series Outlier Models / 6.2.2：
Genetic Algorithms for Multiple Outlier Detection / 6.3：
Detecting Multiple Outliers in Univariate Time Series / 6.3.1：
Genetic Algorithms for Detecting Multiple Outliers in Multivariate Time Series / 6.3.2：
An Example of Application to Real Data / 6.3.3：
Cluster Analysis / 7：
The Partitioning Problem / 7.1：
Classification / 7.1.1：
Algorithms for Clustering Data / 7.1.2：
Indexes of Cluster Validity / 7.1.3：
Genetic Clustering Algorithms / 7.2：
A Genetic Divisive Algorithm / 7.2.1：
Quick Partition Genetic Algorithms / 7.2.2：
Centroid Evolution Algorithms / 7.2.3：
The Grouping Genetic Algorithm / 7.2.4：
Genetic Clustering of Large Data Sets / 7.2.5：
Fuzzy Partition / 7.3：
The Fuzzy c-Means Algorithm / 7.3.1：
Genetic Fuzzy Partition Algorithms / 7.3.2：
Multivariate Mixture Models Estimation by Evolutionary Computing / 7.4：
Genetic Multivariate Mixture Model Estimates / 7.4.1：
Hybrid Genetic Algorithms and the EM Algorithm / 7.4.2：
Multivariate Mixture Model Estimates with Unknown Number of Mixtures / 7.4.3：
Genetic Algorithms in Classification and Regression Trees Models / 7.5：
Clusters of Time Series and Directional Data / 7.6：
GAs-Based Methods for Clustering Time Series Data / 7.6.1：
GAs-Based Methods for Clustering Directional Data / 7.6.2：
Multiobjective Genetic Clustering / 7.7：
Pareto Optimality / 7.7.1：
Multiobjective Genetic Clustering Outline / 7.7.2：
References
Index
Introduction / 1：
Bio-inspired Optimization Methods / 1.1：
Topics Organization / 1.2：
14.

電子ブック
ＥＢ
14. Visual Analysis of Behaviour
Shaogang Gong, Tao Xiang
出版情報: Springer eBooks Computer Science , Springer London, 2011
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Introduction / Part I：
About Behaviour / 1：
Understanding Behaviour / 1.1：
Representation and Modelling / 1.1.1：
Detection and Classification / 1.1.2：
Prediction and Association / 1.1.3：
Opportunities / 1.2：
Visual Surveillance / 1.2.1：
Video Indexing and Search / 1.2.2：
Robotics and Healthcare / 1.2.3：
Interaction, Animation and Computer Games / 1.2.4：
Challenges / 1.3：
Complexity / 1.3.1：
Uncertainty / 1.3.2：
The Approach / 1.4：
References
Behaviour in Context / 2：
Facial Expression / 2.1：
Body Gesture / 2.2：
Human Action / 2.3：
Human Intent / 2.4：
Group Activity / 2.5：
Crowd Behaviour / 2.6：
Distributed Behaviour / 2.7：
Holistic Awareness: Connecting the Dots / 2.8：
Towards Modelling Behaviour / 3：
Behaviour Representation / 3.1：
Object-Based Representation / 3.1.1：
Part-Based Representation / 3.1.2：
Pixel-Based Representation / 3.1.3：
Event-Based Representation / 3.1.4：
Probabilistic Graphical Models / 3.2：
Static Bayesian Networks / 3.2.1：
Dynamic Bayesian Networks / 3.2.2：
Probabilistic Topic Models / 3.2.3：
Learning Strategies / 3.3：
Supervised Learning / 3.3.1：
Unsupervised Learning / 3.3.2：
Semi-supervised Learning / 3.3.3：
Weakly Supervised Learning / 3.3.4：
Active Learning / 3.3.5：
Sing-Object Behaviour / Part II：
Understanding Facial Expression / 4：
Classification of Images / 4.1：
Local Binary Patterns / 4.1.1：
Designing Classifiers / 4.1.2：
Feature Selection by Boosting / 4.1.3：
Manifold and Temporal Modelling / 4.2：
Locality Preserving Projections / 4.2.1：
Bayesian Temporal Models / 4.2.2：
Discussion / 4.3：
Modelling Gesture / 5：
Tracking Gesture / 5.1：
Motion Moment Trajectory / 5.1.1：
2D Colour-Based Tracking / 5.1.2：
Bayesian Association / 5.1.3：
3D Model-Based Tracking / 5.1.4：
Segmentation and Atomic Action / 5.2：
Temporal Segmentation / 5.2.1：
Atomic Actions / 5.2.2：
Markov Processes / 5.3：
Affective State Analysis / 5.4：
Space-Time Interest Points / 5.4.1：
Expression and Gesture Correlation / 5.4.2：
Action Recognition / 5.5：
Human Silhouette / 6.1：
Hidden Conditional Random Fields / 6.2：
HCRF Potential Function / 6.2.1：
Observable HCRF / 6.2.2：
Space-Time Clouds / 6.3：
Clouds of Space-Time Interest Points / 6.3.1：
Joint Local and Global Feature Representation / 6.3.2：
Localisation and Detection / 6.4：
Tracking Salient Points / 6.4.1：
Automated Annotation / 6.4.2：
Group Behaviour / 6.5：
Supervised Learning of Group Activity / 7：
Contextual Events / 7.1：
Seeding Event: Measuring Pixel-Change-History / 7.1.1：
Classification of Contextual Events / 7.1.2：
Activity Segmentation / 7.2：
Semantic Content Extraction / 7.2.1：
Semantic Video Segmentation / 7.2.2：
Correlations of Temporal Processes / 7.3：
Behavioural Interpretation of Activities / 7.3.2：
Unsupervised Behaviour Profiling / 7.4：
Off-line Behaviour Profile Discovery / 8.1：
Behaviour Patterns / 8.1.1：
Behaviour Profiling by Data Mining / 8.1.2：
Behaviour Affinity Matrix / 8.1.3：
Eigendecomposition / 8.1.4：
Model Order Selection / 8.1.5：
Quantifying Eigenvector Relevance / 8.1.6：
On-line Anomaly Detection / 8.2：
A Composite Behaviour Model / 8.2.1：
Run-Time Anomaly Measure / 8.2.2：
On-line Likelihood Ratio Test / 8.2.3：
On-line Incremental Behaviour Modelling / 8.3：
Model Bootstrapping / 8.3.1：
Incremental Parameter Update / 8.3.2：
Model Structure Adaptation / 8.3.3：
Hierarchical Behaviour Discovery / 8.4：
Local Motion Events / 9.1：
Markov Clustering Topic Model / 9.2：
Off-line Model Learning by Gibbs Sampling / 9.2.1：
On-line Video Saliency Inference / 9.2.2：
On-line Video Screening / 9.3：
Model Complexity Control / 9.4：
Semi-supervised Learning of Behavioural Saliency / 9.5：
Learning Behavioural Context / 9.6：
Spatial Context / 10.1：
Behaviour-Footprint / 10.1.1：
Semantic Scene Decompostion / 10.1.2：
Correlational and Temporal Context / 10.2：
Learning Regional Context / 10.2.1：
Learning Global Context / 10.2.2：
Context-Aware Anomly Detection / 10.3：
Modelling Rare and Subtle Behaviours / 10.4：
Weakly Supervised Joint Topic Model / 11.1：
Model Structure / 11.1.1：
Model Parameters / 11.1.2：
On-line Behaviour Classification / 11.2：
Localisation of Rare Behaviour / 11.3：
Man in the Loop / 11.4：
Active Behaviour Learning Strategy / 12.1：
Local Block-Based Behaviour / 12.2：
Bayesian Classification / 12.3：
Query Criteria / 12.4：
Likelihood Criterion / 12.4.1：
Uncertainty Criterion / 12.4.2：
Adaptive Query Selection / 12.5：
Multi-camera Behaviour Correlation / 12.6：
Multi-view Activity Representation / 13.1：
Local Bivariate Time-Series Events / 13.1.1：
Activity-Based Scene Decomposition / 13.1.2：
Learning Pair-Wise Correlation / 13.2：
Cross Canonical Correlation Analysis / 13.2.1：
Time-Delayed Mutual Information Analysis / 13.2.2：
Multi-camera Topology Inference / 13.3：
Person Re-identification / 13.4：
Re-identification by Ranking / 14.1：
Support Vector Ranking / 14.1.1：
Scalability and Complexity / 14.1.2：
Ensemble Rank SVM / 14.1.3：
Context-Aware Search / 14.2：
Connecting the Dots / 14.3：
Global Behaviour Segmentation / 15.1：
Bayesian Behaviour Graphs / 15.2：
A Time-Delayed Probalistic Graphical Model / 15.2.1：
Bayesian Graph Structure Learning / 15.2.2：
Bayesian Graph Parameter Learning / 15.2.3：
Cumulative Anomaly Score / 15.2.4：
Incremental Model Structure Learning / 15.2.5：
Global Awareness / 15.3：
Time-Ordered Latent Dirichlet Allocation / 15.3.1：
On-line Prediction and Anomaly Detection / 15.3.2：
Epilogue / 15.4：
Index
Introduction / Part I：
About Behaviour / 1：
Understanding Behaviour / 1.1：
15.

電子ブック
ＥＢ
15. Visual Analysis of Behaviour
Shaogang Gong, Tao Xiang
出版情報: SpringerLink Books - AutoHoldings , Springer London, 2011
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Introduction / Part I：
About Behaviour / 1：
Understanding Behaviour / 1.1：
Representation and Modelling / 1.1.1：
Detection and Classification / 1.1.2：
Prediction and Association / 1.1.3：
Opportunities / 1.2：
Visual Surveillance / 1.2.1：
Video Indexing and Search / 1.2.2：
Robotics and Healthcare / 1.2.3：
Interaction, Animation and Computer Games / 1.2.4：
Challenges / 1.3：
Complexity / 1.3.1：
Uncertainty / 1.3.2：
The Approach / 1.4：
References
Behaviour in Context / 2：
Facial Expression / 2.1：
Body Gesture / 2.2：
Human Action / 2.3：
Human Intent / 2.4：
Group Activity / 2.5：
Crowd Behaviour / 2.6：
Distributed Behaviour / 2.7：
Holistic Awareness: Connecting the Dots / 2.8：
Towards Modelling Behaviour / 3：
Behaviour Representation / 3.1：
Object-Based Representation / 3.1.1：
Part-Based Representation / 3.1.2：
Pixel-Based Representation / 3.1.3：
Event-Based Representation / 3.1.4：
Probabilistic Graphical Models / 3.2：
Static Bayesian Networks / 3.2.1：
Dynamic Bayesian Networks / 3.2.2：
Probabilistic Topic Models / 3.2.3：
Learning Strategies / 3.3：
Supervised Learning / 3.3.1：
Unsupervised Learning / 3.3.2：
Semi-supervised Learning / 3.3.3：
Weakly Supervised Learning / 3.3.4：
Active Learning / 3.3.5：
Sing-Object Behaviour / Part II：
Understanding Facial Expression / 4：
Classification of Images / 4.1：
Local Binary Patterns / 4.1.1：
Designing Classifiers / 4.1.2：
Feature Selection by Boosting / 4.1.3：
Manifold and Temporal Modelling / 4.2：
Locality Preserving Projections / 4.2.1：
Bayesian Temporal Models / 4.2.2：
Discussion / 4.3：
Modelling Gesture / 5：
Tracking Gesture / 5.1：
Motion Moment Trajectory / 5.1.1：
2D Colour-Based Tracking / 5.1.2：
Bayesian Association / 5.1.3：
3D Model-Based Tracking / 5.1.4：
Segmentation and Atomic Action / 5.2：
Temporal Segmentation / 5.2.1：
Atomic Actions / 5.2.2：
Markov Processes / 5.3：
Affective State Analysis / 5.4：
Space-Time Interest Points / 5.4.1：
Expression and Gesture Correlation / 5.4.2：
Action Recognition / 5.5：
Human Silhouette / 6.1：
Hidden Conditional Random Fields / 6.2：
HCRF Potential Function / 6.2.1：
Observable HCRF / 6.2.2：
Space-Time Clouds / 6.3：
Clouds of Space-Time Interest Points / 6.3.1：
Joint Local and Global Feature Representation / 6.3.2：
Localisation and Detection / 6.4：
Tracking Salient Points / 6.4.1：
Automated Annotation / 6.4.2：
Group Behaviour / 6.5：
Supervised Learning of Group Activity / 7：
Contextual Events / 7.1：
Seeding Event: Measuring Pixel-Change-History / 7.1.1：
Classification of Contextual Events / 7.1.2：
Activity Segmentation / 7.2：
Semantic Content Extraction / 7.2.1：
Semantic Video Segmentation / 7.2.2：
Correlations of Temporal Processes / 7.3：
Behavioural Interpretation of Activities / 7.3.2：
Unsupervised Behaviour Profiling / 7.4：
Off-line Behaviour Profile Discovery / 8.1：
Behaviour Patterns / 8.1.1：
Behaviour Profiling by Data Mining / 8.1.2：
Behaviour Affinity Matrix / 8.1.3：
Eigendecomposition / 8.1.4：
Model Order Selection / 8.1.5：
Quantifying Eigenvector Relevance / 8.1.6：
On-line Anomaly Detection / 8.2：
A Composite Behaviour Model / 8.2.1：
Run-Time Anomaly Measure / 8.2.2：
On-line Likelihood Ratio Test / 8.2.3：
On-line Incremental Behaviour Modelling / 8.3：
Model Bootstrapping / 8.3.1：
Incremental Parameter Update / 8.3.2：
Model Structure Adaptation / 8.3.3：
Hierarchical Behaviour Discovery / 8.4：
Local Motion Events / 9.1：
Markov Clustering Topic Model / 9.2：
Off-line Model Learning by Gibbs Sampling / 9.2.1：
On-line Video Saliency Inference / 9.2.2：
On-line Video Screening / 9.3：
Model Complexity Control / 9.4：
Semi-supervised Learning of Behavioural Saliency / 9.5：
Learning Behavioural Context / 9.6：
Spatial Context / 10.1：
Behaviour-Footprint / 10.1.1：
Semantic Scene Decompostion / 10.1.2：
Correlational and Temporal Context / 10.2：
Learning Regional Context / 10.2.1：
Learning Global Context / 10.2.2：
Context-Aware Anomly Detection / 10.3：
Modelling Rare and Subtle Behaviours / 10.4：
Weakly Supervised Joint Topic Model / 11.1：
Model Structure / 11.1.1：
Model Parameters / 11.1.2：
On-line Behaviour Classification / 11.2：
Localisation of Rare Behaviour / 11.3：
Man in the Loop / 11.4：
Active Behaviour Learning Strategy / 12.1：
Local Block-Based Behaviour / 12.2：
Bayesian Classification / 12.3：
Query Criteria / 12.4：
Likelihood Criterion / 12.4.1：
Uncertainty Criterion / 12.4.2：
Adaptive Query Selection / 12.5：
Multi-camera Behaviour Correlation / 12.6：
Multi-view Activity Representation / 13.1：
Local Bivariate Time-Series Events / 13.1.1：
Activity-Based Scene Decomposition / 13.1.2：
Learning Pair-Wise Correlation / 13.2：
Cross Canonical Correlation Analysis / 13.2.1：
Time-Delayed Mutual Information Analysis / 13.2.2：
Multi-camera Topology Inference / 13.3：
Person Re-identification / 13.4：
Re-identification by Ranking / 14.1：
Support Vector Ranking / 14.1.1：
Scalability and Complexity / 14.1.2：
Ensemble Rank SVM / 14.1.3：
Context-Aware Search / 14.2：
Connecting the Dots / 14.3：
Global Behaviour Segmentation / 15.1：
Bayesian Behaviour Graphs / 15.2：
A Time-Delayed Probalistic Graphical Model / 15.2.1：
Bayesian Graph Structure Learning / 15.2.2：
Bayesian Graph Parameter Learning / 15.2.3：
Cumulative Anomaly Score / 15.2.4：
Incremental Model Structure Learning / 15.2.5：
Global Awareness / 15.3：
Time-Ordered Latent Dirichlet Allocation / 15.3.1：
On-line Prediction and Anomaly Detection / 15.3.2：
Epilogue / 15.4：
Index
Introduction / Part I：
About Behaviour / 1：
Understanding Behaviour / 1.1：
16.

電子ブック
ＥＢ
16. Extended Finite Element Method for Crack Propagation
Sylvie Pommier, Anthony Gravouil, Alain Combescure, Nicolas Moes
出版情報: Wiley Online Library - AutoHoldings Books , Wiley-ISTE, 2011
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Foreword
Acknowledgements
List of Symbols
Introduction
Elementary Concepts of Fracture Mechanics / Chapter 1：
Superposition principle / 1.1：
Modes of crack straining / 1.3：
Singular fields at cracking point / 1.4：
Asymptotic solutions in Mode I / 1.4.1：
Asymptotic solutions in Mode II / 1.4.2：
Asymptotic solutions in Mode III / 1.4.3：
Conclusions / 1.4.4：
Crack propagation criteria / 1.5：
Local criterion / 1.5.1：
Energy criterion / 1.5.2：
Energy release rate G / 1.5.2.1：
Relationship between G and stress intensity factors / 1.5.2.2：
How the crack is propagated / 1.5.2.3：
Propagation velocity / 1.5.2.4：
Direction of crack propagation / 1.5.2.5：
Representation of Fixed and Moving Discontinuities / Chapter 2：
Geometric representation of a crack: a scale problem / 2.1：
Link between the geometric representation of the crack and the crack model / 2.1.1：
Link between the geometric representation of the crack and the numerical method used for crack growth simulation / 2.1.2：
Crack representation by level sets / 2.2：
Definition of level sets / 2.2.1：
Level sets discretization / 2.2.3：
Initialization of level sets / 2.2.4：
Simulation of the geometric propagation of a crack / 2.3：
Some examples of strategies for crack propagation simulation / 2.3.1：
Crack propagation modeled by level sets / 2.3.2：
Numerical methods dedicated to level set propagation / 2.3.3：
Prospects of the geometric representation of cracks / 2.4：
Extended Finite Element Method X-FEM / Chapter 3：
Going back to discretization methods / 3.1：
Formulation of the problem and notations / 3.2.1：
The Rayleigh-Ritz approximation / 3.2.2：
Finite element method / 3.2.3：
Meshless methods / 3.2.4：
The partition of unity / 3.2.5：
X-FEM discontinuity modeling / 3.3：
Introduction, case of a cracked bar / 3.3.1：
Case a: crack positioned on a node / 3.3.1.1：
Case b: crack between two nodes / 3.3.1.2：
Variants / 3.3.2：
Extension to two-dimensional and three-dimensional cases / 3.3.3：
Level sets within the framework of the eXtended finite element method / 3.3.4：
Technical and mathematical aspects / 3.4：
Integration / 3.4.1：
Conditioning / 3.4.2：
Evaluation of the stress intensity factors / 3.5：
The Eshelby tensor and the J integral / 3.5.1：
Interaction integrals / 3.5.2：
Considering volumic forces / 3.5.3：
Considering thermal loading / 3.5.4：
Non-linear Problems, Crack Growth by Fatigue / Chapter 4：
Fatigue and non-linear fracture mechanics / 4.1：
Mechanisms of crack growth by fatigue / 4.2.1：
Macroscopic crack growth rate and striation formation / 4.2.1.1：
Fatigue crack growth rate of long cracks, Paris law / 4.2.1.4：
Brief conclusions / 4.2.1.5：
Confined plasticity and consequences for crack growth / 4.2.2：
Irwin's plastic zones / 4.2.2.1：
Role of the T stress / 4.2.2.2：
Role of material hardening / 4.2.2.3：
Cyclic plasticity / 4.2.2.4：
Effect of residual stress on crack propagation / 4.2.2.5：
eXtended constitutive law / 4.3：
Scale-up method for fatigue crack growth / 4.3.1：
Procedure / 4.3.1.1：
Scaling / 4.3.1.2：
Assessment / 4.3.1.3：
Damage law / 4.3.2：
Plasticity threshold / 4.3.2.2：
Plastic flow rule / 4.3.2.3：
Evolution law of the center of the elastic domain / 4.3.2.4：
Model parameters / 4.3.2.5：
Comparisons / 4.3.2.6：
Applications / 4.4：
Mode I crack growth under variable loading / 4.4.1：
Effect of the T stress / 4.4.2：
Applications: Numerical Simulation of Crack Growth / Chapter 5：
Energy conservation: an essential ingredient / 5.1：
Proof of energy conservation / 5.1.1：
X-FEM approach / 5.1.1.1：
Cohesive zone models / 5.1.1.2：
Energy conservation for adaptive cohesive zones / 5.1.1.3：
Case where the material behavior depends on history / 5.1.2：
Examples of crack growth by fatigue simulations / 5.2：
Calculation of linear fatigue crack growth simulation / 5.2.1：
Two-dimensional fatigue tests / 5.2.2：
Test-piece CTS: crack growth in mode 1 / 5.2.2.1：
Arcan test piece: crack growth in mixed mode / 5.2.2.2：
Three-dimensional fatigue cracks Propavanfiss project / 5.2.3：
Internal crack growth rate / 5.2.3.1：
Propagation of corner cracks / 5.2.4：
Dynamic fracture simulation / 5.3：
Effects of crack speed a and crack growth criteria / 5.3.1：
Analytical solution: rectilinear crack propagation on a reference problem / 5.3.2：
Kalthoff experiment / 5.3.3：
Tests on test pieces CCS of Maigre-Rittel / 5.3.4：
Réthoré, Gregoire and Maigre tests / 5.3.5：
X-FEM method in explicit dynamics / 5.3.6：
Simulation of ductile fracture / 5.4：
Characteristics of material 16MND5 / 5.4.1：
Dynamic characterization of the material / 5.4.1.1：
Fracture tests / 5.4.1.2：
Crack advancement measurement device / 5.4.1.3：
Description of tests on CT test pieces / 5.4.1.4：
Numerical simulation / 5.4.1.5：
Ring test and interpretation / 5.4.2：
Geometry, mesh, and loading / 5.4.2.1：
Interpretation of the test in Mode I / 5.4.2.2：
Interpretation of the test in mixed mode / 5.4.2.3：
Conclusions and Open Problems
Summary
Bibliography
Index
Foreword
Acknowledgements
List of Symbols
17.

図書
図書
17. Fluid mechanics : a short course for physicists
Gregory Falkovich
出版情報: Cambridge : Cambridge University Press, 2011  xii, 167 p. ; 24 cm
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Preface
Prologue
Basic equations and steady flows / 1：
Definitions and basic equations / 1.1：
Definitions / 1.1.1：
Equations of motion for an ideal fluid / 1.1.2：
Hydrostatics / 1.1.3：
Isentropic motion / 1.1.4：
Conservation laws and potential flows / 1.2：
Kinematics / 1.2.1：
Kelvin's theorem / 1.2.2：
Energy and momentum fluxes / 1.2.3：
Irrotational and incompressible flows / 1.2.4：
Flow past a body / 1.3：
Incompressible potential flow past a body / 1.3.1：
Moving sphere / 1.3.2：
Moving body of an arbitrary shape / 1.3.3：
Quasi-momentum and induced mass / 1.3.4：
Viscosity / 1.4：
Reversibility paradox / 1.4.1：
Viscous stress tensor / 1.4.2：
Navier-Stokes equation / 1.4.3：
Law of similarity / 1.4.4：
Stokes flow and the wake / 1.5：
Slow motion / 1.5.1：
The boundary layer and the separation phenomenon / 1.5.2：
Flow transformations / 1.5.3：
Drag and lift with a wake / 1.5.4：
Exercises
Unsteady flows / 2：
Instabilities / 2.1：
Kelvin-Helmholtz instability / 2.1.1：
Energetic estimate of the stability threshold / 2.1.2：
Landau's law / 2.1.3：
Turbulence / 2.2：
Cascade / 2.2.1：
Turbulent river and wake / 2.2.2：
Acoustics / 2.3：
Sound / 2.3.1：
Riemann wave / 2.3.2：
Burgers equation / 2.3.3：
Acoustic turbulence / 2.3.4：
Mach number / 2.3.5：
Dispersive waves / 3：
Linear waves / 3.1：
Surface gravity waves / 3.1.1：
Viscous dissipation / 3.1.2：
Capillary waves / 3.1.3：
Phase and group velocity / 3.1.4：
Weakly non-linear waves / 3.2：
Hamiltonian description / 3.2.1：
Hamiltonian normal forms / 3.2.2：
Wave instabilities / 3.2.3：
Non-linear Schrödinger equation (NSE) / 3.3：
Derivation of NSE / 3.3.1：
Modulational instability / 3.3.2：
Soliton, collapse and turbulence / 3.3.3：
Korteveg-de-Vries (KdV) equation / 3.4：
Waves in shallow water / 3.4.1：
The KdV equation and the soliton / 3.4.2：
Inverse scattering transform / 3.4.3：
Solutions to exercises / 4：
Chapter 1
Chapter 2
Chapter 3
Epilogue
Notes
References
Index
Preface
Prologue
Basic equations and steady flows / 1：
18.

電子ブック
ＥＢ
18. Bifurcation and Chaos in Discontinuous and Continuous Systems
Albert C. J. Luo, Michal Feckan, Nail H. Ibragimov, Michal Fečkan
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Introduction / 1：
References
Preliminary Results / 2：
Linear Functional Analysis / 2.1：
Nonlinear Functional Analysis / 2.2：
Banach Fixed Point Theorem / 2.2.1：
Implicit Function Theorem / 2.2.2：
Lyapunov-Schmidt Method / 2.2.3：
Brouwer Degree / 2.2.4：
Local Invertibility / 2.2.5：
Global Invertibility / 2.2.6：
Multivalued Mappings / 2.3：
Differential Topology / 2.4：
Differentiable Manifolds / 2.4.1：
Vector Bundles / 2.4.2：
Tubular Neighbourhoods / 2.4.3：
Dynamical Systems / 2.5：
Homogenous Linear Equations / 2.5.1：
Chaos in Diffeomorphisms / 2.5.2：
Periodic ODEs / 2.5.3：
Vector Fields / 2.5.4：
Global Center Manifolds / 2.5.5：
Two-Dimensional Flows / 2.5.6：
Averaging Method / 2.5.7：
Carathéodory Type ODEs / 2.5.8：
Singularities of Smooth Maps / 2.6：
Jet Bundles / 2.6.1：
Transversality / 2.6.2：
Malgrange Preparation Theorem / 2.6.4：
Complex Analysis / 2.6.5：
Chaos in Discrete Dynamical Systems / 3：
Transversal Bounded Solutions / 3.1：
Difference Equations / 3.1.1：
Variational Equation / 3.1.2：
Perturbation Theory / 3.1.3：
Bifurcation from a Manifold of Homoclinic Solutions / 3.1.4：
Applications to Impulsive Differential Equations / 3.1.5：
Transversal Homoclinic Orbits / 3.2：
Higher Dimensional Difference Equations / 3.2.1：
Bifurcation Result / 3.2.2：
Applications to McMillan Type Mappings / 3.2.3：
Planar Integrable Maps with Separatrices / 3.2.4：
Singular Impulsive ODEs / 3.3：
Singular ODEs with Impulses / 3.3.1：
Linear Singular ODEs with Impulses / 3.3.2：
Derivation of the Melnikov Function / 3.3.3：
Examples of Singular Impulsive ODEs / 3.3.4：
Singularly Perturbed Impulsive ODEs / 3.4：
Singularly Perturbed ODEs with Impulses / 3.4.1：
Melnikov Function / 3.4.2：
Second Order Singularly Perturbed ODEs with Impulses / 3.4.3：
Inflated Deterministic Chaos / 3.5：
Inflated Dynamical Systems / 3.5.1：
Inflated Chaos / 3.5.2：
Chaos in Ordinary Differential Equations / 4：
Higher Dimensional ODEs / 4.1：
Parameterized Higher Dimensional ODEs / 4.1.1：
Variational Equations / 4.1.2：
Melnikov Mappings / 4.1.3：
The Second Order Melnikov Function / 4.1.4：
Application to Periodically Perturbed ODEs / 4.1.5：
ODEs with Nonresonant Center Manifolds / 4.2：
Parameterized Coupled Oscillators / 4.2.1：
Chaotic Dynamics on the Hyperbolic Subspace / 4.2.2：
Chaos in the Full Equation / 4.2.3：
Applications to Nonlinear ODEs / 4.2.4：
ODEs with Resonant Center Manifolds / 4.3：
ODEs with Saddle-Center Parts / 4.3.1：
Example of Coupled Oscillators at Resonance / 4.3.2：
General Equations / 4.3.3：
Singularly Perturbed and Forced ODEs / 4.3.4：
Forced Singular ODEs / 4.4.1：
Center Manifold Reduction / 4.4.2：
ODEs with Normal and Slow Variables / 4.4.3：
Homoclinic Hopf Bifurcation / 4.4.4：
Bifurcation from Degenerate Homoclinics / 4.5：
Periodically Forced ODEs with Degenerate Homoclinics / 4.5.1：
Bifurcation Equation / 4.5.2：
Bifurcation for 2-Parametric Systems / 4.5.3：
Bifurcation for 4-Parametric Systems / 4.5.4：
Autonomous Perturbations / 4.5.5：
Inflated ODEs / 4.6：
Inflated Carathéodory Type ODEs / 4.6.1：
Inflated Periodic ODEs / 4.6.2：
Inflated Autonomous ODEs / 4.6.3：
Nonlinear Diatomic Lattices / 4.7：
Forced and Coupled Nonlinear Lattices / 4.7.1：
Spatially Localized Chaos / 4.7.2：
Chaos in Partial Differential Equations / 5：
Beams on Elastic Bearings / 5.1：
Weakly Nonlinear Beam Equation / 5.1.1：
Setting of the Problem / 5.1.2：
Chaotic Solutions / 5.1.3：
Useful Numerical Estimates / 5.1.5：
Lipschitz Continuity / 5.1.6：
Infinite Dimensional Non-Resonant Systems / 5.2：
Buckled Elastic Beam / 5.2.1：
Abstract Problem / 5.2.2：
Chaos on the Hyperbolic Subspace / 5.2.3：
Applications to Vibrating Elastic Beams / 5.2.4：
Planer Motion with One Buckled Mode / 5.2.6：
Nonplaner Symmetric Beams / 5.2.7：
Nonplaner Nonsymmetric Beams / 5.2.8：
Multiple Buckled Modes / 5.2.9：
Periodically Forced Compressed Beam / 5.3：
Resonant Compressed Equation / 5.3.1：
Formulation of Weak Solutions / 5.3.2：
Chaos in Discontinuous Differential Equations / 5.3.3：
Transversal Homoclinic Bifurcation / 6.1：
Discontinuous Differential Equations / 6.1.1：
Geometric Interpretation of Nondegeneracy Condition / 6.1.2：
Orbits Close to the Lower Homoclinic Branches / 6.1.4：
Orbits Close to the Upper Homoclinic Branch / 6.1.5：
Chaotic Behaviour / 6.1.6：
Almost and Quasiperiodic Cases / 6.1.8：
Periodic Case / 6.1.9：
Piecewise Smooth Planar Systems / 6.1.10：
3D Quasiperiodic Piecewise Linear Systems / 6.1.11：
Multiple Transversal Crossings / 6.1.12：
Sliding Homoclinic Bifurcation / 6.2：
Higher Dimensional Sliding Homoclinics / 6.2.1：
Planar Sliding Homoclinics / 6.2.2：
Three-Dimensional Sliding Homoclinics / 6.2.3：
Outlook / 6.3：
Concluding Related Topics / 7：
Notes on Melnikov Function / 7.1：
Role of Melnikov Function / 7.1.1：
Melnikov Function and Calculus of Residues / 7.1.2：
Second Order ODEs / 7.1.3：
Applications and Examples / 7.1.4：
Transverse Heteroclinic Cycles / 7.2：
Blue Sky Catastrophes / 7.3：
Symmetric Systems with First Integrals / 7.3.1：
D'Alembert and Penalized Equations / 7.3.2：
Index
Introduction / 1：
References
Preliminary Results / 2：
19.

電子ブック
ＥＢ
19. Information Retrieval Architecture and Algorithms
Gerald Kowalski
出版情報: Springer eBooks Computer Science , Springer US, 2011
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Information Retrieval System Functions / 1：
Introduction / 1.1：
Primary Information Retrieval Problems / 1.1.1：
Objectives of Information Retrieval System / 1.1.2：
Functional Overview of Information Retrieval Systems / 1.2：
Selective Dissemination of Information / 1.2.1：
Alerts / 1.2.2：
Items and Item Index / 1.2.3：
Indexing and Mapping to a Taxonomy / 1.2.4：
Understanding Search Functions / 1.3：
Boolean Logic / 1.3.1：
Proximity / 1.3.2：
Contiguous Word Phrases / 1.3.3：
Fuzzy Searches / 1.3.4：
Term Masking / 1.3.5：
Numeric and Date Ranges / 1.3.6：
Vocabulary Browse / 1.3.7：
Multimedia Search / 1.3.8：
Relationship to Database Management Systems / 1.4：
Digital Libraries and Data Warehouses / 1.5：
Processing Subsystem Overview / 1.6：
Summary / 1.7：
Exercises / 1.8：
Data Structures and Mathematical Algorithms / 2：
Data Structures / 2.1：
Introduction to Data Structures / 2.1.1：
Inverted File Structure / 2.1.2：
N-Gram Data Structures / 2.1.3：
PAT Data Structure / 2.1.4：
Signature File Structure / 2.1.5：
Hypertext and XML Data Structures / 2.1.6：
XML / 2.1.7：
Mathematical Algorithms / 2.2：
Bayesian Mathematics / 2.2.1：
Shannon's Theory of Information / 2.2.3：
Latent Semantic Indexing / 2.2.4：
Hidden Markov Models / 2.2.5：
Neural Networks / 2.2.6：
Support Vector Machines / 2.2.7：
Ingest / 2.3：
Introduction to Ingest / 3.1：
Item Receipt / 3.2：
Duplicate Detection / 3.3：
Item Normalization / 3.4：
Zoning and Creation of Processing Tokens / 3.5：
Stemming / 3.6：
Introduction to the Stemming Process / 3.6.1：
Porter Stemming Algorithm / 3.6.2：
Dictionary Look-Up Stemmers / 3.6.3：
Successor Stemmers / 3.6.4：
Conclusions on Stemming / 3.6.5：
Entity Processing / 3.7：
Entity Identification / 3.7.1：
Entity Normalization / 3.7.2：
Entity Resolution / 3.7.3：
Information Extraction / 3.7.4：
Categorization / 3.8：
Citational Metadata / 3.9：
Indexing / 3.10：
What is Indexing / 4.1：
History / 4.1.1：
Objectives / 4.1.2：
Manual Indexing Process / 4.2：
Scope of Indexing / 4.2.1：
Precoordination and Linkages / 4.2.2：
Automatic Indexing of Text / 4.3：
Statistical Indexing / 4.3.1：
Natural Language / 4.3.2：
Concept Indexing / 4.3.3：
Automatic Indexing of Multimedia / 4.4：
Introduction to Mutlimedia Indexing / 4.4.1：
Audio Indexing / 4.4.2：
Image Indexing / 4.4.3：
Video Indexing / 4.4.4：
Search / 4.5：
Similarity Measures and Ranking / 5.1：
Similarity Measures / 5.2.1：
Hidden Markov Models Techniques / 5.3：
Ranking Algorithms / 5.4：
Relevance Feedback / 5.5：
Selective Dissemination of Information Search / 5.6：
Weighted Searches of Boolean Systems / 5.7：
Multimedia Searching / 5.8：
Document and Term Clustering / 5.9：
Introduction to Clustering / 6.1：
Thesaurus Generation / 6.2：
Manual Clustering / 6.2.1：
Automatic Term Clustering / 6.2.2：
Item Clustering / 6.3：
Hierarchy of Clusters / 6.4：
Automatic Hierarchical Cluster Algorithms / 6.4.1：
Measure of Tightness for Cluster / 6.5：
Issues with Use of Hierarchical Cluster Algorithms / 6.6：
Information Presentation / 6.7：
Information Presentation Introduction / 7.1：
Presentation of the Hits / 7.2：
Sequential Listing of Hits / 7.2.1：
Cluster View / 7.2.2：
Network View / 7.2.3：
Timeline Presentation / 7.2.4：
Display of the Item / 7.3：
Indicating Search Terms in Display / 7.3.1：
Text Summarization / 7.3.2：
Collaborative Filtering / 7.4：
Page Ranking as Collaborative Filtering / 7.4.1：
Multimedia Presentation / 7.5：
Audio Presentation / 7.5.1：
Image Item Presentation / 7.5.2：
Video Presentation / 7.5.3：
Human Perception and Presentation / 7.6：
Introduction to Information Visualization / 7.6.1：
Cognition and Perception / 7.6.2：
Search Architecture / 7.7：
Index Search Optimization / 8.1：
Pruning the Index / 8.1.1：
Champion Lists / 8.1.2：
Text Search Optimization / 8.2：
Software Text Search Algorithms / 8.2.1：
Hardware Text Search Systems / 8.2.2：
GOOGLE Scalable Multiprocessor Architecture / 8.3：
Information System Evaluation / 8.4：
Introduction to Information System Evaluation / 9.1：
Measures Used in System Evaluations / 9.2：
Multimedia Information Retrieval Evaluation / 9.3：
Measurement Example: TREC Evolution / 9.4：
Bibliography / 9.5：
Index
Information Retrieval System Functions / 1：
Introduction / 1.1：
Primary Information Retrieval Problems / 1.1.1：
20.

電子ブック
ＥＢ
20. Information Retrieval Architecture and Algorithms
Gerald Kowalski
出版情報: SpringerLink Books - AutoHoldings , Springer US, 2011
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目次情報: 続きを見る
Information Retrieval System Functions / 1：
Introduction / 1.1：
Primary Information Retrieval Problems / 1.1.1：
Objectives of Information Retrieval System / 1.1.2：
Functional Overview of Information Retrieval Systems / 1.2：
Selective Dissemination of Information / 1.2.1：
Alerts / 1.2.2：
Items and Item Index / 1.2.3：
Indexing and Mapping to a Taxonomy / 1.2.4：
Understanding Search Functions / 1.3：
Boolean Logic / 1.3.1：
Proximity / 1.3.2：
Contiguous Word Phrases / 1.3.3：
Fuzzy Searches / 1.3.4：
Term Masking / 1.3.5：
Numeric and Date Ranges / 1.3.6：
Vocabulary Browse / 1.3.7：
Multimedia Search / 1.3.8：
Relationship to Database Management Systems / 1.4：
Digital Libraries and Data Warehouses / 1.5：
Processing Subsystem Overview / 1.6：
Summary / 1.7：
Exercises / 1.8：
Data Structures and Mathematical Algorithms / 2：
Data Structures / 2.1：
Introduction to Data Structures / 2.1.1：
Inverted File Structure / 2.1.2：
N-Gram Data Structures / 2.1.3：
PAT Data Structure / 2.1.4：
Signature File Structure / 2.1.5：
Hypertext and XML Data Structures / 2.1.6：
XML / 2.1.7：
Mathematical Algorithms / 2.2：
Bayesian Mathematics / 2.2.1：
Shannon's Theory of Information / 2.2.3：
Latent Semantic Indexing / 2.2.4：
Hidden Markov Models / 2.2.5：
Neural Networks / 2.2.6：
Support Vector Machines / 2.2.7：
Ingest / 2.3：
Introduction to Ingest / 3.1：
Item Receipt / 3.2：
Duplicate Detection / 3.3：
Item Normalization / 3.4：
Zoning and Creation of Processing Tokens / 3.5：
Stemming / 3.6：
Introduction to the Stemming Process / 3.6.1：
Porter Stemming Algorithm / 3.6.2：
Dictionary Look-Up Stemmers / 3.6.3：
Successor Stemmers / 3.6.4：
Conclusions on Stemming / 3.6.5：
Entity Processing / 3.7：
Entity Identification / 3.7.1：
Entity Normalization / 3.7.2：
Entity Resolution / 3.7.3：
Information Extraction / 3.7.4：
Categorization / 3.8：
Citational Metadata / 3.9：
Indexing / 3.10：
What is Indexing / 4.1：
History / 4.1.1：
Objectives / 4.1.2：
Manual Indexing Process / 4.2：
Scope of Indexing / 4.2.1：
Precoordination and Linkages / 4.2.2：
Automatic Indexing of Text / 4.3：
Statistical Indexing / 4.3.1：
Natural Language / 4.3.2：
Concept Indexing / 4.3.3：
Automatic Indexing of Multimedia / 4.4：
Introduction to Mutlimedia Indexing / 4.4.1：
Audio Indexing / 4.4.2：
Image Indexing / 4.4.3：
Video Indexing / 4.4.4：
Search / 4.5：
Similarity Measures and Ranking / 5.1：
Similarity Measures / 5.2.1：
Hidden Markov Models Techniques / 5.3：
Ranking Algorithms / 5.4：
Relevance Feedback / 5.5：
Selective Dissemination of Information Search / 5.6：
Weighted Searches of Boolean Systems / 5.7：
Multimedia Searching / 5.8：
Document and Term Clustering / 5.9：
Introduction to Clustering / 6.1：
Thesaurus Generation / 6.2：
Manual Clustering / 6.2.1：
Automatic Term Clustering / 6.2.2：
Item Clustering / 6.3：
Hierarchy of Clusters / 6.4：
Automatic Hierarchical Cluster Algorithms / 6.4.1：
Measure of Tightness for Cluster / 6.5：
Issues with Use of Hierarchical Cluster Algorithms / 6.6：
Information Presentation / 6.7：
Information Presentation Introduction / 7.1：
Presentation of the Hits / 7.2：
Sequential Listing of Hits / 7.2.1：
Cluster View / 7.2.2：
Network View / 7.2.3：
Timeline Presentation / 7.2.4：
Display of the Item / 7.3：
Indicating Search Terms in Display / 7.3.1：
Text Summarization / 7.3.2：
Collaborative Filtering / 7.4：
Page Ranking as Collaborative Filtering / 7.4.1：
Multimedia Presentation / 7.5：
Audio Presentation / 7.5.1：
Image Item Presentation / 7.5.2：
Video Presentation / 7.5.3：
Human Perception and Presentation / 7.6：
Introduction to Information Visualization / 7.6.1：
Cognition and Perception / 7.6.2：
Search Architecture / 7.7：
Index Search Optimization / 8.1：
Pruning the Index / 8.1.1：
Champion Lists / 8.1.2：
Text Search Optimization / 8.2：
Software Text Search Algorithms / 8.2.1：
Hardware Text Search Systems / 8.2.2：
GOOGLE Scalable Multiprocessor Architecture / 8.3：
Information System Evaluation / 8.4：
Introduction to Information System Evaluation / 9.1：
Measures Used in System Evaluations / 9.2：
Multimedia Information Retrieval Evaluation / 9.3：
Measurement Example: TREC Evolution / 9.4：
Bibliography / 9.5：
Index
Information Retrieval System Functions / 1：
Introduction / 1.1：
Primary Information Retrieval Problems / 1.1.1：
21.

電子ブック
ＥＢ
21. Analysis and Design of Advice
Ivan Jureta
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
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目次情報: 続きを見る
Introduction / 1：
Coordination and Advice / 2：
When There Is None / 2.1：
From Division of Labor to Dependence on Advice / 2.2：
Autonomy and Coordination / 2.3：
Coordination Through Advice / 2.4：
Advice in Political Coordination / 2.5：
Dictatorship and Consent / 2.5.1：
Under Democracy / 2.5.2：
Advice and Meta-Advice in Politics / 2.5.3：
Advice in Economic Coordination / 2.6：
Central Planning / 2.6.1：
Market / 2.6.2：
Homo Follis / 2.7：
Conceptual Analysis of Advice / 3：
Rigorous Definition / 3.1：
Ostensive and Intensional Definitions / 3.1.1：
Primitive Terms / 3.1.2：
Criteria from Standard Theory / 3.1.3：
Signs to Objects and Back, via Concepts / 3.2：
Signs / 3.2.1：
Objects and Concepts / 3.2.2：
Relating Signs, Objects, and Concepts / 3.2.3：
Sings, Objects, and Concepts, in Advice / 3.2.4：
Ontology and Primitive Terms / 3.3：
Ontology in Philosophy / 3.3.1：
On the Engineering of Ontologies / 3.3.2：
Advice, Defined / 3.4：
Initial Ontological Commitments / 3.4.1：
Advice in Communication, Communication as Action / 3.4.2：
Essential Properties of and Identity Criteria for Advice / 3.4.3：
What Advice Is Not, but May Refer To / 3.4.4：
Relativist's Conceptual Analysis / 3.5：
Interpretation of Advice / 4：
Open Reference / 4.1：
Vague Advice / 4.2：
Referent Lost / 4.3：
Kinds of Advice / 5：
Classification from a Model of Choice / 5.1：
Perfect and Bounded Rational Choice / 5.2：
Ontology of Decision Analysis / 5.2.1：
Ontology of Choice in Organized Anarchies / 5.2.2：
Ontology of Intervowen Organisational Choice / 5.2.3：
Intolerance for Substitutes / 5.3：
Probability Intolerance / 5.3.1：
Utility Intolerance / 5.3.2：
Decision Information / 5.4：
Revealed Intentional States / 5.4.1：
Decision Information Ontology / 5.4.2：
Synthesis of the Decision Information Ontology / 5.4.3：
Taxonomy of Advice / 5.5：
Whose Explanations? / 5.5.1：
Specialization of the Concept of Advice / 5.5.2：
Reinterpreting Advice / 5.6：
Advisor's Problem and Its Solutions / 6：
Advice from Simple Explanations and Predictions / 6.1：
Models of Advice: An Overview / 6.2：
Introductory Example / 6.2.1：
Overview of the Framework for the Modeling of Advice / 6.2.2：
Modeling Language / 6.3：
AML2 / 6.3.1：
AML1 / 6.3.2：
AML / 6.3.3：
A-nets / 6.3.4：
Why the Interest in Structure? / 6.3.5：
Formulation of the Advisor's Problem / 6.4：
Solving the Advisor's Problem / 6.5：
Criteria for a Robust Solution / 6.6：
Criteria for a Clear Solution / 6.7：
Criteria from Empirical Evidence / 6.8：
Perspectives / 7：
References
Index
Introduction / 1：
Coordination and Advice / 2：
When There Is None / 2.1：
22.

電子ブック
ＥＢ
22. 2ND INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-11)
出版情報: AIP Conference Proceedings (American Institute of Physics) , AIP Publishing, 2011
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23.

電子ブック
ＥＢ
23. Analysis and Design of Advice
Ivan Jureta
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1：
Coordination and Advice / 2：
When There Is None / 2.1：
From Division of Labor to Dependence on Advice / 2.2：
Autonomy and Coordination / 2.3：
Coordination Through Advice / 2.4：
Advice in Political Coordination / 2.5：
Dictatorship and Consent / 2.5.1：
Under Democracy / 2.5.2：
Advice and Meta-Advice in Politics / 2.5.3：
Advice in Economic Coordination / 2.6：
Central Planning / 2.6.1：
Market / 2.6.2：
Homo Follis / 2.7：
Conceptual Analysis of Advice / 3：
Rigorous Definition / 3.1：
Ostensive and Intensional Definitions / 3.1.1：
Primitive Terms / 3.1.2：
Criteria from Standard Theory / 3.1.3：
Signs to Objects and Back, via Concepts / 3.2：
Signs / 3.2.1：
Objects and Concepts / 3.2.2：
Relating Signs, Objects, and Concepts / 3.2.3：
Sings, Objects, and Concepts, in Advice / 3.2.4：
Ontology and Primitive Terms / 3.3：
Ontology in Philosophy / 3.3.1：
On the Engineering of Ontologies / 3.3.2：
Advice, Defined / 3.4：
Initial Ontological Commitments / 3.4.1：
Advice in Communication, Communication as Action / 3.4.2：
Essential Properties of and Identity Criteria for Advice / 3.4.3：
What Advice Is Not, but May Refer To / 3.4.4：
Relativist's Conceptual Analysis / 3.5：
Interpretation of Advice / 4：
Open Reference / 4.1：
Vague Advice / 4.2：
Referent Lost / 4.3：
Kinds of Advice / 5：
Classification from a Model of Choice / 5.1：
Perfect and Bounded Rational Choice / 5.2：
Ontology of Decision Analysis / 5.2.1：
Ontology of Choice in Organized Anarchies / 5.2.2：
Ontology of Intervowen Organisational Choice / 5.2.3：
Intolerance for Substitutes / 5.3：
Probability Intolerance / 5.3.1：
Utility Intolerance / 5.3.2：
Decision Information / 5.4：
Revealed Intentional States / 5.4.1：
Decision Information Ontology / 5.4.2：
Synthesis of the Decision Information Ontology / 5.4.3：
Taxonomy of Advice / 5.5：
Whose Explanations? / 5.5.1：
Specialization of the Concept of Advice / 5.5.2：
Reinterpreting Advice / 5.6：
Advisor's Problem and Its Solutions / 6：
Advice from Simple Explanations and Predictions / 6.1：
Models of Advice: An Overview / 6.2：
Introductory Example / 6.2.1：
Overview of the Framework for the Modeling of Advice / 6.2.2：
Modeling Language / 6.3：
AML2 / 6.3.1：
AML1 / 6.3.2：
AML / 6.3.3：
A-nets / 6.3.4：
Why the Interest in Structure? / 6.3.5：
Formulation of the Advisor's Problem / 6.4：
Solving the Advisor's Problem / 6.5：
Criteria for a Robust Solution / 6.6：
Criteria for a Clear Solution / 6.7：
Criteria from Empirical Evidence / 6.8：
Perspectives / 7：
References
Index
Introduction / 1：
Coordination and Advice / 2：
When There Is None / 2.1：
24.

電子ブック
ＥＢ
24. Rational Reconstructions of Modern Physics
Peter Mittelstaedt
出版情報: SpringerLink Books - AutoHoldings , Springer Netherlands, 2011
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目次情報: 続きを見る
Rise and Fall of Physical Theories / 1：
The Evolution of Modern Physics from the Classical World / 1.1：
Intuitiveness and Truth of Modern Physics / 1.2：
The New Approach: Reduction and Elimination of Metaphysical Hypotheses / 1.3：
Reconstruction of Special and General Relativity / 2：
Historical Development Versus Rational Reconstruction / 2.1：
Reconstruction of Special Relativity / 2.2：
Transformations Between Inertial Systems / 2.2.1：
Digression: Derivation of the Galilei Transformation / 2.2.2：
End of the Digression / 2.2.3：
Space-Time Intervals and Relativistic Mechanics / 2.3：
Measurements of Space-Time Intervals / 2.3.1：
Relativistic Kinematics and Dynamics / 2.3.2：
The Numerical Value of the Constant ?: The First Answer to the Problem / 2.4：
The Invariance of the Einstein-Synchronisation / 2.4.1：
Time Dilatation / 2.4.2：
Could Special Relativity Have Been Discovered Already by Newton? / 2.5：
A Pseudo-Historical Digression / 2.5.1：
The Attempt to Reconstruct General Relativity / 2.6：
The Pseudo-Riemannian Character of Space-Time / 2.6.1：
Einstein's Field Equations / 2.6.2：
Conclusion / 2.7：
Reconstruction of Quantum Mechanics / 3：
The Historical Development of Quantum Mechanics / 3.1：
The Reduction of Ontological Hypotheses / 3.2：
The Formal Languages of Classical Physics and of Quantum Physics / 3.3：
The Formal Language of Classical Physics / 3.3.1：
The Formal Language of Quantum Physics / 3.3.2：
The Approach to Orthomodular Quantum Logic / 3.4：
The Bottom-up Reconstruction of Quantum Mechanics in Hilbert Space / 3.5：
Physics of Indistinguishable Objects / 3.6：
Are the Laws of Quantum Logic Laws of Nature? / 3.7：
Quantum Physics and Classical Physics-Their Respective Roles / 3.8：
Three Constants of Nature / 4：
The Problem of Constants of Nature in Modern Physics / 4.1：
The Meaning of the Constant "c" in Special Relativity / 4.2：
Preliminary Remarks / 4.2.1：
Metaphysics and Ontology / 4.2.2：
The Meaning of the Constant ? / 4.2.3：
One More Fundamental Question / 4.2.5：
Planck's Constant $$$ in the Light of Quantum Logic / 4.3：
Ontological Preliminaries / 4.3.1：
The Quantum Logic Approach / 4.3.2：
In Search of Planck's Constant / 4.3.3：
The Meaning of $$$ in the Quantum World / 4.3.4：
The Problem of the Gravitational Constant ? / 4.4：
Three Constants of Nature: Concluding Remarks / 4.5：
Interpretations of Modern Physics / 5：
Introductory Remarks / 5.1：
Two Interpretations / 5.2：
The Interpretation of the Theory of Special Relativity / 5.2.1：
Interpreting Quantum Mechanics / 5.2.2：
Summary / 5.3：
Concluding Remarks / 6：
Intuitiveness and Truth in Physical Theories / 6.1：
References
Index
Rise and Fall of Physical Theories / 1：
The Evolution of Modern Physics from the Classical World / 1.1：
Intuitiveness and Truth of Modern Physics / 1.2：
25.

電子ブック
ＥＢ
25. 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ)
出版情報: IEEE Electronic Library (IEL) Conference Proceedings , IEEE, 2011
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26.

図書
図書
26. Nanocomposite particles for bio-applications : materials and bio-interfaces (: hardcover)
edited by Tito Trindade, Ana L. Daniel da Silva
出版情報: Singapore : Pan Stanford Publishing, c2011  xxii, 289, 4 p. ; 24 cm
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目次情報: 続きを見る
List of Figures
List of Tables
Preface
From Nanoparticles to Nanocomposites: A Brief Overview / 1：
Nanoscience and Nanotechnology: An introduction / 1.1：
Nanoparticles' Diversity / 1.2：
Quantum dots / 1.2.1：
Iron oxides / 1.2.2：
Metal nanoparticles / 1.2.3：
Surface Modification of Nanoparticles / 1.3：
Ligand exchange reactions / 1.3.1：
Inorganic nanocoating / 1.3.2：
Encapsulation in polymers / 1.3.3：
Designing Biointerfaces over Nanoparticles / 1.4：
Challenges for the Future... Nanosafety for Today / 1.5：
Polymers for Biomedical Applications: Chemical Modification and Biofunctionalization / 2：
Drug Delivery Systems / 2.1：
Hydrogels / 2.2：
Application of hydrogels / 2.2.1：
Types of hydrogels / 2.2.2：
Bioadhesives / 2.3：
Surface Modification / 2.4：
Surface modification by ultra-violet radiation / 2.4.1：
Plasma treatment / 2.4.2：
Plasma generation / 2.4.2.1：
Plasma polymerization and surface modification of polymers / 2.4.2.2：
Concluding Remarks / 2.5：
Nanocapsules as Carriers for the Transport and Targeted Delivery of Bioactive Molecules / 3：
Introduction / 3.1：
Polymeric Nanocapsules: Production and Characterization / 3.2：
Nanocapsules made of synthetic polymers / 3.2.1：
Polyacrylate nanocapsules / 3.2.1.1：
Polyester nanocapsules / 3.2.1.2：
Nanocapsules made of natural polymers / 3.2.2：
Lipid nanocapsules / 3.2.3：
Therapeutical Applications of Nanocapsules / 3.3：
Nanocapsules for oral drug delivery / 3.3.1：
Nanocapsules for oral peptide delivery / 3.3.1.1：
Nanocapsules for oral delivery of lipophilic low molecular weight drugs / 3.3.1.2：
Nanocapsules as nasal drug carriers / 3.3.2：
Nanocapsules as ocular drug carriers / 3.3.3：
Nanocapsules in cancer therapy / 3.3.4：
Nanocapsules as carriers for gene therapy / 3.3.5：
Conclusions / 3.4：
Inorganic Nanoparticles Biofunctionalization / 4：
Bioeonjugation of Nanoparticles / 4.1：
Nanoparticles and Their Surface Properties / 4.2：
Surface capping of nanoparticles / 4.2.1：
Semiconductor quantum dots and metallic nanoparticles / 4.2.2：
Silica nanoparticles and silica encapsulation / 4.2.3：
Attachment Schemes / 4.3：
Covalent attachment / 4.3.1：
Non-covalent attachment / 4.3.2：
Affinity binding / 4.3.3：
Specific Cases / 4.4：
Proteins / 4.4.1：
DNA / 4.4.2：
Avidin / 4.4.3：
Phospholipid encapsulation and functionalization / 4.4.4：
Applications / 4.5：
Cellular imaging / 4.5.1：
Drug delivery / 4.5.2：
Bioluminescence resonance energy transfer / 4.5.3：
Hyperthermia / 4.5.4：
Conclusion / 4.6：
Silica-Based Materials: Bioprocesses and Nanocomposites / 5：
Natural Silica Nanocomposites / 5.1：
Diatom biosilica / 5.1.1：
Sponge biosilica / 5.1.3：
(Bio)-technological applications of biosilica / 5.1.4：
Biomimetic Silica Nanocomposites / 5.2：
Silica nanocomposites based on natural templates / 5.2.1：
Silica nanocomposites based on model templates / 5.2.3：
Synthetic peptides / 5.2.3.1：
Synthetic polyamines / 5.2.3.2：
Biological templates / 5.2.3.3：
Biomimetism: How far can we go? / 5.2.4：
Bio-Inspired Silica Nanocomposites / 5.3：
Biotechnological and medical applications / 5.3.1：
Perspectives / 5.3.3：
Synthetic Strategies for Polymer-Based Nanocomposite Particles / 6：
Surfaces and Interfaces: Chemical Modification of Nanoparticles / 6.1：
In situ Synthetic Strategies for Polymer-Based Colloidal Nanocomposites / 6.3：
In situ preparation of the fillers / 6.3.1：
Sol-gel methods / 6.3.1.1：
In situ polymerization of the matrix / 6.3.2：
Organic solvent-based methods: Dispersion polymerization / 6.3.2.1：
Water-based methods: Emulsion and miniemulsion polymerization / 6.3.2.2：
Controlled polymerization: Surface initiated polymerization(SIP) / 6.3.3：
Atom Transfer Radical Polymerization Atrp / 6.3.3.1：
Reversible Addition Fragmentation chain transfer (Raft) polymerization / 6.3.3.2：
Combined controlled polymerization mechanisms / 6.3.3.3：
Functionalization of Polymer-Based Nanocomposites for Bio-Applications / 6.4：
Final Remarks / 6.5：
Synthesis of Nanocomposite Particles Using Supercritical Fluids: A Bridge with Bio-applications / 7：
Supercritical Fluids: Definition and Current use in, Bio-Applications / 7.1：
Definition / 7.2.1：
Scps in biomedical applications / 7.2.2：
Development of drug delivery systems / 7.2.2.1：
scC02 for purification and sterilization / 7.2.2.2：
Can Scfs be Used to Introduce Inorganic NPs into Polymers? / 7.3：
Formation of hybrid organic-inorganic NPs in Scps(route 1) / 7.3.1：
Encapsulation of inorganic NPs into a polymer shell (route 2) / 7.3.2：
Polymer swelling and in situ growth of inorganic NPs (route 3) / 7.3.3：
Polymer swelling by scC02 / 7.3.3.1：
Chemical transformation of impregnated metal precursor / 7.3.3.2：
Biocomposites Containing Magnetic Nanoparticles / 7.4：
Magnetic Properties / 8.1：
Magnetism at nanoscale level: Concepts and main phenomena / 8.2.1：
Basic concepts / 8.2.1.1：
Systems with interactions between magnetic centers / 8.2.1.2：
Superparamagnetism / 8.2.1.3：
Magnetism concepts subjacent to bio-applicatons / 8.2.2：
Magnetic separation and drug delivery / 8.2.2.1：
Magnetic resonance imaging (Mri) / 8.2.2.2：
Magnetic hyperthermia / 8.2.2.3：
Magnetic Nanoparticles for Bio-Applications / 8.3：
Iron oxide nanoparticles / 8.3.1：
Metallic nanoparticles / 8.3.2：
Metal alloy nanoparticles / 8.3.3：
Bimagnetic nanoparticles / 8.3.4：
Strategies of Synthesis of Magnetic Biocomposite Nanoparticles / 8.4：
In situ formation of magnetic nanoparticles / 8.4.1：
Other magnetic nanoparticles / 8.4.1.1：
Encapsulation of magnetic nanoparticles within biopolymers / 8.4.2：
Conclusions and Future Outlook / 8.5：
Multifunctional Nanoeomposite Particles for Biomedical Applications / 9：
Types of Multifunctional Magnetic-Fluorescent Nanocomposites / 9.1：
Main Approaches to the Preparation of Multifunctional Magnetic-Fluorescent Nanocomposites / 9.3：
Silica coated magnetic-fluorescent nanoparticles / 9.3.1：
Organic polymer coated magnetic cores treated with fluorescent entities / 9.3.2：
Ionic assemblies of magnetic cores and fluorescent entities / 9.3.3：
Fluoreseently-labeled lipid coated magnetic nanoparticles / 9.3.4：
Magnetic core directly linked to fluorescent entity via a molecular spacer / 9.3.5：
Magnetic cores coated by fluorescent semiconducting shells / 9.3.6：
Magnetically-doped Qds / 9.3.7：
Magnetic nanoparticles and Qds embedded within a polymer or silica matrix / 9.3.8：
Biomedical Applications / 9.4：
Bio-imaging probes / 9.4.1：
Cell tracking, sorting and bioseparation / 9.4.2：
Applications in nanomedicine / 9.4.3：
Bio-Applications of Functionalized Magnetic Nanoparticles and Their Nanocomposites / 9.5：
Fundaments of Nanomagnetism / 10.1：
Single-domain particles / 10.2.1：
Magnetic anisotropy energy / 10.2.2：
Fundaments of Colloidal Stability / 10.2.3：
Bio-Applications of Magnetic Nanoparticles / 10.4：
Magnetic separation / 10.4.1：
Nuclear magnetic resonance imaging (Mri) / 10.4.2：
Contrast agents based on superparamagnetic nanomagnets / 10.4.3.1：
Magnetobiosensors / 10.4.4：
Magnetobiosensors based on magnetorelaxometry / 10.4.4.1：
Magnetobiosensors based on magnetoresistance / 10.4.4.2：
Magnetosensors based on Hall effect / 10.4.4.3：
Magnetoplasmonics / 10.4.4.4：
Summary and Outlook / 10.4.5：
Anti-Microbial Polymer Nanocomposites / 11：
Packaging / 11.1：
Textiles / 11.1.2：
Coatings / 11.1.3：
Antimicrobial coatings / 11.1.3.1：
Medicine, pathology and surgical implants/ biomedical coatings / 11.1.3.2：
Anti-Microbial Polymer-Based Nanocomposites / 11.2：
Mechanisms of Antibacterial Action / 11.3：
Detection of microbes / 11.3.1：
Control of microbial growth / 11.3.2：
Environmental and Health Concerns / 11.4：
Biosensing Applications Using Nanoparticles / 12：
Biosensors: A Definition / 12.1：
Uses of Gold Nanoparticles / 12.2：
Tailoring biointerfaces over gold nanoparticles / 12.2.1：
Biosensing applications of gold nanoparticles / 12.2.2：
Crosslinking-based biosensing / 12.2.2.1：
Non-crosslmking-based biosensing / 12.2.2.2：
Semiconductor Quantum Dots / 12.3：
Properties of quantum dots / 12.3.1：
Biosensing with quantum dots / 12.3.2：
Immunosensing / 12.3.2.1：
Dna assays / 12.3.2.2：
Resonance energy transfer-based assays / 12.3.2.3：
Outlook Remarks / 12.4：
Index
List of Figures
List of Tables
Preface
27.

図書
図書
27. 3D television (3DTV) technology, systems, and deployment : rolling out the infrastructure for next-generation entertainment (pbk.)
Daniel Minoli
出版情報: Boca Raton, Fla. : CRC Press, c2011  xiv, 302 p., [24] p. of plates ; 24 cm
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Preface
The Author
Introduction / Chapter 1：
Overview / 1.1：
Background and Opportunities / 1.2：
Course of Investigation / 1.3：
References
Bibliography
Some Basic Fundamentals of Visual Science / Chapter 2：
Stereo Vision Concepts / 2.1：
Stereoscopy / 2.1.1：
Binocular Depth Perception and Convergence / 2.1.2：
Cyclopean Image / 2.1.3：
Accommodation / 2.1.4：
Parallax Concepts / 2.2：
Parallax / 2.2.1：
Parallax Barrier and Lenticular Lenses / 2.2.2：
Other Concepts / 2.3：
Polarization / 2.3.1：
Chromostereopsis / 2.3.2：
3D Imaging / 2.3.3：
Occlusion and Scene Reconstruction / 2.3.4：
Conclusion / 2.4：
Analytical 3D Aspects of the Human Visual System / Appendix 2A：
Theory of Stereo Reproduction / 2A.1：
Analytics / 2A.2：
Depth Perception / 2A.2.1：
Geometry of Stereoscopic 3D Displays / 2A.2.2：
Geometry of Stereo Capturing / 2A.2.3：
Stereoscopic 3D Distortions / 2A.2.4：
Workflow of Conventional Stereo Production / 2A.3：
Basic Rules and Production Grammar / 2A.3.1：
Example / 2A.3.2：
Application of Visual Science Fundamentals to 3DTV / Chapter 3：
Application of the Science to 3D Projection/3DTV / 3.1：
Common Video Treatment Approaches / 3.1.1：
Projections Methods for Presenting Stereopairs / 3.1.2：
Polarization, Synchronization, and Colorimetrics / 3.1.3：
Autostereoscopic Viewing / 3.2：
Lenticular Lenses / 3.2.1：
Parallax Barriers / 3.2.2：
Other Longer-Term Systems / 3.3：
Multi-Viewpoint 3D Systems / 3.3.1：
Integral Imaging/Holoscopic Imaging / 3.3.2：
Holographic Approaches / 3.3.3：
Volumetric Displays/Hybrid Holographic / 3.3.4：
Viewer Physiological Issues with 3D Content / 3.4：
The Accommodation Problem / 3.4.1：
Infinity Separation / 3.4.2：
Conclusion and Requirements of Future 3DTV / 3.5：
Basic 3DTV Approaches for Content Capture and Mastering / Chapter 4：
General Capture, Mastering, and Distribution Process / 4.1：
3D Capture, Mastering, and Distribution Process / 4.2：
Content Acquisition / 4.2.1：
3D Mastering / 4.2.2：
Spatial Compression / 4.2.2.1：
Temporal Multiplexing / 4.2.2.2：
2D in Conjunction with Metadata (2D+M) / 4.2.2.3：
Color Encoding / 4.2.2.4：
Overview of Network Transport Approaches / 4.3：
MPEG Standardization Efforts / 4.4：
Additional Details on 3D Video Formats / Appendix 4A：
Conventional Stereo Video (CSV) / 4A.1：
Video plus Depth (V+D) / 4A.2：
Multiview Video plus Depth (MV+D) / 4A.3：
Layered Depth Video (LDV) / 4A.4：
3D Basic 3DTV Approaches and Technologies for In-Home Display of Content / Chapter 5：
Connecting the In-Home Source to the Display / 5.1：
3DTV Display Technology / 5.2：
Commercial Displays Based on Projection / 5.2.1：
Commercial Displays Based on LCD and PDP Technologies / 5.2.2：
LCD 3DTV Polarized Display / 5.2.3：
Summary of 3DTV Polarized Displays / 5.2.4：
Glasses Accessories / 5.2.5：
Other Display Technologies / 5.3：
Autostereoscopic Systems with Parallax Support in the Vertical and Horizontal Axes / 5.3.1：
Autostereoscopic Systems for PDAs / 5.3.2：
Primer on Cables/Connectivity for High-End Video / 5.4：
In-Home Connectivity Using Cables / 5A.1：
Digital Visual Interface (DVI) / 5A.1.1：
High-Definition Multimedia Interface" (HDMI") / 5A.1.2：
DisplayPort / 5A.1.3：
In-Home Connectivity Using Wireless Technology / 5A.2：
Wireless Gigabit Alliance / 5A.2.1：
WirelessHD / 5A.2.2：
Other Wireless / 5A.2.3：
3DTV Advocacy and System-Level Research Initiatives / Chapter 6：
3D Consortium (3DC) / 6.1：
3D@Home Consortium / 6.2：
3D Media Cluster / 6.3：
3DTV / 6.4：
Challenges and Players in the 3DTV Universe / 6.5：
European Information Society Technologies (IST) Project "Advanced Three-Dimensional Television System Technologies" (ATTEST) / 6.5.1：
3D Content Creation / 6.5.1.1：
3D Video Coding / 6.5.1.2：
Transmission / 6.5.1.3：
Virtual-View Generation and 3D Display / 6.5.1.4：
3DPhone / 6.5.2：
Mobile3DTV / 6.5.3：
Real3D / 6.5.4：
HELIUM3D (High Efficiency Laser Based Multi User Multi Modal 3D Display) / 6.5.5：
The MultiUser 3D Television Display (MUTED) / 6.5.6：
3D4YOU / 6.5.7：
3DPresence / 6.5.8：
Audio-Visual Content Search and Retrieval in a Distributed P2P Repository (Victory) / 6.5.9：
Victory in Automotive Industry / 6.5.9.1：
Victory in Game Industry / 6.5.9.2：
2020 3D Media / 6.5.10：
i3DPost / 6.5.11：
Glossary
Index
Preface
The Author
Introduction / Chapter 1：
28.

図書
図書
28. Data structures and algorithms using Python (: pbk)
Rance D. Necaise
出版情報: Hoboken, N.J. : Wiley, c2011  xviii, 520 p. ; 26 cm
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Abstract Data Types / Chapter 1：
Introduction / 1.1：
Abstractions / 1.1.1：
Data Structures / 1.1.2：
The Date ADT / 1.2：
Preconditions and Postconditions / 1.2.1：
Using the ADT / 1.2.2：
Implementing the ADT / 1.2.3：
The Bag ADT / 1.3：
Selecting a Data Structure / 1.3.1：
The Class Definition / 1.3.3：
Iterators / 1.4：
The Set ADT / 1.5：
The Map ADT / 1.5.1：
Defining the ADT / 1.6.1：
Implementing the Map ADT / 1.6.2：
Alternate Implementation / 1.6.3：
Application: Histograms / 1.7：
Building a Histogram / 1.7.1：
Implementing the Histogram ADT / 1.7.2：
Programming Problems
Arrays and Vectors / Chapter 2：
The Array Structure / 2.1：
Simulating an Array / 2.1.1：
The Array ADT / 2.1.2：
The Python List (Vector) / 2.1.3：
Multi-Dimensional Arrays / 2.3：
The MultiArray ADT / 2.3.1：
Data Organization / 2.3.2：
Variable Length Arguments / 2.3.3：
MultiArray Implementation / 2.3.4：
The Matrix ADT / 2.4：
Matrix Operations / 2.4.1：
Application: The Game of Life / 2.4.2：
Rules of the Game / 2.5.1：
Designing a Solution / 2.5.2：
ADT Implementation / 2.5.3：
Exercises
Algorithm Analysis / Chapter 3：
Complexity Analysis / 3.1：
Big-O Notation / 3.1.1：
Classes of Algorithms / 3.1.2：
Empirical Analysis / 3.1.3：
Evaluating ADT Implementations / 3.2：
Evaluating the Python List / 3.2.1：
Evaluating the Set ADT / 3.2.2：
Searching / 3.3：
Linear Search / 3.3.1：
Binary Search / 3.3.2：
Working with Ordered Lists / 3.4：
Building An Ordered List / 3.4.1：
Merging Ordered Lists / 3.4.2：
The Set ADT Revisited / 3.5：
Application: The Sparse Matrix / 3.6：
Implementation / 3.6.1：
Analysis / 3.6.2：
The Linked List / Chapter 4：
A Linked Structure / 4.1：
The Singly-Linked List / 4.2：
Basic Operations / 4.2.1：
Evaluating the Linked List / 4.2.2：
The Bag ADT Revisited / 4.3：
Implementation Details / 4.3.1：
Linked List Iterator / 4.3.2：
Using a Tail Pointer / 4.4：
The Ordered Linked List / 4.5：
The Sparse Matrix Revisited / 4.6：
The New Implementation / 4.6.1：
Comparing Implementations / 4.6.2：
Application: Polynomials / 4.7：
Polynomial Operations / 4.7.1：
The Polynomial ADT / 4.7.2：
Advanced Linked Lists / 4.7.3：
Doubly-Linked List / 5.1：
Organization / 5.1.1：
List Operations / 5.1.2：
Circular Linked List / 5.2：
Multi-Linked Lists / 5.2.1：
Multiple Chains / 5.3.1：
The Sparse Matrix / 5.3.2：
Complex Iterators / 5.4：
Application: Text Editor / 5.5：
Typical Editor Operations / 5.5.1：
The Edit Buffer ADT / 5.5.2：
Stacks / 5.5.3：
The Stack ADT / 6.1：
Implementing the Stack / 6.2：
Vector Based / 6.2.1：
Linked List Version / 6.2.2：
Stack Applications / 6.3：
Balanced Delimiters / 6.3.1：
Evaluating Postfix Expressions / 6.3.2：
Application: Solving a Maze / 6.4：
Backtracking / 6.4.1：
The Maze ADT / 6.4.2：
Queues / 6.4.4：
The Queue ADT / 7.1：
Implementing the Queue / 7.2：
Circular Array / 7.2.1：
The Priority Queue / 7.2.3：
Application: Computer Simulations / 7.4：
Airline Ticket Counter / 7.4.1：
Class Specifications / 7.4.2：
Hash Tables / Chapter 8：
Hash Functions / 8.1：
Open Addressing / 8.3：
Linear Probing / 8.3.1：
Collision Resolution / 8.3.2：
Bucket Hashing / 8.4：
Hashing Efficiency / 8.5：
The Map ADT Revisited / 8.6：
Application: The Color Histogram / 8.7：
Recursion / Chapter 9：
Recursive Functions / 9.1：
Properties of Recursion / 9.2：
Classic Example: The Factorial Function / 9.2.1：
Greatest Common Divisor / 9.2.2：
Recursion and Stacks / 9.3：
The Towers of Hanoi / 9.4：
Backtracking Revisited / 9.5：
The Eight-Queens Problem / 9.5.1：
Solving the Four-Queens / 9.5.2：
Recursive Solution / 9.5.3：
Application: Sudoku Puzzles / 9.6：
Binary Trees and Heaps / Chapter 10：
Tree Structure / 10.1：
The Binary Tree / 10.2：
Traversals / 10.2.1：
Arithmetic Expresssions / 10.2.2：
Tree Threading / 10.3：
Heaps / 10.4：
Insertions / 10.4.1：
Removals / 10.4.2：
Evaluating the Heap / 10.4.3：
The Priority Queue Revisited / 10.4.4：
Application: Morse Code / 10.5：
Advanced Search Trees / Chapter 11：
The Binary Search Tree / 11.1：
Deletions / 11.1.1：
Evaluating the BST / 11.1.4：
AVL Trees / 11.2：
Evaluating the AVL Tree / 11.2.1：
2-3 Trees / 11.3：
Splay Trees / 11.4：
Application: Improved Map ADT / 11.5：
Sorting Algorithms / Chapter 12：
The Simple Algorithms / 12.1：
Bubble Sort / 12.1.1：
Selection Sort / 12.1.2：
Insertion Sort / 12.1.3：
Radix Sort / 12.2：
Basic Algorithm / 12.2.1：
Bucket Sorting / 12.2.2：
Divide and Conquer / 12.3：
Merge Sort / 12.3.1：
Quick Sort / 12.3.2：
Heap Sort / 12.4：
Application: Empirical Analysis / 12.5：
Python Review / Appendix A：
Basic Concepts / A.1：
Functions / A.2：
Sequence Types / A.3：
Classes / A.4：
Copying Objects / A.5：
Exceptions / A.6：
Object-Oriented Programming / Appendix B：
Encapsulation / B.1：
Inheritance / B.3：
Polymorphism / B.4：
Abstract Data Types / Chapter 1：
Introduction / 1.1：
Abstractions / 1.1.1：
29.

電子ブック
ＥＢ
29. Local Bifurcations, Center Manifolds, and Normal Forms in Infinite-Dimensional Dynamical Systems
Mariana Haragus, Gérard Iooss, Gérard Iooss
出版情報: SpringerLink Books - AutoHoldings , Springer London, 2011
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Elementary Bifurcations / 1：
Bifurcations in Dimension 1 / 1.1：
Saddle-Node Bifurcation / 1.1.1：
Pitchfork Bifurcation / 1.1.2：
Bifurcations in Dimension 2 / 1.2：
Hopf Bifurcation / 1.2.1：
Example: Homogeneous Brusselator / 1.2.2：
Hopf Bifurcation with SO(2) Symmetry / 1.2.3：
Steady Bifurcation with O(2) Symmetry / 1.2.4：
Center Manifolds / 2：
Notations / 2.1：
Local Center Manifolds / 2.2：
Hypotheses / 2.2.1：
Main Result / 2.2.2：
Checking Hypothesis 2.7 / 2.2.3：
Examples / 2.2.4：
Particular Cases and Extensions / 2.3：
Parameter-Dependent Center Manifolds / 2.3.1：
Nonautonomous Center Manifolds / 2.3.2：
Symmetries and Reversibility / 2.3.3：
Empty Unstable Spectrum / 2.3.4：
Further Examples and Exercises / 2.4：
A Fourth Order ODE / 2.4.1：
Burgers Model / 2.4.2：
Swift-Hohenberg Equation / 2.4.3：
Brusselator Model / 2.4.4：
Elliptic PDE in a Strip / 2.4.5：
Normal Forms / 3：
Main Theorem / 3.1：
Proof of Theorem 1.2 / 3.1.1：
Parameter-Dependent Normal Forms / 3.1.2：
Linear Normal Forms / 3.2.1：
Derivation of the Parameter-Dependent Normal Form / 3.2.3：
Equivariant Vector Fields / 3.2.4：
Reversible Vector Fields / 3.3.2：
Example: van der Pol System / 3.3.3：
Normal Forms for Reduced Systems on Center Manifolds / 3.4：
Computation of Center Manifolds and Normal Forms / 3.4.1：
Example 1: Hopf Bifurcation / 3.4.2：
Example 2: Hopf Bifurcations with Symmetries / 3.4.3：
Example 3: Takens-Bogdanov Bifurcation / 3.4.4：
Further Normal Forms / 3.4.5：
Time-Periodic Normal Forms / 3.5.1：
Example: Periodically Forced Hopf Bifurcation / 3.5.2：
Normal Forms for Analytic Vector Fields / 3.5.3：
Reversible Bifurcations / 4：
Dimension 2 / 4.1：
Dimension 3 / 4.1.1：
Reversible 0(i?) Bifurcation (Elements) / 4.2.1：
Dimension 4 / 4.3：
Applications / 4.3.1：
Hydrodynamic Instabilities / 5.1：
Hydrodynamic Problem / 5.1.1：
Couette-Taylor Problem / 5.1.2：
Bénard-Rayleigh Convection Problem / 5.1.3：
Existence of Traveling Waves / 5.2：
Gravity-Capillary Water-Waves / 5.2.1：
Almost-Planar Waves in Reaction-Diffusion Systems / 5.2.2：
Waves in Lattices / 5.2.3：
Appendix
Elements of Functional Analysis / A：
Bounded and Closed Operators / A.1：
Resolvent and Spectrum / A.2：
Compact Operators and Operators with Compact Resolvent / A.3：
Adjoint Operator / A.4：
Fredholm Operators / A.5：
Basic Sobolev Spaces / A.6：
Proof of Theorem 2.9 (Center Manifolds) / B：
Proof of Theorem 2.17 (Semilinear Case) / B.2：
Proof of Theorem 3.9 (Nonautonomous Vector Fields) / B.3：
Proof of Theorem 3.13 (Equivariant Systems) / B.4：
Proof of Theorem 3.22 (Empty Unstable Spectrum) / B.5：
Proof of Theorem 2.2 (Perturbed Normal Forms) / C：
References / D：
Index
Elementary Bifurcations / 1：
Bifurcations in Dimension 1 / 1.1：
Saddle-Node Bifurcation / 1.1.1：
30.

電子ブック
ＥＢ
30. Powering Autonomous Sensors
María Teresa Penella-López, Manuel Gasulla-Forner, Maria Teresa Penella, María Teresa Penella-López
出版情報: SpringerLink Books - AutoHoldings , Springer Netherlands, 2011
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Introduction / 1：
Autonomous Sensors / 1.1：
Power Sources for Autonomous Sensors / 1.2：
Challenges / 1.3：
References
Load and Power Conditioning / 2：
Load / 2.1：
Sensors and Signal Conditioning / 2.1.1：
Microcontrollers / 2.1.2：
Transceiver / 2.1.3：
LoadModel / 2.1.4：
Power Conditioning / 2.2：
Linear Regulators / 2.2.1：
Switching Regulators / 2.2.2：
Charge Pumps / 2.2.3：
Control Strategy / 2.2.4：
Conclusions / 2.3：
Ambient Energy Sources / 3：
Radiant Energy / 3.1：
Optical Energy / 3.1.1：
Radiofrequency Energy / 3.1.2：
Mechanical Energy / 3.2：
Thermal Energy / 3.3：
Magnetic Energy / 3.4：
Biochemical Energy / 3.5：
Primary Batteries and Storage Elements / 3.6：
Batteries / 4.1：
General Characteristics / 4.1.1：
Batteries and Autonomous Sensors / 4.1.2：
Primary Batteries / 4.1.3：
Secondary Batteries / 4.1.4：
Battery Characterization / 4.2：
Proposed Approach / 4.2.1：
Materials and Methods / 4.2.2：
Experimental Results / 4.2.3：
Model Validation / 4.2.4：
Supercapacitors / 4.3：
Supercapacitor Characterization / 4.4：
Hybrid Systems / 4.4.1：
Problem Statement / 4.5.1：
Theoretical Analysis / 4.5.2：
Optical Energy Harvesting / 4.5.3：
Solar Cells / 5.1：
Pv Array Simulator / 5.2：
Direct-Coupled Circuits / 5.3：
Analysis / 5.3.1：
Mppt Circuits and Methods / 5.3.2：
Dc/dc Converters Based on Pfm Techniques / 5.4.1：
Locv Method / 5.4.2：
Efficiency / 5.5.1：
Experimental Characterization / 5.5.2：
Implementation and Time Response / 5.5.3：
Assigning Parameter Values / 5.5.4：
A Novel Closed-Loop Mppt Technique / 5.6：
Theoretical Approach / 5.6.1：
Implementation / 5.6.2：
Assigning the Parameter Values / 5.6.3：
Radiofrequency Energy Harvesting / 5.6.5：
Background / 6.1：
Antenna / 6.1.1：
Impedance Matching / 6.1.2：
Filters / 6.1.3：
Rectifier / 6.1.4：
Post-rectification Energy Conditioning / 6.1.5：
Radiofrequency Energy Harvesting for Autonomous Sensors / 6.1.6：
Simulations / 6.2：
Measurement Setup / 6.3：
Results / 6.3.2：
Introduction / 1：
Autonomous Sensors / 1.1：
Power Sources for Autonomous Sensors / 1.2：
31.

図書
図書
31. Carbon nanotubes : reinforced metal matrix composites
Arvind Agarwal, Srinivasa Rao Bakshi, Debrupa Lahiri
出版情報: Boca Raton : CRC, c2011  xx, 305 p. ; 25 cm
シリーズ名: Nanomaterials and their applications
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Foreword
Preface
Authors
List of Abbreviations
Introduction / 1：
Composite Materials / 1.1：
Development of Carbon Fibers / 1.2：
Carbon Nanotubes: Synthesis and Properties / 1.3：
Carbon Nanotube-Metal Matrix Composites / 1.4：
Chapter Highlights / 1.5：
References
Processing Techniques / 2：
Powder Metallurgy Routes / 2.1：
Conventional Sintering / 2.1.1：
Hot Pressing / 2.1.2：
Spark Plasma Sintering / 2.1.3：
Deformation Processing / 2.1.4：
Melt Processing / 2.2：
Casting / 2.2.1：
Melt Infiltration / 2.2.2：
Thermal Spraying / 2.3：
Plasma Spraying / 2.3.1：
High Velocity Oxy-Fuel Spraying / 2.3.2：
Cold Spraying / 2.3.3：
Electrochemical Routes / 2.4：
Novel Techniques / 2.5：
Molecular Level Mixing / 2.5.1：
Sputtering / 2.5.2：
Sandwich Processing / 2.5.3：
Torsion/Friction Processing / 2.5.4：
Chemical/Physical Vapor Deposition Techniques / 2.5.5：
Nanoscale Dispersion / 2.5.6：
Laser Deposition / 2.5.7：
Conclusion / 2.6：
Characterization of Metal Matrix-Carbon Nanotube Composites / 2.7：
X-Ray Diffraction / 3.1：
Raman Spectroscopy / 3.2：
Scanning Electron Microscopy with Energy Dispersive Spectroscopy / 3.3：
High Resolution Transmission Electron Microscopy / 3.4：
Electron Energy Loss Spectroscopy / 3.5：
X-Ray Photoelectron Spectroscopy / 3.6：
Mechanical Properties Evaluation / 3.7：
Nanoscale Mechanical Testing / 3.7.1：
Nano-Indentation / 3.7.1.1：
Nano Dynamic Modulus Analysis / 3.7.1.2：
Modulus Mapping / 3.7.1.3：
Nanoscratch / 3.7.1.4：
Macroscale/Bulk Mechanical Testing / 3.7.2：
Tensile/Compression Test / 3.7.2.1：
Tribological Property Evaluation / 3.7.2.2：
Thermal Properties / 3.8：
Electrical Properties / 3.9：
Electrochemical Properties / 3.10：
Metal-Carbon Nanotube Systems / 3.11：
Aluminum-Carbon Nanotube System / 4.1：
Copper-Carbon Nanotube System / 4.2：
Nickel-Carbon Nanotube System / 4.3：
Magnesium-Carbon Nanotube System / 4.4：
Other Metals-Carbon Nanotube Systems / 4.5：
Mechanics of Metal-Carbon Nanotube Systems / 4.6：
Elastic Modulus of Metal Matrix-Carbon Nanotube Composites / 5.1：
Modified Rule of Mixtures / 5.1.1：
Cox Model / 5.1.2：
Halpin-Tsai Model / 5.1.3：
Hashin-Shtrikman Model / 5.1.4：
Modified Eshelby Model / 5.1.5：
Dispersion-Based Model / 5.1.6：
Strengthening Mechanisms in Metal Matrix-Carbon Nanotube Composites / 5.2：
Shear Lag Models / 5.2.1：
Strengthening by Interphase / 5.2.2：
Strengthening by Carbon Nanotube Clusters / 5.2.3：
Halpin-Tsai Equations / 5.2.4：
Strengthening by Dislocations / 5.2.5：
Strengthening by Grain Refinement / 5.2.6：
Interfacial Phenomena in Carbon Nanotube Reinforced Metal Matrix Composites / 5.3：
Significance of Interfacial Phenomena / 6.1：
Energetics of Carbon Nanotube-Metal Interaction / 6.2：
Carbon Nanotube-Metal Interaction in Various Systems / 6.3：
Dispersion of Carbon Nanotubes in Metal Matrix / 6.4：
Significance of Carbon Nanotube Dispersion / 7.1：
Methods of Improving Carbon Nanotube Dispersion / 7.2：
Quantification of Carbon Nanotube Dispersion / 7.3：
Electrical, Thermal, Chemical, Hydrogen Storage, and Tribological Properties / 7.4：
Corrosion Properties / 8.1：
Hydrogen Storage Property / 8.4：
Sensors and Catalytic Properties / 8.5：
Tribological Properties / 8.6：
Computational Studies in Metal Matrix-Carbon Nanotube Composites / 8.7：
Thermodynamic Prediction of Carbon Nanotube-Metal Interface / 9.1：
Microstructure Simulation / 9.2：
Mechanical and Thermal Property Prediction by the Object-Oriented Finite Element Method / 9.3：
Summary and Future Directions / 9.4：
Summary of Research on MM-CNT Composites / 10.1：
Future Directions / 10.2：
Improvement in Quality of Carbon Nanotubes / 10.2.1：
Challenges Related to Processing / 10.2.2：
Aligned MM-CNT Composites / 10.2.3：
Understanding Mechanisms of Property Improvement / 10.2.4：
Environmental and Toxicity Aspects of MM-CNT Composites / 10.2.5：
Exploring Novel Applications / 10.2.6：
Index
Foreword
Preface
Authors
32.

電子ブック
ＥＢ
32. Materials Chemistry
Bradley D. Fahlman
出版情報: SpringerLink Books - AutoHoldings , Springer Netherlands, 2011
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Preface
What is Materials Chemistry? / Chapter 1：
Historical Perspectives / 1.1：
Considerations in the Design of New Materials / 1.2：
Design of New Materials Through a ôCritical Thinkingö Approach / 1.3：
Solid-State Chemistry / Chapter 2：
Amorphous vs. Crystalline Solids / 2.1：
Types of Bonding in Solids / 2.2：
Ionic Solids / 2.2.1：
Metallic Solids / 2.2.2：
Covalent Network Solids / 2.2.3：
Molecular Solids / 2.2.4：
The Crystalline State / 2.3：
Crystal Growth Techniques / 2.3.1：
Crystal Structures / 2.3.2：
Crystal Symmetry and Space Groups / 2.3.3：
X-Ray Diffraction from Crystalline Solids / 2.3.4：
Crystal Imperfections / 2.3.5：
Physical Properties of Crystals / 2.3.6：
Bonding in Crystalline Solids: Introduction to Band Theory / 2.3.7：
The Amorphous State / 2.4：
Sol-Gel Processing / 2.4.1：
Glasses / 2.4.2：
Cementitious Materials / 2.4.3：
Ceramics / 2.4.4：
Metals / Chapter 3：
Mining and Processing of Metals / 3.1：
Powder Metallurgy / 3.1.1：
Metallic Structures and Properties / 3.2：
Phase Behavior of Iron-Carbon Alloys / 3.2.1：
Hardening Mechanisms of Steels / 3.2.2：
Stainless Steels / 3.2.3：
Nonferrous Metals and Alloys / 3.2.4：
Metal Surface Treatments for Corrosion Resistance / 3.3：
Magnetism / 3.4：
Reversible Hydrogen Storage / 3.5：
Semiconductors / Chapter 4：
Properties and Types of Semiconductors / 4.1：
Silicon-Based Applications / 4.2：
Silicon Wafer Production / 4.2.1：
Integrated Circuits / 4.2.2：
Light-Emitting Diodes: There is Life Outside of Silicon! / 4.3：
Thermoelectric (Te) Materials / 4.4：
Polymeric Materials / Chapter 5：
Polymer Classifications and Nomenclature / 5.1：
Polymerization Mechanisms / 5.2：
Addition Polymerization / 5.2.1：
Heterogeneous Catalysis / 5.2.2：
Homogeneous Catalysis / 5.2.3：
Step-Growth Polymerization / 5.2.4：
Dendritic Polymers / 5.2.5：
Polymerization via ôClickö Chemistry / 5.2.6：
ôSoft Materialsö Applications: Structure vs. Properties / 5.3：
Biomaterials Applications / 5.3.1：
Conductive Polymers / 5.3.2：
Molecular Magnets / 5.3.3：
Polymer Additives / 5.4：
Flame Retardants / 5.4.1：
Nanomaterials / Chapter 6：
Nanotoxicity / 6.1：
What is ôNanotechnologyö? / 6.2：
Nanoscale Building Blocks and Applications / 6.3：
Zero-Dimensional Nanomaterials / 6.3.1：
One-Dimensional Nanostructures / 6.3.2：
Two-Dimensional Nanostructures: The ôGraphene Frontierö / 6.3.3：
Materials Characterization / Chapter 7：
Optical Microscopy / 7.1：
Electron Microscopy / 7.2：
Electron Sources / 7.2.1：
Transmission Electron Microscopy (TEM) / 7.2.2：
Scanning Electron Microscopy (SEM) / 7.2.3：
Surface Characterization Techniques Based on Particle Bombardment / 7.3：
Photoelectron Spectroscopy (PES) / 7.3.1：
X-ray Absorption Fine Structure (XAFS) / 7.3.2：
Ion-Bombardment Techniques / 7.3.3：
Atom-Probe Tomography (APT) / 7.3.4：
Scanning Probe Microscopy (SPM) / 7.4：
Bulk Characterization Techniques / 7.5：
Chemical Vapor Deposition of Carbon Nanotubes / Appendix A：
Background Information / C.1.1：
Procedure / C.1.2：
Supercritical Fluid Facilitated Growth of Copper and Aluminum Oxide NanopArticles / C.2：
Synthesis and Characterization of Liquid Crystals / C.2.1：
Template Synthesis and Magnetic Manipulation of Nickel Nanowires / C.3.1：
Introduction to Photolithography / C.4.1：
Synthesis of Gold Nanoclusters / C.5.1：
Synthesis of Porous Silicon / C.6.1：
Solid-Liquid-Solid (SLS) Growth of Silicon Nanowires / C.7.1：
Synthesis of Ferrofluids / C.8.1：
Metallurgy/Phase Transformations / C.10：
Heat Treatment of Glass Ceramics / C.11：
Index
Preface
What is Materials Chemistry? / Chapter 1：
Historical Perspectives / 1.1：
33.

電子ブック
ＥＢ
33. A Developer�fs Guide to the Semantic Web
Liyang Yu
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2011
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A Web of Data: Toward the Idea of the Semantic Web / 1：
A Motivating Example: Data Integration on the Web / 1.1：
A Smart Data Integration Agent / 1.1.1：
Is Smart Data Integration Agent Possible? / 1.1.2：
The Idea of the Semantic Web / 1.1.3：
A More General Goal: A Web Understandable to Machines / 1.2：
How Do We Use the Web? / 1.2.1：
What Stops Us from Doing More? / 1.2.2：
Again, the Idea of the Semantic Web / 1.2.3：
The Semantic Web: A First Look / 1.3：
The Concept of the Semantic Web / 1.3.1：
The Semantic Web, Linked Data, and the Web of Data / 1.3.2：
Some Basic Things About the Semantic Web / 1.3.3：
Reference
The Building Block for the Semantic Web: RDF / 2：
RDF Overview / 2.1：
RDF in Official Language / 2.1.1：
RDF in Plain English / 2.1.2：
The Abstract Model of RDF / 2.2：
The Big Picture / 2.2.1：
Statement / 2.2.2：
Resource and Its Uri Name / 2.2.3：
Predicate and Its Uri Name / 2.2.4：
RDF Triples: Knowledge That Machine Can Use / 2.2.5：
RDF Literals and Blank Node / 2.2.6：
A Summary So Far / 2.2.7：
RDF Serialization: RDF/XML Syntax / 2.3：
The Big Picture: RDF Vocabulary / 2.3.1：
Basic Syntax and Examples / 2.3.2：
Other RDF Capabilities and Examples / 2.3.3：
Other RDF Sterilization Formats / 2.4：
Notation-3,Turtle, and N-Triples / 2.4.1：
Turtle Language / 2.4.2：
Fundamental Rules of RDF / 2.5：
Information Understandable by Machine / 2.5.1：
Distributed Information Aggregation / 2.5.2：
A Hypothetical Real-World Example / 2.5.3：
More About RDF / 2.6：
Dublin Core: Example of Pre-defined RDF Vocabulary / 2.6.1：
XML vs RDF? / 2.6.2：
Use an RDF Validator / 2.6.3：
Summary / 2.7：
Other RDF-Related Technologies: Microformats, RDFa, and Grddl / 3：
Introduction: Why Do We Need These? / 3.1：
Microformats / 3.2：
Microformats: The Big Picture / 3.2.1：
Microformats: Syntax and Examples / 3.2.2：
Microformats and RDF / 3.2.3：
RDFa / 3.3：
RDFa: The Big Picture / 3.3.1：
RDFa Attributes and RDFa Elements / 3.3.2：
RDFa: Rules and Examples / 3.3.3：
RDFa and RDF / 3.3.4：
Grddl / 3.4：
Grdll: The Big Picture / 3.4.1：
Using Grdll with Microformats / 3.4.2：
Using Grdll with RDFa / 3.4.3：
RDFs and Ontology / 3.5：
RDdfs Overview / 4.1：
RDFs in Plain English / 4.1.1：
RDFs in Official Language / 4.1.2：
RDFs + RDF: One More Step Toward Machine Readable / 4.2：
A Common Language to Share / 4.2.1：
Machine Inferencing Based on RDFs / 4.2.2：
RDFs Core Elements / 4.3：
The Big Picture: RDFs Vocabulary / 4.3.1：
Summary So Far / 4.3.2：
The Concept of Ontology / 4.4：
What Is Ontology? / 4.4.1：
The Benefits of Ontology / 4.4.2：
Building the Bridge to Ontology: Skos / 4.5：
Knowledge Organization Systems (Kos) / 4.5.1：
Thesauri vs. Ontologies / 4.5.2：
Filling the Gap: Skos / 4.5.3：
Another Look at Inferencing Based on RDF Schema / 4.6：
RDFs Ontology-Based Reasoning: Simple, Yet Powerful / 4.6.1：
Good, Better, and Best: More Is Needed / 4.6.2：
Owl: Web Ontology Language / 4.7：
OWL Overview / 5.1：
OWL in Plain English / 5.1.1：
OWL in Official Language: Owl 1 and Owl 2 / 5.1.2：
From Owl 1 to Owl 2 / 5.1.3：
Owl 1 and Owl 2: The Big Picture / 5.2：
Basic Notions: Axiom, Entity, Expression, and Idi Names / 5.2.1：
Basic Syntax Forms: Functional Style, RDF/XML Syntax, Manchester Syntax, and XML Syntax / 5.2.2：
Owl 1 Web Ontology Language / 5.3：
Defining Classes: The Basics / 5.3.1：
Defining Glasses: Localizing Global Properties / 5.3.2：
Defining Classes: Using Set Operators / 5.3.3：
Defining Classes: Using Enumeration Equivalent, and Disjoint / 5.3.4：
Our Camera Ontology So Far / 5.3.5：
Define Properties: The Basics / 5.3.6：
Defining Properties: Property Characteristics / 5.3.7：
Camera Ontology Written Using Owl 1 / 5.3.8：
Owl 2 Web Ontology Language / 5.4：
What Is New in Owl 2? / 5.4.1：
New Constructs for Common Patterns / 5.4.2：
Improved Expressiveness for Properties / 5.4.3：
Extended Support for Datatypes / 5.4.4：
Punning and Annotations / 5.4.5：
Other Owl 2 Features / 5.4.6：
Owl Constructs in Instance Documents / 5.4.7：
Owl 2 Profiles / 5.4.8：
Our Camera Ontology in Owl 2 / 5.4.9：
Sparql: Querying the Semantic Web / 5.5：
Sparql Overvie / 6.1：
Sparql in Official Language / 6.1.1：
Sparql in Plain English / 6.1.2：
Other Related Concepts: RDF Data Store, RDF Database, and Triple Store / 6.1.3：
Set up Joseki Sparql Endpoint / 6.2：
Sparql Query Language / 6.3：
Select Query / 6.3.1：
Construct Query / 6.3.3：
Describe Query / 6.3.4：
Ask Query / 6.3.5：
What Is Missing from Sparql? / 6.4：
SPARQL 1.1 / 6.5：
Introduction: What Is New? / 6.5.1：
Sparql 1.1 Query / 6.5.2：
Sparql 1.1 Update / 6.5.3：
Foff: Friend of a Friend / 6.6：
What Is Foaf and What It Does / 7.3：
Foaf in Plain English / 7.1.1：
Foaf in Official Language / 7.1.2：
Core Foaf Vocabulary and Examples / 7.2：
The Big Picture: Foaf Vocabulary / 7.2.1：
Core Terms and Examples / 7.2.2：
Create Your Foaf Document and Get into the Friend Circle
How Does the Circle Work? / 7.3.1：
Create Your Foaf Document / 7.3.2：
Get into the Circle: Publish Your Foaf Document / 7.3.3：
From Web Pages for Human Eyes to Web Pages for Machines / 7.3.4：
Semantic Markup: a Connection Between the Two Worlds / 7.4：
What Is Semantic Markup / 7.4.1：
Semantic Markup: Procedure and Example / 7.4.2：
Semantic Markup: Feasibility and Different Approaches / 7.4.3：
Semantic Markup at Work: Rich Snippets and SearchMonkey / 7.5：
Introduction / 8.1：
Prerequisite: How Does a Search Engine Work? / 8.1.1：
Rich Snippets and SearchMonkey / 8.1.2：
Rich Snippets by Google / 8.2：
What Is Rich Snippets: An Example / 8.2.1：
How Does It Work: Semantic Markup Using Microformats RDFa / 8.2.2：
Test It Out Yourself / 8.2.3：
SearchMonkey from Yahoo! / 8.3：
What Is SearchMonkey: An Example / 8.3.1：
How Does It Work: Semantic Markup Using Microformats/RDFa / 8.3.2：
Semantic Wiki / 8.3.3：
Introduction: From Wiki to Semantic Wiki / 9.1：
What Is a Wiki? / 9.1.1：
From Wiki to Semantic Wiki / 9.1.2：
Adding Semantics to Wiki Site / 9.2：
Namespace and Category System / 9.2.1：
Semantic Annotation in Semantic MediaWiki / 9.2.2：
Using the Added Semantics / 9.3：
Browsing / 9.3.1：
Wiki Site Semantic Search / 9.3.2：
Inferencing / 9.3.3：
Where Is the Semantics? / 9.4：
Swivt: an Upper Ontology for Semantic Wiki / 9.4.1：
Understanding Owl/RDF Exports / 9.4.2：
Importing Ontology: a Bridge to Outside World / 9.4.3：
The Power of the Semantic Web / 9.5：
Use Semantic MediaWiki to Build Your Own Semantic Wiki / 9.6：
DBpedia / 9.7：
Introduction to DBpedia / 10.1：
From Manual Markup to Automatic Generation of Annotation / 10.1.1：
From Wikipedia to DBpedia / 10.1.2：
The Look and Feel of DBpedia: Page Redirect / 10.1.3：
Semantics in DBpedia / 10.2：
Infobox Template / 10.2.1：
Creating DBpedia Ontology / 10.2.2：
Infobox Extraction Methods / 10.2.3：
Accessing DBpedia Dataset / 10.3：
Using Sparql to Query DBpedia / 10.3.1：
Direct Download of DBpedia Datasets / 10.3.2：
Access DBpedia as Linked Data / 10.3.3：
Linked Open Data / 10.4：
The Concept of Linked Data and Its Basic Rules / 11.1：
The Concept of Linked Data / 11.1.1：
How Big Is the Web of Linked Data and the Lod Project / 11.1.2：
The Basic Rules of Linked Data / 11.1.3：
Publishing RDF Data on the Web / 11.2：
Identifying Things with Uris / 11.2.1：
Choosing Vocabularies for RDF Data / 11.2.2：
Creating Links to Other RDF Data / 11.2.3：
Serving Information as Linked Data / 11.2.4：
The Consumption of Linked Data / 11.3：
Discover Specific Target on the Linked Data Web / 11.3.1：
Accessing the Web of Linked Data / 11.3.2：
Linked Data Application / 11.4：
Linked Data Application Example: Revyu / 11.4.1：
Web 2.0 Mashups vs. Linked Data Mashups / 11.4.2：
Building the Foundation for Development on the Semantic Web / 11.5：
Development Tools for the Semantic Web / 12.1：
Frameworks for the Semantic Web Applications / 12.1.1：
Reasoners for the Semantic Web Applications / 12.1.2：
Ontology Engineering Environments / 12.1.3：
Other Tools: Search Engines for the Semantic Web / 12.1.4：
Where to Find More? / 12.1.5：
Semantic Web Application Development Methodology / 12.2：
From Domain Models to Ontology-Driven Architecture / 12.2.1：
An Ontology Development Methodology Proposed by Noy and McGuinness / 12.2.2：
Jena: A Framework for Development on the Semantic Web / 12.3：
Jena: A Semantic Web Framework for Java / 13.1：
What Is Jena and What It Can Do for Us? / 13.1.1：
Getting Jena Package / 13.1.2：
Using Jena in Your Projects / 13.1.3：
Basic RDF Model Operations / 13.2：
Creating an RDF Model / 13.2.1：
Reading an RDF Model / 13.2.2：
Understanding an RDF Model / 13.2.3：
Handling Persistent RDF Models / 13.3：
From In-memory Model to Persistent Model / 13.3.1：
Setting Up MySql / 13.3.2：
Database-Backed RDF Models / 13.3.3：
Inferencing Using Jena / 13.4：
Jena Inferencing Model / 13.4.1：
Jena Inferencing Examples / 13.4.2：
Follow Your Nose: A Basic Semantic Web Agent / 13.5：
The Principle of Follow-Your-Nose Method / 14.1：
What Is Follow-Your-Nose Method? / 14.1.1：
Uri Declarations, Open Linked Data and Follow-Your-Nose Method / 14.1.2：
A Follow-Your-Nose Agent in Java / 14.2：
Building the Agent / 14.2.1：
Running the Agent / 14.2.2：
More Clues for Follow Your Nose / 14.2.3：
Can You Follow Your Nose on Traditional Web? / 14.2.4：
A Better Implementation of Follow-Your-Nose Agent: Using Sparql Queries / 14.3：
In-memory SPARQL Operation / 14.3.1：
Using SPARQL Endpoints Remotely / 14.3.2：
More Application Examples on the Semantic Web / 14.4：
Building Your Circle of Trust: A FOAF Agent You Can Use / 15.1：
Who Is on Your E-mail List? / 15.1.1：
The Basic Idea / 15.1.2：
Building the EmailAddressCollector Agent / 15.1.3：
Can You Do the Same for Traditional Web? / 15.1.4：
A ShopBot on the Semantic Web / 15.2：
A ShopBot We Can Have / 15.2.1：
A ShopBot We Really Want / 15.2.2：
Building Our ShopBot / 15.2.3：
Discussion: From Prototype to Reality / 15.2.4：
Index / 15.3：
A Web of Data: Toward the Idea of the Semantic Web / 1：
A Motivating Example: Data Integration on the Web / 1.1：
A Smart Data Integration Agent / 1.1.1：
34.

電子ブック
ＥＢ
34. A Developer’s Guide to the Semantic Web
Liyang Yu
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
所蔵情報: loading…
目次情報: 続きを見る
A Web of Data: Toward the Idea of the Semantic Web / 1：
A Motivating Example: Data Integration on the Web / 1.1：
A Smart Data Integration Agent / 1.1.1：
Is Smart Data Integration Agent Possible? / 1.1.2：
The Idea of the Semantic Web / 1.1.3：
A More General Goal: A Web Understandable to Machines / 1.2：
How Do We Use the Web? / 1.2.1：
What Stops Us from Doing More? / 1.2.2：
Again, the Idea of the Semantic Web / 1.2.3：
The Semantic Web: A First Look / 1.3：
The Concept of the Semantic Web / 1.3.1：
The Semantic Web, Linked Data, and the Web of Data / 1.3.2：
Some Basic Things About the Semantic Web / 1.3.3：
Reference
The Building Block for the Semantic Web: RDF / 2：
RDF Overview / 2.1：
RDF in Official Language / 2.1.1：
RDF in Plain English / 2.1.2：
The Abstract Model of RDF / 2.2：
The Big Picture / 2.2.1：
Statement / 2.2.2：
Resource and Its Uri Name / 2.2.3：
Predicate and Its Uri Name / 2.2.4：
RDF Triples: Knowledge That Machine Can Use / 2.2.5：
RDF Literals and Blank Node / 2.2.6：
A Summary So Far / 2.2.7：
RDF Serialization: RDF/XML Syntax / 2.3：
The Big Picture: RDF Vocabulary / 2.3.1：
Basic Syntax and Examples / 2.3.2：
Other RDF Capabilities and Examples / 2.3.3：
Other RDF Sterilization Formats / 2.4：
Notation-3,Turtle, and N-Triples / 2.4.1：
Turtle Language / 2.4.2：
Fundamental Rules of RDF / 2.5：
Information Understandable by Machine / 2.5.1：
Distributed Information Aggregation / 2.5.2：
A Hypothetical Real-World Example / 2.5.3：
More About RDF / 2.6：
Dublin Core: Example of Pre-defined RDF Vocabulary / 2.6.1：
XML vs RDF? / 2.6.2：
Use an RDF Validator / 2.6.3：
Summary / 2.7：
Other RDF-Related Technologies: Microformats, RDFa, and Grddl / 3：
Introduction: Why Do We Need These? / 3.1：
Microformats / 3.2：
Microformats: The Big Picture / 3.2.1：
Microformats: Syntax and Examples / 3.2.2：
Microformats and RDF / 3.2.3：
RDFa / 3.3：
RDFa: The Big Picture / 3.3.1：
RDFa Attributes and RDFa Elements / 3.3.2：
RDFa: Rules and Examples / 3.3.3：
RDFa and RDF / 3.3.4：
Grddl / 3.4：
Grdll: The Big Picture / 3.4.1：
Using Grdll with Microformats / 3.4.2：
Using Grdll with RDFa / 3.4.3：
RDFs and Ontology / 3.5：
RDdfs Overview / 4.1：
RDFs in Plain English / 4.1.1：
RDFs in Official Language / 4.1.2：
RDFs + RDF: One More Step Toward Machine Readable / 4.2：
A Common Language to Share / 4.2.1：
Machine Inferencing Based on RDFs / 4.2.2：
RDFs Core Elements / 4.3：
The Big Picture: RDFs Vocabulary / 4.3.1：
Summary So Far / 4.3.2：
The Concept of Ontology / 4.4：
What Is Ontology? / 4.4.1：
The Benefits of Ontology / 4.4.2：
Building the Bridge to Ontology: Skos / 4.5：
Knowledge Organization Systems (Kos) / 4.5.1：
Thesauri vs. Ontologies / 4.5.2：
Filling the Gap: Skos / 4.5.3：
Another Look at Inferencing Based on RDF Schema / 4.6：
RDFs Ontology-Based Reasoning: Simple, Yet Powerful / 4.6.1：
Good, Better, and Best: More Is Needed / 4.6.2：
Owl: Web Ontology Language / 4.7：
OWL Overview / 5.1：
OWL in Plain English / 5.1.1：
OWL in Official Language: Owl 1 and Owl 2 / 5.1.2：
From Owl 1 to Owl 2 / 5.1.3：
Owl 1 and Owl 2: The Big Picture / 5.2：
Basic Notions: Axiom, Entity, Expression, and Idi Names / 5.2.1：
Basic Syntax Forms: Functional Style, RDF/XML Syntax, Manchester Syntax, and XML Syntax / 5.2.2：
Owl 1 Web Ontology Language / 5.3：
Defining Classes: The Basics / 5.3.1：
Defining Glasses: Localizing Global Properties / 5.3.2：
Defining Classes: Using Set Operators / 5.3.3：
Defining Classes: Using Enumeration Equivalent, and Disjoint / 5.3.4：
Our Camera Ontology So Far / 5.3.5：
Define Properties: The Basics / 5.3.6：
Defining Properties: Property Characteristics / 5.3.7：
Camera Ontology Written Using Owl 1 / 5.3.8：
Owl 2 Web Ontology Language / 5.4：
What Is New in Owl 2? / 5.4.1：
New Constructs for Common Patterns / 5.4.2：
Improved Expressiveness for Properties / 5.4.3：
Extended Support for Datatypes / 5.4.4：
Punning and Annotations / 5.4.5：
Other Owl 2 Features / 5.4.6：
Owl Constructs in Instance Documents / 5.4.7：
Owl 2 Profiles / 5.4.8：
Our Camera Ontology in Owl 2 / 5.4.9：
Sparql: Querying the Semantic Web / 5.5：
Sparql Overvie / 6.1：
Sparql in Official Language / 6.1.1：
Sparql in Plain English / 6.1.2：
Other Related Concepts: RDF Data Store, RDF Database, and Triple Store / 6.1.3：
Set up Joseki Sparql Endpoint / 6.2：
Sparql Query Language / 6.3：
Select Query / 6.3.1：
Construct Query / 6.3.3：
Describe Query / 6.3.4：
Ask Query / 6.3.5：
What Is Missing from Sparql? / 6.4：
SPARQL 1.1 / 6.5：
Introduction: What Is New? / 6.5.1：
Sparql 1.1 Query / 6.5.2：
Sparql 1.1 Update / 6.5.3：
Foff: Friend of a Friend / 6.6：
What Is Foaf and What It Does / 7.3：
Foaf in Plain English / 7.1.1：
Foaf in Official Language / 7.1.2：
Core Foaf Vocabulary and Examples / 7.2：
The Big Picture: Foaf Vocabulary / 7.2.1：
Core Terms and Examples / 7.2.2：
Create Your Foaf Document and Get into the Friend Circle
How Does the Circle Work? / 7.3.1：
Create Your Foaf Document / 7.3.2：
Get into the Circle: Publish Your Foaf Document / 7.3.3：
From Web Pages for Human Eyes to Web Pages for Machines / 7.3.4：
Semantic Markup: a Connection Between the Two Worlds / 7.4：
What Is Semantic Markup / 7.4.1：
Semantic Markup: Procedure and Example / 7.4.2：
Semantic Markup: Feasibility and Different Approaches / 7.4.3：
Semantic Markup at Work: Rich Snippets and SearchMonkey / 7.5：
Introduction / 8.1：
Prerequisite: How Does a Search Engine Work? / 8.1.1：
Rich Snippets and SearchMonkey / 8.1.2：
Rich Snippets by Google / 8.2：
What Is Rich Snippets: An Example / 8.2.1：
How Does It Work: Semantic Markup Using Microformats RDFa / 8.2.2：
Test It Out Yourself / 8.2.3：
SearchMonkey from Yahoo! / 8.3：
What Is SearchMonkey: An Example / 8.3.1：
How Does It Work: Semantic Markup Using Microformats/RDFa / 8.3.2：
Semantic Wiki / 8.3.3：
Introduction: From Wiki to Semantic Wiki / 9.1：
What Is a Wiki? / 9.1.1：
From Wiki to Semantic Wiki / 9.1.2：
Adding Semantics to Wiki Site / 9.2：
Namespace and Category System / 9.2.1：
Semantic Annotation in Semantic MediaWiki / 9.2.2：
Using the Added Semantics / 9.3：
Browsing / 9.3.1：
Wiki Site Semantic Search / 9.3.2：
Inferencing / 9.3.3：
Where Is the Semantics? / 9.4：
Swivt: an Upper Ontology for Semantic Wiki / 9.4.1：
Understanding Owl/RDF Exports / 9.4.2：
Importing Ontology: a Bridge to Outside World / 9.4.3：
The Power of the Semantic Web / 9.5：
Use Semantic MediaWiki to Build Your Own Semantic Wiki / 9.6：
DBpedia / 9.7：
Introduction to DBpedia / 10.1：
From Manual Markup to Automatic Generation of Annotation / 10.1.1：
From Wikipedia to DBpedia / 10.1.2：
The Look and Feel of DBpedia: Page Redirect / 10.1.3：
Semantics in DBpedia / 10.2：
Infobox Template / 10.2.1：
Creating DBpedia Ontology / 10.2.2：
Infobox Extraction Methods / 10.2.3：
Accessing DBpedia Dataset / 10.3：
Using Sparql to Query DBpedia / 10.3.1：
Direct Download of DBpedia Datasets / 10.3.2：
Access DBpedia as Linked Data / 10.3.3：
Linked Open Data / 10.4：
The Concept of Linked Data and Its Basic Rules / 11.1：
The Concept of Linked Data / 11.1.1：
How Big Is the Web of Linked Data and the Lod Project / 11.1.2：
The Basic Rules of Linked Data / 11.1.3：
Publishing RDF Data on the Web / 11.2：
Identifying Things with Uris / 11.2.1：
Choosing Vocabularies for RDF Data / 11.2.2：
Creating Links to Other RDF Data / 11.2.3：
Serving Information as Linked Data / 11.2.4：
The Consumption of Linked Data / 11.3：
Discover Specific Target on the Linked Data Web / 11.3.1：
Accessing the Web of Linked Data / 11.3.2：
Linked Data Application / 11.4：
Linked Data Application Example: Revyu / 11.4.1：
Web 2.0 Mashups vs. Linked Data Mashups / 11.4.2：
Building the Foundation for Development on the Semantic Web / 11.5：
Development Tools for the Semantic Web / 12.1：
Frameworks for the Semantic Web Applications / 12.1.1：
Reasoners for the Semantic Web Applications / 12.1.2：
Ontology Engineering Environments / 12.1.3：
Other Tools: Search Engines for the Semantic Web / 12.1.4：
Where to Find More? / 12.1.5：
Semantic Web Application Development Methodology / 12.2：
From Domain Models to Ontology-Driven Architecture / 12.2.1：
An Ontology Development Methodology Proposed by Noy and McGuinness / 12.2.2：
Jena: A Framework for Development on the Semantic Web / 12.3：
Jena: A Semantic Web Framework for Java / 13.1：
What Is Jena and What It Can Do for Us? / 13.1.1：
Getting Jena Package / 13.1.2：
Using Jena in Your Projects / 13.1.3：
Basic RDF Model Operations / 13.2：
Creating an RDF Model / 13.2.1：
Reading an RDF Model / 13.2.2：
Understanding an RDF Model / 13.2.3：
Handling Persistent RDF Models / 13.3：
From In-memory Model to Persistent Model / 13.3.1：
Setting Up MySql / 13.3.2：
Database-Backed RDF Models / 13.3.3：
Inferencing Using Jena / 13.4：
Jena Inferencing Model / 13.4.1：
Jena Inferencing Examples / 13.4.2：
Follow Your Nose: A Basic Semantic Web Agent / 13.5：
The Principle of Follow-Your-Nose Method / 14.1：
What Is Follow-Your-Nose Method? / 14.1.1：
Uri Declarations, Open Linked Data and Follow-Your-Nose Method / 14.1.2：
A Follow-Your-Nose Agent in Java / 14.2：
Building the Agent / 14.2.1：
Running the Agent / 14.2.2：
More Clues for Follow Your Nose / 14.2.3：
Can You Follow Your Nose on Traditional Web? / 14.2.4：
A Better Implementation of Follow-Your-Nose Agent: Using Sparql Queries / 14.3：
In-memory SPARQL Operation / 14.3.1：
Using SPARQL Endpoints Remotely / 14.3.2：
More Application Examples on the Semantic Web / 14.4：
Building Your Circle of Trust: A FOAF Agent You Can Use / 15.1：
Who Is on Your E-mail List? / 15.1.1：
The Basic Idea / 15.1.2：
Building the EmailAddressCollector Agent / 15.1.3：
Can You Do the Same for Traditional Web? / 15.1.4：
A ShopBot on the Semantic Web / 15.2：
A ShopBot We Can Have / 15.2.1：
A ShopBot We Really Want / 15.2.2：
Building Our ShopBot / 15.2.3：
Discussion: From Prototype to Reality / 15.2.4：
Index / 15.3：
A Web of Data: Toward the Idea of the Semantic Web / 1：
A Motivating Example: Data Integration on the Web / 1.1：
A Smart Data Integration Agent / 1.1.1：
35.

図書
図書
35. Hedge fund modelling and analysis using Excel and VBA (: hardback)
Paul Darbyshire and David Hampton
出版情報: Chichester, West Sussex : Wiley, 2011  xv, 261 p. ; 24 cm
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Preface
The Hedge Fund Industry / 1：
What Are Hedge Funds? / 1.1：
The Structure of a Hedge Fund / 1.2：
Fund Administrators / 1.2.1：
Prime Brokers / 1.2.2：
Custodian, Auditors and Legal / 1.2.3：
The Global Hedge Fund Industry / 1.3：
North America / 1.3.1：
Europe / 1.3.2：
Asia / 1.3.3：
Specialist Investment Techniques / 1.4：
Short Selling / 1.4.1：
Leverage / 1.4.2：
Liquidity / 1.4.3：
New Developments for Hedge Funds / 1.5：
UCITS III Hedge Funds / 1.5.1：
The European Passport / 1.5.2：
Restrictions on Short Selling / 1.5.3：
Major Hedge Fund Strategies / 2：
Single and Multi Strategy Hedge Funds / 2.1：
Fund of Hedge Funds / 2.2：
Hedge Fund Strategies / 2.3：
Tactical Strategies / 2.3.1：
Global Macro / 2.3.1.1：
Managed Futures / 2.3.1.2：
Long/Short Equity / 2.3.1.3：
Pairs Trading / 2.3.1.4：
Event-Driven / 2.3.2：
Distressed Securities / 2.3.2.1：
Merger Arbitrage / 2.3.2.2：
Relative Value / 2.3.3：
Equity Market Neutral / 2.3.3.1：
Convertible Arbitrage / 2.3.3.2：
Fixed Income Arbitrage / 2.3.3.3：
Capital Structure Arbitrage / 2.3.3.3.1：
Swap-Spread Arbitrage / 2.3.3.3.2：
Yield CurveArbitrage / 2.3.3.3.3：
Hedge Fund Data Sources / 3：
Hedge Fund Databases / 3.1：
Major Hedge Fund Indices / 3.2：
Non investable and Investable Indices / 3.2.1：
Dow Jones Credit Suisse Hedge Fund Indexes / 3.2.2：
Liquid Alternative Betas / 3.2.2.1：
Hedge Fund Research / 3.2.3：
Hedge Fund net / 3.2.4：
FTSE Hedge / 3.2.5：
FTSE Hedge Momentum Index / 3.2.5.1：
Greenwich Alternative Investments / 3.2.6：
GAI Investable Indices / 3.2.6.1：
Morningstar Alternative Investment Center / 3.2.7：
MSCI Hedge Fund Classification Standard / 3.2.7.1：
MSCI Investable Indices / 3.2.7.2：
EDHEC Risk and Asset Management Research Centre (www.edhec-risk.com) / 3.2.8：
Database and Index Biases / 3.3：
Survivorship Bias / 3.3.1：
Instant History Bias / 3.3.2：
Benchmarking / 3.4：
Tracking Error / 3.4.1：
Weighting Schemes / Appendix A：
Statistical Analysis / 4：
Basic Performance Plots / 4.1：
Value Added Monthly Index / 4.1.1：
Histograms / 4.1.2：
Probability Distributions / 4.2：
Populations and Samples / 4.2.1：
Probability Density Function / 4.3：
Cumulative Distribution Function / 4.4：
The Normal Distribution / 4.5：
Standard Normal Distribution / 4.5.1：
Visual Tests for Normality / 4.6：
Inspection / 4.6.1：
Normal Q-Q Plot / 4.6.2：
Moments of a Distribution / 4.7：
Mean and Standard Deviation / 4.7.1：
Skewness / 4.7.2：
Excess Kurtosis / 4.7.3：
Data Analysis Tool: Descriptive Statistics / 4.7.4：
Geometric Brownian Motion / 4.8：
Uniform Random Numbers / 4.8.1：
Covariance and Correlation / 4.9：
Regression Analysis / 4.10：
Ordinary Least Squares / 4.10.1：
Coefficient of Determination / 4.10.1.1：
Residual Plots / 4.10.1.2：
Jarque-Bera Normality Test / 4.10.1.3：
Data Analysis Tool: Regression / 4.10.1.4：
Portfolio Theory / 4.11：
Mean Variance Analysis / 4.11.1：
Solver: Portfolio Optimisation / 4.11.2：
Efficient Portfolios / 4.11.3：
Risk-Adjusted Return Metrics / 5：
The Intuition behind Risk Adjusted Returns / 5.1：
Risk Adjusted Returns / 5.1.1：
Common Risk Adjusted Performance Ratios / 5.2：
The Sharpe Ratio / 5.2.1：
The Modified Sharpe Ratio / 5.2.2：
The Sortino Ratio / 5.2.3：
The Drawdown Ratio / 5.2.4：
Common Performance Measures in the Presence of a Market Benchmark / 5.3：
The Information Ratio / 5.3.1：
The M Squared Metric / 5.3.2：
The Treynor Ratio / 5.3.3：
Jensen's Alpha / 5.3.4：
The Omega Ratio / 5.4：
Asset Pricing Models / 6：
The Risk Adjusted Two Moment Capital Asset Pricing Model / 6.1：
Interpreting H / 6.1.1：
Static Alpha Analysis / 6.1.2：
Dynamic Rolling Alpha Analysis / 6.1.3：
Multi factor Models / 6.2：
The Choice of Factors / 6.3：
A Multi Factor Framework for a Risk Adjusted Hedge Fund Alpha League Table / 6.3.1：
Alpha and Beta Separation / 6.3.2：
Dynamic Style Based Return Analysis / 6.4：
The Markowitz Risk Adjusted Evaluation Method / 6.5：
Hedge Fund Market Risk Management / 7：
Value at Risk / 7.1：
Traditional Measures / 7.2：
Historical Simulation / 7.2.1：
Parametric Method / 7.2.2：
Monte Carlo Simulation / 7.2.3：
Modified Var / 7.3：
Expected Shortfall / 7.4：
Extreme Value Theory / 7.5：
Block Maxima / 7.5.1：
Peaks over Threshold / 7.5.2：
References
Important Legal Information
Index
Preface
The Hedge Fund Industry / 1：
What Are Hedge Funds? / 1.1：
36.

図書
図書
36. Dependability in electronic systems : mitigation of hardware failures, soft errors, and electro-magnetic disturbances
Nobuyasu Kanekawa ... [et al.]
出版情報: New York : Springer, c2011  xxv, 204 p. ; 25 cm
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Introduction / 1：
Trends in Failure Cause and Countermeasure / 1.1：
Contents and Organization of This Book / 1.2：
For the Best Result / 1.3：
References
Terrestrial Neutron-Induced Failures in Semiconductor Devices and Relevant Systems and Their Mitigation Techniques / 2：
SER in Memory Devices / 2.1：
MCU in Memory Devices / 2.1.2：
SET and MNU in Logic Devices / 2.1.3：
Chip/System-Level SER Problem: SER Estimation and Mitigation / 2.1.4：
Scope of This Chapter / 2.1.5：
Basic Knowledge on Terrestrial Neutron-Induced Soft-Error in MOSFET Devices / 2.2：
Cosmic Rays from the Outer Space / 2.2.1：
Nuclear Spallation Reaction and Charge Collection in CMOSFET Device / 2.2.2：
Experimental Techniques to Quantify Soft-Error Rate (SER) and Their Standardization / 2.3：
The System to Quantify SER - SECIS / 2.3.1：
Basic Method in JESD89A / 2.3.2：
SEE Classification Techniques in Time Domain / 2.3.3：
MCU Classification Techniques in Topological Space Domain / 2.3.4：
Evolution of Multi-node Upset Problem / 2.4：
MCU Characterization by Accelerator-Based Experiments / 2.4.1：
Multi-coupled Bipolar Interaction (MCBI) / 2.4.2：
Simulation Techniques for Neutron-Induced Soft Error / 2.5：
Overall Microscopic Soft-Error Model / 2.5.1：
Nuclear Spallation Reaction Models / 2.5.2：
Charge Deposition Model / 2.5.3：
SRAM Device Model / 2.5.4：
Cell Matrix Model / 2.5.5：
Recycle Simulation Method / 2.5.6：
Validation of SRAM Model / 2.5.7：
Prediction for Scaling Effects Down to 22 nm Design Rule in SRAMs / 2.6：
Roadmap Assumption / 2.6.1：
Results and Discussions / 2.6.2：
Validity of Simulated Results / 2.6.3：
SER Estimation in Devices/Components/System / 2.7：
Standards for SER Measurement for Memories / 2.7.1：
Revisions Needed for the Standards / 2.7.2：
Quantification of SER in Logic Devices and Related Issues / 2.7.3：
An Example of Chip/Board-Level SER Measurement and Architectural Mitigation Techniques / 2.8：
SER Test Procedures for Network Components / 2.8.1：
Hierarchical Mitigation Strategies / 2.8.2：
Basic Three Approaches / 2.9.1：
Design on the Upper Bound (DOUB) / 2.9.2：
Inter Layer Built-in Reliability (LABIR) / 2.10：
Summary / 2.11：
Electromagnetic Compatibility / 3：
Quantitative Estimation of the EMI Radiation Based on the Measured Near-Field Magnetic Distribution / 3.1：
Measurement of the Magnetic Field Distribution Near the Circuit Board / 3.2.1：
Calculation of the Electric Current Distribution on the Circuit Board / 3.2.2：
Calculation of the Far-Field Radiated EMI / 3.2.3：
Development of a Non-contact Current Distribution Measurement Technique for LSI Packaging on PCBs / 3.3：
Electric Current Distribution Detection / 3.3.1：
The Current Detection Result and Its Verification / 3.3.2：
Reduction Technique of Radiated Emission from Chassis with PCB / 3.4：
Far-Field Measurement of Chassis with PCB / 3.4.1：
Measurements of Junction Current / 3.4.2：
PSPICE Modeling / 3.4.3：
Experimental Validation / 3.4.4：
Chapter Summary / 3.5：
Power Integrity / 4：
Detrimental Effect and Technical Trends of Power Integrity Design of Electronic Systems and Devices / 4.1：
Detrimental Effect by Power Supply Noise on Semiconducting Devices / 4.2.1：
Trends of Power Supply Voltage and Power Supply Current for CMOS Semiconducting Devices / 4.2.2：
Trend of Power Distribution Network Design for Electronic Systems / 4.2.3：
Design Methodology of Power Integrity / 4.3：
Definition of Power Supply Noise in Electric System / 4.3.1：
Time-Domain and Frequency-Domain Design Methodology / 4.3.2：
Modeling and Design Methodologies of PDS / 4.4：
Modeling of Electrical Circuit Parameters / 4.4.1：
Design Strategies of PDS / 4.4.2：
Simultaneous Switching Noise (SSN) / 4.5：
Principle of SSN / 4.5.1：
S-G loop SSN / 4.5.2：
P-G loop SSN / 4.5.3：
Measurement of Power Distribution System Performance / 4.6：
On-Chip Voltage Waveform Measurement / 4.6.1：
On-Chip Power Supply Impedance Measurement / 4.6.2：
Fault-Tolerant System Technology / 4.7：
Metrics for Dependability / 5.1：
Reliability / 5.2.1：
Availability / 5.2.2：
Safety / 5.2.3：
Reliability Paradox / 5.3：
Survey on Fault-Tolerant Systems / 5.4：
Technical Issues / 5.5：
High Performance / 5.5.1：
Transparency / 5.5.2：
Physical Transparency / 5.5.3：
Fault Tolerance of Fault Tolerance for Ultimate Safety / 5.5.4：
Reliability of Software / 5.5.5：
Industrial Approach / 5.6：
Autonomous Decentralized Systems / 5.6.1：
Space Application / 5.6.2：
Commercial Fault-Tolerant Systems / 5.6.3：
Ultra-Safe System / 5.6.4：
Availability Improvement vs. Coverage Improvement / 5.7：
Trade-Off Between Availability and Coverage - Stepwise Negotiating Voting / 5.8：
Basic Concept / 5.8.1：
Hiten Onboard Computer / 5.8.2：
Fault-Tolerance Experiments / 5.8.3：
Extension of SNV - Redundancy Management / 5.8.4：
Coverage Improvement / 5.9：
Self-Checking Comparator / 5.9.1：
Optimal Time Diversity / 5.9.2：
On-Chip Redundancy / 5.10：
High Performance (Commercial Fault-Tolerant Computer) / 5.11：
Basic Concepts of TPR Architecture / 5.11.1：
System Configuration / 5.11.2：
System Reconfiguration on Fault Occurrence / 5.11.3：
Processing Take-Over on Fault Occurrence / 5.11.4：
Fault Tolerance of Fault Tolerance / 5.11.5：
Commercial Product Model / 5.11.6：
Current Application Field: X-by-Wire / 5.12：
Challenges in the Future / 6：
Index
Introduction / 1：
Trends in Failure Cause and Countermeasure / 1.1：
Contents and Organization of This Book / 1.2：
37.

電子ブック
ＥＢ
37. Structure and Properties of Liquid Crystals
Lev Mikhailovich Blinov
出版情報: SpringerLink Books - AutoHoldings , Springer Netherlands, 2011
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Introductory Notes / 1：
References
Structure of Liquid Crystals / Part I：
Symmetry / 2：
Point Group Symmetry / 2.1：
Symmetry Elements and Operations / 2.1.1：
Groups / 2.1.2：
Point Groups / 2.1.3：
Continuous Point Groups / 2.1.4：
Translational Symmetry / 2.2：
Mesogenic Molecules and Orientational Order / 3：
Molecular Shape and Properties / 3.1：
Shape, Conformational Mobility and Isomerization / 3.1.1：
Symmetry and Chirality / 3.1.2：
Electric and Magnetic Properties / 3.1.3：
Intermolecular Interactions / 3.2：
Orientational Distribution Functions for Molecules / 3.3：
Molecules with Axial Symmetry / 3.3.1：
Lath-Like Molecules / 3.3.2：
Principal Orientational Order Parameter (Microscopic Approach) / 3.4：
Macroscopic Definition of the Orientational Order Parameter / 3.5：
Tensor Properties / 3.5.1：
Uniaxial Order / 3.5.2：
Microscopic Biaxiality / 3.5.3：
Apparent Order Parameters for Flexible Chains / 3.6：
Liquid Crystal Phases / 4：
Polymorphism Studies / 4.1：
Polarized Light Microscopy / 4.1.1：
Differential Scanning and Adiabatic Calorimetry (DSC and AC) / 4.1.2：
X-Ray Analysis / 4.1.3：
Main Calamitic Phases / 4.2：
Nematic Phase / 4.2.1：
Classical Smectic A Phase / 4.2.2：
Special SmA Phases / 4.2.3：
Smectic C Phase / 4.2.4：
Smectic B / 4.2.5：
Discotic, Bowl-Type and Polyphilic Phases / 4.3：
Role of Polymerization / 4.4：
Lyotropic Phases / 4.5：
General Remarks on the Role of Chirality / 4.6：
Cholesterics / 4.7：
Intermolecular Potential / 4.7.1：
Cholesteric Helix and Tensor of Orientational Order / 4.7.2：
Tensor of Dielectric Anisotropy / 4.7.3：
Grandjean Texture / 4.7.4：
Methods of the Pitch Measurements / 4.7.5：
Blue Phases / 4.8：
Smectic C* Phase / 4.9：
Symmetry, Polarization and Ferroelectricity / 4.9.1：
Helical Structure / 4.9.2：
Chiral Smectic A* / 4.10：
Uniform Smectic A* / 4.10.1：
TGB Phase / 4.10.2：
Spontaneous Break of Mirror Symmetry / 4.11：
Structure Analysis and X-Ray Diffraction / 5：
Diffraction Studies and X-Ray Experiment / 5.1：
General Consideration / 5.1.1：
X-Ray Experiment / 5.1.2：
X-Ray Scattering / 5.2：
Scattering by a Single Electron / 5.2.1：
Scattering by Two Material Points / 5.2.2：
Scattering by a Stack of Planes (Bragg Diffraction) / 5.2.3：
Amplitude of Scattering for a System of Material Points / 5.2.4：
Scattering Amplitude for an Atom / 5.2.5：
Diffraction on a Periodic Structure / 5.3：
Reciprocal Lattice / 5.3.1：
Intensity of Scattering / 5.3.2：
Form Factor and Structure Factor / 5.3.3：
Fourier Transforms and Diffraction / 5.4：
Principle / 5.4.1：
Example: Form Factor of a Parallelepiped / 5.4.2：
Convolution of Two Functions / 5.4.3：
Self-Convolution / 5.4.4：
X-Ray Diffraction by Crystals / 5.5：
Density Function and Structure Factor for Crystals / 5.5.1：
A Crystal of a Finite Size / 5.5.2：
Structure of the Isotropic and Nematic Phase / 5.6：
Isotropic Liquid / 5.6.1：
Diffraction by Smectic Phases / 5.6.2：
Smectic A / 5.7.1：
Landau-Peierls Instability / 5.7.2：
"Bond" Orientational Order in a Single Smectic Layer and Hexatic Phase / 5.7.3：
Three-Dimensional Smectic Phases / 5.7.4：
Phase Transitions / 6：
Landau Approach / 6.1：
Isotropic Liquid-Nematic Transition / 6.2：
Landau-De Gennes Equation / 6.2.1：
Temperature Dependence of the Nematic Order Parameter / 6.2.2：
Free Energy / 6.2.3：
Physical Properties in the Vicinity of the N-Iso Transition / 6.2.4：
Nematic-Smectic A Transition / 6.3：
Order Parameter / 6.3.1：
Free Energy Expansion / 6.3.2：
Weak First Order Transition / 6.3.3：
Re-entrant Phases / 6.3.4：
Smectic A-Smectic C Transition / 6.4：
Landau Expansion / 6.4.1：
Influence of External Fields / 6.4.2：
Dynamics of Order Parameter / 6.5：
Landau-Khalatnikov Approach / 6.5.1：
Relaxation Rate / 6.5.2：
Molecular Statistic Approach to Phase Transitions / 6.6：
Entropy, Partition Function and Free Energy / 6.6.1：
Equations of State for Gas and Liquid / 6.6.2：
Nematic-Isotropic Transition (Molecular Approach) / 6.7：
Interaction Potential and Partition Function / 6.7.1：
Onsager's Results / 6.7.2：
Mean Field Approach for the Nematic Phase / 6.7.3：
Physical Properties / Part II：
Magnetic, Electric and Transport Properties / 7：
Magnetic Phenomena / 7.1：
Magnetic Anisotropy / 7.1.1：
Diamagnetism / 7.1.2：
Paramagnetism and Ferromagnetism / 7.1.3：
Dielectric Properties / 7.2：
Permittivity of Isotropic Liquids / 7.2.1：
Static Dielectric Anisotropy of Nematics and Smectics / 7.2.2：
Dipole Dynamics of an Isotropic Liquid / 7.2.3：
Transport Properties / 7.2.4：
Thermal Conductivity / 7.3.1：
Diffusion / 7.3.2：
Electric Conductivity / 7.3.3：
Elasticity and Defects / 8：
Tensor of Elasticity / 8.1：
Hooke's Law / 8.1.1：
Stress, Strain and Elasticity Tensors / 8.1.2：
Elasticity of Nematics and Cholesterics / 8.2：
Elementary Distortions / 8.2.1：
Frank Energy / 8.2.2：
Cholesterics and Polar Nematics / 8.2.3：
Variational Problem and Elastic Torques / 8.3：
Euler Equation / 8.3.1：
Application to a Twist Cell / 8.3.2：
"Molecular Field" and Torques / 8.3.3：
Director Fluctuations / 8.3.4：
Defects in Nematics and Cholesterics / 8.4：
Nematic Texture and Volterra Process / 8.4.1：
Linear Singularities in Nematics / 8.4.2：
Point Singularities and Walls / 8.4.3：
Defects in Cholesterics / 8.4.4：
Smectic Phases / 8.5：
Elasticity of Smectic A / 8.5.1：
Peierls Instability of the SmA Structure / 8.5.2：
Defects in Smectic A / 8.5.3：
Smectic C Elasticity and Defects / 8.5.4：
Elements of Hydrodynamics / 9：
Hydrodynamic Variables / 9.1：
Hydrodynamics of an Isotropic Liquid / 9.2：
Conservation of Mass Density / 9.2.1：
Conservation of Momentum Density / 9.2.2：
Navier-Stokes Equation / 9.2.3：
Viscosity of Nematics / 9.3：
Basic Equations / 9.3.1：
Measurements of Leslie coefficients / 9.3.2：
Flow in Cholesterics and Smectics / 9.4：
Smectic A Phase / 9.4.1：
Reference
Liquid Crystal - Solid Interface / 10：
General Properties / 10.1：
Surface Properties of a Liquid / 10.1.1：
Structure of Surface Layers / 10.1.3：
Surface Energy and Anchoring of Nematics / 10.2：
Easy Axis / 10.2.1：
Variational Problem / 10.2.2：
Surface Energy Forms / 10.2.3：
Extrapolation Length / 10.2.4：
Liquid Crystal Alignment / 10.3：
Cells / 10.3.1：
Alignment / 10.3.2：
Berreman Model / 10.3.3：
Electro-Optics / Part III：
Optics and Electric Field Effects in Nematic and Smectic A Liquid Crystals / 11：
Optical Properties of Uniaxial Phases / 11.1：
Dielectric Ellipsoid, Birefringence and Light Transmission / 11.1.1：
Light Absorption and Linear Dichroism / 11.1.2：
Light Scattering in Nematics and Smectic A / 11.1.3：
Frederiks Transition and Related Phenomena / 11.2：
Field Free Energy and Torques / 11.2.1：
Experiments on Field Alignment of a Nematic / 11.2.2：
Theory of Frederiks Transition / 11.2.3：
Generalizations of the Simplest Model / 11.2.4：
Dynamics of Frederiks Transition / 11.2.5：
Backflow Effect / 11.2.6：
Electrooptical Response / 11.2.7：
Flexoelectricity / 11.3：
Flexoelectric Polarization / 11.3.1：
Converse Flexoelectric Effect / 11.3.2：
Flexoelectric Domains / 11.3.3：
Electrohydrodynamic Instability / 11.4：
The Reasons for Instabilities / 11.4.1：
Carr-Helfrich Mode / 11.4.2：
Electro-Optical Effects in Cholesteric Phase / 12：
Cholesteric as One-Dimensional Photonic Crystal / 12.1：
Bragg Reflection / 12.1.1：
Waves in Layered Medium and Photonic Crystals / 12.1.2：
Simple Analytical Solution for Light Incident Parallel to the Helical Axis / 12.1.3：
Other Important Cases / 12.1.4：
Dielectric Instability of Cholesterics / 12.2：
Untwisting of the Cholesteric Helix / 12.2.1：
Field Induced Anharmonicity and Dynamics of the Helix / 12.2.2：
Instability of the Planar Cholesteric Texture / 12.2.3：
Bistability and Memory / 12.3：
Naive Idea / 12.3.1：
Berreman-Heffner Model / 12.3.2：
Bistability and Field-Induced Break of Anchoring / 12.3.3：
Flexoelectricity in Cholesterics / 12.4：
Ferroelectricity and Antiferroelectricity in Smectics / 13：
Ferroelectrics / 13.1：
Crystalline Pyro-, Piezo- and Ferroelectrics / 13.1.1：
Ferroelectric Cells with Non-ferroelectric Liquid Crystal / 13.1.2：
Phase Transition SmA*-SmC* / 13.1.3：
Electro-Optic Effects in Ferroelectric Cells / 13.1.4：
Criteria for Bistability and Hysteresis-Free Switching / 13.1.5：
Introduction to Antiferroelectrics / 13.2：
Background: Crystalline Antiferroelectrics and Ferrielectrics / 13.2.1：
Chiral Liquid Crystalline Antiferroelectrics / 13.2.2：
Polar Achiral Systems / 13.2.3：
Index
Introductory Notes / 1：
References
Structure of Liquid Crystals / Part I：
38.

電子ブック
ＥＢ
38. Fixed Point Theory in Ordered Sets and Applications
Siegfried Carl, Seppo Heikkilä
出版情報: SpringerLink Books - AutoHoldings , Springer New York, 2011
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Preface
Introduction / 1：
Fundamental Order-Theoretic Principles / 2：
Recursions and Iterations in Posets / 2.1：
Fixed Point Results in Posets / 2.2：
Fixed Points for Set-Valued Functions / 2.2.1：
Fixed Points for Single-Valued Functions / 2.2.2：
Comparison and Existence Results / 2.2.3：
Algorithmic Methods / 2.2.4：
Solvability of Operator Equations and Inclusions / 2.3：
Inclusion Problems / 2.3.1：
Single-Valued Problems / 2.3.2：
Special Cases / 2.4：
Fixed Point Results in Ordered Topological Spaces / 2.4.1：
Equations and Inclusions in Ordered Normed Spaces / 2.4.2：
Fixed Point Results for Maximalizing Functions / 2.5：
Preliminaries / 2.5.1：
Main Results / 2.5.2：
Examples and Remarks / 2.5.3：
Notes and Comments / 2.6：
Multi-Valued Variational Inequalities / 3：
Introductory Example / 3.1：
Multi-Valued Elliptic Variational Inequalities / 3.2：
The Sub-Supersolution Method / 3.2.1：
Directedness of Solution Set / 3.2.2：
Extremal Solutions / 3.2.3：
Equivalence to Variational-Hemivariational Inequality / 3.2.4：
Multi-Valued Parabolic Variational Inequalities / 3.3：
Notion of Sub-Supersolution / 3.3.1：
Multi-Valued Parabolic Equation / 3.3.2：
Parabolic Variational Inequality / 3.3.3：
Discontinuous Multi-Valued Elliptic Problems / 3.4：
Nonlocal and Discontinuous Elliptic Inclusions / 4.1：
Hypotheses, Main Result, and Preliminaries / 4.1.1：
Proof of Theorem 4.1 / 4.1.2：
Application: Difference of Clarke's Gradient and Subdifferential / 4.1.3：
State-Dependent Clarke's Gradient Inclusion / 4.2：
Statement of the Problem / 4.2.1：
Notions, Hypotheses, and Preliminaries / 4.2.2：
Existence and Comparison Result / 4.2.3：
Application: Multiplicity Results / 4.2.4：
Discontinuous Elliptic Problems via Fixed Points for Multifunctions / 4.3：
Abstract Fixed Point Theorems for Multi-Functions / 4.3.1：
Discontinuous Elliptic Functional Equations / 4.3.2：
Implicit Discontinuous Elliptic Functional Equations / 4.3.3：
Discontinuous Multi-Valued Evolutionary Problems / 4.4：
Discontinuous Parabolic Inclusions with Clarke's Gradient / 5.1：
Implicit Functional Evolution Equations / 5.2：
Main Result / 5.2.1：
Generalization and Special Cases / 5.2.3：
Application / 5.2.4：
Banach-Valued Ordinary Differential Equations / 5.3：
Cauchy Problems / 6.1：
A Uniqueness Theorem of Nagumo Type / 6.1.1：
Existence Results / 6.1.3：
Existence and Uniqueness Results / 6.1.4：
Dependence on the Initial Value / 6.1.5：
Well-Posedness of a Semilinear Cauchy Problem / 6.1.6：
Nonlocal Semilinear Differential Equations / 6.2：
Existence and Comparison Results / 6.2.1：
Applications to Multipoint Initial Value Problems / 6.2.2：
Higher Order Differential Equations / 6.3：
Well-Posedness Results / 6.3.1：
Semilinear Problem / 6.3.2：
Singular Differential Equations / 6.3.3：
First Order Explicit Initial Value Problems / 6.4.1：
First Order Implicit Initial Value Problems / 6.4.2：
Second Order Initial Value Problems / 6.4.3：
Second Order Boundary Value Problems / 6.4.4：
Functional Differential Equations Containing Bochner Integrable Functions / 6.5：
Hypotheses and Preliminaries / 6.5.1：
Banach-Valued Integral Equations / 6.5.2：
Integral Equations in HL-Spaces / 7.1：
Fredholm Integral Equations / 7.1.1：
Volterra Integral Equations / 7.1.2：
Application to Impulsive IVP / 7.1.3：
A Volterra Equation Containing HL Integrable Functions / 7.1.4：
Urysohn Equations / 7.2：
Evolution Equations / 7.2.3：
Existence and Uniqueness Result / 7.3.1：
Application to a Cauchy Problem / 7.3.3：
Extremal Solutions of Evolution Equations / 7.3.6：
Evolution Equations Containing Bochner Integrable Functions / 7.3.7：
Game Theory / 7.3.8：
Pure Nash Equilibria for Finite Simple Normal-Form Games / 8.1：
An Application to a Pricing Game / 8.1.1：
Pure and Mixed Nash Equilibria for Finite Normal-Form Games / 8.2：
Existence Result for the Greatest Nash Equilibrium / 8.2.1：
Comparison Result for Utilities / 8.2.3：
Dual Results / 8.2.4：
Applications to Finite Supermodular Games / 8.2.5：
Application to a Multiproduct Pricing Game / 8.2.6：
Pure Nash Equilibria for Normal-Form Games / 8.3：
Extreme Value Results / 8.3.1：
Smallest and Greatest Pure Nash Equilibria / 8.3.2：
Applications to a Multiproduct Pricing Game / 8.3.3：
Minimal and Maximal Pure Nash Equilibria / 8.3.5：
Pure and Mixed Nash Equilibria of Normal-Form Games / 8.4：
Definitions and Auxiliary Results / 8.4.1：
Applications to Supermodular Games / 8.4.2：
Undominated and Weakly Dominating Strategies and Weakly Dominating Pure Nash Equilibria for Normal-Form Games / 8.5：
Existence of Undominated Strategies / 8.5.1：
Existence of Weakly Dominating Strategies and Pure Nash Equilibria / 8.5.2：
Examples / 8.5.3：
Pursuit and Evasion Game / 8.6：
Winning Strategy / 8.6.1：
Applications and Special Cases / 8.6.3：
Appendix / 8.7：
Analysis of Vector-Valued Functions / 9.1：
µ-Measurability and µ-Integrability of Banach-Valued Functions / 9.1.1：
HL Integrability / 9.1.2：
Integrals of Derivatives of Vector-Valued Functions / 9.1.3：
Convergence Theorems for HL Integrable Functions / 9.1.4：
Ordered Normed Spaces of HL Integrable Functions / 9.1.5：
Chains in Ordered Function Spaces / 9.2：
Chains of Locally Bochner Integrable Functions / 9.2.1：
Chains of HL Integrable and Locally HL Integrable Functions / 9.2.3：
Chains of Continuous Functions / 9.2.4：
Chains of Random Variables / 9.2.5：
Properties of Order Intervals and Balls in Ordered Function Spaces / 9.2.6：
Sobolev Spaces / 9.3：
Definition of Sobolev Spaces / 9.3.1：
Chain Rule and Lattice Structure / 9.3.2：
Operators of Monotone Type / 9.4：
Main Theorem on Pseudomonotone Operators / 9.4.1：
Leray-Lions Operators / 9.4.2：
Multi-Valued Pseudomonotone Operators / 9.4.3：
First Order Evolution Equations / 9.5：
Evolution Triple and Generalized Derivative / 9.5.1：
Existence Results for Evolution Equations / 9.5.2：
Calculus of Clarke's Generalized Gradient / 9.6：
List of Symbols
References
Index
Preface
Introduction / 1：
Fundamental Order-Theoretic Principles / 2：
39.

電子ブック
ＥＢ
39. Transport in Metal-Oxide-Semiconductor Structures
Hamid Bentarzi
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Introduction / 1：
References
The MOS Structure / 2：
A Simple Physical Approach Applied to MOS Structure / 2.1：
Basic Concepts and Quantities / 2.2.1：
Definition of Potentials / 2.2.2：
Ideal MOS Capacitor / 2.3：
Accumulation / 2.3.1：
Depletion / 2.3.2：
Inversion / 2.3.3：
The Actual (Non-ideal) MOS Structure / 2.4：
The Metal-Silicon Work Function Difference / 2.4.1：
Effect of the Charge Distributed in the Oxide / 2.4.2：
The MOS Oxide and Its Defects / 3：
Oxide Growth Techiques / 3.1：
Thermal Oxidation / 3.3：
Dry Oxidation / 3.3.1：
Wet Oxidation / 3.3.2：
Anodic Oxidation / 3.4：
Rapid Thermal Oxidation / 3.5：
MOS Oxide Defects / 3.6：
The Interface Trapped Charge / 3.6.1：
The Fixed Oxide Charge / 3.6.2：
The Oxide Trapped Charge / 3.6.3：
The Mobile Ionic Charge / 3.6.4：
Review of Transport Mechanism in Thin Oxides of MOS Devices / 4：
Electronic Conduction / 4.1：
The Schottky (or Thermionic) Conduction / 4.2.1：
The Tunneling Conduction / 4.2.2：
The Fowler-Nordheim Conduction / 4.2.3：
The Frenkel-Poole Conduction / 4.2.4：
The Hopping Conduction / 4.2.5：
The Space Charge-Limited Current / 4.2.6：
Ionic Conduction / 4.3：
Ionic Current Transport Equation / 4.3.1：
Summary / 4.4：
Experimental Techniques / 5：
High Frequency MOS C-V Measurement under BTS / 5.1：
Determination of the Flat-Band Voltage / 5.2.1：
How the Mobile Charges Effect can be Separated / 5.2.2：
Theory / 5.2.3：
Experimental Results and Discussion / 5.2.4：
TVS Technique / 5.3：
Earlier Investigation / 5.3.1：
TSIC Technique / 5.4：
Charge-pumping Associated with BTS Technique / 5.4.1：
Separation of the Mobile Charge Effect / 5.5.1：
Theoretical Approaches of Mobile Ions Density Distribution Determination / 5.5.3：
Problem Formulation / 6.1：
Earlier Analytical Approaches / 6.3：
Analytical Approach of Chou / 6.3.1：
Analytical Approach of Tangena et al / 6.3.2：
Analytical Approach of Romanov et al / 6.3.3：
Empirical Model / 6.4：
General Formulation / 6.4.1：
First Empirical Model / 6.4.2：
Results and Discussions / 6.4.3：
Second Empirical Model / 6.4.4：
Results and Discussion / 6.4.5：
Numerical Approach / 6.5：
Numerical Solution / 6.5.1：
Simulation Results and Discussion / 6.5.2：
Experimental and Simulation Results / 6.5.3：
Conclusion / 6.6：
Theoretical Model of Mobile Ions Distribution and Ionic Current in the MOS Oxide / 7：
Theoretical Model of Mobile Ions Density Distribution / 7.1：
Preliminary Considerations / 7.2.1：
One-Dimensional Distribution Model of Mobile Ions / 7.2.2：
I-V Characteristic Determination / 7.3：
Index / 7.4：
Introduction / 1：
References
The MOS Structure / 2：
40.

電子ブック
ＥＢ
40. The Linear Ordering Problem
Rafael Martí, Rafael Marti, Gerhard Reinelt
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Introduction / 1：
Basic definitions / 1.l：
Applications of the Linear Ordering Problem / 1.2：
Equivalent Graph Problems / 1.2.1：
Related Graph Problems / 1.2.2：
Aggregation of Individual Preferences / 1.2.3：
Binary Choice Probabilities / 1.2.4：
Ttiangulation of Input-Output Tables / 1.2.5：
Optimal Weighted Ancestry Relationships / 1.2.6：
Ranking in Sports Tournaments / 1.2.7：
Corruption Perception / 1.2.8：
Crossing Minimization / 1.2.9：
Linear Ordering with Quadratic Objective Function / 1.2.10：
Scheduling with Precedences / 1.2.11：
Linear Ordering with Cumulative Costs / 1.2.12：
Coupled Task Problem / 1.2.13：
Target Visitation Problem / 1.2.14：
Benchmark Problems / 1.3：
Data Format / 1.3.1：
Input-Output Matrices / 1.3.2：
Randomly Generated Instances A (Type 1) / 1.3.3：
Randomly Generated Instances A (Type 2) / 1.3.4：
Randomly Generated Instances B / 1.3.5：
SGB Instances / 1.3.6：
Instances of Schiavinotto and Stiltzle / 1.3.7：
Instances of Mitchell and Borchers / 1.3.8：
Further Special Instances / 1.3.9：
Heuristic Methods / 2：
Assessing the Quality of Heuristics / 2.1：
ConstlUction Heuristics / 2.2：
The Method of Chenery and Watanabe / 2.2.1：
Heuristics of Aujac & Masson / 2.2.2：
Heuristics of Becker / 2.2.3：
Best Insertion / 2.2.4：
Local Search / 2.3：
Insertion / 2.3.1：
The Heuristic of Chan as & Kobylanski / 2.3.2：
k-opt / 2.3.3：
Kernighan-Lin Type Improvement / 2.3.4：
Local Enumeration / 2.3.5：
Multi-Start Procedures / 2.4：
Variants of Multi-Start / 2.4.1：
Experiments with the LOP / 2.4.2：
Meta-Heuristics / 3：
GRASP / 3.1：
Construction Phase / 3.2.1：
Improvement Phase / 3.2.2：
Tabu Search / 3.3：
Short Term Memory / 3.3.1：
Long Term Memory / 3.3.2：
Simulated Annealing / 3.4：
Variable Neighborhood Search / 3.5：
Variable Neighborhood Descent / 3.5.1：
Restricted Variable Neighborhood Search / 3.5.2：
Basic Variable Neighborhood Search / 3.5.3：
Frequency Variable Neighborhood Search / 3.5.4：
Hybrid Variable Neighborhood Search / 3.5.5：
Scatter Search / 3.6：
Reference Set Creation / 3.6.1：
Reference Set Update / 3.6.2：
Reference Set Rebuild / 3.6.3：
Genetic Algorithms / 3.7：
Empilical Comparison / 3.8：
Branch-and-Bound / 4：
Branch-and-Bound with Partial Orderings / 4.1：
Lexicographic Search / 4.3：
Extension of Lexicographic Search to Branch-and-Bound / 4.4：
Branch-and-Bound with Lagrangian Relaxation / 4.5：
Branch-and-Cut / 5：
Integer Programming / 5.1：
Cutting Plane Algorithms / 5.2：
Branch-and-Cut with 3-Dicycle Cuts / 5.3：
Solving the 3-Diycle Relaxation / 5.3.1：
An LP Based Henristic / 5.3.2：
Computational Results witl1 3-Dicycles / 5.3.3：
Generation of Further Cuts / 5.4：
Chvatal-Gomory Cuts / 5.4.1：
Maximally Violated Mod-k Cuts / 5.4.2：
Mod-2 Cuts / 5.4.3：
Implementation of Branch-and-Cut / 5.5：
Initialization / 5.5.1：
Active Variables / 5.5.2：
Local Upper Bound / 5.5.3：
Branching / 5.5.4：
Fixing and Setting of Variables / 5.5.5：
Logical Implications / 5.5.6：
Selection of Nodes / 5.5.7：
Lower Bounds / 5.5.8：
Separation / 5.5.9：
Elimination of Constraints / 5.5.10：
Constraint Pool / 5.5.11：
Pricing / 5.5.12：
Infeasible LPs / 5.5.13：
Addition of Variables / 5.5.14：
Some Computational Results / 5.6：
The Linear Ordering Polytope / 6：
Polyhedral Combinatorics and Basic Results / 6.1：
Facets of the Linear Ordering Polytope / 6.2：
Computation of Complete Descriptions / 6.3：
Differences between Facets / 6.4：
Separation of Small Facets / 6.5：
Computational Experiments with Small Facets / 6.6：
Comparison of Henristics / 6.6.1：
Cutting Plane Selection / 6.6.2：
Number of Classes Taken into Account / 6.6.3：
Facet Selection / 6.6.4：
Local Cuts and Target Cuts / 6.7：
Further Aspects / 7：
Approximative Algorithms / 7.1：
Integrality Gaps of LP Relaxations / 7.2：
Degree of Linearity / 7.3：
Semidefinite Relaxations / 7.4：
Context Independent Solvers / 7.5：
Difficulty of LOP Instances / 7.6：
Sparse Problems / 7.7：
A Simple Dual Heuristic / 7.8：
Future Research / 7.9：
References
Index
Introduction / 1：
Basic definitions / 1.l：
Applications of the Linear Ordering Problem / 1.2：
41.

電子ブック
ＥＢ
41. Random Matrices, Random Processes and Integrable Systems
John Harnad, John P. Harnad
出版情報: SpringerLink Books - AutoHoldings , Springer New York, 2011
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Preface / John Harnad
References
Random Matrices, Random Processes and Integrable Models / Part I：
Random and Integrable Models in Mathematics and Physics / Pierre van Moerbeke1：
Permutations, Words, Generalized Permutations and Percolation / 1.1：
Longest Increasing Subsequences in Permutations, Words and Generalized Permutations / 1.1.1：
Young Diagrams and Schur Polynomials / 1.1.2：
Robinson-Schensted-Knuth Correspondence for Generalized Permutations / 1.1.3：
The Cauchy Identity / 1.1.4：
Uniform Probability on Permutations, Plancherel Measure and Random Walks / 1.1.5：
Probability Measure on Words / 1.1.6：
Generalized Permutations, Percolation and Growth Models / 1.1.7：
Probability on Partitions, Toeplitz and Fredholm Determinants / 1.2：
Probability on Partitions Expressed as Toeplitz Determinants / 1.2.1：
The Calculus of Infinite Wedge Spaces / 1.2.2：
Probability on Partitions Expressed as Fredholm Determinants / 1.2.3：
Probability on Partitions Expressed as U(n) Integrals / 1.2.4：
Examples / 1.3：
Plancherel Measure and Gessel's Theorem / 1.3.1：
Probability on Random Words / 1.3.2：
Percolation / 1.3.3：
Limit Theorems / 1.4：
Limit for Plancherel Measure / 1.4.1：
Limit Theorem for Longest Increasing Sequences / 1.4.2：
Limit Theorem for the Geometrically Distributed Percolation Model, when One Side of the Matrix Tends to $$$ / 1.4.3：
Limit Theorem for the Geometrically Distributed Percolation Model, when Both Sides of the Matrix Tend to $$$ / 1.4.4：
Limit Theorem for the Exponentially Distributed Percolation Model, when Both Sides of the Matrix tend to $$$ / 1.4.5：
Orthogonal Polynomials for a Time-Dependent Weight and the KP Equation / 1.5：
Orthogonal Polynomials / 1.5.1：
Time-Dependent Orthogonal Polynomials and the KP Equation / 1.5.2：
Virasoro Constraints / 1.6：
Virasoro Constraints for ?-Integrals / 1.6.1：
Random Matrices / 1.6.2：
Haar Measure on the Space Hn of Hermitian Matrices / 1.7.1：
Random Hermitian Ensemble / 1.7.2：
Reproducing Kernels / 1.7.3：
Correlations and Fredholm Determinants / 1.7.4：
The Distribution of Hermitian Matrix Ensembles / 1.8：
Classical Hermitian Matrix Ensembles / 1.8.1：
The Probability for the Classical Hermitian Random Ensembles and PDEs Generalizing Painlevé / l.8.2：
Chazy and Painlevé Equations / 8.3：
Large Hermitian Matrix Ensembles / 1.9：
Equilibrium Measure for GUE and Wigner's Semi-Circle / 1.9.1：
Soft Edge Scaling Limit for GUE and the Tracy-Widom Distribution / 1.9.2：
Integrable Systems, Random Matrices, and Random Processes / Mark Adler2：
Matrix Integrals and Solitons / 2.1：
Random Matrix Ensembles / 2.1.1：
Large n-limits / 2.1.2：
KP Hierarchy / 2.1.3：
Vertex Operators, Soliton Formulas and Fredholm Determinants / 2.1.4：
Virasoro Relations Satisfied by the Fredholm Determinant / 2.1.5：
Differential Equations for the Probability in Scaling Limits / 2.1.6：
Recursion Relations for Unitary Integrals / 2.2：
Results Concerning Unitary Integrals / 2.2.1：
Examples from Combinatorics / 2.2.2：
Bi-orthogonal Polynomials on the Circle and the Toeplitz Lattice / 2.2.3：
Virasoro Constraints and Difference Relations / 2.2.4：
Singularity Confinement of Recursion Relations / 2.2.5：
Coupled Random Matrices and the 2-Toda Lattice / 2.3：
Main Results for Coupled Random Matrices / 2.3.1：
Link with the 2-Toda Hierarchy / 2.3.2：
L-U Decomposition of the Moment Matrix, Bi-orthogonal Polynomials and 2-Toda Wave Operators / 2.3.3：
Bilinear Identities and $$$-function PDEs / 2.3.4：
Virasoro Constraints for the $$$- functions / 2.3.5：
Consequences of the Virasoro Relations / 2.3.6：
Final Equations / 2.3.7：
Dyson Brownian Motion and the Airy Process / 2.4：
Processes / 2.4.1：
PDEs and Asymptotics for the Processes / 2.4.2：
Proof of the Results / 2.4.3：
The Pearcey Distribution / 2.5：
GUE with an External Source and Brownian Motion / 2.5.1：
MOPS and a Riemann-Hilbert Problem / 2.5.2：
Results Concerning Universal Behavior / 2.5.3：
3-KP Deformation of the Random Matrix Problem / 2.5.4：
Virasoro Constraints for the Integrable Deformations / 2.5.5：
A PDE for the Gaussian Ensemble with External Source and the Pearcey PDE / 2.5.6：
A Hirota Symbol Residue Identity
Integral Operators in Random Matrix Theory / Harold WidowPart II：
Hilbert-Schmidt and Trace Class Operators. Trace and Determinant. Fredholm Determinants of Integral Operators / 3.1：
Correlation Functions and Kernels of Integral Operators. Spacing Distributions as Operator Determinants. The Sine and Airy Kernels / 3.2：
Differential Equations for Distribution Functions Arising in Random Matrix Theory. Representations in Terms of Painlevé functions / 3.3：
Lectures on Random Matrix Models / Pavel M. Bleher4：
Random Matrix Models and Orthogonal Polynomials / 4.1：
Unitary Ensembles of Random Matrices / 4.1.1：
The Riemann-Hilbert Problem for Orthogonal Polynomials / 4.1.2：
Distribution of Eigenvalues and Equilibrium Measure / 4.1.3：
Large N Asymptotics of Orthogonal Polynomials. The Riemann-Hilbert Approach / 4.2：
Heine's Formula for Orthogonal Polynomials / 4.2.1：
First Transformation of the RH Problem / 4.2.2：
Second Transformation of the RHP: Opening of Lenses / 4.2.3：
Model RHP / 4.2.4：
Construction of a Parametrix at Edge Points / 4.2.5：
Third and Final Transformation of the RHP / 4.2.6：
Solution of the RHP for Rn(z) / 4.2.7：
Asymptotics of the Recurrent Coefficients / 4.2.8：
Universality in the Random Matrix Model / 4.2.9：
Double Scaling Limit in a Random Matrix Model / 4.3：
Ansatz of the Double Scaling Limit / 4.3.1：
Construction of the Parametrix in ?WKB / 4.3.2：
Construction of the Parametrix near the Turning Points / 4.3.3：
Construction of the Parametrix near the Critical Point / 4.3.4：
Large N Asymptotics of the Partition Function of Random Matrix Models / 4.4：
Partition Function / 4.4.1：
Analyticity of the Free Energy for Regular V / 4.4.2：
Topological Expansion / 4.4.3：
One-Sided Analyticity at a Critical Point / 4.4.4：
Double Scaling Limit of the Free Energy / 4.4.5：
Random Matrix Model with External Source / 4.5：
Random Matrix Model with External Source and Multiple Orthogonal Polynomials / 4.5.1：
Gaussian Matrix Model with External Source and Non-Intersecting Brownian Bridges / 4.5.2：
Gaussian Model with External Source. Main Results / 4.5.3：
Construction of a Parametrix in the Case a > 1 / 4.5.4：
Construction of a Parametrix in the Case a < 1 / 4.5.5：
Double Scaling Limit at a = 1 / 4.5.6：
Concluding Remarks / 4.5.7：
Large N Asymptotics in Random Matrices / Alexander R, Its5：
The RH Representation of the Orthogonal Polynomials and Matrix Models / 5.1：
Introduction / 5.1.1：
The RH Representation of the Orthogonal Polynomials / 5.1.2：
Elements of the RH Theory / 5.1.3：
The Asymptotic Analysis of the RH Problem. The DKMVZ Method / 5.2：
A Naive Approach / 5.2.1：
The g-Function / 5.2.2：
Construction of the g-Function / 5.2.3：
The Parametrix at the End Points. The Conclusion of the Asymptotic Analysis / 5.3：
The Model Problem Near z = z0 / 5.3.1：
Solution of the Model Problem / 5.3.2：
The Final Formula for the Parametrix / 5.3.3：
The Conclusion of the Asymptotic Analysis / 5.3.4：
The Critical Case. The Double Scaling Limit and the Second Painlevé Equation / 5.4：
The Parametrix at z = 0 / 5.4.1：
The Conclusion of the Asymptotic Analysis in the Critical Case / 5.4.2：
Analysis of the RH Problem (1C)-(3C). The Second Painlevé Equation / 5.4.3：
The Painlevé Asymptotics of the Recurrence Coefficients / 5.4.4：
Formal Matrix Integrals and Combinatorics of Maps / B. Eynard6：
Formal Matrix Integrals / 6.1：
Combinatorics of Maps / 6.2.1：
Loop Equations / 6.2.2：
1-Matrix Model / 6.4：
2-Matrix Model / 6.4.2：
Chain of Matrices / 6.4.3：
Closed Chain of Matrices / 6.4.4：
O(n) Model / 6.4.5：
Potts Model / 6.4.6：
3-Color Model / 6.4.7：
6-Vertex Model / 6.4.8：
ADE Models / 6.4.9：
ABAB Models / 6.4.10：
Discussion / 6.5：
Summary of Some Known Results / 6.5.1：
Some Open Problems / 6.5.2：
Application of Random Matrix Theory to Multivariate Statistics / Momar Dieng ; Craig A. Tracy7：
Multivariate Statistics / 7.1：
Wishart Distribution / 7.1.1：
An Example with $$$ cIp / 7.1.2：
Edge Distribution Functions / 7.2：
Summary of Fredholm Determinant Representations / 7.2.1：
Universality Theorems / 7.2.2：
Painlevé Representations: A Summary / 7.3：
Preliminaries / 7.4：
Determinant Matters / 7.4.1：
Recursion Formula for the Eigenvalue Distributions / 7.4.2：
The Distribution of the mth Largest Eigenvalue in the GUE / 7.5：
The Distribution Function as a Fredholm Determinant / 7.5.1：
Edge Scaling and Differential Equations / 7.5.2：
The Distribution of the mth Largest Eigenvalue in the GSE / 7.6：
Gaussian Specialization / 7.6.1：
Edge Scaling / 7.6.3：
The Distribution of the mth Largest Eigenvalue in the GOE / 7.7：
An Interlacing Property / 7.7.1：
Numerics / 7.9：
Partial Derivatives of q(x, ?) / 7.9.1：
Algorithms / 7.9.2：
Tables / 7.9.3：
Index
Preface / John Harnad
References
Random Matrices, Random Processes and Integrable Models / Part I：
42.

電子ブック
ＥＢ
42. Complex and Adaptive Dynamical Systems
Claudius Gros
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Graph Theory and Small-World Networks / 1：
Graph Theory and Real-World Networks / 1.1：
The Small-World Effect / 1.1.1：
Basic Graph-Theoretical Concepts / 1.1.2：
Properties of Random Graphs / 1.1.3：
Generalized Random Graphs / 1.2：
Graphs with Arbitrary Degree Distributions / 1.2.1：
Probability Generating Function Formalism / 1.2.2：
Distribution of Component Sizes / 1.2.3：
Robustness of Random Networks / 1.3：
Small-World Models / 1.4：
Scale-Free Graphs / 1.5：
Exercises
Further Reading
Chaos, Bifurcations and Diffusion / 2：
Basic Concepts of Dynamical Systems Theory / 2.1：
The Logistic Map and Deterministic Chaos / 2.2：
Dissipation and Adaption / 2.3：
Dissipative Systems and Strange Attractors / 2.3.1：
Adaptive Systems / 2.3.2：
Diffusion and Transport / 2.4：
Random Walks, Diffusion and Lévy Flights / 2.4.1：
The Langevin Equation and Diffusion / 2.4.2：
Noise-Controlled Dynamics / 2.5：
Stochastic Escape / 2.5.1：
Stochastic Resonance / 2.5.2：
Dynamical Systems with Time Delays / 2.6：
Complexity and Information Theory / 3：
Probability Distribution Functions / 3.1：
The Law of Large Numbers / 3.1.1：
Time Series Characterization / 3.1.2：
Entropy and Information / 3.2：
Information Content of a Real-World Time Series / 3.2.1：
Mutual Information / 3.2.2：
Complexity Measures / 3.3：
Complexity and Predictability / 3.3.1：
Algorithmic and Generative Complexity / 3.3.2：
Random Boolean Networks / 4：
Introduction / 4.1：
Random Variables and Networks / 4.2：
Boolean Variables and Graph Topologies / 4.2.1：
Coupling Functions / 4.2.2：
Dynamics / 4.2.3：
The Dynamics of Boolean Networks / 4.3：
The Flow of Information Through the Network / 4.3.1：
The Mean-Field Phase Diagram / 4.3.2：
The Bifurcation Phase Diagram / 4.3.3：
Scale-Free Boolean Networks / 4.3.4：
Cycles and Attractors / 4.4：
Quenched Boolean Dynamics / 4.4.1：
The K = 1 Kauffman Network / 4.4.2：
The K = 2 Kauffman Network / 4.4.3：
The K = N Kauffman Network / 4.4.4：
Applications / 4.5：
Living at the Edge of Chaos / 4.5.1：
The Yeast Cell Cycle / 4.5.2：
Application to Neural Networks / 4.5.3：
Cellular Automata and Self-Organized Criticality / 5：
The Landau Theory of Phase Transitions / 5.1：
Criticality in Dynamical Systems / 5.2：
1/f Noise / 5.2.1：
Cellular Automata / 5.3：
Conway's Game of Life / 5.3.1：
The Forest Fire Model / 5.3.2：
The Sandpile Model and Self-Organized Criticality / 5.4：
Random Branching Theory / 5.5：
Branching Theory of Self-Organized Criticality / 5.5.1：
Galton-Watson Processes / 5.5.2：
Application to Long-Term Evolution / 5.6：
Darwinian Evolution, Hypercycles and Game Theory / 6：
Mutations and Fitness in a Static Environment / 6.1：
Deterministic Evolution / 6.3：
Evolution Equations / 6.3.1：
Beanbag Genetics - Evolutions Without Epistasis / 6.3.2：
Epistatic Interactions and the Error Catastrophe / 6.3.3：
Finite Populations and Stochastic Escape / 6.4：
Strong Selective Pressure and Adaptive Climbing / 6.4.1：
Adaptive Climbing Versus Stochastic Escape / 6.4.2：
Prebiotic Evolution / 6.5：
Quasispecies Theory / 6.5.1：
Hypercycles and Autocatalytic Networks / 6.5.2：
Coevolution and Game Theory / 6.6：
Synchronization Phenomena / 7：
Frequency Locking / 7.1：
Synchronization of Coupled Oscillators / 7.2：
Synchronization with Time Delays / 7.3：
Synchronization via Aggregate Averaging / 7.4：
Synchronization via Causal Signaling / 7.5：
Synchronization and Object Recognition in Neural Networks / 7.6：
Synchronization Phenomena in Epidemics / 7.7：
Elements of Cognitive Systems Theory / 8：
Foundations of Cognitive Systems Theory / 8.1：
Basic Requirements for the Dynamics / 8.2.1：
Cognitive Information Processing Versus Diffusive Control / 8.2.2：
Basic Layout Principles / 8.2.3：
Learning and Memory Representations / 8.2.4：
Motivation, Benchmarks and Diffusive Emotional Control / 8.3：
Cognitive Tasks / 8.3.1：
Internal Benchmarks / 8.3.2：
Competitive Dynamics and Winning Coalitions / 8.4：
General Considerations / 8.4.1：
Associative Thought Processes / 8.4.2：
Autonomous Online Learning / 8.4.3：
Environmental Model Building / 8.5：
The Elman Simple Recurrent Network / 8.5.1：
Universal Prediction Tasks / 8.5.2：
Solutions / 9：
Solutions to the Exercises of Chapter 1
Solutions to the Exercises of Chapter 2
Solutions to the Exercises of Chapter 3
Solutions to the Exercises of Chapter 4
Solutions to the Exercises of Chapter 5
Solutions to the Exercises of Chapter 6
Solutions to the Exercises of Chapter 7
Solutions to the Exercises of Chapter 8
Index
Graph Theory and Small-World Networks / 1：
Graph Theory and Real-World Networks / 1.1：
The Small-World Effect / 1.1.1：
43.

電子ブック
ＥＢ
43. Recent Advances in the Processing of Wood-Plastic Composites
Jin-Kuk Kim, Kaushik Pal
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Overview of Wood-Plastic Composites and Uses / 1：
Introduction / 1.1：
Why WPC? / 1.2：
What is Wood? / 1.3：
Molecular Level / 1.3.1：
WPC in Automotive Applications: A Case Study / 1.4：
Impact of WPC on Humanity / 1.5：
Shopping / 1.5.1：
Grocery Cart versus Dent-Resistant Body Panel / 1.5.2：
Packaging / 1.5.3：
Light Weighting / 1.5.4：
Home Construction / 1.5.5：
End Life of WPC / 1.6：
Mechanical Recycling / 1.6.1：
Feedstock Recycling / 1.6.2：
Source Reduction / 1.6.3：
References
Surface Modifications in WPC with Pre-Treatment Methods / 2：
Polymers Used in WPC / 2.1：
High Density Polyethylene (HDPE) / 2.2.1：
Low Density Polyethylene (LDPE) / 2.2.2：
Polyvinyl Chloride (PVC) / 2.2.3：
Polypropylene (PP) / 2.2.4：
Polystyrene (PS) / 2.2.5：
What is Coupling Agents? / 2.3：
Classification of Coupling Agents / 2.4：
Acrylates / 2.4.1：
Amides and Imides / 2.4.2：
Anhydrides / 2.4.3：
Chlorotriazines and its Derivatives / 2.4.4：
Epoxides / 2.4.5：
Isocyanates / 2.4.6：
Grafting of Monomers / 2.4.7：
Polymers and Copolymers / 2.4.8：
Physical Treatments / 2.5：
Forces Involved in Adhesion / 2.5.1：
Mechanism of Adhesion with Respect to WPC / 2.5.2：
Plasma & Corona Treatment / 2.5.3：
Ozone Treatment / 2.5.4：
Chemical Treatments / 2.6：
Steam Explosion / 2.6.1：
Alkali Treatment / 2.6.2：
Stearic Acid and Wax Treatment / 2.6.3：
Some Novel (Enzymatic) Treatments / 2.7：
Process and Machinery Used for WPC / 3：
The Manufacturing Process / 3.1：
Polymer Matrix Composites / 3.2：
Resins / 3.2.1：
Thermosets / 3.2.2：
Thermoplastics / 3.2.3：
Reinforcements / 3.2.4：
Major Processes Involved for Composite Preparation / 3.3：
Description of Shaping Processes / 3.4：
Resin Formulation / 3.4.1：
Prepregging / 3.4.2：
Wet Filament Winding / 3.4.3：
Hand Lay-Up of Prepreg / 3.4.4：
Automated Tape Placement / 3.4.5：
Resin Transfer Molding / 3.4.6：
Pultrusion / 3.4.7：
Vacuum Bagging, Autoclave Cure / 3.4.8：
Operating Variables Affecting WPC Microcellular Foams / 3.5：
Injection Molding / 3.5.1：
Extrusion / 3.5.2：
Rheotens / 3.5.3：
Recent Past about WPC Work / 4：
Wood-fiber/Plastic Composites (WPCs) / 4.1：
Flammability of WPC / 4.2：
Polymeric Foams / 4.3：
Introduction of Polymeric Foams / 4.3.1：
Blowing Agents / 4.3.2：
Procedure / 4.3.3：
Fundamentals in Polymeric Foaming / 4.3.4：
Mechanical Properties / 4.3.5：
Thermoplastic Elastomers Foams / 4.3.6：
Effect of Compatibilizers in WPC Composites / 5：
Preparation PP/Wood-Fiber Composites by Twin Screw Extruder / 5.1：
Blending Process / 5.2.1：
Preparation and Analysis of Wood-Fiber/PP Composite Foams / 5.2.2：
Effect of Screw Configurations / 5.3：
Effect of Screw Speed / 5.4：
Effect of Silica Content / 5.5：
Effect of Various Compatibilizers / 5.6：
Effect of Compatibilizer on Crystallinity / 5.6.1：
Effect of Compatibilizers on Rheological Properties of PP/WF Composites / 5.6.2：
Effect of Compatibilizer on the Mechanical Properties and Morphology of PP/WF Composites / 5.6.3：
Effect of Compatibilizer on the Foaming Properties of PP/WF Composites / 5.6.4：
Flammability in WPC Composites / 6：
Preparation Wood-Fiber/PP Composites by Twin Screw Extruder / 6.1：
Mechanical Properties of PP/Wood Fibre Composites / 6.3：
Flame Retardancy of PP/Wood Fibre Composites / 6.5：
Thermal Degradation of PP/Wood Fibre Composites / 6.6：
Cone Calorimeter Study of PP/Wood Fibre Composites / 6.7：
SEM Morphological Observation / 6.8：
Batch Physical Foaming / 6.9：
Effect of APP and Silica / 6.9.1：
Effect of Saturation Pressure / 6.9.2：
Effect of Saturation Temperature / 6.9.3：
Expanded Wood Polymer Composites / 7：
Chemical Blowing Agents / 7.1：
Super Critical Foaming / 7.3：
Other Techniques / 7.4：
Microcellular Foaming Procedure / 7.5：
Free Foaming Extrusion Process / 7.5.1：
Batch Process / 7.5.2：
Factors and Problems Affecting Foaming of Wood Polymer Composites / 7.5.3：
Wood Plastic Composite Foam Applications / 8：
Wood-Fibre/Plastic Composite Foams (WPCs Foams) / 8.1：
Preparation of Expanded Wood-Fiber/PP Composite Pellet / 8.3：
Preparation of WPC Foamed Board / 8.5：
Effect of Temperature on the Density of WPC Foamed Board / 8.6：
Effect of Pressure on the Density of WPC Foamed Board / 8.7：
Effect of Plate Temperature on the Density of WPC Foamed Board / 8.8：
Conclusions / 9：
Index
Overview of Wood-Plastic Composites and Uses / 1：
Introduction / 1.1：
Why WPC? / 1.2：
44.

図書
図書
44. Nanostructures and nanomaterials : synthesis, properties, and applications. 2nd ed (: hardcover ; : pbk)
Guozhong Cao, Ying Wang
出版情報: Singapore : World Scientific, c2011  xiii, 581 p. ; 23 cm
シリーズ名: World scientific series in nanoscience and nanotechnology ; v. 2
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Preface to the Second Edition
Introduction / Chapter 1：
Emergence of Nanotechnology / 1.1：
Bottom-Up and Top-Down Approaches / 1.3：
Challenges in Nanotechnology / 1.4：
Scope of the Book / 1.5：
References
Physical Chemistry of Solid Surfaces / Chapter 2：
Surface Energy / 2.1：
Chemical Potential as a Function of Surface Curvature / 2.3：
Electrostatic Stabilization / 2.4：
Surface charge density / 2.4.1：
Electric potential at the proximity of solid surface / 2.4.2：
Van der Waals attraction potential / 2.4.3：
Interactions between two particles: DLVO theory / 2.4.4：
Steric Stabilization / 2.5：
Solvent and polymer / 2.5.1：
Interactions between polymer layers / 2.5.2：
Mixed steric and electric interactions / 2.5.3：
Summary / 2.6：
Zero-Dimensional Nanostructures: Nanoparticles / Chapter 3：
Nanoparticles Through Homogeneous Nucleation / 3.1：
Fundamentals of homogeneous nucleation / 3.2.1：
Subsequent growth of nuclei / 3.2.2：
Growth controlled by diffusion / 3.2.2.1：
Growth controlled by surface process / 3.2.2.2：
Synthesis of metallic nanoparticles / 3.2.3：
Influences of reduction reagents / 3.2.3.1：
Influences by other factors / 3.2.3.2：
Influences of polymer stabilizer / 3.2.3.3：
Synthesis of semiconductor nanoparticles / 3.2.4：
Synthesis of oxide nanoparticles / 3.2.5：
Introduction to sol-gel processing / 3.2.5.1：
Forced hydrolysis / 3.2.5.2：
Controlled release of ions / 3.2.5.3：
Vapor phase reactions / 3.2.6：
Solid-state phase segregation / 3.2.7：
Nanoparticles Through Heterogeneous Nucleation / 3.3：
Fundamentals of heterogeneous nucleation / 3.3.1：
Synthesis of nanoparticles / 3.3.2：
Kinetically Confined Synthesis of Nanoparticles / 3.4：
Synthesis inside micelles or using microemulsions / 3.4.1：
Aerosol synthesis / 3.4.2：
Growth termination / 3.4.3：
Spray pyrolysis / 3.4.4：
Template-based synthesis / 3.4.5：
Epitaxial Core-Shell Nanoparticles / 3.5：
One-Dimensional Nanostructures: Nanowires and Nanorods / 3.6：
Spontaneous Growth / 4.1：
Evaporation (dissolution)-condensation growth / 4.2.1：
Fundamentals of evaporation (dissolution)-condensation growth / 4.2.1.1：
Evaporation-condensation growth / 4.2.1.2：
Dissolution-condensation growth / 4.2.1.3：
Vapor (or solution)-liquid-solid (VLS or SLS) growth / 4.2.2：
Fundamental aspects of VLS and SLS growth / 4.2.2.1：
VLS growth of various nanowires / 4.2.2.2：
Control of the size of nanowires / 4.2.2.3：
Precursors and catalysts / 4.2.2.4：
Solution-liquid-solid growth / 4.2.2.5：
Stress-induced recrystallization / 4.2.3：
Template-Based Synthesis / 4.3：
Electrochemical deposition / 4.3.1：
Electrophoretic deposition / 4.3.2：
Template filling / 4.3.3：
Colloidal dispersion filling / 4.3.3.1：
Melt and solution filling / 4.3.3.2：
Chemical vapor deposition / 4.3.3.3：
Deposition by centrifugation / 4.3.3.4：
Converting through chemical reactions / 4.3.4：
Electrospinning / 4.4：
Lithography / 4.5：
Two-Dimensional Nanostructures: Thin Films / 4.6：
Fundamentals of Film Growth / 5.1：
Vacuum Science / 5.3：
Physical Vapor Deposition (PVD) / 5.4：
Evaporation / 5.4.1：
Molecular beam epitaxy (MBE) / 5.4.2：
Sputtering / 5.4.3：
Comparison of evaporation and sputtering / 5.4.4：
Chemical Vapor Deposition (CVD) / 5.5：
Typical chemical reactions / 5.5.1：
Reaction kinetics / 5.5.2：
Transport phenomena / 5.5.3：
CVD methods / 5.5.4：
Diamond films by CVD / 5.5.5：
Atomic Layer Deposition / 5.6：
Superlattices / 5.7：
Self-Assembly / 5.8：
Monolayers of organosilicon or alkylsilane derivatives / 5.8.1：
Monolayers of alkanethiols and sulfides / 5.8.2：
Monolayers of carboxylic acids, amines, and alcohols / 5.8.3：
Langmuir-Blodgett Films / 5.9：
Electrochemical Deposition / 5.10：
Sol-Gel Films / 5.11：
Special Nanomaterials / 5.12：
Carbon Fullerenes and Nanotubes / 6.1：
Carbon fullerenes / 6.2.1：
Fullerene-derived crystals / 6.2.2：
Carbon nanotubes / 6.2.3：
Micro and Mesoporous Materials / 6.3：
Ordered mesoporous structures / 6.3.1：
Random mesoporous structures / 6.3.2：
Crystalline microporous materials: Zeolites / 6.3.3：
Core-Shell Structures / 6.4：
Metal-oxide structures / 6.4.1：
Metal-polymer structures / 6.4.2：
Oxide-polymer nanostructures / 6.4.3：
Organic-Inorganic Hybrids / 6.5：
Class 1 hybrids / 6.5.1：
Class 2 hybrids / 6.5.2：
Intercalation Compounds / 6.6：
Nanocomposites and Nanograined Materials / 6.7：
Inverse Opals / 6.8：
Bio-Induced Nanomaterials / 6.9：
Nanostructures Fabricated by Physical Techniques / 6.10：
Photolithography / 7.1：
Phase-shifting photolithography / 7.2.2：
Electron beam lithography / 7.2.3：
X-ray lithography / 7.2.4：
Focused ion beam (FIB) lithography / 7.2.5：
Neutral atomic beam lithography / 7.2.6：
Nanomanipulation and Nanolithography / 7.3：
Scanning tunneling microscopy (STM) / 7.3.1：
Atomic force microscopy (AFM) / 7.3.2：
Near-field scanning optical microscopy (NSOM) / 7.3.3：
Nanomanipulation / 7.3.4：
Nanolithography / 7.3.5：
Soft Lithography / 7.4：
Microcontact printing / 7.4.1：
Molding / 7.4.2：
Nanoimprint / 7.4.3：
Dip-pen nanolithography / 7.4.4：
Assembly of Nanoparticles and Nanowires / 7.5：
Capillary forces / 7.5.1：
Dispersion interactions / 7.5.2：
Shear-force-assisted assembly / 7.5.3：
Electric-field-assisted assembly / 7.5.4：
Covalently linked assembly / 7.5.5：
Gravitational-field-assisted assembly / 7.5.6：
Template-assisted assembly / 7.5.7：
Other Methods for Microfabrication / 7.6：
Characterization and Properties of Nanomaterials / 7.7：
Structural Characterization / 8.1：
X-ray diffraction (XRD) / 8.2.1：
Small angle X-ray scattering (SAXS) / 8.2.2：
Scanning electron microscopy (SEM) / 8.2.3：
Transmission electron microscopy (TEM) / 8.2.4：
Scanning probe microscopy (SPM) / 8.2.5：
Gas adsorption / 8.2.6：
Chemical Characterization / 8.3：
Optical spectroscopy / 8.3.1：
Electron spectroscopy / 8.3.2：
Ion spectrometry / 8.3.3：
Physical Properties of Nanomaterials / 8.4：
Melting points and lattice constants / 8.4.1：
Mechanical properties / 8.4.2：
Optical properties / 8.4.3：
Surface plasmon resonance / 8.4.3.1：
Quantum size effects / 8.4.3.2：
Electrical conductivity / 8.4.4：
Surface scattering / 8.4.4.1：
Change of electronic structure / 8.4.4.2：
Quantum transport / 8.4.4.3：
Effect of microstructure / 8.4.4.4：
Ferroelectrics and dielectrics / 8.4.5：
Superparamagnetism / 8.4.6：
Applications of Nanomaterials / 8.5：
Molecular Electronics and Nanoelectronics / 9.1：
Nanobots / 9.3：
Biological Applications of Nanoparticles / 9.4：
Catalysis by Gold Nanoparticles / 9.5：
Bandgap Engineered Quantum Devices / 9.6：
Quantum well devices / 9.6.1：
Quantum dot devices / 9.6.2：
Nanomechanics / 9.7：
Carbon Nanotube Emitters / 9.8：
Energy Applications of Nanomaterials / 9.9：
Photoelectrochemical cells / 9.9.1：
Lithium-ion rechargeable batteries / 9.9.2：
Hydrogen storage / 9.9.3：
Thermoelectrics / 9.9.4：
Environmental Applications of Nanomaterials / 9.10：
Photonic Crystals and Plasmon Waveguides / 9.11：
Photonic crystals / 9.11.1：
Plasmon waveguides / 9.11.2：
Appendices / 9.12：
Index
Preface to the Second Edition
Introduction / Chapter 1：
Emergence of Nanotechnology / 1.1：
45.

図書
図書
45. Fourier analysis and nonlinear partial differential equations (: hbk ; : pbk)
Hajer Bahouri, Jean-Yves Chemin, Raphaël Danchin
出版情報: Heidelberg : Springer, c2011  xv, 523 p. ; 25 cm
シリーズ名: Die Grundlehren der mathematischen Wissenschaften ; 343
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Basic Analysis / 1：
Basic Real Anslysis / 1.1：
Holder and Convolution Inequslities / 1.1.1：
The Atomic Decomposition / 1.1.2：
Proof of Refined Young Inequslityp8 / 1.1.3：
A Bilinear Interpolation Theorem / 1.1.4：
A Linear Interpolation Result / 1.1.5：
The Hardy-Littlewood Maximal Function / 1.1.6：
The Fourier Transform / 1.2：
Fourier Transforms of Functions and the Schwartz Space / 1.2.1：
Tempered Distributions and the Fourier Transform / 1.2.2：
A Few Calculations of Fourier Transforms / 1.2.3：
Homogeneous Sobolev Spaces / 1.3：
Definition and Basic Properties / 1.3.1：
Sobolev Embedding in Lebesgue Spaces / 1.3.2：
The Limit Case Hd/2 / 1.3.3：
The Embedding Theorem in Hölder Spaces / 1.3.4：
Nonhomogeneous Sobolev Spaces on Rd / 1.4：
Embedding / 1.4.1：
A Density Theorem / 1.4.3：
Hardy Inequality / 1.4.4：
References and Remarks / 1.5：
Littlewood-Paley Theory / 2：
Functions with Compactly Supported Fourier Transforms / 2.1：
Bernstein-Type Lemmas / 2.1.1：
The Smoothing Effect of Heat Flow / 2.1.2：
The Action of a Diffeomorphism / 2.1.3：
The Effects of Some Nonlinear Functions / 2.1.4：
Dyadic Partition of Unity / 2.2：
Homogeneous Besov Spaces / 2.3：
Characterizations of Homogeneous Besov Spaces / 2.4：
Besov Spaces, Lebesgue Spaces, and Refined Inequalities / 2.5：
Homogeneous Paradifferential Calculus / 2.6：
Homogeneous Bony Decomposition / 2.6.1：
Action of Smooth Functions / 2.6.2：
Time-Space Besov Spaces / 2.6.3：
Nonhomogeneous Besov Spaces / 2.7：
Nonhomogeneous Paradifferential Calculus / 2.8：
The Bony Decomposition / 2.8.1：
The Paralinearization Theorem / 2.8.2：
Besov Spaces and Compact Embeddings / 2.9：
Commutator Estimates / 2.10：
Around the Space B&infty;,&infty;1 / 2.11：
Transport and Transport-Diffusion Equations / 2.12：
Ordinary Differential Equations / 3.1：
The Cauchy-Lipschitz Theorem Revisited / 3.1.1：
Estimates for the Flow / 3.1.2：
A Blow-up Criterion for Ordinary Differential Equations / 3.1.3：
Transport Equations: The Lipschitz Case / 3.2：
A Priori Estimates in General Besov Spaces / 3.2.1：
Refined Estimates in Besov Spaces with Index 0 / 3.2.2：
Solving the Transport Equation in Besov Spaces / 3.2.3：
Application to a Shallow Water Equation / 3.2.4：
Losing Estimates for Transport Equations / 3.3：
Linear Loss of Regularity in Besov Spaces / 3.3.1：
The Exponential Loss / 3.3.2：
Limited Loss of Regularity / 3.3.3：
A Few Applications / 3.3.4：
Transport-Diffusion Equations / 3.4：
A Priori Estimates / 3.4.1：
Exponential Decay / 3.4.2：
Quasilinear Symmetric Systems / 3.5：
Definition and Examples / 4.1：
Linear Symmetric Systems / 4.2：
The Well-posedness of Linear Symmetric Systems / 4.2.1：
Finite Propagation Speed / 4.2.2：
Further Well-posedness Results for Linear Symmetric Systems / 4.2.3：
The Resolution of Quasilinear Symmetric Systems / 4.3：
Paralinearization and Energy Estimates / 4.3.1：
Convergence of the Scheme / 4.3.2：
Completion of the Proof of Existence / 4.3.3：
Uniqueness and Continuation Criterion / 4.3.4：
Data with Critical Regularity and Blow-up Criteria / 4.4：
Critical Besov Regularity / 4.4.1：
A Refined Blow-up Crndition / 4.4.2：
Continuity of the Flow Map / 4.5：
The Incompressible Navier-Stokes System / 4.6：
Basic Facts Concerning the Navier-Stokes System / 5.1：
Well-posedness in Sobolev Spaces / 5.2：
A General Result / 5.2.1：
The Behavior of the Hd/2-1 Norm Near 0 / 5.2.2：
Results Related to the Structure of the System / 5.3：
The Particular Case of Dimension Two / 5.3.1：
The Case of Dimension Three / 5.3.2：
An Elementary Lp Approach / 5.4：
The Endpoint Space for Picard's Scheme / 5.5：
The Use of the L1-smoothing Effect of the Heat Flow / 5.6：
The Cannone-Meyer-Planchon Theorem Revisited / 5.6.1：
The Flow of the Solutions of the Navier-Stokes System / 5.6.2：
Anisotropic Viscosity / 5.7：
The Case of L2 Data with One Vertical Derivative in L2 / 6.1：
A Global Existence Result in Anisotropic Besov Spaces / 6.2：
Anisotropic Localization in Fourier Space / 6.2.1：
The Functional Framework / 6.2.2：
Statement of the Main Result / 6.2.3：
Some Technical Lemmas / 6.2.4：
The Proof of Existence / 6.3：
The Proof of Uniqueness / 6.4：
Euler System for Perfect Incompressible Fluids / 6.5：
Local Well-posedness Results for Inviscid Fluids / 7.1：
The Biot-Savart Law / 7.1.1：
Estimates for the Pressure / 7.1.2：
Another Formulation of the Euler System / 7.1.3：
Local Existence of Smooth Solutions / 7.1.4：
Uniqueness / 7.1.5：
Continuation Criteria / 7.1.6：
Global Existence Results in Dimension Two / 7.2：
Smooth Solutions / 7.2.1：
The Borderline Case / 7.2.2：
The Yudovich Theorem / 7.2.3：
The Inviscid Limit / 7.3：
Regularity Results for the Navier-Stokes System / 7.3.1：
The Smooth Case / 7.3.2：
The Rough Case / 7.3.3：
Viscous Vortex Patches / 7.4：
Results Related to Striated Regularity / 7.4.1：
A Stationary Estimate for the Velocity Field / 7.4.2：
Uniform Estimates for Striated Regularity / 7.4.3：
A Global Convergence Result for Striated Regularity / 7.4.4：
Application to Smooth Vortex Patches / 7.4.5：
Strichartz Estimates and Applications to Semilinear Dispersive Equations / 7.5：
Examples of Dispersive Estimates / 8.1：
The Dispersive Estimate for the Free Transport Equation / 8.1.1：
The Dispersive Estimates for the Schrdillger Equation / 8.1.2：
Integral of Oscillating Functions / 8.1.3：
Dispersive Estimates for the Wave Equation / 8.1.4：
The L2 Boundedness of Some Fourier Integral Operators / 8.1.5：
Billnear Methods / 8.2：
The Duality Method and the TT* Argument / 8.2.1：
Strichartz Estimates: The Case q > 2 / 8.2.2：
Strichartz Estimates: The Endpoint Case q = 2 / 8.2.3：
Application to the Cubic Semilinear Schrödinger Equation / 8.2.4：
Strichartz Estimates for the Wave Equation / 8.3：
The Basic Strichartz Estimate / 8.3.1：
The Refined Strichartz Estimate / 8.3.2：
The Qulntic Wave Equation in R3 / 8.4：
The Cubic Wave Equation in R3 / 8.5：
Solutions in H1 / 8.5.1：
Local and Global Well-posedness for Rough Data / 8.5.2：
The Nonlinear Interpolation Method / 8.5.3：
Application to a Class of Semilinear Wave Equations / 8.6：
Smoothing Effect in Quasilinear Wave Equations / 8.7：
A Well-posedness Result Based on an Energy Method / 9.1：
The Main Statement and the Strategy of its Proof / 9.2：
Refined Paralinearization of the Wave Equation / 9.3：
Reduction to a Microlocal Strichartz Estimate / 9.4：
Microlocal Strichartz Estimates / 9.5：
A Rather General Statement / 9.5.1：
Geometrical Optics / 9.5.2：
The Solution of the Eikonal Equation / 9.5.3：
The Transport Equation / 9.5.4：
The Approximation Theorem / 9.5.5：
The Proof of Theorem 9.16 / 9.5.6：
The Compressible Navier-Stokes System / 9.6：
About the Model / 10.1：
General Overview / 10.1.1：
The Barotropic Navier-Stokes Equations / 10.1.2：
Local Theory for Data with Critical Regularity / 10.2：
Scaling Invariance and Statement of the Main Result / 10.2.1：
Existence of a Local Solution / 10.2.2：
A Continuation Criterion / 10.2.4：
Local Theory for Data Bounded Away from the Vacuum / 10.3：
A Priori Estimates for the Linearized Momentum Equation / 10.3.1：
Global Existence for Small Data / 10.3.2：
Statement of the Results / 10.4.1：
A Spectral Analysis of the Linearized Equation / 10.4.2：
A Prioli Estimates for the Linearized Equation / 10.4.3：
Proof of Global Existence / 10.4.4：
The Incompressible Limit / 10.5：
Main Results / 10.5.1：
The Case of Small Data with Critical Regularity / 10.5.2：
The Case of Large Data with More Regularity / 10.5.3：
References / 10.6：
List of Notations
Index
Basic Analysis / 1：
Basic Real Anslysis / 1.1：
Holder and Convolution Inequslities / 1.1.1：
46.

電子ブック
ＥＢ
46. Fourier Analysis and Nonlinear Partial Differential Equations
Hajer Bahouri, Jean-Yves Chemin, Raphaël Danchin
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
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Basic Analysis / 1：
Basic Real Anslysis / 1.1：
Holder and Convolution Inequslities / 1.1.1：
The Atomic Decomposition / 1.1.2：
Proof of Refined Young Inequslityp8 / 1.1.3：
A Bilinear Interpolation Theorem / 1.1.4：
A Linear Interpolation Result / 1.1.5：
The Hardy-Littlewood Maximal Function / 1.1.6：
The Fourier Transform / 1.2：
Fourier Transforms of Functions and the Schwartz Space / 1.2.1：
Tempered Distributions and the Fourier Transform / 1.2.2：
A Few Calculations of Fourier Transforms / 1.2.3：
Homogeneous Sobolev Spaces / 1.3：
Definition and Basic Properties / 1.3.1：
Sobolev Embedding in Lebesgue Spaces / 1.3.2：
The Limit Case Hd/2 / 1.3.3：
The Embedding Theorem in Hölder Spaces / 1.3.4：
Nonhomogeneous Sobolev Spaces on Rd / 1.4：
Embedding / 1.4.1：
A Density Theorem / 1.4.3：
Hardy Inequality / 1.4.4：
References and Remarks / 1.5：
Littlewood-Paley Theory / 2：
Functions with Compactly Supported Fourier Transforms / 2.1：
Bernstein-Type Lemmas / 2.1.1：
The Smoothing Effect of Heat Flow / 2.1.2：
The Action of a Diffeomorphism / 2.1.3：
The Effects of Some Nonlinear Functions / 2.1.4：
Dyadic Partition of Unity / 2.2：
Homogeneous Besov Spaces / 2.3：
Characterizations of Homogeneous Besov Spaces / 2.4：
Besov Spaces, Lebesgue Spaces, and Refined Inequalities / 2.5：
Homogeneous Paradifferential Calculus / 2.6：
Homogeneous Bony Decomposition / 2.6.1：
Action of Smooth Functions / 2.6.2：
Time-Space Besov Spaces / 2.6.3：
Nonhomogeneous Besov Spaces / 2.7：
Nonhomogeneous Paradifferential Calculus / 2.8：
The Bony Decomposition / 2.8.1：
The Paralinearization Theorem / 2.8.2：
Besov Spaces and Compact Embeddings / 2.9：
Commutator Estimates / 2.10：
Around the Space B&infty;,&infty;1 / 2.11：
Transport and Transport-Diffusion Equations / 2.12：
Ordinary Differential Equations / 3.1：
The Cauchy-Lipschitz Theorem Revisited / 3.1.1：
Estimates for the Flow / 3.1.2：
A Blow-up Criterion for Ordinary Differential Equations / 3.1.3：
Transport Equations: The Lipschitz Case / 3.2：
A Priori Estimates in General Besov Spaces / 3.2.1：
Refined Estimates in Besov Spaces with Index 0 / 3.2.2：
Solving the Transport Equation in Besov Spaces / 3.2.3：
Application to a Shallow Water Equation / 3.2.4：
Losing Estimates for Transport Equations / 3.3：
Linear Loss of Regularity in Besov Spaces / 3.3.1：
The Exponential Loss / 3.3.2：
Limited Loss of Regularity / 3.3.3：
A Few Applications / 3.3.4：
Transport-Diffusion Equations / 3.4：
A Priori Estimates / 3.4.1：
Exponential Decay / 3.4.2：
Quasilinear Symmetric Systems / 3.5：
Definition and Examples / 4.1：
Linear Symmetric Systems / 4.2：
The Well-posedness of Linear Symmetric Systems / 4.2.1：
Finite Propagation Speed / 4.2.2：
Further Well-posedness Results for Linear Symmetric Systems / 4.2.3：
The Resolution of Quasilinear Symmetric Systems / 4.3：
Paralinearization and Energy Estimates / 4.3.1：
Convergence of the Scheme / 4.3.2：
Completion of the Proof of Existence / 4.3.3：
Uniqueness and Continuation Criterion / 4.3.4：
Data with Critical Regularity and Blow-up Criteria / 4.4：
Critical Besov Regularity / 4.4.1：
A Refined Blow-up Crndition / 4.4.2：
Continuity of the Flow Map / 4.5：
The Incompressible Navier-Stokes System / 4.6：
Basic Facts Concerning the Navier-Stokes System / 5.1：
Well-posedness in Sobolev Spaces / 5.2：
A General Result / 5.2.1：
The Behavior of the Hd/2-1 Norm Near 0 / 5.2.2：
Results Related to the Structure of the System / 5.3：
The Particular Case of Dimension Two / 5.3.1：
The Case of Dimension Three / 5.3.2：
An Elementary Lp Approach / 5.4：
The Endpoint Space for Picard's Scheme / 5.5：
The Use of the L1-smoothing Effect of the Heat Flow / 5.6：
The Cannone-Meyer-Planchon Theorem Revisited / 5.6.1：
The Flow of the Solutions of the Navier-Stokes System / 5.6.2：
Anisotropic Viscosity / 5.7：
The Case of L2 Data with One Vertical Derivative in L2 / 6.1：
A Global Existence Result in Anisotropic Besov Spaces / 6.2：
Anisotropic Localization in Fourier Space / 6.2.1：
The Functional Framework / 6.2.2：
Statement of the Main Result / 6.2.3：
Some Technical Lemmas / 6.2.4：
The Proof of Existence / 6.3：
The Proof of Uniqueness / 6.4：
Euler System for Perfect Incompressible Fluids / 6.5：
Local Well-posedness Results for Inviscid Fluids / 7.1：
The Biot-Savart Law / 7.1.1：
Estimates for the Pressure / 7.1.2：
Another Formulation of the Euler System / 7.1.3：
Local Existence of Smooth Solutions / 7.1.4：
Uniqueness / 7.1.5：
Continuation Criteria / 7.1.6：
Global Existence Results in Dimension Two / 7.2：
Smooth Solutions / 7.2.1：
The Borderline Case / 7.2.2：
The Yudovich Theorem / 7.2.3：
The Inviscid Limit / 7.3：
Regularity Results for the Navier-Stokes System / 7.3.1：
The Smooth Case / 7.3.2：
The Rough Case / 7.3.3：
Viscous Vortex Patches / 7.4：
Results Related to Striated Regularity / 7.4.1：
A Stationary Estimate for the Velocity Field / 7.4.2：
Uniform Estimates for Striated Regularity / 7.4.3：
A Global Convergence Result for Striated Regularity / 7.4.4：
Application to Smooth Vortex Patches / 7.4.5：
Strichartz Estimates and Applications to Semilinear Dispersive Equations / 7.5：
Examples of Dispersive Estimates / 8.1：
The Dispersive Estimate for the Free Transport Equation / 8.1.1：
The Dispersive Estimates for the Schrdillger Equation / 8.1.2：
Integral of Oscillating Functions / 8.1.3：
Dispersive Estimates for the Wave Equation / 8.1.4：
The L2 Boundedness of Some Fourier Integral Operators / 8.1.5：
Billnear Methods / 8.2：
The Duality Method and the TT* Argument / 8.2.1：
Strichartz Estimates: The Case q > 2 / 8.2.2：
Strichartz Estimates: The Endpoint Case q = 2 / 8.2.3：
Application to the Cubic Semilinear Schrödinger Equation / 8.2.4：
Strichartz Estimates for the Wave Equation / 8.3：
The Basic Strichartz Estimate / 8.3.1：
The Refined Strichartz Estimate / 8.3.2：
The Qulntic Wave Equation in R3 / 8.4：
The Cubic Wave Equation in R3 / 8.5：
Solutions in H1 / 8.5.1：
Local and Global Well-posedness for Rough Data / 8.5.2：
The Nonlinear Interpolation Method / 8.5.3：
Application to a Class of Semilinear Wave Equations / 8.6：
Smoothing Effect in Quasilinear Wave Equations / 8.7：
A Well-posedness Result Based on an Energy Method / 9.1：
The Main Statement and the Strategy of its Proof / 9.2：
Refined Paralinearization of the Wave Equation / 9.3：
Reduction to a Microlocal Strichartz Estimate / 9.4：
Microlocal Strichartz Estimates / 9.5：
A Rather General Statement / 9.5.1：
Geometrical Optics / 9.5.2：
The Solution of the Eikonal Equation / 9.5.3：
The Transport Equation / 9.5.4：
The Approximation Theorem / 9.5.5：
The Proof of Theorem 9.16 / 9.5.6：
The Compressible Navier-Stokes System / 9.6：
About the Model / 10.1：
General Overview / 10.1.1：
The Barotropic Navier-Stokes Equations / 10.1.2：
Local Theory for Data with Critical Regularity / 10.2：
Scaling Invariance and Statement of the Main Result / 10.2.1：
Existence of a Local Solution / 10.2.2：
A Continuation Criterion / 10.2.4：
Local Theory for Data Bounded Away from the Vacuum / 10.3：
A Priori Estimates for the Linearized Momentum Equation / 10.3.1：
Global Existence for Small Data / 10.3.2：
Statement of the Results / 10.4.1：
A Spectral Analysis of the Linearized Equation / 10.4.2：
A Prioli Estimates for the Linearized Equation / 10.4.3：
Proof of Global Existence / 10.4.4：
The Incompressible Limit / 10.5：
Main Results / 10.5.1：
The Case of Small Data with Critical Regularity / 10.5.2：
The Case of Large Data with More Regularity / 10.5.3：
References / 10.6：
List of Notations
Index
Basic Analysis / 1：
Basic Real Anslysis / 1.1：
Holder and Convolution Inequslities / 1.1.1：
47.

電子ブック
ＥＢ
47. Self‐Healing Polymers and Polymer Composites
Ming Qiu Zhang, Min Zhi Rong
出版情報: Wiley Online Library - AutoHoldings Books , John Wiley & Sons, Incorporated, 2011
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Preface
Basics of Self-Healing: State of the Art / 1：
Background / 1.1：
Adhesive Bonding for Healing Thermosetting Materials / 1.1.1：
Fusion Bonding for Healing Thermoplastic Materials / 1.1.2：
Bioinspired Self-Healing / 1.1.3：
Intrinsic Self-Healing / 1.2：
Self-Healing Based on Physical Interactions / 1.2.1：
Self-Healing Based on Chemical Interactions / 1.2.2：
Self-Healing Based on Supramolecular Interactions / 1.2.3：
Extrinsic Self-Healing / 1.3：
Self-Healing in Terms of Healant Loaded Pipelines / 1.3.1：
Self-Healing in Terms of Healant Loaded Microcapsules / 1.3.2：
Insights for Future Work / 1.4：
References
Theoretical Consideration and Modeling / 2：
Molecular Mechanisms / 2.1：
Self-Healing Below Glass Transition Temperature / 2.1.1：
Self-Healing Above Glass Transition Temperature / 2.1.2：
Healing Modeling / 2.2：
Percolation Modeling / 2.2.1：
Continuum and Molecular-Level Modeling of Fatigue Crack Retardation / 2.2.2：
Continuum Damage and Healing Mechanics / 2.2.3：
Discrete Element Modeling and Numerical Study / 2.2.4：
Design of Self-Healing Composites / 2.3：
Entropy Driven Self-Assembly of Nanoparticles / 2.3.1：
Optimization of Microvascular Networks / 2.3.2：
Concluding Remarks, 105 References / 2.4：
Extrinsic Self-Healing via Addition Polymerization / 3：
Design and Selection of Healing System / 3.1：
Microencapsulation of Mercaptan and Epoxy by in situ Polymerization / 3.2：
Microencapsulation of Mercaptan / 3.2.1：
Microencapsulation of Epoxy / 3.2.2：
Characterization of Self-Healing Functionality / 3.3：
Self-Healing Epoxy Materials with Embedded Dual Encapsulated Healant: Healing of Crack Due to Monotonic Fracture / 3.3.1：
Factors Related to Performance Improvement / 3.3.2：
Self-Healing Epoxy Materials with Embedded Dual Encapsulated Healant: Healing of Fatigue Crack / 3.3.3：
Self-Healing Epoxy/Glass Fabric Composites with Embedded Dual Encapsulated Healant: Healing of Impact Damage / 3.3.4：
Concluding Remarks / 3.4：
Extrinsic Self-Healing via Cationic Polymerization / 4：
Microencapsulation of Epoxy by UV Irradiation-Induced Interfacial Copolymerization / 4.1：
Encapsulation of Boron-Containing Curing Agent / 4.2：
Loading Boron-Containing Curing Agent onto Porous Media / 4.2.1：
Microencapsulation of Boron-Containing Curing Agent via Hollow Capsules Approach / 4.2.2：
Self-Healing Epoxy Materials with Embedded Epoxy-Loaded Microcapsules and (C2H5)2O.BF3-Loaded Sisal / 4.3：
Self-Healing Epoxy Materials with Embedded Dual Encapsulated Healant / 4.3.2：
Extrinsic Self-Healing via Anionic Polymerization / 4.4：
Preparation of Epoxy-Loaded Microcapsules and Latent Hardener / 5.1：
Microencapsulation of Epoxy by in situ Condensation / 5.1.1：
Preparation of Imidazole Latent Hardener / 5.1.2：
Self-Healing Epoxy Materials with Embedded Epoxy-Loaded Microcapsules and Latent Hardener / 5.2：
Self-Healing Epoxy/Woven Glass Fabric Composites with Embedded Epoxy-Loaded Microcapsules and Latent Hardener: Healing of Interlaminar Failure / 5.3：
Durability of Healing Ability / 5.4：
Self-Healing Epoxy/Woven Glass Fabric Composites with Embedded Epoxy-Loaded Microcapsules and Latent Hardener: Healing of Impact Damage / 5.5：
Extrinsic Self-Healing via Miscellaneous Reactions / 5.6：
Extrinsic Self-Healing via Nucleophilic Addition and Ring-Opening Reactions / 6.1：
Microencapsulation of GMA by in situ Polymerization / 6.1.1：
Self-Healing Epoxy Materials with Embedded Single-Component Healant / 6.1.2：
Extrinsic Self-Healing via Living Polymerization / 6.2：
Preparation of Living PMMA and Its Composites with GMA-Loaded Microcapsules / 6.2.1：
Extrinsic Self-Healing via Free Radical Polymerization / 6.2.2：
Microencapsulation of Styrene and BPO / 6.3.1：
Self-Healing Performance of Epoxy Filled with Dual Capsules / 6.3.2：
Intrinsic Self-Healing via Diels-Alder Reaction / 6.4：
Molecular Design and Synthesis / 7.1：
Synthesis and Characterization of DGFA / 7.1.1：
Reversibility of DA Bonds and Crack Remendability of DGFA Based Polymer / 7.1.2：
Synthesis and Characterization of FGE / 7.1.3：
Reversibility of DA Bonds and Crack Remendability of FGE-Based Polymer / 7.1.4：
Blends of DGFA and FGE / 7.2：
Reversibility of DA Bonds / 7.2.1：
Crack Remendability of Cured DGFA/FGE Blends / 7.2.2：
Concluding Remarks, 374 References / 7.3：
Applications / 8：
Coatings and Films / 8.1：
Elastomers / 8.2：
Smart Composites / 8.3：
Tires / 8.4：
Appendix: Nomenclature / 8.5：
Index
Preface
Basics of Self-Healing: State of the Art / 1：
Background / 1.1：
48.

電子ブック
ＥＢ
48. Adaptive Moving Mesh Methods
Weizhang Huang, Robert D. Russell
出版情報: SpringerLink Books - AutoHoldings , Springer New York, 2011
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Introduction / 1：
A model problem / 1.1：
A moving finite difference method / 1.2：
Finite difference method on a fixed mesh / 1.2.1：
Finite difference method on an adaptive moving mesh / 1.2.2：
A moving finite element method / 1.3：
Finite element method on a fixed mesh / 1.3.1：
Finite element method on an adaptive moving mesh / 1.3.2：
Burgers'equation with an exact solution / 1.4：
Basic components of a moving mesh method / 1.5：
Mesh movement strategies / 1.5.1：
Discretization of PDEs on a moving mesh / 1.5.2：
Simultaneous or alternate solution / 1.5.3：
Biographical notes / 1.6：
Exercises / 1.7：
Adaptive Mesh Movement in ID / 2：
The equidistribution principle / 2.1：
Equidistribution / 2.1.1：
Optimality of equidistribution / 2.1.2：
Equidistributing meshes as uniform meshes in a metric space / 2.1.3：
Another view of equidistribution / 2.1.4：
Computation of equidistributing meshes / 2.2：
De Boor's algorithm / 2.2.1：
Bvp method / 2.2.2：
Moving mesh PDEs / 2.3：
MMPDEs in terms of coordinate transformation / 2.3.1：
MMPDEs in terms of inverse coordinate transformation / 2.3.2：
Mesh density functions based on interpolation enor / 2.4：
Interpolation error estimates / 2.4.1：
Optimal mesh density functions / 2.4.2：
Enor bounds for commonly used non-optimal mesh density functions / 2.4.3：
Summary of mesh density functions and error bounds / 2.4.4：
Error bounds for a function with boundary layer / 2.4.5：
Computation of mesh density functions and examples / 2.5：
Recovery of solution derivatives / 2.5.1：
Smoothing of mesh density functions and smoothed MMPDEs / 2.5.2：
Mesh density functions for solutions with multicomponents / 2.5.3：
Examples with analytical functions / 2.5.4：
Alternate solution procedures / 2.6：
Alternate solution with quasi-Lagrange treatment of mesh movement / 2.6.1：
Rezoning treatment of mesh movement / 2.6.2：
Interpolation on moving meshes / 2.6.3：
Examples of applications / 2.7：
Mesh density functions based on scaling invariance / 2.8：
Dimensional analysis, scaling invariance, and dominance of equidistribution / 2.8.1：
MMPDEs with constant / 2.8.2：
MMPDE5 with variable / 2.8.3：
Numerical results / 2.8.4：
Mesh density functions based on a posteriori error estimates / 2.9：
An a priori error estimate / 2.9.1：
An a posteriori error estimate / 2.9.2：
Optimal mesh density function and convergence results / 2.9.3：
Iterative algorithm for computing equidistributing meshes and numerical examples / 2.9.4：
Biographical noteS / 2.10：
Discretization of PDEs on Time-Varying Meshes / 2.11：
Coordinate transformations / 3.1：
Coordinate transformation as a mesh / 3.1.1：
Transformation relations / 3.1.2：
Transformed structure of PDEs / 3.1.3：
Transformation relations in 2D / 3.1.4：
Finite difference methods / 3.2：
The quasi-Lagrange approach / 3.2.1：
The rezoning approach / 3.2.2：
Finite element methods / 3.3：
Concepts of unstructured meshes and finite elements / 3.3.1：
Simplicial elements and d-simplexes / 3.3.2：
Two-mesh strategy for mesh movement / 3.3.3：
Linear interpolation / 3.5：
PDE-based interpolation / 3.5.2：
Basic Principles of Multidimensional Mesh Adaptation / 3.6：
Mesh adaptation from perspective of uniform meshes in a metric space / 4.1：
Mathematical description of M-uniform meshes / 4.1.1：
Equidistribution and alignment conditions / 4.1.2：
Mesh control perspective / 4.2：
Jacobian matrix and size, shape, and orientation of mesh elements / 4.2.1：
Mesh adaptation via metric specification / 4.2.2：
Geometric interpretations of mesh equidistribution and alignment / 4.2.3：
Special case: scalar monitor functions / 4.2.4：
Continuous perspective / 4.3：
Function approximation perspective / 4.4：
Mesh quality measures / 4.5：
Analytical and numerical examples / 4.6：
Monitor Functions / 4.7：
Interpolation theory in Sobolev spaces / 5.1：
Error estimates for linear Lagrange interpolation at vertices / 5.1.1：
A classical result / 5.1.2：
Relations between norms on affine-equivalent elements / 5.1.3：
Isotropic error bounds / 5.1.4：
Anisotropic error bounds: Case I=1 / 5.1.5：
Anisotropic error bounds: Case I>2 / 5.1.6：
Interpolation error on element faces / 5.1.7：
Monitor functions based on interpolation error / 5.2：
Monitor function based on isotropic error estimates / 5.2.1：
Monitor function based on anisotropic error estimates: I = 1 / 5.2.2：
Monitor function based on anisotropic error estimates: I = 2 / 5.2.3：
The Hessian as the monitor function / 5.2.4：
Summary of formulas-continuous form / 5.2.5：
Computation of monitor functions / 5.3：
Computation of the absolute value of Hessian matrix / 5.3.1：
Smoothing / 5.3.3：
Monitor functions for multicomponent solutions / 5.3.4：
Monitor functions based on semi-a posteriori and a posteriori error estimates / 5.4：
A semi-a posteriori method / 5.4.1：
A hierarchical basis method / 5.4.2：
Additional considerations for defining monitor functions / 5.5：
Monitor functions based on distance to interfaces / 5.5.1：
Monitor functions based on a reference mesh / 5.5.2：
Variational Mesh Adaptation Methods / 5.6：
General framework for variational methods and MMPDEs / 6.1：
General adaptation functional and mesh equations / 6.1.1：
Boundary conditions for coordinate transformation / 6.1.2：
Existence of minimizer / 6.2：
Convex functionals / 6.2.1：
Polyconvex functionals / 6.2.2：
Examples of convex and polyconvex mesh adaptation functionals / 6.2.3：
Discretization and solution procedures / 6.3：
Methods based on equidistribution and alignment conditions / 6.3.1：
Functional tor mesh alignment / 6.4.1：
Functional for equidistribution / 6.4.2：
Mesh adaptation functional / 6.4.3：
Another mesh adaptation functional / 6.4.4：
Numerical examples / 6.4.5：
Methods based on physical and geometric models / 6.5：
Variable diffusion methods / 6.5:1：
Harmonic mapping methods / 6.5.2：
Hybrid methods and directional control / 6.5.3：
Jacobian-weighted methods / 6.5.4：
Methods based on mechanical models / 6.5.5：
Methods based on Monge-Ampere equation Monge-Kantorovich optimal transport problem / 6.5.6：
Summary / 6.5.7：
Exaruples of applications / 6.6：
Velocity-Based Adaptive Methods / 6.7：
Methods based on geometric conservation law / 7.1：
GCLmethod / 7.1.1：
Deformation map method / 7.1.2：
Static version / 7.1.3：
A moving mesh finite element method based on GCL / 7.1.4：
MPE-moving finite element method / 7.2：
Other approaches / 7.3：
Method based on attraction-repulsion / 7.3.1：
Methods based on spring models / 7.3.2：
Methods based on minimizing convection tenus / 7.3.3：
Soholev spaces / 7.4：
Arithmetic-mean geometric-mean inequality and Jensen's hiequaIity / B：
References
Nomenelatnre
Index
Introduction / 1：
A model problem / 1.1：
A moving finite difference method / 1.2：
49.

電子ブック
ＥＢ
49. Principles of Stellar Interferometry
Andreas Glindemann
出版情報: SpringerLink Books - AutoHoldings , Springer Berlin Heidelberg, 2011
所蔵情報: loading…
目次情報: 続きを見る
Introduction / 1：
Propagation of Light / 2：
Preliminaries / 2.1：
Basic Properties of the Electromagnetic Wave / 2.1.1：
Young's Experiment / 2.1.2：
Scalar Diffraction Theory / 2.2：
The Rayleigh-Sommerfeld Diffraction Formula / 2.2.1：
Fresnel Approximation / 2.2.2：
The Airy Disk / 2.2.3：
The Coherence Function / 2.3：
Varieties of the Coherence Function / 2.3.1：
Generalised van Cittert-Zernike Theorem / 2.3.2：
Incoherent Sources of Light: Stars / 2.3.3：
Quasi-Monochromatic Approximation / 2.3.4：
Young's Experiment Revisited / 2.4：
The Coherence Function in Young's Experiment / 2.4.1：
ABCD Method / 2.4.2：
Power Spectrum of the Fringe Pattern / 2.4.3：
Heuristic Approach / 2.4.4：
Higher Order Correlation Functions: Intensity Interferometry / 2.5：
Imaging Process: Propagation Through Optical Systems / 3：
Fourier Optics / 3.1：
The Optical Transfer Function / 3.1.1：
Optical Aberrations: The Zernike Polynomials / 3.1.2：
Image Intensity Distribution / 3.2：
Coherent Imaging / 3.2.2：
Coherence Properties in the Image Plane / 3.2.3：
Propagation Through Interferometers / 3.3：
Young's Experiment with a Lens / 3.3.1：
Apertures of Finite Size / 3.3.2：
Spectra of Finite Width / 3.3.3：
Objects of Finite Size / 3.3.4：
Considerations on the Interferometric Field of View / 3.3.5：
Masked Field of View / 3.3.6：
The uv-Plane / 3.4：
Large Apertures, Short Baseline: The LBT / 3.4.1：
Large Apertures, Long Baselines: The VLTI / 3.4.2：
Image Reconstruction: General Principles / 3.4.3：
Atmospheric Turbulence / 4：
Kolmogorov Turbulence / 4.1：
First Principles / 4.1.1：
Index of Refraction Fluctuations / 4.1.2：
Statistical Properties of the Perturbed Complex Wave / 4.2：
Thin Layer Turbulence Model / 4.2.1：
Multiple Layers, the Fried Parameter / 4.2.2：
Anisoplanatic and Temporal Effects / 4.2.3：
Propagation Through Optical Systems / 4.3：
Fringe Motion / 4.3.1：
Image Motion / 4.3.2：
Zernike Representation of Atmospheric Turbulence / 4.3.3：
Scintillation / 4.3.4：
Speckle Pattern and Seeing Disk / 4.3.5：
Speckle Interferometry / 4.4：
Instrumental Techniques / 5：
Combination of Two Telescopes / 5.1：
Fizeau Configuration / 5.1.1：
Michelson Configuration / 5.1.2：
Co-Axial Combination / 5.1.3：
Multi-Aperture Combination: Michelson Configuration / 5.2：
Multi-Axial and Co-Axial Combination / 5.2.1：
Aspects of Beam Combination / 5.2.2：
Multi-Aperture Combination: Direct Imaging / 5.3：
Hypertelescope / 5.3.1：
Interferometric Remapped Array Nulling: IRAN / 5.3.3：
Nulling Interferometer / 5.3.4：
Layout of Interferometer Arrays / 5.4：
Many Apertures / 5.4.1：
Few Apertures / 5.4.2：
Delay Lines / 5.4.3：
Observing Through Atmospheric Turbulence / 6：
Visibility Measurement Through Atmospheric Turbulence / 6.1：
Beating Atmospheric Turbulence / 6.1.1：
Fringe Tracking / 6.2.1：
Dual-Feed System / 6.2.2：
Closure Phase / 6.2.3：
Adaptive Optics / 6.3：
Wave Front Sensing / 6.3.1：
Closed Loop Operation / 6.3.2：
Modern Interferometers / 7：
Appendix / A：
The Fourier Transform / A.1：
Atmospheric Transmission Bands / A.2：
References
Index
Introduction / 1：
Propagation of Light / 2：
Preliminaries / 2.1：
50.

図書

東工大
目次DB
図書
東工大
目次DB
50. Rリファレンスブック
赤間世紀著
出版情報: 東京 : カットシステム, 2011.11  xiv, 408p ; 21cm
所蔵情報: loading…
目次情報: 続きを見る
第1章　統計ソフトR 1
   1.1　Rの歴史 2
   1.2　Rの機能 3
   1.3　本書の使用法 4
   1.4　構文の構成 4
第2章　基本項目
   2.1　データ属性 8
   　2.1.1 attr 8
   　2.1.2 attributes 9
   　2.1.3 comment 10
   　2.1.4 length 11
   　2.1.5 names 12
   　2.1.6 NULL 13
   　2.1.7 numeric 14
   　2.1.8 structure 15
   　2.1.9 typeof 15
   2.2　日付と時間 16
   　2.2.1 Sys.time 16
   　2.2.2 Sys.Date 17
   　2.2.3 date 17
   　2.2.4 as.POSIX 18
   　2.2.5 difftime 19
   　2.2.6 strptime 20
   　2.2.7 weekdays 21
   　2.2.8 months 22
   　2.2.9 Date 22
   　2.2.10 DateTimeClasses 23
   2.3　データタイプ 25
   　2.3.1 integer 25
   　2.3.2 numeric 26
   　2.3.3 double 27
   　2.3.4 complex 29
   　2.3.5 character 30
   　2.3.6 logical 31
   　2.3.7 vector 33
   　2.3.8 matrix 34
   　2.3.9 data.frame 35
   　2.3.10 array 37
   　2.3.11 list 39
   　2.3.12 seq 41
   　2.3.13 NA 42
   　2.3.14 is.finit 43
   2.4　基本システム変数 44
   　2.4.1 commandArgs 44
   　2.4.2 LETTERS 45
   　2.4.3 NULL 46
   　2.4.4 Random 47
   　2.4.5 R.Version 48
   2.5　データセット
   　2.5.1 ability.cov 50
   　2.5.2 airmiles 51
   　2.5.3 AirPassengers 52
   　2.5.4 airquality 53
   　2.5.5 anscombe 54
   　2.5.6 attenu 55
   　2.5.7 attitude 56
   　2.5.8 austres 57
   　2.5.9 beaver 58
   　2.5.10 BJsales 59
   　2.5.11 BOD 61
   　2.5.12 cars 62
   　2.5.13 ChickWeight 63
   　2.5.14 chickwts 64
   　2.5.15 C02 65
   　2.5.16 co2 66
   　2.5.17 crimtab67
   　2.5.18 discoveries 68
   　2.5.19 DNase 69
   　2.5.20 esoph 70
   　2.5.21 euro 71
   　2.5.22 eurodist 73
   　2.5.23 EuStockMarkets 75
   　2.5.24 faithful 76
   　2.5.25 Formaldehyde 77
   　2.5.26 freeny 78
   　2.5.27 HairEyeColor 80
   　2.5.28 Harman23.cor 81
   　2.5.29 Harman74.cor 82
   　2.5.30 Indometh 83
   　2.5.31 infert 84
   　2.5.32 InsectSprays 86
   　2.5.33 iris 87
   　2.5.34 islands 88
   　2.5.35 JohnsonJohnson 90
   　2.5.36 LakeHuron 91
   　2.5.37 lh 92
   　2.5.38 LifeCycleSavings 92
   　2.5.39 Loblolly 94
   　2.5.40 longley 95
   　2.5.41 lynx 96
   　2.5.42 morley 97
   　2.5.43 mtcars 98
   　2.5.44 nhtemp 99
   　2.5.45 Nile 100
   　2.5.46 nottem 101
   　2.5.47 occupationalStatus 102
   　2.5.48 Orange 103
   　2.5.49 OrchardSprays 104
   　2.5.50 PlantGrowth 106
   　2.5.51 precip 107
   　2.5.52 presidents 108
   　2.5.53 pressure 110
   　2.5.54 Puromycin 111
   　2.5.55 quakes 11 2
   　2.5.56 randu 113
   　2.5.57 rivers 114
   　2.5.58 rock 11 5
   　2.5.59 sleep 116
   　2.5.60 stackloss 118
   　2.5.61 state 120
   　2.5.62 sunspot.month 122
   　2.5.63 sunspot.year 122
   　2.5.64 sunspots 1 23
   　2.5.65 swiss 124
   　2.5.66 Theoph 126
   　2.5.67 Titanic 127
   　2.5.68 ToothGrowth 128
   　2.5.69 treering 130
   　2.5.70 trees 131
   　2.5.71 UCBAdmissions 132
   　2.5.72 UKDriverDeaths 133
   　2.5.73 UKgas 135
   　2.5.74 UKLungDeaths 136
   　2.5.75 USAccDeaths 137
   　2.5.76 USArrests 138
   　2.5.77 USJudgeRatings 139
   　2.5.78 USPersonalExpenditure 140
   　2.5.79 uspop 141
   　2.5.80 VADeaths 142
   　2.5.81 volcano 143
   　2.5.82 warpbreaks 144
   　2.5.83 women 145
   　2.5.84 WorldPhones 146
   　2.5.85 WWWusage 147
   2.6　主なパッケージ 148
   　2.6.1 base-package 148
   　2.6.2 utilis-package 148
   　2.6.3 stats-package 148
   　2.6.4 graphics-package 148
   　2.6.5 grDevices-package 149
第3章　数学 151
   3.1　算術 152
   　3.1.1 Arithmetic 152
   　3.1.2 Extremes 153
   　3.1.3 colSums 155
   　3.1.4 cumsum 156
   　3.1.5 prod 157
   　3.1.6 Round 158
   　3.1.7 range 159
   　3.1.8 sets 161
   　3.1.9 sort 162
   　3.1.10 sum 164
   3.2　数学関数 165
   　3.2.1 abs 165
   　3.2.2 sign 166
   　3.2.3 log 167
   　3.2.4 Trig 168
   　3.2.5 Hyperbolic 170
   　3.2.6 Special 172
   　3.2.7 Bessel 174
   　3.2.8 norm 176
   　3 2 9 polyroot 177
   3.3　論理演算 178
   　3.3.1 Comparison 178
   　3.3.2 Logic 180
   　3.3.3 logical 182
   　3.3.4 all 183
   　3.3.5 any 184
   　3.3.6 complete.cases 185
   　3.3.7 which 186
   3.4　配列と行列 187
   　3.4.1 backsolve 187
   　3.4.2 col 190
   　3.4.3 row 191
   　3.4.4 crossprod 192
   　3.4.5 %*% 193
   　3.4.6 %o% 195
   　3.4.7 nrow 198
   　3.4.8 ncol 199
   　3.4.9 t 200
   　3.4.10 det 201
   　3.4.11 diag 202
   　3.4.12 dim 203
   　3.4.13 dimnames 204
   　3.4.14 row.names 206
   　3.4.15 row/colnames 207
   　3.4.16 eigen 208
   　3.4.17 kronecker 210
   　3.4.18 lower.tri 211
   　3.4.19 qr 213
   　3.4.20 svd 214
   　3.4.21 chol 215
   　3.4.22 solve 216
第4章　グラフィックス 219
   4.1　プロット 220
   　4.1.1 plot 220
   　4.1.2 curve 222
   　4.1.3 barplot 223
   　4.1.4 pie 225
   　4.1.5 hist 227
   　4.1.6 boxplot 229
   　4.1.7 qqnorm 231
   　4.1.8 contour 233
   4.2　グラフィックスデバイス 235
   　4.2.1 Devices 235
   　4.2.2 dev 236
   　4.2.3 embedFonts 238
   　4.2.4 Japanese 239
   　4.2.5 pdf 240
   　4.2.6 pictex 242
   　4.2.7 png 243
   　4.2.8 postscript 244
   　4.2.9 windows 246
   　4.2.10 xfig 248
   4.3　カラー 249
   　4.3.1 RGB 249
   　4.3.2 XYZ 250
   　4.3.3 colors 251
   　4.3.4 rgb 252
第5章　プログラミング 253
   5.1　制御 254
   　5.1.1 Control 254
   　5.1.2 ifelse 257
   　5.1.3 switch 258
   　5.1.4 function 259
   　5.1.5 debug 260
   　5.1.6 call 262
   　5.1.7 eval 263
   　5.1.8 expression 264
   　5.1.9 message 265
   　5.1.10 mode 266
   　5.1.11 name 267
   　5.1.12 stop 268
   　5.1.13 try 269
   　5.1.14 warning 270
   5.2　メソッド 271
   　5.2.1 setClass 271
   　5.2.2 new 272
   　5.2.3 as 274
   　5.2.4 setMethod 275
   　5.2.5 is 277
   5.3　入出力 279
   　5.3.1 scan 279
   　5.3.2 print 281
   　5.3.3 readline 282
   　5.3.4 readBin 283
   　5.3.5 readChar 284
   　5.3.6 read.table 286
   　5.3.7 write 288
   　5.3.8 write.table 289
   　5.3.9 sprintf 290
   5.4　ユーティリティ 292
   　5.4.1 demo 292
   　5.4.2 edit 293
   　5.4.3 example 295
第6章　統計 297
   6.1　確率分布と乱数 298
   　6.1.1 Beta 298
   　6.1.2 Binomial 300
   　6.1.3 Cauchy 302
   　6.1.4 Chisquare 303
   　6.1.5 Exponential 305
   　6.1.6 FDist 306
   　6.1.7 GammaDist 308
   　6.1.8 Geometric 309
   　6.1.9 Hypergeometric 310
   　6.1.10 Lognormal 312
   　6.1.11 NegBinomial 313
   　6.1.12 Normal 315
   　6.1.13 Poisson 317
   　6.1.14 TDist 318
   　6.1.15 Uniform 321
   　6.1.16 Weibull 322
   6.2　記述統計 324
   　6.2.1 mean 325
   　6.2.2 median 326
   　6.2.3 quantile 327
   　6.2.4 IQR 328
   　6.2.5 Correlation 328
   　6.2.6 sd 331
   　6.2.7 fivenurn 332
   　6.2.8 skewness 333
   　6.2.9 kurtosis 335
   6.3　推測統計 337
   　6.3.1 binom.test 339
   　6.3.2 prop.test 340
   　6.3.3 t.test 342
   　6.3.4 chisq.test 344
   　6.3.5 var.test 346
   　6.3.6 cor.test 347
   6.4　統計モデル 349
   　6.4.1 formula 349
   　6.4.2 lm 350
   　6.4.3 summary.lm 353
   　6.4.4 predict.lm 354
   　6.4.5 nls 356
   　6.4.6 summary.nls 357
   　6.4.7 predict.nls 358
   　6.4.8 glm 360
   6.5　時系列 362
   　6.5.1 ts 362
   　6.5.2 plot.ts 363
   　6.5.3 lag 365
   　6.5.4 diff 366
   　6.5.5 acf 367
   　6.5.6 plot.acf 369
   　6.5.7 spec.pgram 371
   　6.5.8 spectrum 374
   　6.5.9 ar 376
   　6.5.10 arima 378
   　6.5.11 garch 380
参考文献 384
逆引き索引 385
   （1）基本項目 385
   （2）データセット 387
   （3）数学 390
   （4）グラフィックス 392
   （5）プログラミング 393
   （6）統計 395
索引 398
第1章　統計ソフトR 1
   1.1　Rの歴史 2
   1.2　Rの機能 3
文献の複写および貸借の依頼を行う
 文献複写・貸借依頼