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電子ブック

ＥＢ

1. FinFETs and other multi-gate transistors (: electronic bk)

Jean-Pierre Colinge, editor

出版情報:	[New York] : Springer, [20--] 1 online resource (xiii, 339 p.)
シリーズ名:	Series on Integrated Circuits and Systems
子書誌情報:	loading…
所蔵情報:	loading…

目次情報: 続きを見る

Preface

Table of Content

Contributors

The SOI MOSFET: from Single Gate to Multigate / 1：

MOSFET scaling and Moore's law / 1.1：

Short-Channel Effects / 1.2：

Gate Geometry and Electrostatic Integrity / 1.3：

A Brief History of Multiple-Gate MOSFETs / 1.4：

Single-gate SOI MOSFETs / 1.4.1：

Double-gate SOI MOSFETs / 1.4.2：

Triple-gate SOI MOSFETs / 1.4.3：

Surrounding-gate (quadruple-gate) SOI MOSFETs / 1.4.4：

Other multigate MOSFET structures / 1.4.5：

Multigate MOSFET memory devices / 1.4.6：

Multigate MOSFET Physics / 1.5：

Classical physics / 1.5.1：

Natural length and short-channel effects / 1.5.1.1：

Current drive / 1.5.1.2：

Corner effect / 1.5.1.3：

Quantum effects / 1.5.2：

Volume inversion / 1.5.2.1：

Mobility effects / 1.5.2.2：

Threshold voltage / 1.5.2.3：

Inter-subband scattering / 1.5.2.4：

References

Multigate MOSFET Technology / 2：

Introduction / 2.1：

Active Area: Fins / 2.2：

Fin Width / 2.2.1：

Fin Height and Fin Pitch / 2.2.2：

Fin Surface Crystal Orientation / 2.2.3：

Fin Surface Preparation / 2.2.4：

Fins on Bulk Silicon / 2.2.5：

Nano-wires and Self-Assembled Wires / 2.2.6：

Gate Stack / 2.3：

Gate Patterning / 2.3.1：

Threshold Voltage and Gate Workfunction Requirements / 2.3.2：

Polysilicon Gate / 2.3.2.1：

Metal Gate / 2.3.2.2：

Tunable Workfunction Metal Gate / 2.3.2.3：

Gate EWF and Gate Induced Drain Leakage (GIDL) / 2.3.3：

Independently Controlled Gates / 2.3.4：

Source/Drain Resistance and Capacitance / 2.4：

Doping the Thin Fins / 2.4.1：

Junction Depth / 2.4.2：

Parasitic Resistance/Capacitance and Raised Source and Drain Structure / 2.4.3：

Mobility and Strain Engineering / 2.5：

Wafer Bending Experiment / 2.5.1：

Nitride Stress Liners / 2.5.3：

Embedded SiGe and SiC Source and Drain / 2.5.4：

Local Strain from Gate Electrode / 2.5.5：

Substrate Strain: Strained Silicon on Insulator / 2.5.6：

Contacts to the Fins / 2.6：

Dumbbell source and drain contact / 2.6.1：

Saddle contact / 2.6.2：

Contact to merged fins / 2.6.3：

Acknowledgments

BSIM-CMG: A Compact Model for Multi-Gate Transistors / 3：

Framework for Multigate FET Modeling / 3.1：

Multigate Models: BSIM-CMG and BSIM-IMG / 3.3：

The BSIM-CMG Model / 3.3.1：

The BSIM-IMG Model / 3.3.2：

BSIM-CMG / 3.4：

Core Model / 3.4.1：

Surface Potential Model / 3.4.1.1：

I-V Model / 3.4.1.2：

C-V Model / 3.4.1.3：

Modeling Physical Effects of Real Devices / 3.4.2：

Quantum Mechanical Effects (QME) / 3.4.2.1：

Short-channel Effects (SCE) / 3.4.2.2：

Experimental Verification / 3.4.3：

Surface Potential of independent DG-FET / 3.5：

BSIM-IMG features / 3.5.2：

Summary / 3.6：

Physics of the Multigate MOS System / 4：

Device electrostatics / 4.1：

Double gate MOS system / 4.2：

Modeling assumptions / 4.2.1：

Gate voltage effect / 4.2.2：

Semiconductor thickness effect / 4.2.3：

Asymmetry effects / 4.2.4：

Oxide thickness effect / 4.2.5：

Electron tunnel current / 4.2.6：

Two-dimensional confinement / 4.3：

Mobility in Multigate MOSFETs / 5：

Double-Gate MOSFETs and FinFETs / 5.1：

Phonon-limited mobility / 5.2.1：

Confinement of acoustic phonons / 5.2.2：

Interface roughness scattering / 5.2.3：

Coulomb scattering / 5.2.4：

Temperature Dependence of Mobility / 5.2.5：

Symmetrical and Asymmetrical Operation of DGSOI FETs / 5.2.6：

Crystallographic orientation / 5.2.7：

High-k dielectrics / 5.2.8：

Strained DGSOI devices / 5.2.9：

Silicon multiple-gate nanowires / 5.2.10：

Electrostatic description of Si nanowires / 5.3.1：

Electron transport in Si nanowires / 5.3.3：

Surface roughness / 5.3.4：

Experimental results and conclusions / 5.3.5：

Radiation Effects in Advanced Single- and Multi-Gate SOI MOSFETs / 6：

A brief history of radiation effects in SOI / 6.1：

Total Ionizing Dose Effects / 6.2：

A brief overview of Total Ionizing Dose effects / 6.2.1：

Advanced Single-Gate FDSOI devices / 6.2.2：

Description of Advanced FDSOI Devices / 6.2.2.1：

Front-gate threshold voltage shift / 6.2.2.2：

Single-transistor latch / 6.2.2.3：

Advanced Multi-Gate devices / 6.2.3：

Devices and process description / 6.2.3.1：

Single-Event Effects / 6.2.3.2：

Background / 6.3.1：

Effect of ion track diameter in nanoscale devices / 6.3.2：

Transient measurements on single-gate and FinFET SOI transistors / 6.3.3：

Scaling effects / 6.3.4：

Multi-Gate MOSFET Circuit Design / 7：

Digital Circuit Design / 7.1：

Impact of device performance on digital circuit design / 7.2.1：

Large-scale digital circuits / 7.2.2：

Leakage-performance trade off and energy dissipation / 7.2.3：

Multi-V[subscript T] devices and mixed-V[subscript T] circuits / 7.2.4：

High-temperature circuit operation / 7.2.5：

SRAM design / 7.2.6：

Analog Circuit Design / 7.3：

Device figures of merit and technology related design issues / 7.3.1：

Transconductance / 7.3.1.1：

Intrinsic transistor gain / 7.3.1.2：

Matching behavior / 7.3.1.3：

Flicker noise / 7.3.1.4：

Transit and maximum oscillation frequency / 7.3.1.5：

Self-heating / 7.3.1.6：

Charge trapping in high-k dielectrics / 7.3.1.7：

Design of analog building blocks / 7.3.2：

V-[subscript T]-based current reference circuit / 7.3.2.1：

Bandgap voltage reference / 7.3.2.2：

Operational amplifier / 7.3.2.3：

Comparator / 7.3.2.4：

Mixed-signal aspects / 7.3.3：

Current steering DAC / 7.3.3.1：

Successive approximation ADC / 7.3.3.2：

RF circuit design / 7.3.4：

SoC Design and Technology Aspects / 7.4：

Index

Preface

Table of Content

Contributors

電子ブック

ＥＢ

2. Panel data econometrics with R (: electronic bk)

Yves Croissant, Giovanni Millo

出版情報:	[S.l.] : Wiley Online Library, [20--] 1 online resource (xix, 301 p.)
子書誌情報:	loading…
所蔵情報:	loading…

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Preface

Acknowledgments

About the Companion Website

Introduction / 1：

Panel Data Econometrics: A Gentle Introduction / 1.1：

Eliminating Unobserved Components / 1.1.1：

Differencing Methods / 1.1.1.1：

LSDV Methods / 1.1.1.2：

Fixed Effects Methods / 1.1.1.3：

R for Econometric Computing / 1.2：

The Modus Operandi of R / 1.2.1：

Data Management / 1.2.2：

Outsourcing to Other Software / 1.2.2.1：

Data Management Through Formulae / 1.2.2.2：

plm for the Casual R User / 1.3：

R for the Matrix Language User / 1.3.1：

R for the User of Econometric Packages / 1.3.2：

plm for the Proficient R User / 1.4：

Reproducible Econometric Work / 1.4.1：

Object-orientation for the User / 1.4.2：

plm for the R Developer / 1.5：

Object-orientation for Development / 1.5.1：

Notations / 1.6：

General Notation / 1.6.1：

Maximum Likelihood Notations / 1.6.2：

Index / 1.6.3：

The Two-way Error Component Model / 1.6.4：

Transformation for the One-way Error Component Model / 1.6.5：

Transformation for the Two-ways Error Component Model / 1.6.6：

Groups and Nested Models / 1.6.7：

Instrumental Variables / 1.6.8：

Systems of Equations / 1.6.9：

Time Series / 1.6.10：

Limited Dependent and Count Variables / 1.6.11：

Spatial Panels / 1.6.12：

The Error Component Model / 2：

Notations and Hypotheses / 2.1：

Some Useful Transformations / 2.11：

Hypotheses Concerning the Errors / 2.1.3：

Ordinary Least Squares Estimators / 2.2：

Ordinary Least Squares on the Raw Data: The Pooling Model / 2.2.1：

The between Estimator / 2.2.2：

The within Estimator / 2.2.3：

The Generalized Least Squares Estimator / 2.3：

Presentation of the GLS Estimator / 2.3.1：

Estimation of the Variances of the Components of the Error / 2.3.2：

Comparison of the Estimators / 2.4：

Relations between the Estimators / 2.4.1：

Comparison of the Variances / 2.4.2：

Fixed vs Random Effects / 2.4.3：

Some Simple Linear Model Examples / 2.4.4：

The Two-ways Error Components Model / 2.5：

Error Components in the Two-ways Model / 2.5.1：

Fixed and Random Effects Models / 2.5.2：

Estimation of a Wage Equation / 2.6：

Advanced Error Components Models / 3：

Unbalanced Panels / 3.1：

Individual Effects Model / 3.1.1：

Two-ways Error Component Model / 3.1.2：

Fixed Effects Model / 3.1.2.1：

Random Effects Model / 3.1.2.2：

Estimation of the Components of the Error Variance / 3.1.3：

Seemingly Unrelated Regression / 3.2：

Constrained Least Squares / 3.2.1：

Inter-equations Correlation / 3.2.3：

Sur With Panel Data / 3.2.4：

The Maximum Likelihood Estimator / 3.3：

Derivation of the Likelihood Function / 3.3.1：

Computation of the Estimator / 3.3.2：

The Nested Error Components Model / 3.4：

Presentation of the Model / 3.4.1：

Estimation of the Variance of the Error Components / 3.4.2：

Tests on Error Component Models / 4：

Tests on Individual and/or Time Effects / 4.1：

F Tests / 4.1.1：

Breusch-Pagan Tests / 4.1.2：

Tests for Correlated Effects / 4.2：

The Mundlak Approach / 4.2.1：

Hausman Test / 4.2.2：

Chamberlain's Approach / 4.2.3：

Unconstrained Estimator / 4.2.3.1：

Constrained Estimator / 4.2.3.2：

Fixed Effects Models / 4.2.3.3：

Tests for Serial Correlation / 4.3：

Unobserved Effects Test / 4.3.1：

Score Test of Serial Correlation and/or Individual Effects / 4.3.2：

Likelihood Ratio Tests for AR(1) and Individual Effects / 4.3.3：

Applying Traditional Serial Correlation Tests to Panel Data / 4.3.4：

Wald Tests for Serial Correlation using within and First-differenced Estimators / 4.3.5：

Wooldridge's within-based Test / 4.3.5.1：

Wooldridge's First-difference-based Test / 4.3.5.2：

Tests for Cross-sectional Dependence / 4.4：

Pairwise Correlation Coefficients / 4.4.1：

CD-type Tests for Cross-sectional Dependence / 4.4.2：

Testing Cross-sectional Dependence in a pseries / 4.4.3：

Robust Inference and Estimation for Non-spherical Errors / 5：

Robust Inference / 5.1：

Robust Covariance Estimators / 5.1.1：

Cluster-robust Estimation in a Panel Setting / 5.1.1.1：

Double Clustering / 5.1.1.2：

Panel Newey-west and SCC / 5.1.1.3：

Generic Sandwich Estimators and Panel Models / 5.1.2：

Panel Corrected Standard Errors / 5.1.2.1：

Robust Testing of Linear Hypotheses / 5.1.3：

An Application: Robust Hausman Testing / 5.1.3.1：

Unrestricted Generalized Least Squares / 5.2：

General Feasible Generalized Least Squares / 5.2.1：

Pooled GGLS / 5.2.11：

Fixed Effects GLS / 5.2.12：

First Difference GLS / 5.2.13：

Applied Examples / 5.2.2：

Endogeneity / 6：

The Instrumental Variables Estimator / 6.1：

Generalities about the Instrumental Variables Estimator / 6.2.1：

The within Instrumental Variables Estimator / 6.2.2：

Error Components Instrumental Variables Estimator / 6.3：

The General Model / 6.3.1：

Special Cases of the General Model / 6.3.2：

The within Model / 6.3.2.1：

Error Components Two Stage Least Squares / 6.3.2.2：

The Hausman and Taylor Model / 6.3.2.3：

The Amemiya-Macurdy Estimator / 6.3.2.4：

The Breusch, Mizon and Schmidt's Estimator / 6.3.2.5：

Balestra and Varadharajan-Krishnakumar Estimator / 6.3.2.6：

Estimation of a System of Equations / 6.4：

The Three Stage Least Squares Estimator / 6.4.1：

The Error Components Three Stage Least Squares Estimator / 6.4.2：

More Empirical Examples / 6.5：

Estimation of a Dynamic Model / 7：

Dynamic Model and Endogeneity / 7.1：

The Bias of the OLS Estimator / 7.1.1：

Consistent Estimation Methods for Dynamic Models / 7.1.2：

GMM Estimation of the Differenced Model / 7.2：

Instrumental Variables and Generalized Method of Moments / 7.2.1：

One-step Estimator / 7.2.2：

Two-steps Estimator / 7.2.3：

The Proliferation of Instruments in the Generalized Method of Moments Difference Estimator / 7.2.4：

Generalized Method of Moments Estimator in Differences and Levels / 7.3：

Weak Instruments / 7.3.1：

Moment Conditions on the Levels Model / 7.3.2：

The System GMM Estimator / 7.3.3：

Inference / 7.4：

Robust Estimation of the Coefficients' Covariance / 7.4.1：

Overidentification Tests / 7.4.2：

Error Serial Correlation Test / 7.4.3：

Panel Time Series / 7.5：

Heterogeneous Coefficients / 8.1：

Fixed Coefficients / 8.2.1：

Random Coefficients / 8.2.2：

The Swamy Estimator / 8.2.2.1：

The Mean Groups Estimator / 8.2.2.2：

Testing for Poolability / 8.2.3：

Cross-sectional Dependence and Common Factors / 8.3：

The Common Factor Model / 8.3.1：

Common Correlated Effects Augmentation / 8.3.2：

CCE Mean Groups vs. CCE Pooled / 8.3.2.1：

Computing the CCEP Variance / 8.3.2.2：

Nonstationarity and Cointegration / 8.4：

Unit Root Testing: Generalities / 8.4.1：

First Generation Unit Root Testing / 8.4.2：

Preliminary Results / 8.4.2.1：

Levin-Lin-Chu Test / 8.4.2.2：

Im, Pesaran and Shin Test / 8.4.2.3：

The Maddala and Wu Test / 8.4.2.4：

Second Generation Unit Root Testing / 8.4.3：

Count Data and Limited Dependent Variables / 9：

Binomial and Ordinal Models / 9.1：

The Binomial Model / 9.1.1：

Ordered Models / 9.1.1.2：

The Random Effects Model / 9.1.2：

The Conditional Logit Model / 9.1.2.1：

Censored or Truncated Dependent Variable / 9.2：

The Ordinary Least Squares Estimator / 9.2.1：

The Symmetrical Trimmed Estimator / 9.2.3：

Truncated Sample / 9.2.3.1：

Censored Sample / 9.2.3.2：

Count Data / 9.2.4：

The Poisson Model / 9.3.1：

The NegBin Model / 9.3.1.2：

Negbin Model / 9.3.2：

Random Effects Models / 9.3.3：

Spatial Correlation / 9.3.3.1：

Visual Assessment / 10.1.1：

Testing for Spatial Dependence / 10.1.2：

CD P Tests for Local Cross-sectional Dependence / 10.1.2.1：

The Randomized W Test / 10.1.2.2：

Spatial Lags / 10.2：

Spatially Lagged Regressors / 10.2.1：

Spatially Lagged Dependent Variables / 10.2.2：

Spatial OLS / 10.2.2.1：

ML Estimation of the SAR Model / 10.2.2.2：

Spatially Correlated Errors / 10.2.3：

Individual Heterogeneity in Spatial Panels / 10.3：

Random versus Fixed Effects / 10.3.1：

Spatial Panel Models with Error Components / 10.3.2：

Spatial Panels with Independent Random Effects / 10.3.2.1：

Spatially Correlated Random Effects / 10.3.2.2：

Estimation / 10.3.3：

Spatial Models with a General Error Covariance / 10.3.3.1：

General Maximum Likelihood Framework / 10.3.3.2：

Generalized Moments Estimation / 10.3.3.3：

Testing / 10.3.4：

LM Tests for Random Effects and Spatial Errors / 10.3.4.1：

Testing for Spatial Lag vs Error / 10.3.4.2：

Serial and Spatial Correlation / 10.4：

Maximum Likelihood Estimation / 10.4.1：

Serial and Spatial Correlation in the Random Effects Model / 10.4.1.1：

Serial and Spatial Correlation with KKP-Type Effects / 10.4.1.2：

Tests for Random Effects, Spatial, and Serial Error Correlation / 10.4.2：

Spatial Lag vs Error in the Serially Correlated Model / 10.4.2.2：

Bibliography

Preface

Acknowledgments

About the Companion Website

電子ブック

ＥＢ

3. Mathematical finance : theory, modeling, implementation (: electronic bk)

Christian Fries

出版情報:	[S.l.] : Wiley Online Library, [20--] 1 online resource (xxii, 520 p.)
子書誌情報:	loading…
所蔵情報:	loading…

目次情報: 続きを見る

Introduction / 1：

Theory, Modeling and Implementation / 1.1：

Interest Rate Models and Interest Rate Derivatives / 1.2：

How to Read this Book / 1.3：

Abridged Versions / 1.3.1：

Special Sections / 1.3.2：

Notation / 1.3.3：

Foundations / I：

Probability Theory / 2：

Stochastic Processes / 2.2：

Filtration / 2.3：

Brownian Motion / 2.4：

Wiener Measure, Canonical Setup / 2.5：

ItÃ´ Calculus / 2.6：

ItÃ´ Integral / 2.6.1：

ItÃ´ Process / 2.6.2：

ItÃ´ Lemma and Product Rule / 2.6.3：

Brownian Motion with Instantaneous Correlation / 2.7：

Martingales / 2.8：

Change of Measure (Girsanov, Cameron, Martin / 2.8.1 Martingale Representation Theorem：

Stochastic Integration / 2.10：

Partial Differential Equations (PDE / 2.11：

Feynman-Kac Theorem / 2.11.1：

List of Symbols / 2.12：

Replication / 3：

Replication Strategies / 3.1：

Replication in a discrete Model / 3.1.1：

Foundations: Equivalent Martingale Measure / 3.2：

Challenge and Solution Outline / 3.2.1：

Steps towards the Universal Pricing Theorem / 3.2.2：

Excursus: Relative Prices and Risk Neutral Measures / 3.3：

Why relative prices? / 3.3.1：

Risk Neutral Measure / 3.3.2：

First Applications / II：

Pricing of a European Stock Option under the Black-Scholes Model / 4：

Excursus: The Density of the Underlying of a European Call Option / 5：

Excursus: Interpolation of European Option Prices / 6：

No-Arbitrage Conditions for Interpolated Prices / 6.1：

Arbitrage Violations through Interpolation / 6.2：

Example (1): Interpolation of four Prices / 6.2.1：

Example (2): Interpolation of two Prices / 6.2.2：

Arbitrage-Free Interpolation of European Option Prices / 6.3：

Hedging in Continuous and Discrete Time and the Greeks / 7：

Deriving the Replications Strategy from Pricing Theory / 7.1：

Deriving the Replication Strategy under the Assumption of a Locally Riskless Product / 7.2.1：

The Black-Scholes Differential Equation / 7.2.2：

Example: Replication Portfolio and PDE under a Black-Scholes Model / 7.2.3：

Greeks / 7.3：

Greeks of a European Call-Option under the Black-Scholes model / 7.3.1：

Hedging in Discrete Time: Delta and Delta-Gamma Hedging / 7.4：

Delta Hedging / 7.4.1：

Error Propagation / 7.4.2：

Delta-Gamma Hedging / 7.4.3：

Vega Hedging / 7.4.4：

Hedging in Discrete Time: Minimizing the Residual Error (Bouchaud-Sornette Method / 7.5：

Minimizing the Residual Error at Maturity T / 7.5.1：

Minimizing the Residual Error in each Time Step / 7.5.2：

Interest Rate Structures, Interest Rate Products And Analytic Pricing Formulas / III：

Interest Rate Structures / Motivation and Overview：

Fixing Times and Tenor Times / 8.1：

Definitions / 8.2：

Interest Rate Curve Bootstrapping / 8.3：

Interpolation of Interest Rate Curves / 8.4：

Implementation / 8.5：

Simple Interest Rate Products / 9：

Interest Rate Products Part 1: Products without Optionality / 9.1：

Fix, Floating and Swap / 9.1.1：

Money-Market Account / 9.1.2：

Interest Rate Products Part 2: Simple Options / 9.2：

Cap, Floor, Swaption / 9.2.1：

Foreign Caplet, Quanto / 9.2.2：

The Black Model for a Caplet / 10：

Pricing of a Quanto Caplet / Modeling the FFX11：

Choice of NumÃ©raire / 11.1：

Exotic Derivatives / 12：

Prototypical Product Properties / 12.1：

Interest Rate Products Part 3: Exotic Interest Rate Derivatives / 12.2：

Structured Bond, Structured Swap, Zero Structure / 12.2.1：

Bermudan Option / 12.2.2：

Bermudan Callable and Bermudan Cancelable / 12.2.3：

Compound Options / 12.2.4：

Trigger Products / 12.2.5：

Structured Coupons / 12.2.6：

Shout Options / 12.2.7：

Product Toolbox / 12.3：

Discretization And Numerical Valuation Methods / IV：

Discretization of time and state space / 13：

Discretization of Time: The Euler and the Milstein Scheme / 13.1：

Time-Discretization of a Lognormal Process / 13.1.1：

Discretization of Paths (Monte-Carlo Simulation) / 13.2：

Monte-Carlo Simulation / 13.2.1：

Weighted Monte-Carlo Simulation / 13.2.2：

Review / 13.2.3：

Discretization of State Space / 13.3：

Backward-Algorithm / 13.3.1：

Path Simulation through a Lattice: Two Layers / 13.3.3：

Numerical Methods for Partial Differential Equations / 14：

Pricing Bermudan Options in a Monte Carlo Simulation / 15：

Bermudan Options: Notation / 15.1：

Bermudan Callable / 15.2.1：

Relative Prices / 15.2.2：

Bermudan Option as Optimal Exercise Problem / 15.3：

Bermudan Option Value as single (unconditioned) Expectation: The Optimal Exercise Value / 15.3.1：

Bermudan Option Pricing - The Backward Algorithm / 15.4：

Re-simulation / 15.5：

Perfect Foresight / 15.6：

Conditional Expectation as Functional Dependence / 15.7：

Binning / 15.8：

Binning as a Least-Square Regression / 15.8.1：

Foresight Bias / 15.9：

Regression Methods - Least Square Monte-Carlo / 15.10：

Least Square Approximation of the Conditional Expectation / 15.10.1：

Example: Evaluation of a Bermudan Option on a Stock / Backward Algorithm with Conditional Expectation Estimator15.10.2：

Example: Evaluation of a Bermudan Callable / 15.10.3：

Binning as linear Least-Square Regression / 15.10.4：

Optimization Methods / 15.11：

Andersen Algorithm for Bermudan Swaptions / 15.11.1：

Review of the Threshold Optimization Method / 15.11.2：

Optimization of Exercise Strategy: A more general Formulation / 15.11.3：

Comparison of Optimization Method and Regression Method / 15.11.4：

Duality Method: Upper Bound for Bermudan Option Prices / 15.12：

American Option Evaluation as Optimal Stopping Problem / 15.12.1：

Primal-Dual Method: Upper and Lower Bound / 15.13：

Pricing Path-Dependent Options in a Backward Algorithm / 16：

Evaluation of a Snowball / Memory in a Backward Algorithm / 16.1：

Evaluation of a Flexi Cap in a Backward Algorithm / 16.2：

Sensitivities / Partial Derivatives) of Monte Carlo Prices17：

Problem Description / 17.1：

Pricing using Monte-Carlo Simulation / 17.2.1：

Sensitivities from Monte-Carlo Pricing / 17.2.2：

Example: The Linear and the Discontinuous Payout / 17.2.3：

Example: Trigger Products / 17.2.4：

Generic Sensitivities: Bumping the Model / 17.3：

Sensitivities by Finite Differences / 17.4：

Example: Finite Differences applied to Smooth and Discontinuous Payout / 17.4.1：

Sensitivities by Pathwise Differentiation / 17.5：

Example: Delta of a European Option under a Black-Scholes Model / 17.5.1：

Pathwise Differentiation for Discontinuous Payouts / 17.5.2：

Sensitivities by Likelihood Ratio Weighting / 17.6：

Example: Delta of a European Option under a Black-Scholes Model using Pathwise Derivative / 17.6.1：

Example: Variance Increase of the Sensitivity when using Likelihood Ratio Method for Smooth Payouts / 17.6.2：

Sensitivities by Malliavin Weighting / 17.7：

Proxy Simulation Scheme / 17.8：

Proxy Simulation Schemes for Monte Carlo Sensitivities and Importance Sampling / 18：

Full Proxy Simulation Scheme / 18.1：

Calculation of Monte-Carlo weights / 18.1.1：

Sensitivities by Finite Differences on a Proxy Simulation Scheme / 18.2：

Localization / 18.2.1：

Object-Oriented Design / 18.2.2：

Importance Sampling / 18.3：

Example / 18.3.1：

Partial Proxy Simulation Schemes / 18.4：

Linear Proxy Constraint / 18.4.1：

Comparison to Full Proxy Scheme Method / 18.4.2：

Non-Linear Proxy Constraint / 18.4.3：

Transition Probability from a Nonlinear Proxy Constraint / 18.4.4：

Sensitivity with respect to the Diffusion Coefficients - Vega / 18.4.5：

Example: LIBOR Target Redemption Note / 18.4.6：

Example: CMS Target Redemption Note / 18.4.7：

Pricing Models For Interest Rate Derivatives / V：

LIBOR Market Models / 19：

LIBOR Market Model / 19.1：

Derivation of the Drift Term / 19.1.1：

Discretization and (Monte-Carlo) Simulation / 19.1.2：

Calibration - Choice of the free Parameters / 19.1.4：

Interpolation of Forward Rates in the LIBOR Market Model / 19.1.5：

Object Oriented Design / 19.2：

Reuse of Implementation / 19.2.1：

Separation of Product and Model / 19.2.2：

Abstraction of Model Parameters / 19.2.3：

Abstraction of Calibration / 19.2.4：

Swap Rate Market Models (Jamshidian 1997 / 19.3：

The Swap Measure / 19.3.1：

Swap Rate Market Models / 19.3.2：

Terminal Correlation examined in a LIBOR Market Model Example / 20.1：

De-correlation in a One-Factor Model / 20.2.1：

Impact of the Time Structure of the Instantaneous Volatility on Caplet and Swaption Prices / 20.2.2：

The Swaption Value as a Function of Forward Rates / 20.2.3：

Terminal Correlation is dependent on the Equivalent Martingale Measure / 20.3：

Dependence of the Terminal Density on the Martingale Measure / 20.3.1：

Excursus: Instantaneous Correlation and Terminal Correlation / 21：

Short Rate Process in the HJM Framework / 21.1：

The HJM Drift Condition / 21.2：

Heath-Jarrow-Morton Framework: Foundations / 22：

The Market Price of Risk / 22.1：

Overview: Some Common Models / 22.3：

Implementations / 22.4：

Monte-Carlo Implementation of Short-Rate Models / 22.4.1：

Lattice Implementation of Short-Rate Models / 22.4.2：

Short-Rate Models / 23：

Short Rate Models in the HJM Framework / 23.1：

Example: The Ho-Lee Model in the HJM Framework / 23.1.1：

Example: The Hull-White Model in the HJM Framework / 23.1.2：

LIBOR Market Model in the HJM Framework / 23.2：

HJM Volatility Structure of the LIBOR Market Model / 23.2.1：

LIBOR Market Model Drift under the QB Measure / 23.2.2：

LIBOR Market Model as a Short Rate Model / 23.2.3：

Heath-Jarrow-Morton Framwork: Immersion of Short-Rate Models and LIBOR Market Model / 24：

Model / 24.1：

Interpretation of the Figures / 24.2：

Mean Reversion / 24.3：

Factors / 24.4：

Exponential Volatility Function / 24.5：

Instantaneous Correlation / 24.6：

Excursus: Shape of teh Interst Rate Curve under Mean Reversion and a Multifactor Model / 25：

Cheyette Model / 25.1：

Ritchken-Sakarasubramanian Framework: JHM with Low Markov Dimension / 26：

The Markov Functional Assumption / independent of the model considered)26.1：

Outline of this Chapter / 26.1.2：

Equity Markov Functional Model / 26.2：

Markov Functional Assumption / 26.2.1：

Example: The Black-Scholes Model / 26.2.2：

Numerical Calibration to a Full Two-Dimensional European Option Smile Surface / 26.2.3：

Interest Rates / 26.2.4：

Model Dynamics / 26.2.5：

LIBOR Markov Functional Model / 26.2.6：

LIBOR Markov Functional Model in Terminal Measure / 26.3.1：

LIBOR Markov Functional Model in Spot Measure / 26.3.2：

Remark on Implementation / 26.3.3：

Change of numÃ©raire in a Markov-Functional Model / 26.3.4：

Implementation: Lattice / 26.4：

Convolution with the Normal Probability Density / 26.4.1：

State space discretization Markov Functional Models / 26.4.2：

Extended Models. / Part VI：

Introduction - Different Types of Spreads / 27.1：

Spread on a Coupon / 27.1.1：

Credit Spread / 27.1.2：

Defaultable Bonds / 27.2：

Integrating deterministic Credit Spread into a Pricing Model / 27.3：

Deterministic Credit Spread / 27.3.1：

Receiver's and Payer's Credit Spreads / 27.3.2：

Example: Defaultable Forward Starting Coupon Bond / 27.4.1：

Example: Option on a Defaultable Coupon Bond / 27.4.2：

Credit Spreads / 28：

Cross Currency LIBOR Market Model / 28.1：

Derivation of the Drift Term under Spot-Measure / 28.1.1：

Equity Hybrid LIBOR Market Model / 28.1.2：

Equity-Hybrid Cross-Currency LIBOR Market Model / 28.2.1：

Summary / 28.3.1：

Hybrid Models / 28.3.2：

Elements of Object Oriented Programming: Class and Objects / 29.1：

Example: Class of a Binomial Distributed Random Variable / 29.1.1：

Constructor / 29.1.2：

Methods: Getter, Setter, Static Methods / 29.1.3：

Principles of Object Oriented Programming / 29.2：

Encapsulation and Interfaces / 29.2.1：

Abstraction and Inheritance / 29.2.2：

Polymorphism / 29.2.3：

Example: A Class Structure for One Dimensional Root Finders / 29.3：

Root Finder for General Functions / 29.3.1：

Root Finder for Functions with Analytic Derivative: Newton Method / 29.3.2：

Root Finder for Functions with Derivative Estimation: Secant Method / 29.3.3：

Anatomy of a JavaÃ– Class / 29.4：

Libraries / 29.5：

JavaÃ–2 Platform, Standard Edition (j2se / 29.5.1：

JavaÃ–2 Platform, Enterprise Edition (j2ee / 29.5.2：

Colt / 29.5.3：

Commons-Math: The Jakarta Mathematics Library / 29.5.4：

Some Final Remarks / 29.6：

Object Oriented Design (OOD) / Unified Modeling Language / 29.6.1：

Appendices / Part VII：

A small Collection of Common Misconceptions / A：

Tools (Selection / B：

Linear Regression / B.1：

Generation of Random Numbers / B.2：

Uniform Distributed Random Variables / B.2.1：

Transformation of the Random Number Distribution via the Inverse Distribution Function / B.2.2：

Normal Distributed Random Variables / B.2.3：

Poisson Distributed Random Variables / B.2.4：

Generation of Paths of an n-dimensional Brownian Motion / B.2.5：

Factor Decomposition - Generation of Correlated Brownian Motion / B.3：

Factor Reduction / B.4：

Optimization (one-dimensional): Golden Section Search / B.5：

Convolution with Normal Density / B.6：

Exercises / C：

JavaÃ– Source Code (Selection / D：

JavaÃ– Classes for Chapter 29 / E.1：

Introduction / 1：

Theory, Modeling and Implementation / 1.1：

Interest Rate Models and Interest Rate Derivatives / 1.2：

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ＥＢ

4. Solved problems in classical electromagnetism (: electronic bk)

Jerrold Franklin

出版情報:	[S.l.] : EBSCOhost, [20--] 1 online resource
シリーズ名:	Dover books on physics
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Preface

Electrostatics / 1：

Static fields and forces / 1.1：

Applications of Coulomb's law / 1.1.1：

Gauss's law / 1.1.2：

Vector differential operators / 1.1.3：

Dirac delta function / 1.1.4：

Electric dipole / 1.1.5：

Electric quadrupole / 1.1.6：

Image charges / 1.1.7：

Solutions of Laplace's equation / 1.2：

Cartesian coordinates / 1.2.1：

Spherical coordinates / 1.2.2：

Multipole expansion / 1.2.3：

Spherical harmonics / 1.2.4：

Cylindrical coordinates / 1.2.5：

Dielectrics / 1.3：

P,D,Â¿_e,Â¿ / 1.3.1：

Images / 1.3.2：

Magnetostatics / 2：

Units of magnetostatics / 2.1：

Law of Biot-Savart / 2.2：

Current density / 2.3：

Ampere's law / 2.4：

Magnetic vector potential / 2.5：

Magnetic scalar potential / 2.6：

Magnetic moment / 2.7：

Magnetodynamics / 2.8：

Magnetization / 2.9：

Review of M, H, Â¿, Â¿ / 2.9.1：

Ferromagnetism / 2.10：

Electromagnetism / 3：

Maxwell's equations / 3.1：

EM energy and momentum / 3.1.1：

Maxwell stress tensor / 3.1.2：

Electromagnetic plane waves / 3.2：

EM wave equation / 3.2.1：

Wave energy and momentum / 3.2.2：

Fresnel relations / 3.2.3：

Wavt: propagation / 3.2.4：

EM radiation / 4：

Vector (A) and scalar (Â¿) potentials / 4.1：

Wave equation for A and Â¿ / 4.1.1：

Gauge transformation / 4.1.2：

Radiation fields

Radiation zone / 4.2.1：

Electric dipole radiation / 4.3：

Atomic radiation / 4.3.1：

Larmor radiation / 4.4：

Relativistic electromagnetism / 5：

Lorentz transformation / 5.1：

Invariance of the speed of light / 5.2：

Doppler shift / 5.3：

Natural units / 5.4：

Covariant electromagnetism / 5.5：

Relativistic electrodynamics / 5.6：

Lorentz force / 5.6.1：

Covariant Lagrangian and Hamiltonian / 5.6.2：

Relativistic Larmor radiation / 5.6.3：

Preface

Electrostatics / 1：

Static fields and forces / 1.1：

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ＥＢ

5. Nickel catalysis in organic synthesis : methods and reactions (: electronic bk)

edited by Sensuke Ogoshi

出版情報:	[S.l.] : Wiley Online Library, [20--] 1 online resource (xii, 335 p.)
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Preface

Reactions via Nickelacycles / Part I：

Formation of Nickelacycles and Reaction with Carbon Monoxide / Sensuke Ogoshi1：

Introduction / 1.1：

Formation of Hetero-nickelacycles from Nickel(O) / 1.2：

Stoichiometric Reaction of Hetero-nickelacycles with Carbon Monoxide / 1.3：

References

Transformation of Aldehydes via Nickelacycles / Yoichi Hashimoto2：

Introduction and Scope of This Chapter / 2.1：

Catalytic Transformation of Aldehydes Through Three-Membered Oxanickelacycle Complexes / 2.2：

Catalytic Transformation of Aldehydes Through Five-Membered Oxanickelacycle Complexes / 2.3：

Catalytic Transformation of Aldehydes Through Seven-Membered Oxanickelacycle Complexes / 2.4：

Conclusion and Outlook / 2.5：

Transformation of Imines via Nickelacycles / Masato Ohashi3：

[2 + 2 + 1] Carbonylative Cycloaddition of an Imine and Either an Alkyne or an Alkene Leading to Â¿-Lactams / 3.1：

[2 + 2 + 2] Cycloaddition Reaction of an Imine with Two Alkynes: Formation of 1,2-Dihydropyridine Derivatives / 3.3：

Three-Component Coupling and Cyclocondensation Reactions of an Imine, an Alkyne, and Alkylmetal Reagents / 3.4：

Asymmetric C-C Bond Formation Reactions via Nickelacycles / Ravindra Kumar and Sensuke Ogoshi4：

Enantioselective Reactions Involving Nickelacycles / 4.1：

Nickel-Catalyzed Asymmetric Coupling of Alkynes and Aldehydes / 4.2.1：

Nickel-Catalyzed Asymmetric Reductive Coupling of Alkynes and Aldehydes / 4.2.1.1：

Nickel-Catalyzed Asymmetric Alkylative Coupling of Alkynes and Aldehydes / 4.2.1.2：

Nickel-Catalyzed Asymmetric Coupling of Alkynes and Imines / 4.2.2：

Nickel-Catalyzed Asymmetric Coupling of 1,3-Enynes and Aldehydes / 4.2.3：

Nickel-Catalyzed Asymmetric Coupling of 1,3-Enynes and Ketones / 4.2.4：

Nickel-Catalyzed Asymmetric Coupling of 1,3-Dienes and Aldehydes / 4.2.5：

Nickel-Catalyzed Asymmetric Coupling of Enones and Alkynes / 4.2.6：

Nickel-Catalyzed Asymmetric Alkylative Coupling of Enones and Alkynes / 4.2.6.1：

Nickel-Catalyzed Asymmetric Coupling of Arylenoates and Alkynes / 4.2.6.2：

Nickel-Catalyzed Asymmetric Coupling of Diynes with Ketenes / 4.2.8：

Nickel-Catalyzed Asymmetric Coupling of Allenes, Aldehydes, and Silanes / 4.2.9：

Nickel-Catalyzed Asymmetric Coupling of Allenes and Isocyanates / 4.2.10：

Nickel-Catalyzed Asymmetric Coupling of Alkenes, Aldehydes, and Silanes / 4.2.11：

Nickel-Catalyzed Asymmetric Coupling of Formamide and Alkene / 4.2.12：

Nickel-Catalyzed Asymmetric Coupling of Alkynes and Cyclopropyl Carboxamide / 4.2.13：

Miscellaneous / 4.3：

Nickel-Catalyzed Asymmetric Annulation of Pyridones via Hydroarylation to Alkenes / 4.3.1：

Nickel-Catalyzed Asymmetric Synthesis of Benzoxasilole / 4.3.2：

Overview and Future Perspective / 4.4：

Functionalization of Unreactive Bonds / Part II：

Recent Advances in Ni-Catalyzed Chelation-Assisted Direct Functionalization of Inert C-H Bonds / Yon-Hua Liu and Fang Hu and Bing-Feng Shi5：

Ni-Catalyzed Functionalization of Inert C-H Bonds Assisted by Bidentate Directing Groups / 5.1：

Arylation / 5.2.1：

Alkylation / 5.2.2：

Alkenylation / 5.2.3：

Alkynylation / 5.2.4：

Other C-C Bond Formation Reactions Directed by Bidentate Directing Group / 5.2.5：

C-N Bond Formation / 5.2.6：

C-Chalcogen (Chalcogen = O, S, Se) Bond Formation / 5.2.7：

C-Halogen Bond Formation / 5.2.8：

Ni-Catalyzed Functionalization of Inert C-H Bonds Assisted by Monodentate Directing Groups / 5.3：

C-Calcogen Bond Formation / 5.3.1：

Summary / 5.4：

C-C Bond Functionalization / Yoshiaki Nakao6：

C-C Bond Functionalization of Three-Membered Rings / 6.1：

C-C Bond Functionalization of Four- and Five-Membered Rings / 6.3：

C-C Bond Functionalization of Less Strained Molecules / 6.4：

C-CN Bond Functionalization / 6.5：

Summary and Outlook / 6.6：

C-O Bond Transformations / Mamoru Tobisu7：

C(aryl)-O Bond Cleavage / 7.1：

Aryl Esters, Carbamates, and Carbonates / 7.2.1：

Aryl Ethers / 7.2.2：

Arenols / 7.2.3：

C(benzyl)-O Bond Cleavage / 7.3：

Benzyl Esters and Carbamates / 7.3.1：

Benzyl Ethers / 7.3.2：

C(acyl)-O Bond Cleavage / 7.4：

Coupling Reactions via Ni(I) and/or Ni(III) / 7.5：

Photo-Assisted Nickel-Catalyzed Cross-Coupling Processes / Christophe Lévéque and Cyril Ollivier and Louis Fensterbank8：

Development of Visible-Light Photoredox/Nickel Dual Catalysis / 8.1：

For the Formation of Carbon-Carbon Bonds / 8.2.1：

Starting from Organotrifluoroborates / 8.2.1.1：

Starting from Carboxylates or Keto Acids or from Methylanilines / 8.2.1.2：

Starting from Alkylsilicates / 8.2.1.3：

Starting from 1,4-Dihydropyridines / 8.2.1.4：

Starting from Alkylsulfinates / 8.2.1.5：

Starting from Alkyl Bromides / 8.2.1.6：

Starting from Xanthates / 8.2.1.7：

Starting from Sp³ CH Bonds / 8.2.1.8：

For the Formation of Carbon-Heteroatom Bonds / 8.2.2：

Formation of C-O Bond / 8.2.2.1：

Formation of C-P Bond / 8.2.2.2：

Formation of C-S Bond / 8.2.2.3：

Energy-Transfer-Mediated Nickel Catalysis / 8.3：

Conclusion / 8.4：

Cross-Electrophile Coupling: Principles and New Reactions / Matthew M. Goldfogel and Liangbin Huang and Daniel J. Weix9：

Mechanistic Discussion of Cross-Electrophile Coupling / 9.1：

C(sp²)-C(sp³) Bond Formation / 9.3：

Cross-Electrophile Coupling of Aryl-X and Alkyl-X / 9.3.1：

Cross-Electrophile Coupling of ArX and Bn-X / 9.3.2：

Cross-Electrophile Coupling of ArX and Allyl-X / 9.3.3：

Vinyl-X with R-X / 9.3.4：

Acyl-X with Alkyl-X / 9.3.5：

C(sp²)-C(sp²) Coupling / 9.4：

Aryl-X/Vinyl-X + Aryl-X/Vinyl-X / 9.4.1：

Aryl-X + Acyl-X / 9.4.2：

C(sp³)-C(sp³) Coupling / 9.5：

C(sp)-C(sp³) Coupling / 9.6：

Multicomponent Reactions / 9.7：

Future of the Field / 9.8：

Organometallic Chemistry of High-Valent Ni(III) and Ni(IV) Complexes / Liviu M. Mirica and Sofia M. Smith and Leonel Griego10：

Organometallic Ni(III) Complexes / 10.1：

Organometallic Ni(IV) Complexes / 10.3：

Other High-Valent Ni Complexes / 10.4：

Additional Ni^III Complexes / 10.4.1：

Additional Ni^IV Complexes / 10.4.2：

Conclusions and Outlook / 10.5：

Carbon Dioxide Fixation / Part IV：

Carbon Dioxide Fixation via Nickelacycle / Ryohei Doi and Yoshihiro Sato11：

Introduction: Carbon Dioxide as a C1 Building Block / 11.1：

Formation, Structure, and Reactivity of Nickelalactone / 11.2：

Formation and Characterization of Nickelalactone via Oxidative Cyclization with CO₂ / 11.2.1：

Reaction with Alkene / 11.2.1.1：

Reaction with Allene / 11.2.1.2：

Reaction with Diene / 11.2.1.3：

Reaction with Alkyne / 11.2.1.4：

Other Related Reactions / 11.2.1.5：

Generation of Nickelalactone Without CO₂ / 11.2.1.6：

Reactivity of Nickelalactone / 11.2.2：

Transmetalation with Organometallic Reagent / 11.2.2.1：

ÃŸ-Hydride Elimination / 11.2.2.2：

Insertion of Another Unsaturated Molecule / 11.2.2.3：

Retro-cyclization / 11.2.2.4：

Nucleophilic Attack / 11.2.2.5：

Oxidation / 11.2.2.6：

Ligand Exchange / 11.2.2.7：

Catalytic Transformation via Nickelalactone 1: Reactions of Alkynes / 11.3：

Synthesis of Pyrone / 11.3.1：

Initial Finding / 11.3.1.1：

Reaction of Diynes with CO₂ / 11.3.1.2：

Synthesis of Â¿,ÃŸ-Unsaturated Ester / 11.3.2：

Electrochemical Reactions / 11.3.2.1：

Reduction with Organometallic Reagents / 11.3.2.2：

Catalytic Transformation via Nickelalactone 2: Reactions of Alkenes and Related Molecules / 11.4：

Transformation of Diene, Allene, and Substituted Alkene / 11.4.1：

Coupling of Diene with CO² / 11.4.1.1：

Electrochemical Process / 11.4.1.2：

Use of Reductant / 11.4.1.3：

Synthesis of Acrylic Acid from Ethylene and CO² / 11.4.2：

Before the Dawn / 11.4.2.1：

Development of Catalytic Reaction / 11.4.2.2：

Concluding Remarks / 11.5：

Relevance of Ni(I) in Catalytic Carboxylation Reactions / Rosie J. Somerville and Ruben Martin12：

Mechanistic Building Blocks / 12.1：

Additives / 12.2.1：

Coordination of CO₂ / 12.2.2：

Insertion/C-C Bond Formation / 12.2.3：

Ligand Effects / 12.2.4：

Oxidative Addition / 12.2.5：

Oxidation State / 12.2.6：

Single Electron Transfer (SET) / 12.2.7：

Electrocarboxylation / 12.2.8：

Phosphine Ligands / 12.3.1：

Bipyridine and Related Â¿-Diimine Ligands / 12.3.3：

Salen Ligands / 12.3.4：

Non-electrochemical Methods / 12.3.5：

Aryl Halides / 12.4.1：

Benzyl Electrophiles / 12.4.2：

Carboxylation of Unactivated Alkyl Electrophiles / 12.4.3：

Carboxylation of Allyl Electrophiles / 12.4.4：

Unsaturated Systems / 12.4.5：

Conclusions / 12.5：

Index

Preface

Reactions via Nickelacycles / Part I：

Formation of Nickelacycles and Reaction with Carbon Monoxide / Sensuke Ogoshi1：

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ＥＢ

6. Quantum theory of optical coherence : selected papers and lectures (: electronic bk)

Roy J. Glauber

出版情報:	[S.l.] : Wiley Online Library, [20--] 1 online resource (xv, 639 p.)
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The Quantum Theory of Optical Coherence / 1：

Introduction / 1.1：

Elements of Field Theory / 1.2：

Field Correlations / 1.3：

Coherence / 1.4：

Coherence and Polarization / 1.5：

Optical Coherence and Photon Statistics / 2：

Classical Theory / 2.1：

Interference Experiments / 2.2：

Introduction of Quantum Theory / 2.3：

The One-Atom Photon Detector / 2.4：

The n-Atom Photon Detector / 2.5：

Properties of the Correlation Functions / 2.6：

Space and Time Dependence of the Correlation Functions / 2.6.1：

Diffraction and Interference / 2.7：

Some General Remarks on Interference / 2.7.1：

First-Order Coherence / 2.7.2：

Fringe Contrast and Factorization / 2.7.3：

Interpretation of Intensity Interferometer Experiments / 2.8：

Higher Order Coherence and Photon Coincidences / 2.8.1：

Further Discussion of Higher Order Coherence / 2.8.2：

Treatment of Arbitrary Polarizations / 2.8.3：

Coherent and Incoherent States of the Radiation Field / 2.9：

Field-Theoretical Background / 2.9.1：

Coherent States of a Single Mode / 2.9.3：

Expansion of Arbitrary States in Terms of Coherent States / 2.9.4：

Expansion of Operators in Terms of Coherent State Vectors / 2.9.5：

General Properties of the Density Operator / 2.9.6：

The P Representation of the Density Operator / 2.9.7：

The Gaussian Density Operator / 2.9.8：

Density Operators for the Field / 2.9.9：

Correlation and Coherence Properties of the Field / 2.9.10：

Radiation by a Predetermined Charge-Current Distribution / 2.10：

Phase-Space Distributions for the Field / 2.11：

The P Representation and the Moment Problem / 2.11.1：

A Positive-Definite "Phase Space Density" / 2.11.2：

Wigner's "Phase Space Density" / 2.11.3：

Correlation Functions and Quasiprobability Distributions / 2.12：

First Order Correlation Functions for Stationary Fields / 2.12.1：

Correlation Functions for Chaotic Fields / 2.12.2：

Quasiprobability Distribution for the Field Amplitude / 2.12.3：

Quasiprobability Distribution for the Field Amplitudes at Two Space-Time Points / 2.12.4：

Elementary Models of Light Beams / 2.13：

Model for Ideal Laser Fields / 2.13.1：

Model of a Laser Field With Finite Bandwidth / 2.13.2：

Interference of Independent Light Beams / 2.14：

Photon Counting Experiments. References / 2.15：

Correlation Functions for Coherent Fields / 3：

Correlation Functions and Coherence Conditions / 3.1：

Correlation Functions as Scalar Products / 3.3：

Application to Higher Order Correlation Functions / 3.4：

Fields With Positive-Definite P Functions. References / 3.5：

Density Operators for Coherent Fields / 4：

Evaluation of the Density Operator / 4.1：

Fully Coherent Fields / 4.3：

Unique Properties of the Annihilation Operator Eigenstates / 4.4：

Classical Behavior of Systems of Quantum Oscillators / 5：

Quantum Theory of Parametric Amplification I / 6：

The Coherent States and the P Representation / 6.1：

Model of the Parametric Amplifier / 6.3：

Reduced Density Operator for the A Mode / 6.4：

Initially Coherent State: P Representation for the A Mode / 6.5：

Initially Coherent State; Moments, Matrix Elements, and Explicit Representation for pA(t) / 6.6：

Solutions for an Initially Chaotic B Mode / 6.7：

Solution for Initial n-Quantum State of A Mode; B Mode Chaotic / 6.8：

General Discussion of Amplification With B Mode Initially Chaotic / 6.9：

Discussion of P Representation: Characteristic Functions Initially Gaussian / 6.10：

Some Gene / 6.11：

Photon Counting Experiments

References

Fields With Positive-Definite P Functions

The Quantum Theory of Optical Coherence / 1：

Introduction / 1.1：

Elements of Field Theory / 1.2：

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ＥＢ

7. Flexible and wearable electronics for smart clothing (: electronic bk)

edited by Gang Wang, Chengyi Hou, Hongzhi Wang

出版情報:	[S.l.] : Wiley Online Library, [20--] 1 online resource (xiv, 346 p.）
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Preface

Sensing / Part I：

Wearable Organic Nano-sensors / Wei Huong and Liangwen Feng and Gang Wang and Elsa Reichmanis1：

Introduction / 1.1：

Wearable Organic Sensors Based on Different Device Architectures / 1.2：

Resistor-Based Sensors / 1.2.1：

Definitions and Important Parameters / 1.2.1.1：

Materials and Applications / 1.2.1.2：

Organic Field-Effect Transistor Based Sensors / 1.2.2：

Strategy and Applications / 1.2.2.1：

Electrochemical Sensors / 1.2.3：

Diode-Based Sensors / 1.2.3.1：

Other Devices and System Integration / 1.2.4.1：

Summary and Perspective / 1.3：

References

Stimuli-Responsive Electronic Skins / Zhouyue Lei and Peiyi Wu2：

Materials for Electronic Skins / 2.1：

Liquid Metals / 2.2.1：

Hydrogels / 2.2.2：

Ionogels / 2.2.3：

Elastomers / 2.2.4：

Conductive Polymers / 2.2.5：

Inorganic Materials / 2.2.6：

Stimuli-Responsive Behaviors / 2.3：

Electrical Signals in Response to Environmental Stimuli / 2.3.1：

Stimuli-Responsive Self-healing / 2.3.2：

Stimuli-Responsive Optical Appearances / 2.3.3：

Stimuli-Responsive Actuations / 2.3.4：

Improved Processability Based on Stimuli-Responsive Behaviors / 2.3.5：

Understanding the Mechanism of Stimuli-Responsive Materials Applied for Electronic Skins / 2.4：

Conclusion / 2.5：

Flexible Thermoelectrics and Thermoelectric Textiles / Fei Jiao3：

Thermoelectricity and Thermoelectric Materials / 3.1：

Thermoelectric Generators / 3.3：

Wearable Thermoelectric Generators for Smart Clothing / 3.4：

Flexible Thermoelectrics / 3.4.1：

Inorganic Thermoelectric Materials Related / 3.4.1.1：

Organic Thermoelectric Materials Related / 3.4.1.2：

Carbon-Based Thermoelectric Materials Related / 3.4.1.3：

Fiber and Textile Related Thermoelectrics / 3.4.2：

Prospects and Challenges / 3.5：

Energy / Part II：

Textile Triboelectric Nanogenerators for Energy Harvesting / Xiong Pu4：

Fundamentals of Triboelectric Nanogenerators (TENGs) / 4.1：

Theoretical Origin of TENGs / 4.2.1：

Four Working Modes / 4.2.2：

Materials for TENGs / 4.2.3：

Progresses in Textile TENGs / 4.3：

Materials for Textile TENGs / 4.3.1：

Fabrication Processes for Textile TENGs / 4.3.2：

Structures of Textile TENGs / 4.3.3：

ID Fiber TENGs / 4.3.3.1：

2D Fabric TENGs / 4.3.3.2：

3D Fabric TENGs / 4.3.3.3：

Washing Capability / 4.3.4：

Self-charging Power Textiles / 4.3.5：

Conclusions and Perspectives / 4.4：

Flexible and Wearable Solar Cells and Supercapacitors / Kai Yuan and Ting Hu and Yiwang Chen5：

Flexible and Wearable Solar Cells / 5.1：

Flexible and Wearable Dye-Sensitized Solar Cells / 5.2.1：

Flexible and Wearable Polymer Solar Cells / 5.2.2：

Flexible and Wearable Perovskite Solar Cells / 5.2.3：

Flexible and Wearable Supercapacitors / 5.2.4：

Flexible and Wearable Electric Double-Layer Capacitors (EDLCs) / 5.2.5：

Flexible and Wearable Pseudocapacitor / 5.2.6：

Integrated Solar Cells and Supercapacitors / 5.2.7：

Conclusions and Outlook / 5.3：

Acknowledgments

Flexible and Wearable Lithium-Ion Batteries / Zhiwei Zhang and Peng Wang and Xianguang Miao and Peng Zhang and Longwei Yin6：

Typical Lithium-Ion Batteries / 6.1：

Electrode Materials for Flexible Lithium-Ion Batteries / 6.3：

Three-Dimensional (3D) Electrodes / 6.3.1：

Two-Dimensional (2D) Electrodes / 6.3.2：

Conductive Substrate-Based Electrodes / 6.3.2.1：

Freestanding Film-Based Electrodes / 6.3.2.2：

Graphene Papers / 6.3.2.3：

CNT Papers / 6.3.2.4：

Fabrication of Carbon Films by Vacuum Filtration Process / 6.3.2.5：

Fabrication of Carbon Nanofiber Films by Electrospinning / 6.3.2.6：

Fabrication of Carbon Films by Vapor-Phase Polymerization / 6.3.2.7：

One-Dimensional (1D) Electrodes / 6.3.3：

Flexible Lithium-Ion Batteries Based on Electrolytes / 6.4：

Liquid-State Electrolytes / 6.4.1：

Aprotic Organic Solvent / 6.4.1.1：

Lithium Salts / 6.4.1.2：

Additives / 6.4.1.3：

Solid-State Electrolytes / 6.4.2：

Inorganic Electrolytes / 6.4.2.1：

Organic Electrolytes / 6.4.2.2：

Organic/Inorganic Hybrid Electrolytes / 6.4.2.3：

Inactive Materials and Components of Flexible LIBs / 6.5：

Separators / 6.5.1：

Types of Separators / 6.5.1.1：

Physical and Chemical Properties of Separators / 6.5.1.2：

Manufacture of Separators / 6.5.1.3：

Casing/Packaging / 6.5.2：

Casing/Package Components / 6.5.2.1：

Casing/Packaging Structure / 6.5.2.2：

Current Collectors / 6.5.3：

Electrode Additive Materials / 6.5.4：

Binders / 6.5.4.1：

Conductive Additives / 6.5.4.2：

Conclusions and Prospects / 6.6：

Interacting / Part III：

Thermal and Humidity Management for Next-Generation Textiles / Junxing Meng and Chengyi Hou and Chenhong Zhang and Qinghong Zhang and Yaogang Li and Hongzhi Wang7：

Passive Smart Materials / 7.1：

Energy-Harvesting Materials / 7.3：

Active Smart Materials / 7.4：

Functionalization of Fiber Materials for Washable Smart Wearable Textiles / Yunjie Yin and Yan Xu and Chaoxia Wang7.5：

Conductive Textiles / 8.1：

Waterproof Conductive Textiles / 8.1.2：

Washable Conductive Textiles / 8.1.3：

Evaluation of Washable Conductive Textiles / 8.1.4：

Fiber Materials Functionalization for Conductivity / 8.2：

Conductive Fiber Substrates Based on Polymer Materials / 8.2.1：

Dip Coating / 8.2.1.1：

Graft Modification / 8.2.1.2：

In Situ Chemical Polymerization / 8.2.1.3：

Electrochemical Polymerization / 8.2.1.4：

In Situ Vapor Phase Polymerization / 8.2.1.5：

Conductive Fiber Substrates Based on Metal Materials / 8.2.2：

Electroless Plating / 8.2.2.1：

Metal Conductive Ink Printing / 8.2.2.2：

Conductive Fiber Substrates Based on Carbon Material / 8.2.3：

Vacuum Filtration / 8.2.3.1：

Printing / 8.2.3.2：

Dyeing / 8.2.3.4：

Ultrasonic Depositing / 8.2.3.5：

Brushing Coating / 8.2.3.6：

Conductive Fiber Substrates Based on Graphene Composite Materials / 8.2.4：

In Situ Polymerization / 8.2.4.1：

Waterproof Modification for Conductive Fiber Substrates / 8.3：

Dip-Coating Method / 8.3.1：

Sol-Gel Method / 8.3.2：

Chemical Vapor Deposition / 8.3.3：

Washing Evaluations of Conductive Textiles / 8.4：

Conclusions / 8.5：

Flexible Microfluidics for Wearable Electronics / Dachao Li and Haixia Yu and Zhihua Pu and Xiaochen Lai and Chengtao Sun and Hao Wu and Xingguo Zhang9：

Materials / 9.1：

Fabrication Technologies / 9.3：

Layer Transfer and Lamination / 9.3.1：

Soft Lithography / 9.3.2：

Inkjet Printing / 9.3.3：

3D Printing / 9.3.4：

3D Printing Sacrificial Structures / 9.3.4.1：

3D Printing Templates / 9.3.4.2：

Fabrication of Open-Surface Microfluidics / 9.3.5：

Fabrication of Paper-Based Microfluidic Device / 9.3.5.1：

Fabrication of Textile-Based Microfluidic Device / 9.3.5.2：

Applications / 9.4：

Wearable Microfluidics for Sweat-Based Biosensing / 9.4.1：

Wearable Microfluidics for ISF-Based Biosensing / 9.4.2：

Wearable Microfluidics for Motion Sensing / 9.4.3：

Other Flexible Microfluidics / 9.4.4：

Soft Robotics / 9.4.4.1：

Drug Delivery / 9.4.4.2：

Implantable Devices / 9.4.4.3：

Flexible Display / 9.4.4.4：

Challenges / 9.5：

Integrating and Connecting / Part IV：

Piezoelectric Materials and Devices Based Flexible Bio-integrated Electronics / Xinge Yu10：

Piezoelectric Materials / 10.1：

Piezoelectric Devices for Biomedical Applications / 10.3：

Flexible and Printed Electronics for Smart Clothes / Yu Jiang and Nan Zhu10.4：

Printing Technology / 11.1：

Non-template Printing / 11.2.1：

Template-Based Printing / 11.2.2：

Flexible Substrates / 11.3：

Commercially Available Polymers / 11.3.1：

Polyethylene Terephthalate (PET) / 11.3.1.1：

Polydimethylsiloxane (PDMS) / 11.3.1.2：

Polyimide (PI) / 11.3.1.3：

Polyurethane (PU) / 11.3.1.4：

Others / 11.3.1.5：

Printing Papers / 11.3.2：

Tattoo Papers / 11.3.3：

Fiber Textiles / 11.3.4：

Application / 11.3.5：

Wearable Sensors/Biosensors / 11.4.1：

Noninvasive Biofuel Cells / 11.4.2：

Wearable Energy Storage Devices / 11.4.3：

Prospects / 11.5：

Flexible and Wearable Electronics: from Lab to Fab / Yuanyuan Bai and Xianqing Yang and Lianhui Li and Tie Li and Ting Zhang12：

Substrates / 12.1：

Functional Materials / 12.2.2：

Printing Technologies / 12.3：

Jet Printing / 12.3.1：

Aerosol Jet Printing / 12.3.1.1：

Electrohydrodynamic Jet (e-Jet) Printing / 12.3.1.3：

Screen Printing / 12.3.2：

Other Printing Techniques / 12.3.3：

Flexible and Wearable Electronic Products / 12.4：

Flexible Force Sensors / 12.4.1：

Paper Battery / 12.4.2：

Flexible Solar Cell / 12.4.3：

Strategy Toward Smart Clothing / 12.4.4：

Materials and Processes for Stretchable and Wearable e-Textile Devices / Binghao Wang and Antonio Facchetti12.6：

Materials for e-Textiles / 13.1：

Conducting Materials / 13.2.1：

Metal Nanomaterials / 13.2.1.1：

Carbon Nanomaterials / 13.2.1.2：

Conducting Polymers / 13.2.1.3：

Passive Textile Materials / 13.2.2：

Device Applications / 13.3：

Interconnects and Electrodes / 13.3.1：

Strain Sensors / 13.3.2：

Heaters / 13.3.3：

Supercapacitors / 13.3.4：

Energy Generators / 13.3.5：

Triboelectric Generators / 13.3.5.1：

Summary and Perspectives / 13.4：

Index

Preface

Sensing / Part I：

Wearable Organic Nano-sensors / Wei Huong and Liangwen Feng and Gang Wang and Elsa Reichmanis1：

電子ブック

ＥＢ

8. Interest rate models : an infinite dimensional stochastic analysis perspective (: electronic bk)

René A. Carmona, Michael R. Tehranchi

出版情報:	[Berlin ; Heidelberg] : Springer, [20--] 1 online resource(xiv, 235 p.)
シリーズ名:	Springer finance
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The Term Structure of Interest Rates / Part I：

Data and Instruments of the Term Structure of Interest Rates / 1：

Time Value of Money and Zero Coupon Bonds / 1.1：

Treasury Bills / 1.1.1：

Discount Factors and Interest Rates / 1.1.2：

Coupon Bearing Bonds / 1.2：

Treasury Notes and Treasury Bonds / 1.2.1：

The STRIPS Program / 1.2.2：

Clean Prices / 1.2.3：

Term Structure as Given by Curves / 1.3：

The Spot (Zero Coupon) Yield Curve / 1.3.1：

The Forward Rate Curve and Duration / 1.3.2：

Swap Rate Curves / 1.3.3：

Continuous Compounding and Market Conventions / 1.4：

Day Count Conventions / 1.4.1：

Compounding Conventions / 1.4.2：

Summary / 1.4.3：

Related Markets / 1.5：

Municipal Bonds / 1.5.1：

Index Linked Bonds / 1.5.2：

Corporate Bonds and Credit Markets / 1.5.3：

Tax Issues / 1.5.4：

Asset Backed Securities / 1.5.5：

Statistical Estimation of the Term Structure / 1.6：

Yield Curve Estimation / 1.6.1：

Parametric Estimation Procedures / 1.6.2：

Nonparametric Estimation Procedures / 1.6.3：

Principal Component Analysis / 1.7：

Principal Components of a Random Vector / 1.7.1：

Multivariate Data PCA / 1.7.2：

PCA of the Yield Curve / 1.7.3：

PCA of the Swap Rate Curve / 1.7.4：

Notes & Complements

Term Structure Factor Models / 2：

Factor Models for the Term Structure / 2.1：

Affine Models / 2.2：

Short Rate Models as One-Factor Models / 2.3：

Incompleteness and Pricing / 2.3.1：

Specific Models / 2.3.2：

A PDE for Numerical Purposes / 2.3.3：

Explicit Pricing Formulae / 2.3.4：

Rigid Term Structures for Calibration / 2.3.5：

Term Structure Dynamics / 2.4：

The Heath-Jarrow-Morton Framework / 2.4.1：

Hedging Contingent Claims / 2.4.2：

A Shortcoming of the Finite-Rank Models / 2.4.3：

The Musiela Notation / 2.4.4：

Random Field Formulation / 2.4.5：

Appendices / 2.5：

Infinite Dimensional Stochastic Analysis / Part II：

Infinite Dimensional Integration Theory / 3：

Introduction / 3.1：

The Setting / 3.1.1：

Distributions of Gaussian Processes / 3.1.2：

Gaussian Measures in Banach Spaces and Examples / 3.2：

Integrability Properties / 3.2.1：

Isonormal Processes / 3.2.2：

Reproducing Kernel Hilbert Space / 3.3：

RKHS of Gaussian Processes / 3.3.1：

The RKHS of the Classical Wiener Measure / 3.3.2：

Topological Supports, Carriers, Equivalence and Singularity / 3.4：

Topological Supports of Gaussian Measures / 3.4.1：

Equivalence and Singularity of Gaussian Measures / 3.4.2：

Series Expansions / 3.5：

Cylindrical Measures / 3.6：

The Canonical (Gaussian) Cylindrical Measure of a Hilbert Space / 3.6.1：

Integration with Respect to a Cylindrical Measure / 3.6.2：

Characteristic Functions and Bochner's Theorem / 3.6.3：

Radonification of Cylindrical Measures / 3.6.4：

Stochastic Analysis in Infinite Dimensions / 3.7：

Infinite Dimensional Wiener Processes / 4.1：

Revisiting some Known Two-Parameter Processes / 4.1.1：

Banach Space Valued Wiener Process / 4.1.2：

Sample Path Regularity / 4.1.3：

Absolute Continuity Issues / 4.1.4：

Stochastic Integral and Ito Processes / 4.1.5：

The Case of E*- and H*-Valued Integrands / 4.2.1：

The Case of Operator Valued Integrands / 4.2.2：

Stochastic Convolutions / 4.2.3：

Martingale Representation Theorems / 4.3：

Girsanov's Theorem and Changes of Measures / 4.4：

Infinite Dimensional Ornstein-Uhlenbeck Processes / 4.5：

Finite Dimensional OU Processes / 4.5.1：

Infinite Dimensional OU Processes / 4.5.2：

The SDE Approach in Infinite Dimensions / 4.5.3：

Stochastic Differential Equations / 4.6：

The Malliavin Calculus / 5：

The Malliavin Derivative / 5.1：

Various Notions of Differentiability / 5.1.1：

The Definition of the Malliavin Derivative / 5.1.2：

The Chain Rule / 5.2：

The Skorohod Integral / 5.3：

The Clark-Ocone Formula / 5.4：

Sobolev and Logarithmic Sobolev Inequalities / 5.4.1：

Malliavin Derivatives and SDEs / 5.5：

Random Operators / 5.5.1：

A Useful Formula / 5.5.2：

Applications in Numerical Finance / 5.6：

Computation of the Delta / 5.6.1：

Computation of Conditional Expectations / 5.6.2：

Generalized Models for the Term Structure / Part III：

General Models / 6：

Existence of a Bond Market / 6.1：

The HJM Evolution Equation / 6.2：

Function Spaces for Forward Curves / 6.2.1：

The Abstract HJM Model / 6.3：

Drift Condition and Absence of Arbitrage / 6.3.1：

Long Rates Never Fall / 6.3.2：

A Concrete Example / 6.3.3：

Geometry of the Term Structure Dynamics / 6.4：

The Consistency Problem / 6.4.1：

Finite Dimensional Realizations / 6.4.2：

Generalized Bond Portfolios / 6.5：

Models of the Discounted Bond Price Curve / 6.5.1：

Trading Strategies / 6.5.2：

Uniqueness of Hedging Strategies / 6.5.3：

Approximate Completeness of the Bond Market / 6.5.4：

Hedging Strategies for Lipschitz Claims / 6.5.5：

Markovian HJM Models / 7：

Gaussian Markov Models / 7.1.1：

Assumptions on the State Space / 7.1.2：

Invariant Measures for Gauss-Markov HJM Models / 7.1.3：

Non-Uniqueness of the Invariant Measure / 7.1.4：

Asymptotic Behavior / 7.1.5：

The Short Rate is a Maximum on Average / 7.1.6：

SPDEs and Term Structure Models / 7.2：

The Deformation Process / 7.2.1：

A Model of the Deformation Process / 7.2.2：

Analysis of the SPDE / 7.2.3：

Regularity of the Solutions / 7.2.4：

Market Models / 7.3：

The Forward Measure / 7.3.1：

LIBOR Rates Revisited / 7.3.2：

References

Notation Index

Author Index

Subject Index

The Term Structure of Interest Rates / Part I：

Data and Instruments of the Term Structure of Interest Rates / 1：

Time Value of Money and Zero Coupon Bonds / 1.1：

電子ブック

ＥＢ

9. Ferroelectric materials for energy applications (: electronic bk)

edited by Haitao Huang and James F. Scott

出版情報:	[S.l.] : Wiley Online Library, [20--] 1 online resource xi, 372 p. ; 25 cm
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Preface

Fundamentals of Ferroelectric Materials / Ling B. Kong and Haitao Huang and Sean Li1：

Introduction / 1.1：

Piezoelectric Mechanical Energy Harvesting / 1.2：

Piezoelectricity / 1.2.1：

Brief History of Modern Piezoelectric Ceramics / 1.2.2：

Principle of Piezoelectric Effect for Mechanical Energy Harvesting / 1.2.3：

Pyroelectric Thermal Energy Harvesting / 1.3：

Principle of Pyroelectric Effect / 1.3.1：

Pyroelectric Coefficient and Electrocaloric Coefficient / 1.3.2：

Primary and Secondary Pyroelectric Coefficient / 1.3.3：

Tertiary Pyroelectric Coefficient and Other Aspects / 1.3.4：

Pyroelectric Effect versus Phase Transition / 1.3.5：

Electrocaloric (EC) Effect of Ferroelectric Materials / 1.4：

Ferroelectric Photovoltaic Solar Energy Harvesting / 1.5：

Concluding Remarks / 1.6：

References

Piezoelectric Energy Generation / Hong G. Yeo and Susan Trolier-McKinstry2：

Kinetic Energy Harvesting / 2.1：

Theory of Kinetic Energy Harvesting / 2.1.1：

Kinetic Vibration Source in the Ambient / 2.1.2：

Transducers for Mechanical Energy Harvesting / 2.1.3：

Piezoelectric Vibration Harvesting / 2.2：

Theory of Piezoelectric Vibration Energy Harvesting / 2.2.1：

Choice of Materials for Energy Harvesting / 2.3：

Materials for Piezoelectric MEMS Harvesting / 2.3.1：

Effect of Stress Induced by Substrate / 2.3.2：

Design and Configuration of Piezoelectric Harvester / 2.4：

Option of Piezoelectric Configuration / 2.4.1：

Unimorph and Bimorph Structures / 2.4.2：

Linear Piezoelectric Energy Harvesters / 2.4.3：

Nonlinear Energy Harvesting / 2.4.4：

Review of Piezoelectric Thin Films on Metal Substrate (Foils) / 2.5：

Conclusions / 2.6：

Ferroelectric Photovoltaics / Akash Bhatnagar3：

Historical Background / 3.1：

Recent Studies / 3.2.1：

Modulation of the Effect / 3.3：

Polarization / 3.3.1：

Electrodes / 3.3.2：

Band Gap Engineering / 3.3.3：

Photo-mechanical Coupling / 3.3.4：

Summary and Outlook / 3.4：

Organic-Inorganic Hybrid Perovskites for Solar Energy Conversion / Peng You and Feng Yan4：

Fundamental Properties of Hybrid Perovskites / 4.1：

Crystal Structures / 4.2.1：

Optical Properties / 4.2.2：

Charge Transport Properties / 4.2.3：

Compositional Engineering and Bandgap Tuning / 4.2.4：

Synthesis of Hybrid Perovskite Crystals / 4.3：

Bulk Crystal Growth / 4.3.1：

Nanocrystal Synthesis / 4.3.2：

Deposition Methods of Perovskite Films / 4.4：

One-Step Solution Process / 4.4.1：

Two-Step Solution Process / 4.4.2：

Vapor-Phase Deposition / 4.4.3：

Efficiency Roadmap of Perovskite Solar Cells / 4.5：

Working Mechanism and Device Architectures of Perovskite Solar Cells / 4.6：

Key Challenges of Perovskite Solar Cells / 4.7：

Long-Term Stability / 4.7.1：

I-V Hysteresis / 4.7.2：

Toxicity of Raw Materials / 4.7.3：

Summary and Perspectives / 4.8：

Dielectric Ceramics and Films for Electrical Energy Storage / Xihong Hao5：

Principles of Dielectric Capacitors for Electrical Energy Storage / 5.1：

The Basic Knowledge on Capacitors / 5.2.1：

Some Important Parameters for Electrical Energy Storage / 5.2.2：

Energy-Storage Density / 5.2.2.1：

Energy Efficiency / 5.2.2.2：

Breakdown Strength (BDS) / 5.2.2.3：

Thermal Stability / 5.2.2.4：

Power Density / 5.2.2.5：

Service Life / 5.2.2.6：

Measurement Techniques of Energy Density / 5.2.3：

Polarization-Based Method / 5.2.3.1：

Indirect Calculated Method / 5.2.3.2：

Direct Charge-Discharge Method / 5.2.3.3：

The Energy-Storage Performance in Paraelectric-Like Metal Oxides / 5.3：

Simple Metal Oxides / 5.3.1：

TiO₂ / 5.3.1.1：

ZrO₂ / 5.3.1.2：

Al₂O₃ / 5.3.1.3：

Multi-metal Oxides / 5.3.2：

SrTiO₃ / 5.3.2.1：

Bi_1.5Zn_0.9Nb_1.5O_6.9 / 5.3.2.2：

The Energy-Storage Performance in Antiferroelectrics / 5.4：

PbZrO₃-Based Antiferroelectric / 5.4.1：

(Na_0.5Bi_0.5)TiO₃-Based Antiferroelectric / 5.4.2：

AgNbO₃-Based Antiferroelectric / 5.4.3：

HfO₂-Based Antiferroelectric / 5.4.4：

Energy-Storage Performance in Glass-Ceramic Ferroelectrics / 5.5：

Glass-Ceramic Ferroelectrics Prepared by Compositing Method / 5.5.1：

Glass-ceramic Prepared by Body-crystallization Method / 5.5.2：

Lead-Containing Glass-ceramic / 5.5.2.1：

BaTiO₃-Based Glass-ceramic / 5.5.2.2：

Nb-Containing Glass-ceramic / 5.5.2.3：

Interface Effect-Related Energy-Storage Performance / 5.5.3：

Energy-Storage Performance in Relaxor Ferroelectrics / 5.6：

PLZT Relaxor Ferroelectrics / 5.6.1：

BaTiO₃-Based Relaxor Ferroelectrics / 5.6.2：

PbTiO₃-Based Relaxor Ferroelectrics / 5.6.3：

BiFeO₃-Based Relaxor Ferroelectrics / 5.6.4：

The General Future Prospects / 5.7：

Ferroelectric Polymer Materials for Electric Energy Storage / Zhi-Min Dang and Ming-Sheng Zheng and Jun-Wei Zha6：

Energy Storage Theory / 6.1：

Energy Storage of Ferroelectric Polymers / 6.3：

Energy Storage of Ferroelectric Polymer-Based Nanocomposites / 6.4：

Ferroelectric Polymer-Based Nanocomposites Using 0D Nanofillers / 6.4.1：

Surface-Modified OD Nanofillers / 6.4.1.1：

Core-Shell Structure OD Nanofillers / 6.4.1.2：

Multilevel Structure Nanocomposites / 6.4.1.3：

Ferroelectric Polymer-Based Nanocomposites Using 1D Nanofillers / 6.4.2：

Surface-Modified 1D Nanofillers / 6.4.2.1：

Core-Shell Structure 1D Nanofillers / 6.4.2.2：

Ferroelectric Polymer-Based Nanocomposites Using 2D Nanofillers / 6.4.2.3：

Summary / 6.5：

Pyroelectric Energy Harvesting: Materials and Applications / Chris R. Bowen and Mengying Xie and Yan Zhang and Vitaly Yu and Topolov and Chaoying Wan7：

Introduction to Pyroelectric Energy Harvesting / 7.1：

Nanostructured and Microscale Materials and Devices / 7.2：

Hybrid Pyroelectric Generators / 7.3：

I Hybrid Piezoelectric and Pyroelectric System

Hybrid Pyroelectric and Solar Systems / 7.3.2：

Pyroelectric Oscillator Systems / 7.4：

Pyroelectric Coupling with Electrochemical Systems / 7.5：

Porous Pyroelectric Materials / 7.6：

Manufacture of Isotropic Porous Pyroelectric Materials / 7.6.1：

Lost Wax Replication of a Coral Skeleton (Positive Template) / 7.61.1：

Polymeric Sponge (Positive Template) / 7.6.1.2：

Burned Out Plastic Spheres (BURPS) (Negative Template) / 7.6.1.3：

Direct Pore Forming / 7.6.1.4：

Gel Casting / 7.6.1.5：

Manufacture of Anisotropic Porous Pyroelectric Materials / 7.6.2：

Freeze Casting / 7.6.2.1：

3D Rapid Prototyping / 7.6.2.2：

Figures of Merit and Applications Concerned with Radiations / 7.7：

Acknowledgments / 7.8：

Ferroelectrics in Electrocaloric Cooling / Biaolin Peng and Qi Zhang8：

Fundamentals of Electrocaloric Effects / 8.1：

Maxwell Relations and Coupled Electrocaloric Effects / 8.1.1：

Electrocaloric Effect Derived from the Landau-Devonshire Phenomenological Theory / 8.1.2：

Physical Upper Bounds on the Electrocaloric Effect Derived from the Statistical Thermodynamics Theory / 8.1.3：

ECE Measurement Methods / 8.1.4：

Positive and Negative Electrocaloric Effects / 8.1.5：

Electrocaloric Devices / 8.2：

Electrocaloric Refrigerator Prototype / 8.2.1：

MLCC and MLPC EC Refrigerator Modules / 8.2.2：

Electrocaloric Materials / 8.3：

EC in Ferroelectric Ceramics / 8.3.1：

In Bulk Ceramics and Single Crystals / 8.3.1.1：

In Thin Films / 8.3.1.2：

EC in Ferroelectric Polymer Materials / 8.3.2：

In Normal Ferroelectric Polymers / 8.3.2.1：

In Relaxor Ferroelectric Terpolymers / 8.3.2.2：

EC in Other Materials / 8.3.3：

In Composites / 8.3.3.1：

In Liquid Crystals / 8.3.3.2：

In Fast Ion Conductors / 8.3.3.3：

Ferroelectrics in Photocatalysis / Liang Fang and Lu You and Jun-Ming Liu8.4：

Fundamental Principles of Semiconductor Photocatalysis / 9.1：

Advances in Understanding Ferroelectric Photo catalytic Mechanisms / 9.3：

Photochemistry of Ferroelectric Materials / 9.4：

Photocatalytic Degradation Using Ferroelectric Materials / 9.5：

Photocatalytic Water-splitting Using Ferroelectric Materials / 9.6：

Conclusion and Perspectives / 9.7：

Light Absorption / 9.7.1：

Carrier Separation and Transport / 9.7.2：

Carrier Collection/Reaction / 9.7.3：

First-Principles Calculations on Ferroelectrics for Energy Applications / Gelei Jiang and Weijin Chen and Yue Zheng10：

Methods / 10.1：

First-Principles Calculations / 10.2.1：

First-Principles-Derived Effective Hamiltonian Method / 10.2.2：

Energy Conversion / 10.3：

Piezoelectric and Flexoelectric Effect / 10.3.1：

Photovoltaic Effect / 10.3.2：

Pyroelectric and Electrocaloric Effect / 10.3.3：

Energy Storage / 10.4：

Future Perspectives / Haitao Huang11：

Enhanced Lithium Ion Transport in Polymer Electrolyte / 11.1：

Enhanced Polysulfide Trapping in Li-S Batteries / 11.2：

Enhanced Dissociation of Excitons / 11.3：

New Materials / 11.4：

New Applications / 11.5：

Index

Preface

Fundamentals of Ferroelectric Materials / Ling B. Kong and Haitao Huang and Sean Li1：

Introduction / 1.1：

10.

電子ブック

ＥＢ

10. Introduction to empirical processes and semiparametric inference (: electronic bk)

Michael R. Kosorok

出版情報:	[Berlin] : SpringerLink, [20--] 1 online resource (xiv, 483 p.)
シリーズ名:	Springer series in statistics
子書誌情報:	loading…
所蔵情報:	loading…

目次情報: 続きを見る

Preface

Overview / I：

Introduction / 1：

An Overview of Empirical Processes / 2：

The Main Features / 2.1：

Empirical Process Techniques / 2.2：

Stochastic Convergence / 2.2.1：

Entropy for Glivenko-Cantelli and Donsker Theorems / 2.2.2：

Bootstrapping Empirical Processes / 2.2.3：

The Functional Delta Method / 2.2.4：

Z-Estimators / 2.2.5：

M-Estimators / 2.2.6：

絞り込み条件: