Nonlinear partial differential equations in engineering

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Nonlinear partial differential equations in engineering / W.F. Ames

資料種別:: 図書
出版情報:: New York ; London : Academic Press, 1965-1972
形態:: 2 v. ; 24 cm
シリーズ名:: Mathematics in science and engineering : a series of monographs and textbooks ; v. 18, 18-2 <BA00009880>
著者名:: Ames, William F., 1926- <DA00865782>
ISBN:: 9780120567560 [0120567563] ([v. 1])
9780120567553 [0120567555] (v. 2)
書誌ID:: BA01595949

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主題:

偏微分方程式

言語:

英語

目次情報:

Preface

Overview / 1：

Methods of Operator Approximation in System Modelling / I：

Nonlinear Operator Approximation with Preassigned Accuracy / 2：

Introduction / 2.1：

Generic formulation of the problem / 2.2：

Operator approximation in space C([0; 1]) / 2.3：

Operator approximation in Banach spaces by polynomial operators / 2.4：

Approximation on compact sets in topological vector spaces / 2.5：

Approximation on noncompact sets in Hilbert spaces / 2.6：

Special results for maps into Banach spaces / 2.7：

Concluding remarks / 2.8：

Interpolation of Nonlinear Operators 65 / 3：

Lagrange interpolation in Banach spaces / 3.1：

Weak interpolation of nonlinear operators / 3.3：

Some related results / 3.4：

Realistic Operators and their Approximation / 3.5：

Formalization of concepts related to description of real-world objects / 4.1：

Approximation of RÂícontinuous operators / 4.3：

Methods of Best Approximation for Nonlinear Operators / 4.4：

Best Approximation of nonlinear operators in Banach spaces: Deterministic case / 5.1：

Estimation of mean and covariance matrix for random vectors / 5.3：

Best Hadamard-quadratic approximation / 5.4：

Best polynomial approximation / 5.5：

Best causal approximation / 5.6：

Best hybrid approximations / 5.7：

Optimal Estimation of Random Vectors / 5.8：

Computational Methods for Optimal Filtering of Stochastic Signals / 6：

Optimal linear Filtering in Finite dimensional vector spaces / 6.1：

Optimal linear Filtering in Hilbert spaces / 6.3：

Optimal causal linear Filtering with piecewise constant memory / 6.4：

Optimal causal polynomial Filtering with arbitrarily variable memory / 6.5：

Optimal nonlinear Filtering with no memory constraint / 6.6：

Computational Methods for Optimal Compression and Reconstruction of Random Data / 6.7：

Standard Principal Component Analysis and Karhunen-Loeeve transform (PCA{KLT) / 7.1：

Rank-constrained matrix approximations / 7.3：

Generic PCA{KLT / 7.4：

Optimal hybrid transform based on Hadamard-quadratic approximation / 7.5：

Optimal transform formed by a combination of nonlinear operators / 7.6：

Optimal generalized hybrid transform / 7.7：

Bibliography / 7.8：

Index

Preface

Overview / 1：

Methods of Operator Approximation in System Modelling / I：

Nonlinear Operator Approximation with Preassigned Accuracy / 2：

Introduction / 2.1：

Generic formulation of the problem / 2.2：

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