Compact Numerical Methods for Computers: Linear Algebra and Function Minimisation
This second edition of Compact Numerical Methods for Computers presents reliable yet compact algorithms for computational problems. As in the previous edition, the author considers specific mathematical problems of wide applicability, develops approaches to a solution and the consequent algorithm, and provides the program steps. He emphasizes usefu
"1133957197"
Compact Numerical Methods for Computers: Linear Algebra and Function Minimisation
This second edition of Compact Numerical Methods for Computers presents reliable yet compact algorithms for computational problems. As in the previous edition, the author considers specific mathematical problems of wide applicability, develops approaches to a solution and the consequent algorithm, and provides the program steps. He emphasizes usefu
51.99 In Stock
Compact Numerical Methods for Computers: Linear Algebra and Function Minimisation

Compact Numerical Methods for Computers: Linear Algebra and Function Minimisation

by John C. Nash
Compact Numerical Methods for Computers: Linear Algebra and Function Minimisation

Compact Numerical Methods for Computers: Linear Algebra and Function Minimisation

by John C. Nash

eBook

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Overview

This second edition of Compact Numerical Methods for Computers presents reliable yet compact algorithms for computational problems. As in the previous edition, the author considers specific mathematical problems of wide applicability, develops approaches to a solution and the consequent algorithm, and provides the program steps. He emphasizes usefu

Product Details

ISBN-13: 9781351459556
Publisher: CRC Press
Publication date: 12/13/2018
Sold by: Barnes & Noble
Format: eBook
Pages: 278
File size: 18 MB
Note: This product may take a few minutes to download.

About the Author

John C. Nash

Table of Contents

A starting point Formal problems in linear algebra The singular-value decomposition and its use to solve least-squares problems Handling larger problems Some comments on the formation of the cross-product matrix ATA Linear equations-a direct approach The Choleski decomposition The symmetric positive definite matrix again The algebraic eigenvalue generalized problem Real symmetric matrices The generalized symmetric matrix eigenvalue problem Optimization and nonlinear equations One-dimensional problems Direct search methods Descent to a minimum I-variable metric algorithms Descent to a minimum II-conjugate gradients Minimizing a nonlinear sum of squares Leftovers The conjugate gradients method applied to problems in linear algebra Appendices Bibliography Index
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