Conjugate Gradient Algorithms in Nonconvex Optimization pdf epub mobi txt 电子书下载 2024

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Pytlak, Radoslaw

503

$ 213.57

9783540856337

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发表于2024-12-26

Conjugate Gradient Algorithms in Nonconvex Optimization epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Conjugate Gradient Algorithms in Nonconvex Optimization pdf epub mobi txt 电子书下载 2024

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This up-to-date book is on algorithms for large-scale unconstrained and bound constrained optimization. Optimization techniques are shown from a conjugate gradient algorithm perspective. Large part of the book is devoted to preconditioned conjugate gradient algorithms. In particular memoryless and limited memory quasi-Newton algorithms are presented and numerically compared to standard conjugate gradient algorithms. The special attention is paid to the methods of shortest residuals developed by the author. Several effective optimization techniques based on these methods are presented. Because of the emphasis on practical methods, as well as rigorous mathematical treatment of their convergence analysis, the book is aimed at a wide audience. It can be used by researches in optimization, graduate students in operations research, engineering, mathematics and computer science. Practitioners can benefit from numerous numerical comparisons of professional optimization codes discussed in the book.

Conjugate Gradient Algorithms in Nonconvex Optimization 下载 mobi epub pdf txt 电子书