Conjugate gradient algorithms in nonconvex optimization

Conjugate gradient algorithms in nonconvex optimization

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 an...

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Main Author: Pytlak, Radosław
Format: Book
Language:English
Published: Springer 2017
Subjects:
MATHEMATICS > Numerical Analysis ; Calculus of Variations and Optimal Control; Optimization
518.1
Online Access:http://repository.vnu.edu.vn/handle/VNU_123/30210
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Institution: Vietnam National University, Hanoi
Language: English
id oai:112.137.131.14:VNU_123-30210
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spelling oai:112.137.131.14:VNU_123-302102020-07-01T02:41:35Z Conjugate gradient algorithms in nonconvex optimization Pytlak, Radosław MATHEMATICS -- Numerical Analysis ; Calculus of Variations and Optimal Control; Optimization 518.1 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 (...) 2017-04-18T01:18:53Z 2017-04-18T01:18:53Z 2009 Book 978-3-540-85633-7 http://repository.vnu.edu.vn/handle/VNU_123/30210 en 493 p. application/pdf Springer
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic MATHEMATICS -- Numerical Analysis ; Calculus of Variations and Optimal Control; Optimization
518.1
spellingShingle MATHEMATICS -- Numerical Analysis ; Calculus of Variations and Optimal Control; Optimization
518.1
Pytlak, Radosław
Conjugate gradient algorithms in nonconvex optimization
description 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 (...)
format Book
author Pytlak, Radosław
author_facet Pytlak, Radosław
author_sort Pytlak, Radosław
title Conjugate gradient algorithms in nonconvex optimization
title_short Conjugate gradient algorithms in nonconvex optimization
title_full Conjugate gradient algorithms in nonconvex optimization
title_fullStr Conjugate gradient algorithms in nonconvex optimization
title_full_unstemmed Conjugate gradient algorithms in nonconvex optimization
title_sort conjugate gradient algorithms in nonconvex optimization
publisher Springer
publishDate 2017
url http://repository.vnu.edu.vn/handle/VNU_123/30210
_version_ 1680968447534563328

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