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EBOOK
Author Pytlak, Radosaw, 1956-
Title Conjugate gradient algorithms in nonconvex optimization / Radosaw Pytlak.
Imprint Berlin : Springer, 2009.

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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Pytlak, Radosaw, 1956-
Series Nonconvex optimization and its applications ; v. 89
Nonconvex optimization and its applications ; v. 89.
Subject Conjugate gradient methods.
Algorithms.
Mathematical optimization.
Description 1 online resource (xxvi, 477 pages) : illustrations.
Bibliography Note Includes bibliographical references and index.
Summary Explains algorithms for large-scale unconstrained and bound constrained optimization. This book shows optimization techniques from a conjugate gradient algorithm perspective. It is devoted to preconditioned conjugate gradient algorithms. It focuses on the methods of shortest residuals developed by the author.
Contents Conjugate directions methods for quadratic problems -- Conjugate gradient methods for nonconvex problems -- Memoryless quasi-Newton methods -- Preconditioned conjugate gradient algorithms -- Limited memory quasi-Newton algorithms -- A method of shortest residuals and nondifferentiable optimization -- The method of shortest residuals for smooth problems -- The preconditioned shortest residuals algorithm -- Optimization on a polyhedron -- Problems with box constraints -- The preconditioned shortest residuals algorithm with box -- Conjugate gradient reduced-Hessian method -- Elements of topology and analysis -- Elements of linear algebra.
Note English.
Print version record.
ISBN 9783540856344
354085634X
9783540856337
3540856331 (Cloth)
ISBN/ISSN 10.1007/978-3-540-85634-4
Publisher # 12516261
OCLC # 310353097
Additional Format Print version: Pytlak, Radosaw, 1956- Conjugate gradient algorithms in nonconvex optimization. Berlin : Springer, 2009 9783540856337 3540856331 (OCoLC)297796432



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