Conjugate gradient algorithms in nonconvex optimization [electronic resource] / Radosław Pytlak.

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 t...

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Bibliographic Details

Online Access:	Full Text (via Springer)
Main Author:	Pytlak, Radosław, 1956-
Format:	Electronic eBook
Language:	English
Published:	Berlin : Springer, ©2009.
Series:	Nonconvex optimization and its applications ; v. 89.
Subjects:	Conjugate gradient methods. Algorithms. Mathematical optimization.