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 and l...

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Bibliographic Details
Main Author: Pytlak, Radosław (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series:Nonconvex Optimization and Its Applications, 89
Subjects:
Online Access:Full Text via HEAL-Link

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