This work is on algorithms for large-scale unconstrained and bound constrained optimization. Optimization techniques are shown from a conjugate gradient algorithm perspective. A large part of the book is devoted to preconditioned conjugate gradient algorithms.
| ISBN: | 9783540856337 |
| Publication date: | 11th December 2008 |
| Author: | Radoslaw Pytlak |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Hardback |
| Pagination: | 477 pages |
| Series: | Nonconvex Optimization and Its Applications |
| Genres: |
Optimization Security and fire alarm systems Management decision making Operational research |
This work is on algorithms for large-scale unconstrained and bound constrained optimization. Optimization techniques are shown from a conjugate gradient algorithm perspective.
Conjugate Gradient Algorithms in Nonconvex Optimization features in the following genres: Optimization, Security and fire alarm systems, Management decision making, Operational research
Paperback, Hardback. Not Available.
Conjugate Gradient Algorithms in Nonconvex Optimization was written by Radoslaw Pytlak and published by Springer an imprint of Springer Berlin Heidelberg
Conjugate Gradient Algorithms in Nonconvex Optimization has 477 pages
Yes it is part of Nonconvex Optimization and Its Applications series