This book details algorithms for large-scale unconstrained and bound constrained optimization. It shows optimization techniques from a conjugate gradient algorithm perspective as well as methods of shortest residuals, which have been developed by the author.
| ISBN: | 9783642099250 |
| Publication date: | 20th November 2010 |
| Author: | Radoslaw Pytlak |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 478 pages |
| Series: | Nonconvex Optimization and Its Applications |
| Genres: |
Optimization Security and fire alarm systems Management decision making Operational research |
This book details algorithms for large-scale unconstrained and bound constrained optimization. It shows optimization techniques from a conjugate gradient algorithm perspective as well as methods of shortest residuals, which have been developed by the author.
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 478 pages
Yes it is part of Nonconvex Optimization and Its Applications series