Conjugate Gradient Algorithms in Nonconvex Optimization
| Author | : Radoslaw Pytlak |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 493 |
| Release | : 2008-11-18 |
| ISBN-10 | : 9783540856344 |
| ISBN-13 | : 354085634X |
| Rating | : 4/5 (34X Downloads) |
Book Synopsis Conjugate Gradient Algorithms in Nonconvex Optimization by : Radoslaw Pytlak
Download or read book Conjugate Gradient Algorithms in Nonconvex Optimization written by Radoslaw Pytlak and published by Springer Science & Business Media. This book was released on 2008-11-18 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
