Conjugate Gradient Algorithms in Nonconvex Optimization

By Radoslaw Pytlak

Book Overview

Conjugate Direction Methods for Quadratic Problems.- Conjugate Gradient Methods for Nonconvex Problems.- Memoryless Quasi-Newton Methods.- Preconditioned Conjugate Gradient Algorithms.- Limited Memory Quasi-Newton Algorithms.- The Method of Shortest Residuals and Nondifferentiable Optimization.- The Method of Shortest Residuals for Differentiable Problems.- The Preconditioned Shortest Residuals Algorithm.- Optimization on a Polyhedron.- Conjugate Gradient Algorithms for Problems with Box Constraints.- Preconditioned Conjugate Gradient Algorithms for Problems with Box Constraints.- Preconditioned Conjugate Gradient Based Reduced-Hessian Methods.

• Format: Paperback
• Language: English
• ISBN: 3642099254
• ISBN13: 9783642099250
• Release Date: November 2010
• Publisher: Springer
• Length: 478 Pages
• Weight: 1.54 lbs.
• Dimensions: 1.0" x 6.1" x 9.2"