Review paper
The global convergence properties of a conjugate gradient method
Abstract
Conjugate gradient methods are the most famous methods for solving nonlinear unconstrained optimization problems, especially large scale problems. That is, for its simplicity and low memory requirement. The strong Wolfe line search are usually used in practice for the analyses and implementations of conjugate gradient methods. In this paper, we present a new method of nonlinear conjugate gradient method with strong Wolfe line search for...
Paper Details
Title
The global convergence properties of a conjugate gradient method
Published Date
Jan 1, 2014
Journal
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