A new conjugate gradient method and its global convergence under the exact line search
Abstract
The conjugate gradient methods are numerously used for solving nonlinear unconstrained optimization problems, especially of large scale. Their wide applications are due to their simplicity and low memory requirement. To analyze conjugate gradient methods, two types of line searches are used; exact and inexact. In this paper, we present a new method of nonlinear conjugate gradient methods under the exact line search. The theoretical analysis...
Paper Details
Title
A new conjugate gradient method and its global convergence under the exact line search
Published Date
Jan 1, 2014
Journal
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