Global convergence analysis of a new nonlinear conjugate gradient coefficient with strong Wolfe line search
Published: Jan 1, 2015
Abstract
Nonlinear conjugate gradient (CG) methods are the most important method for solving large-scale unconstrained optimization problems. Many studies and modifications have been conducted recently to improve this method. In this paper, a new class of conjugate gradient coefficients (βk) with a new parameter m=‖gk‖/‖gk−1‖ that possess global convergence properties is presented. The global convergence and sufficient decent property result is...
Paper Details
Title
Global convergence analysis of a new nonlinear conjugate gradient coefficient with strong Wolfe line search
Published Date
Jan 1, 2015
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