Nonlinear Conjugate Gradient Methods with Wolfe Type Line Search

Yuan-Yuan Chen and Shou-Qiang Du

Abstract and Applied Analysis, 2013, vol. 2013, 1-5

Abstract:

Nonlinear conjugate gradient method is one of the useful methods for unconstrained optimization problems. In this paper, we consider three kinds of nonlinear conjugate gradient methods with Wolfe type line search for unstrained optimization problems. Under some mild assumptions, the global convergence results of the given methods are proposed. The numerical results show that the nonlinear conjugate gradient methods with Wolfe type line search are efficient for some unconstrained optimization problems.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:742815

DOI: 10.1155/2013/742815

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