• A MODIFIED OF CONJUGATE GRADIENT ALGORITHM FOR UNCONSTRAINED OPTIMIZATION

Mardeen Sh. Taher*

Abstract


The conjugate gradient method is a very useful technique for solving minimization problems and has wide applications in many fields. In this paper we develop a new class of conjugate gradient methods for unconstrained optimization; conjugate gradient methods are widely used for large scale unconstrained optimization problems. In addition to ,The performance of a modified Wolf line search rules related to CG-method type method with the results from  standard Wolf line search rules are compared.


Keywords


Unconstrained optimizations, line search, Wolfe conditions, conjugate gradient method modified secant condition.

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