Abstract

The Hestenes-Stiefel (HS) conjugate gradient algorithm is a useful tool of unconstrained numerical optimization, which has good numerical performance but no global convergence result under traditional line searches. This paper proposes a line search technique that guarantee the global convergence of the Hestenes-Stiefel (HS) conjugate gradient method.
Numerical tests are presented to validate the different approaches.

Information

Item Type:	Conference
Divisions:	» Laboratory of Computer Science and Mathematics » Faculty of Science and Technology
ePrint ID:	254
Date Deposited:	2014-12-28
Further Information:	Google Scholar
URI:	https://www.univ-soukahras.dz/en/publication/article/254

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