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2014 Several Guaranteed Descent Conjugate Gradient Methods for Unconstrained Optimization
San-Yang Liu, Yuan-Yuan Huang
J. Appl. Math. 2014: 1-14 (2014). DOI: 10.1155/2014/825958

Abstract

This paper investigates a general form of guaranteed descent conjugate gradient methods which satisfies the descent condition gkTdk-1-1/4θkgk2θk>1/4 and which is strongly convergent whenever the weak Wolfe line search is fulfilled. Moreover, we present several specific guaranteed descent conjugate gradient methods and give their numerical results for large-scale unconstrained optimization.

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San-Yang Liu. Yuan-Yuan Huang. "Several Guaranteed Descent Conjugate Gradient Methods for Unconstrained Optimization." J. Appl. Math. 2014 1 - 14, 2014. https://doi.org/10.1155/2014/825958

Information

Published: 2014
First available in Project Euclid: 26 March 2014

zbMATH: 07010765
MathSciNet: MR3166790
Digital Object Identifier: 10.1155/2014/825958

Rights: Copyright © 2014 Hindawi

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