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2013 A Self-Adjusting Spectral Conjugate Gradient Method for Large-Scale Unconstrained Optimization
Yuanying Qiu, Dandan Cui, Wei Xue, Gaohang Yu
Abstr. Appl. Anal. 2013(SI01): 1-8 (2013). DOI: 10.1155/2013/814912

Abstract

This paper presents a hybrid spectral conjugate gradient method for large-scale unconstrained optimization, which possesses a self-adjusting property. Under the standard Wolfe conditions, its global convergence result is established. Preliminary numerical results are reported on a set of large-scale problems in CUTEr to show the convergence and efficiency of the proposed method.

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Yuanying Qiu. Dandan Cui. Wei Xue. Gaohang Yu. "A Self-Adjusting Spectral Conjugate Gradient Method for Large-Scale Unconstrained Optimization." Abstr. Appl. Anal. 2013 (SI01) 1 - 8, 2013. https://doi.org/10.1155/2013/814912

Information

Published: 2013
First available in Project Euclid: 26 February 2014

zbMATH: 1278.90389
MathSciNet: MR3044998
Digital Object Identifier: 10.1155/2013/814912

Rights: Copyright © 2013 Hindawi

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