A Self-Adjusting Spectral Conjugate Gradient Method for Large-Scale Unconstrained Optimization

Yuanying Qiu, Dandan Cui, Wei Xue and Gaohang Yu

Abstract and Applied Analysis, 2013, vol. 2013, 1-8

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:814912

DOI: 10.1155/2013/814912

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