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, issue 1

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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https://doi.org/10.1155/2013/814912

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Persistent link: https://EconPapers.repec.org/RePEc:wly:jnlaaa:v:2013:y:2013:i:1:n:814912

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