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A self-adjusting spectral conjugate gradient method for large-scale unconstrained optimization - MaRDI portal

A self-adjusting spectral conjugate gradient method for large-scale unconstrained optimization (Q370232)

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scientific article; zbMATH DE number 6209455
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A self-adjusting spectral conjugate gradient method for large-scale unconstrained optimization
scientific article; zbMATH DE number 6209455

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    A self-adjusting spectral conjugate gradient method for large-scale unconstrained optimization (English)
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    19 September 2013
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    Summary: 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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    self-adjusting property
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    Wolfe conditions
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