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CONVERGENCE PROPERTIES OF CONJUGATEGRADIENT METHODS WITH STRONG WOLFE LINESEARCH 被引量:5

CONVERGENCE PROPERTIES OF CONJUGATE GRADIENT METHODS WITH STRONG WOLFE LINESEARCH
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摘要 In this paper, we investigate the convergence property of the conjugate gradientalgorithms which depend on the search directionsby using different choices for the scalar oh, where 9k is the gradient of f at ac. Undersome assumptions which are slightly weaker than those in [1], we prove a global convergenceresult which allows ac to be set in a wider range than that in [1]. In this paper, we investigate the convergence property of the conjugate gradientalgorithms which depend on the search directionsby using different choices for the scalar oh, where 9k is the gradient of f at ac. Undersome assumptions which are slightly weaker than those in [1], we prove a global convergenceresult which allows ac to be set in a wider range than that in [1].
出处 《Systems Science and Mathematical Sciences》 SCIE EI CSCD 1998年第2期112-116,共5页
关键词 CONJUGATE GRADIENT ALGORITHMS global convergence) UNCONSTRAINED optimization. Conjugate gradient algorithms, global convergence) unconstrained optimization.
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