文章基本信息

标题：A New Coefficient of the Conjugate Gradient Method with the Sufficient Descent Condition and Global Convergence Properties
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作者：Maulana Malik ; Mustafa Mamat ; Siti Sabariah Abas 等
期刊名称：Engineering Letters
印刷版ISSN：1816-093X
电子版ISSN：1816-0948
出版年度：2020
卷号：28
期号：3
页码：704-714
语种：English
出版社：Newswood Ltd
摘要：Conjugate gradient methods are the most famousmethods for solving unconstrained, large-scale optimization. Inthis article, we propose a new coefficient of the conjugate gra-dient method for solving unconstrained minimization problems.The new method is a modification of NPRP (2009) coefficient.The sufficient descent condition and global convergence of thenew method are given under the exact line search and thestrong Wolfe line search with σ ∈ (0,18 ). The numerical resultsshow that the new method has good performance in solvingunconstrained minimization problems.
关键词：Conjugate gradient method; unconstrained minimization problem; sufficient descent condition; global con- vergence; exact line search; strong Wolfe line search.