A globally convergent gradient-like method based on the Armijo line search
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نویسنده
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kamandi ahmad ,amini keyvan
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منبع
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journal of mathematical modeling - 2021 - دوره : 9 - شماره : 4 - صفحه:665 -676
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چکیده
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In this paper, a new conjugate gradient-like algorithm is proposed to solve unconstrained optimization problems. the step directions generated by the new algorithm satisfy sufficient descent condition independent of the line search. the global convergence of the new algorithm, with the armijo backtracking line search, is proved. numerical experiments indicate the efficiency and robustness of the new algorithm
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کلیدواژه
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Unconstrained optimization conjugate gradient algorithm global convergence Armijo condition
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آدرس
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university of science and technology of mazandaran, department of mathematics, Iran, razi university, department of mathematics, Iran
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