A New Modified Nonlinear Conjugate Gradient Method with Sufficient Descent Property for Unconstrained Optimization
Motivated by some well-known conjugate gradient methods, in this paper, we propose a new hybrid conjugate gradient method for unconstrained optimization. Without any dependence on line search, the new method generates sufficient descent property. Under some mild conditions, we prove that the new met...
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Published in | Engineering letters Vol. 31; no. 3; p. 1 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Hong Kong
International Association of Engineers
16.08.2023
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Subjects | |
Online Access | Get full text |
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Summary: | Motivated by some well-known conjugate gradient methods, in this paper, we propose a new hybrid conjugate gradient method for unconstrained optimization. Without any dependence on line search, the new method generates sufficient descent property. Under some mild conditions, we prove that the new method with MWWP line search is globally convergent. Our numerical experiments show the effectiveness and robustness of the new modified method in comparison with three exiting algorithms. |
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ISSN: | 1816-093X 1816-0948 |