Memory gradient method with Goldstein line search-Reference-Cited by-同舟云学术

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Memory gradient method with Goldstein line search

Published:2007-01 Issue:1 Volume:53 Page:28-40
ISSN:0898-1221
Container-title:Computers & Mathematics with Applications
language:en
Short-container-title:Computers & Mathematics with Applications

Author:

Shi Zhen-Jun,Shen Jie

Publisher

Elsevier BV

Subject

Computational Mathematics,Computational Theory and Mathematics,Modeling and Simulation

Reference38 articles.

1. Convergence properties of the Fletcher–Reeves method;Dai;IMA J. Numer. Anal.,1996

2. Global convergence properties of conjugate gradient methods for optimization;Gilbert;SIAM J. Optim.,1992

3. A globally convergent version of the Polak-Ribière conjugate gradient method;Grippo;Math. Prog.,1997

4. Global convergence restart for conjugate gradient methods;Hu;J. Optim. Theory Appl.,1991

5. Alternation and recurrences in two-step quasi-Newton methods;Ford;Comput. Math. Appl.,2005

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1. Predictive Gradient Based Control Using Hammerstein Model for MEMS Micromirrors;IEEE/ASME Transactions on Mechatronics;2023

2. FEM updating for damage modeling of composite cylinders under radial compression considering the winding pattern;Thin-Walled Structures;2022-04

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