A family of spectral conjugate gradient methods with strong convergence and its applications in image restoration and machine learning-Reference-Cited by-同舟云学术

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A family of spectral conjugate gradient methods with strong convergence and its applications in image restoration and machine learning

Published:2024-09 Issue:13 Volume:361 Page:107033
ISSN:0016-0032
Container-title:Journal of the Franklin Institute
language:en
Short-container-title:Journal of the Franklin Institute

Author:

Jiang Xianzhen,Pan Ligang,Liu Meixing,Jian Jinbao^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference47 articles.

1. Method of conjugate gradient for solving linear systems;Hestenes;J. Res. Natl. Bur. Stand.,1952

2. Function minimization by conjugate gradients;Fletcher;Comput. J.,1964

3. Note surla convergence demethods de directions conjugèes;Polak;Rev. Fr. Autom. Inform. Rech. Oper. 3e Ann.,1969

4. The conjugate gradient method in extremal problems;Polyak;USSR Comput. Math. Math. Phys.,1969

5. Unconstrained Optimization Practical Methods of Optimization, Vol. 1;Fletcher,1987

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