A new hybrid conjugate gradient method for large-scale unconstrained optimization problem with non-convex objective function-Reference-Cited by-同舟云学术

A new hybrid conjugate gradient method for large-scale unconstrained optimization problem with non-convex objective function

Published:2019-10-10 Issue:4 Volume:38 Page:
ISSN:2238-3603
Container-title:Computational and Applied Mathematics
language:en
Short-container-title:Comp. Appl. Math.

Author:

Khoshgam Zahra,Ashrafi Ali^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Link

http://link.springer.com/content/pdf/10.1007/s40314-019-0973-7.pdf

Reference27 articles.

1. Andrei N (2008) Another hybrid conjugate gradient algorithm for unconstrained optimization. Numer Algor 47:143–156

2. Andrei N (2010) Accelerated hybrid conjugate gradient algorithm with modified secant condition for unconstrained optimization. Numer Algor 54(1):23–46

3. Andrei N (2011) Open problems in conjugate gradient algorithms for unconstrained optimization. Bull Malays Math Sci Soc 34(2):319–330

4. Babaie-Kafaki S, Ghanbari R (2014) A modified scaled conjugate gradient method with global convergence for nonconvex functions. Belg Math Soc-SIM 21(3):465–477

5. Babaie-Kafaki S, Fatemi M, Mahdavi-Amiri N (2011) Two effective hybrid conjugate gradient algorithms based on modified BFGS updates. Numer Algor 58(3):315–331

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