An optimal parameter choice for the Dai–Liao family of conjugate gradient methods by avoiding a direction of the maximum magnification by the search direction matrix-Reference-Cited by-同舟云学术

An optimal parameter choice for the Dai–Liao family of conjugate gradient methods by avoiding a direction of the maximum magnification by the search direction matrix

Published:2018-09-26 Issue:3 Volume:17 Page:317-330
ISSN:1619-4500
Container-title:4OR
language:en
Short-container-title:4OR-Q J Oper Res

Author:

Aminifard Zohre,Babaie-Kafaki Saman

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Management Information Systems,Management Science and Operations Research

Link

http://link.springer.com/content/pdf/10.1007/s10288-018-0387-1.pdf

Reference38 articles.

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3. Andrei N (2016) An adaptive conjugate gradient algorithm for large-scale unconstrained optimization. J Comput Appl Math 292(1):83–91

4. Andrei N (2017) A Dai–Liao conjugate gradient algorithm with clustering of eigenvalues. Numer Algorithms 77:1273–1282. https://doi.org/10.1007/s11075-017-0362-5

5. Babaie-Kafaki S (2014) On the sufficient descent condition of the Hager–Zhang conjugate gradient methods. 4OR 12(3):285–292

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