Global convergence of a family of modified BFGS methods under a modified weak-Wolfe–Powell line search for nonconvex functions-Reference-Cited by-同舟云学术

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Global convergence of a family of modified BFGS methods under a modified weak-Wolfe–Powell line search for nonconvex functions

Published:2019-07-16 Issue:2 Volume:18 Page:219-244
ISSN:1619-4500
Container-title:4OR
language:en
Short-container-title:4OR-Q J Oper Res

Author:

Bojari S.,Eslahchi M. R.^ORCID

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/s10288-019-00412-2.pdf

Reference39 articles.

1. Al-Baali M, Khalfan H (2012) A combined class of self-scaling and modified quasi-Newton methods. Comput Optim Appl 52:393–408

2. Al-Baali M, Grandinetti L, Pisacane O (2014) Damped techniques for the limited memory BFGS method for large-scale optimization. J Optim Theory Appl 161:688–699

3. Amini K, Rizi AG (2010) A new structured quasi-Newton algorithm using partial information on hessian. J Comput Appl Math 234:805–811

4. Andrei N (2008) An unconstrained optimization test functions collection. Adv Model Optim 10:147–161

5. Biglari F, Mahmoodpur F (2016) Scaling damped limited-memory updates for unconstrained optimization. J Optim Theory Appl 170:177–188

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