Using the Update of Conditional BFGS in Constrained Optimization
Section: Research Paper
Abstract
In this paper, we have used one of the preconditioned conjugate gradient algorithm with the Quasi Newton approximation; namely the BFGS preconditioned algorithm which was suggested by (AL-Bayati and Aref, 2001). In this paper we have suggested a new algorithm for constrained optimization with robust numerical results, for solving constrained optimization problems.
Identifiers
Download this PDF file
Statistics
How to Cite
Y. Al-Bayati, A., & Ahmed Mitras, B. (2009). Using the Update of Conditional BFGS in Constrained Optimization. AL-Rafidain Journal of Computer Sciences and Mathematics, 6(2), 11–20. https://doi.org/10.33899/csmj.2009.163812
Copyright and Licensing
This work is licensed under a Creative Commons Attribution 4.0 International License.
