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Using the Update of Conditional BFGS in Constrained Optimization
- Source :
- Al-Rafidain Journal of Computer Sciences and Mathematics, Vol 6, Iss 2, Pp 11-20 (2009)
- Publication Year :
- 2009
- Publisher :
- Mosul University, 2009.
-
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.
- Subjects :
- Mathematical optimization
Computer science
lcsh:Mathematics
Constrained optimization
MathematicsofComputing_NUMERICALANALYSIS
qn-condition
General Medicine
lcsh:QA1-939
Computer Science::Numerical Analysis
bfgs update
constrained optimization
lcsh:QA75.5-76.95
Mathematics::Numerical Analysis
Broyden–Fletcher–Goldfarb–Shanno algorithm
lcsh:Electronic computers. Computer science
Subjects
Details
- Language :
- Arabic
- ISSN :
- 23117990 and 18154816
- Volume :
- 6
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Al-Rafidain Journal of Computer Sciences and Mathematics
- Accession number :
- edsair.doi.dedup.....c90431465da6dca963390bddffb3e14e