A Switching Criterion in Hybrid Quasi-Newton BFGS - Steepest Descent Direction
Two modified methods for unconstrained optimization are presented. The methods employ a hybrid descent direction strategy which uses a linear convex combination of quasi-Newton BFGS and steepest descent as search direction. A switching criterion is derived based on the First and Second order Kuhn-T...
Zapisane w:
Główni autorzy: | Abu Hassan, Malik, Monsi, Mansor, Leong, Wah June |
---|---|
Format: | Artykuł |
Język: | English English |
Wydane: |
Universiti Putra Malaysia Press
1999
|
Dostęp online: | http://psasir.upm.edu.my/id/eprint/3467/1/A_Switching_Criterion_in_Hybrid_Quasi-Newton.pdf |
Etykiety: |
Dodaj etykietę
Nie ma etykietki, Dołącz pierwszą etykiete!
|
Podobne zapisy
-
Scaled memoryless BFGS preconditioned steepest descent method for very large-scale unconstrained optimization
od: Leong, Wah June, i wsp.
Wydane: (2009) -
Convergence of the Steepest Descent Method for Minimizing
Convex Functions
od: Abu Hassan, Malik, i wsp.
Wydane: (2002) -
BFGS method: a new search direction
od: Ibrahim, Mohd Asrul Hery, i wsp.
Wydane: (2014) -
Modified Quasi-Newton Methods For Large-Scale Unconstrained Optimization
od: Leong, Wah June
Wydane: (2003) -
Modified Quasi-Newton Methods For Large-Scale Unconstrained Optimization
od: Leong, Wah June
Wydane: (2003)