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Convergence of memory gradient methods.
- Source :
- International Journal of Computer Mathematics; Jul2008, Vol. 85 Issue 7, p1039-1053, 15p, 2 Charts
- Publication Year :
- 2008
-
Abstract
- In this paper we present a new class of memory gradient methods for unconstrained optimization problems and develop some useful global convergence properties under some mild conditions. In the new algorithms, trust region approach is used to guarantee the global convergence. Numerical results show that some memory gradient methods are stable and efficient in practical computation. In particular, some memory gradient methods can be reduced to the BB method in some special cases. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00207160
- Volume :
- 85
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- International Journal of Computer Mathematics
- Publication Type :
- Academic Journal
- Accession number :
- 32746763
- Full Text :
- https://doi.org/10.1080/00207160701466370