Implementation of Symmetric Rank-One Methods for Unconstrained Optimization
The focus of this thesis is on analyzing the theoretical and computational aspects of some quasi-Newton (QN) methods for locating a minimum of a real valued function f over all vectors x 2 Rn. In many practical applications, the Hessian of the objective function may be too expensive to calculate or...
Saved in:
Main Author: | Khiyaban, Farzin Modarres |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2010
|
Online Access: | http://psasir.upm.edu.my/id/eprint/19590/1/FS_2010_41_F.pdf http://psasir.upm.edu.my/id/eprint/19590/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Structured symmetric rank-one method for unconstrained optimization
by: Modarres, Farzin, et al.
Published: (2011) -
Multi-steps symmetric rank-one update for unconstrained optimization
by: Modarres, Farzin, et al.
Published: (2009) -
Memoryless modified symmetric rank-one method for large-scale unconstrained optimization
by: Modarres, Farzin, et al.
Published: (2009) -
A symmetric rank-one method based on extra updating techniques for unconstrained optimization.
by: Modarres, Farzin, et al.
Published: (2011) -
Memoryless symmetric rank-one method based on modified secant equation for large-scale unconstrained optimization
by: Khiyabani, Farzin Modarres, et al.
Published: (2009)