Quasi-Newton type method via weak secant equations for unconstrained optimization
In this thesis, variants of quasi-Newton methods are developed for solving unconstrained optimization problems. These quasi-Newton type methods are differed from the standard quasi-Newton methods in the calculation and storage of the approximate Hessian matrix at every iteration. Using the concep...
Saved in:
Main Author: | Lim, Keat Hee |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2021
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/112655/1/FS%202021%2069%20-%20IR.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Preconditioning Subspace Quasi-Newton Method for Large Scale Unconstrained Optimization
by: Sim, Hong Sen
Published: (2011) -
Self-scaling parallel Quasi-Newton methods for nonlinear unconstrained optimization /
by: Fan, Weiguo
Published: (1997) -
Diagonal quasi-newton's method for large-scale systems of nonlinear equations
by: Yusuf, Mohammed Waziri
Published: (2011) -
Implementation of Symmetric Rank-One Methods for Unconstrained Optimization
by: Khiyaban, Farzin Modarres
Published: (2010) -
Symmetric rank-one method and its modifications for unconstrained optimization
by: Moyi, Aliyu Usman
Published: (2014)