A Convex Combination between Two Different Search Directions of Conjugate Gradient Method and Application in Image Restoration
The conjugate gradient is a useful tool in solving large- and small-scale unconstrained optimization problems. In addition, the conjugate gradient method can be applied in many fields, such as engineering, medical research, and computer science. In this paper, a convex combination of two different s...
Main Authors: | Ahmad Alhawarat, Zabidin Salleh, Ibtisam A. Masmali |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/9941757 |
Similar Items
-
A decent three term conjugate gradient method with global convergence properties for large scale unconstrained optimization problems
by: Ibtisam A. Masmali, et al.
Published: (2021-07-01) -
Modification of Nonlinear Conjugate Gradient Method with Weak Wolfe-Powell Line Search
by: Ahmad Alhawarat, et al.
Published: (2017-01-01) -
A Modified Liu and Storey Conjugate Gradient Method for Large Scale Unconstrained Optimization Problems
by: Zabidin Salleh, et al.
Published: (2021-07-01) -
A Descent Four-Term Conjugate Gradient Method with Global Convergence Properties for Large-Scale Unconstrained Optimisation Problems
by: Ahmad Alhawarat, et al.
Published: (2021-01-01) -
An efficient modification of the Hestenes-Stiefel nonlinear conjugate gradient method with restart property
by: Zabidin Salleh, et al.
Published: (2016-04-01)