A Generalized Gradient Projection Filter Algorithm for Inequality Constrained Optimization
A generalized gradient projection filter algorithm for inequality constrained optimization is presented. It has three merits. The first is that the amount of computation is lower, since the gradient matrix only needs to be computed one time at each iterate. The second is that the paper uses the filt...
Saved in:
Main Authors: | Wei Wang, Shaoli Hua, Junjie Tang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2013-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2013/854890 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid Gradient-Projection Algorithm for Solving Constrained Convex Minimization Problems with Generalized Mixed Equilibrium Problems
by: Lu-Chuan Ceng, et al.
Published: (2012-01-01) -
Projected Adaptive Cubic Regularization Algorithm with Derivative-Free Filter Technique for Box Constrained Optimization
by: Lingyun He, et al.
Published: (2021-01-01) -
Two-Phase Generalized Reduced Gradient Method for Constrained Global Optimization
by: Abdelkrim El Mouatasim
Published: (2010-01-01) -
A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations
by: Pengjie Liu, et al.
Published: (2020-01-01) -
The Conjugate Gradient Viscosity Approximation Algorithm for Split Generalized Equilibrium and Variational Inequality Problems
by: Meixia Li, et al.
Published: (2018-01-01)