A Globally Convergent Matrix-Free Method for Constrained Equations and Its Linear Convergence Rate
A matrix-free method for constrained equations is proposed, which is a combination of the well-known PRP (Polak-Ribière-Polyak) conjugate gradient method and the famous hyperplane projection method. The new method is not only derivative-free, but also completely matrix-free, and consequently, it can...
Saved in:
Main Authors: | Min Sun, Jing Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2014/386030 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Global Convergence of a New Nonmonotone Filter Method for Equality Constrained Optimization
by: Ke Su, et al.
Published: (2013-01-01) -
Accelerating the convergence of Newton's method for the Yang-Baxter like matrix equation
by: Chacha Stephen Chacha
Published: (2025-02-01) -
A Family of Derivative-Free Methods with High Order of Convergence and Its Application to Nonsmooth Equations
by: Alicia Cordero, et al.
Published: (2012-01-01) -
A Globally Convergent Hybrid Conjugate Gradient Method and Its Numerical Behaviors
by: Yuan-Yuan Huang, et al.
Published: (2013-01-01) -
Convergence of Relaxed Matrix Parallel Multisplitting Chaotic Methods for H-Matrices
by: Li-Tao Zhang, et al.
Published: (2014-01-01)