A FAMILY OF CONJUGATE GRADIENT PROJECTION METHOD FOR NONLINEAR MONOTONE EQUATIONS WITH APPLICATIONS TO COMPRESSIVE SENSING
Keywords:
Non-linear equations, Monotone equation, Projection method, Compressive sensingAbstract
In this work, we propose a family of conjugate gradient projection method for nonlinear monotone equations with convex constraints. Under some appropriate assumptions, the global convergence of the method is established. Numerical examples reported shows that the method is competitive and efficient for solving monotone nonlinear equations. Furthermore, we apply the proposed algorithm to solve the sparse signal reconstruction problem in compressive sensing.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Bangmod International Journal of Mathematical and Computational Science
![Creative Commons License](http://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.