A Modified Self-Adaptive Conjugate Gradient Method for Solving Convex Constrained Monotone Nonlinear Equations for Signal Recovery Problems

A Modified Self-Adaptive Conjugate Gradient Method for Solving Convex Constrained Monotone Nonlinear Equations for Signal Recovery Problems

In this article, we propose a modified self-adaptive conjugate gradient algorithm for handling nonlinear monotone equations with the constraints being convex. Under some nice conditions, the global convergence of the method was established. Numerical examples reported show that the method is promisi...

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Bibliographic Details
Main Authors: Auwal Bala Abubakar, Poom Kumam, Aliyu Muhammed Awwal, Phatiphat Thounthong
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Mathematics
Subjects:
non-linear equations
conjugate gradient method
projection method
convex constraints
signal reconstruction problem
Online Access:https://www.mdpi.com/2227-7390/7/8/693

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