A Modified Three-Term Conjugate Descent Derivative-Free Method for Constrained Nonlinear Monotone Equations and Signal Reconstruction Problems

Author:

Yusuf Aliyu123ORCID,Manjak Nibron Haggai2,Aphane Maggie4ORCID

Affiliation:

1. Department of Science, School of Continuing Education, Bayero University, BUK, Kano PMB 3011, Nigeria

2. Department of Mathematical Sciences, Faculty of Science, Abubakar Tafawa Balewa University, Bauchi PMB 0248, Nigeria

3. Numerical Optimization Research Group, Department of Mathematical Sciences, Faculty of Physical Sciences, Bayero University, Kano 700241, Nigeria

4. Department of Mathematics and Applied Mathematics, Sefako Makgatho Health Sciences University, Ga-Rankuwa, Pretoria 0204, South Africa

Abstract

Iterative methods for solving constraint nonlinear monotone equations have been developed and improved by many researchers. The aim of this research is to present a modified three-term conjugate descent (TTCD) derivative-free method for constrained nonlinear monotone equations. The proposed algorithm requires low storage memory; therefore, it has the capability to solve large-scale nonlinear equations. The algorithm generates a descent and bounded search direction dk at every iteration independent of the line search. The method is shown to be globally convergent under monotonicity and Lipschitz continuity conditions. Numerical results show that the suggested method can serve as an alternative to find the approximate solutions of nonlinear monotone equations. Furthermore, the method is promising for the reconstruction of sparse signal problems.

Funder

tertiary education trust fund (Tetfund) of Nigeria

Publisher

MDPI AG

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