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

被引:1
作者
Yusuf, Aliyu [1 ,2 ,3 ]
Manjak, Nibron Haggai [2 ]
Aphane, Maggie [4 ]
机构
[1] Bayero Univ, Sch Continuing Educ, Dept Sci, PMB 3011, Kano, Nigeria
[2] Abubakar Tafawa Balewa Univ, Fac Sci, Dept Math Sci, PMB 0248, Bauchi, Nigeria
[3] Bayero Univ, Fac Phys Sci, Dept Math Sci, Numer Optimizat Res Grp, Kano 700241, Nigeria
[4] Sefako Makgatho Hlth Sci Univ, Dept Math & Appl Math, ZA-0204 Pretoria, South Africa
关键词
constrained nonlinear monotone equations; derivative-free method; global convergence; numerical experiments; signal reconstruction problems; PROJECTION METHOD; VARIATIONAL INEQUALITY; GRADIENT ALGORITHM; NEWTON METHODS; BFGS METHOD; OPTIMIZATION; SYSTEMS; CONVERGENCE; SPARSE; POINT;
D O I
10.3390/math12111649
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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.
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页数:21
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