Descent Perry conjugate gradient methods for systems of monotone nonlinear equations

被引:34
作者
Waziri, Mohammed Yusuf [1 ]
Hungu, Kabiru Ahmed [1 ]
Sabi'u, Jamilu [2 ]
机构
[1] Bayero Univ, Fac Sci, Dept Math Sci, Kano, Nigeria
[2] Northwest Univ, Fac Sci, Dept Math, Kano, Nigeria
关键词
Nonlinear equations; Eigenvalue analysis; Hyperplane projection; Monotonicity property; Global convergence; SCALE UNCONSTRAINED OPTIMIZATION; QUASI-NEWTON METHODS; CONVERGENCE PROPERTIES; GLOBAL CONVERGENCE; OPTIMAL PARAMETER; ALGORITHM; FAMILY; PERFORMANCE;
D O I
10.1007/s11075-019-00836-1
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we present a family of Perry conjugate gradient methods for solving large-scale systems of monotone nonlinear equations. The methods are developed by combining modified versions of Perry (Oper. Res. Tech. Notes 26(6), 1073-1078, 1978) conjugate gradient method with the hyperplane projection technique of Solodov and Svaiter (1998). Global convergence and numerical results of the methods are established and preliminary numerical results shows that the proposed methods are promising and more effective compared to some existing methods in the literature.
引用
收藏
页码:763 / 785
页数:23
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