An inexact Newton-like conditional gradient method for constrained nonlinear systems

被引：11

作者：

Goncalves, M. L. N. ^{[1
]}

Oliveira, F. R. ^{[1
]}

机构：

[1] Univ Fed Goias, Inst Matemat & Estat, Campus 2,Caixa Postal 131, BR-74001970 Goiania, Go, Brazil

来源：

APPLIED NUMERICAL MATHEMATICS | 2018年 / 132卷

关键词：

Constrained nonlinear systems; Inexact Newton-like method; Conditional gradient method; Local convergence; INJECTIVE-OVERDETERMINED SYSTEMS; CONVERGENCE BEHAVIOR; MAJORANT CONDITION; SIMPLE BOUNDS; EQUATIONS; ALGORITHM; OPTIMIZATION;

D O I：

10.1016/j.apnum.2018.05.006

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we propose an inexact Newton-like conditional gradient method for solving constrained systems of nonlinear equations. The local convergence of the new method as well as results on its rate are established by using a general majorant condition. Two applications of such condition are provided: one is for functions whose derivatives satisfy a Holder-like condition and the other is for functions that satisfy a Smale condition, which includes a substantial class of analytic functions. Some preliminary numerical experiments illustrating the applicability of the proposed method are also presented. (C) 2018 IMACS. Published by Elsevier B.V. All rights reserved.

引用

页码：22 / 34

页数：13

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