JOURNAL ARTICLE

A two-step iteration method for solving vertical nonlinear complementarity problems

Wenxiu GuoXiaoping LuHua Zheng

Year: 2024 Journal:   AIMS Mathematics Vol: 9 (6)Pages: 14358-14375   Publisher: American Institute of Mathematical Sciences

Abstract

<abstract><p>In this paper, for vertical nonlinear complementarity problems, a two-step modulus-based matrix splitting iteration method is established by applying the two-step splitting technique to the modulus-based matrix splitting iteration method. The convergence theorems of the proposed method are given when the number of system matrices is larger than 2. Numerical results show that the convergence rate of the proposed method can be accelerated compared to the existing modulus-based matrix splitting iteration method.</p></abstract>

Keywords:
Nonlinear complementarity problem Complementarity (molecular biology) Mixed complementarity problem Nonlinear system Mathematical optimization Mathematics Applied mathematics Complementarity theory Computer science Physics

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Citation History

Topics

Advanced Optimization Algorithms Research
Physical Sciences →  Mathematics →  Numerical Analysis
Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Optimization and Variational Analysis
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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