JOURNAL ARTICLE

Generalized strongly set‐valued nonlinear complementarity problems

Nan‐jing HuangYeol Je Cho

Year: 1999 Journal:   International Journal of Mathematics and Mathematical Sciences Vol: 22 (3)Pages: 597-604   Publisher: Hindawi Publishing Corporation

Abstract

In this paper, we introduce a new class of generalized strongly set‐valued nonlinear complementarity problems and construct new iterative algorithms. We show the existence of solutions for this kind of nonlinear complementarity problems and the convergence of iterative sequences generated by the algorithm. Our results extend some recent results in this field.

Keywords:
Mathematics Nonlinear complementarity problem Complementarity (molecular biology) Mixed complementarity problem Nonlinear system Applied mathematics Complementarity theory Convergence (economics) Iterative method Mathematical optimization Set (abstract data type) Computer science

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2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
18
Refs
0.16
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Optimization and Variational Analysis
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Advanced Optimization Algorithms Research
Physical Sciences →  Mathematics →  Numerical Analysis
Fixed Point Theorems Analysis
Physical Sciences →  Mathematics →  Geometry and Topology

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