A class of parallel nonlinear multisplitting relaxation methods for the large sparse nonlinear complementarity problems

Zhong‐Zhi Bai; Deren Wang

doi:10.1016/0898-1221(96)00169-1

ScienceGate Book Chapters

JOURNAL ARTICLE

A class of parallel nonlinear multisplitting relaxation methods for the large sparse nonlinear complementarity problems

Zhong‐Zhi Bai Deren Wang

Year: 1996 Journal: Computers & Mathematics with Applications Vol: 32 (8)Pages: 79-95 Publisher: Elsevier BV

DOI: 10.1016/0898-1221(96)00169-1

Get Full-Text PDF Get Analytical Report

Keywords:

Mathematics Nonlinear system Nonlinear complementarity problem Complementarity (molecular biology) Class (philosophy) Mixed complementarity problem Applied mathematics Relaxation (psychology) Complementarity theory Mathematical analysis Calculus (dental) Mathematical optimization Computer science Artificial intelligence Physics

Metrics

Cited By

0.97

FWCI (Field Weighted Citation Impact)

Refs

0.72

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Matrix Theory and Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Advanced Optimization Algorithms Research

Physical Sciences → Mathematics → Numerical Analysis

Differential Equations and Numerical Methods

Physical Sciences → Mathematics → Numerical Analysis

A class of parallel nonlinear multisplitting relaxation methods for the large sparse nonlinear complementarity problems

Metrics

Citation History

Topics

Related Documents

Asynchronous parallel nonlinear multisplitting relaxation methods for large sparse nonlinear complementarity problems

Parallel nonlinear multisplitting relaxation methods

A CLASS OF ASYNCHRONOUS PARALLEL NONLINEAR MULTISPLITTING RELAXATION METHODS

A CLASS OF MULTI-PARAMETER RELAXED PARALLEL MULTISPLITTING METHODS FOR LARGE SPARSE LINEAR COMPLEMENTARITY PROBLEMS

The monotone convergence of a class of parallel nonlinear relaxation methods for nonlinear complementarity problems