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Modulus‐based matrix splitting iteration methods for a class of implicit complementarity problems
Author(s) -
Hong JunTao,
Li ChenLiang
Publication year - 2016
Publication title -
numerical linear algebra with applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.02
H-Index - 53
eISSN - 1099-1506
pISSN - 1070-5325
DOI - 10.1002/nla.2044
Subject(s) - mathematics , complementarity (molecular biology) , modulus , convergence (economics) , matrix (chemical analysis) , matrix splitting , complementarity theory , class (philosophy) , numerical analysis , mathematical optimization , mixed complementarity problem , algorithm , mathematical analysis , symmetric matrix , computer science , state transition matrix , geometry , eigenvalues and eigenvectors , nonlinear system , genetics , materials science , physics , quantum mechanics , artificial intelligence , economics , composite material , biology , economic growth
Summary Some modulus‐based matrix splitting iteration methods for a class of implicit complementarity problem are presented, and their convergence analysis is given. Numerical experiments confirm the theoretical analysis and show that the proposed methods are efficient. Copyright © 2016 John Wiley & Sons, Ltd.