On Self-Adaptive Method for General Mixed Variational Inequalities
Author(s) -
Abdellah Bnouhachem,
Muhammad Aslam Noor,
Eman Al-Shemas
Publication year - 2008
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2008/280956
Subject(s) - variational inequality , complementarity (molecular biology) , mixed complementarity problem , convergence (economics) , complementarity theory , mathematics , inequality , mathematical optimization , nonlinear system , mathematical analysis , economics , physics , genetics , quantum mechanics , biology , economic growth
We suggest and analyze a new self-adaptive method for solving general mixed variational inequalities, which can be viewed as an improvement of the method of (Noor 2003). Global convergence of the new method is proved under the same assumptions as Noor's method. Some preliminary computational results are given to illustrate the efficiency of the proposed method. Since the general mixed variational inequalities include general variational inequalities, quasivariational inequalities, and nonlinear (implicit) complementarity problems as special cases, results proved in this paper continue to hold for these problems
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