Resolvent Algorithms for Mixed Quasivariational Inequalities

被引:0
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作者
M. A. Noor
机构
[1] Etisalat College of Engineering,
关键词
Mixed quasivariational inequalities; fixed points; resolvent equations; iterative methods; convergence analysis;
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摘要
It is well known that mixed quasivariational inequalities are equivalent to implicit resolvent equations. We use this alternative equivalent formulation to suggest and analyze a new modified resolvent method for solving mixed quasivariational inequalities and related problems. We show that the convergence of this modified method requires only pseudomonotonicity, which is a weaker condition than monotonicity. Since mixed quasivariational inequalities include various classes of variational inequalities as special cases, our result continues to hold for these problems.
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页码:137 / 149
页数:12
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