Resolvent algorithms for mixed quasivariational inequalities

被引:4
|
作者
Noor, MA [1 ]
机构
[1] Etisalat Coll Engn, Sharjah, U Arab Emirates
关键词
mixed quasivariational inequalities; fixed points; resolvent equations; iterative methods; convergence analysis;
D O I
10.1023/B:JOTA.0000005045.32773.37
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
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.
引用
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页码:137 / 149
页数:13
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