Predictor-corrector Methods for Generalized General Multivalued Mixed Quasi Variational Inequalities

نویسندگان

  • CHAO FENG SHI
  • YANG LIU
  • JUN LI LIAN
  • CHAO FENG
چکیده

In this paper, a class of generalized general mixed quasi variational inequalities is introduced and studied. We prove the existence of the solution of the auxiliary problem for the generalized general mixed quasi variational inequalities, suggest a predictor-corrector method for solving the generalized general mixed quasi variational inequalities by using the auxiliary principle technique. If the bi-function involving the mixed quasi variational inequalities is skewsymmetric, then it is shown that the convergence of the new method requires the partially relaxed strong monotonicity property of the operator, which is a weak condition than cocoercivity. Our results can be viewed as an important extension of the previously known results for variational inequalities.

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تاریخ انتشار 2003