Volume 4,
Issue 2, 2003
Article
38
PREDICTOR-CORRECTOR METHODS FOR GENERALIZED GENERAL
MULTIVALUED MIXED QUASI VARIATIONAL INEQUALITIES
CHAO FENG
SHI, SAN YANG LIU AND LIAN JUN LI
DEPARTMENT OF APPLIED MATHEMATICS,
XIDIAN UNIVERSITY,
XI'AN, 710071, P.R. CHINA
E-Mail: Shichf@163.com
Received 04 April, 2003; Accepted 01 May, 2003.
Communicated by: S.S. Dragomir
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ABSTRACT.
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 skew-symmetric, 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.
Key words:
Variational inequalities, Auxiliary principle, Predictor-corrector method, Convergence.
2000 Mathematics Subject
Classification:
11N05, 11N37.
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