IJPAM: Volume 50, No. 1 (2009)
QUASIVARIATIONAL INEQUALITIES





Dongbei University of Finance and Economics
Dalian, Liaoning, 116600, P.R. CHINA
e-mail: haiyangao@mail.china.com

Liaoning Normal University
P.O. Box 200, Dalian, Liaoning, 116029, P.R. CHINA
e-mail: xiuwan@yeah.net

RINS - Research Institute of Natural Sciences
Gyeongsang National University
Jinju, 660-701, KOREA
e-mail: smkang@nongae.gsnu.ac.kr

Gyeongsang National University
Jinju, 660-701, KOREA
e-mail: bb5734@nongae.gsnu.ac.kr
Abstract.In this paper, we introduce and study a new class of
nonlinear mixed quasivariational inequalities in Hilbert spaces.
By applying the projection technique, we prove an existence and
uniqueness theorem of solution for the nonlinear mixed
quasivariational inequality, suggest and analyze an iterative
method to compute the approximate solutions of the nonlinear mixed
quasivariational inequality and establish the convergence criteria
of the iterative method. The results presented in this paper
improve, extend and unify some known results in this area.
Received: September 10, 2008
AMS Subject Classification: 47J20, 49J40
Key Words and Phrases: nonlinear mixed quasivariational inequality, projection method, relaxed monotone mapping, strongly monotone mapping, convergence, iterative algorithm
Source: International Journal of Pure and Applied Mathematics
ISSN: 1311-8080
Year: 2009
Volume: 50
Issue: 1