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General Strongly Nonlinear Quasivariational Inequalities with Relaxed Lipschitz and Relaxed Monotone Mappings

Z. Liu, J.S. Ume and S.M. Kang
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Z. Liu: Liaoning Normal University
J.S. Ume: Changwon National University
S.M. Kang: Gyeongsang National University

Journal of Optimization Theory and Applications, 2002, vol. 114, issue 3, No 7, 639-656

Abstract: Abstract In this paper, we introduce and study a new class of general strongly nonlinear quasivariational inequalities and construct a general iterative algorithm by using the projection method. We establish the existence of a unique solution for general strongly nonlinear quasivariational inequalities involving relaxed Lipschitz, relaxed monotone, and strongly monotone mappings; we obtain the convergence and stability of the iterative sequences generated by the algorithm. Our results extend, improve, and unify many known results due to Bose, Noor, Siddiqi-Ansari, Verma, Yao, Zeng, and others.

Keywords: general strongly nonlinear quasivariational inequalities; projection methods; relaxed Lipschitz mappings; relaxed monotone mappings; strongly monotone mappings; Noor iterative scheme with errors; stability (search for similar items in EconPapers)
Date: 2002
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DOI: 10.1023/A:1016079130417

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