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New inexact implicit method for general mixed quasi variational inequalities
Authors:Abdellah Bnouhachem  Muhammad Aslam Noor
Affiliation:(1) School of Management Science and Engineering, Nanjing University, Nanjing, 210093, People’s Republic of China;(2) Ibn Zohr University, Presidence, BP 32/5, Agadir, Morocco;(3) Mathematics Department, COMSATS Institute of Information Technology, Islamabad, Pakistan
Abstract:In this paper, we suggest and analyze a new self-adaptive inexact implicit method with a variable parameter for general mixed quasi variational inequalities, where the skew-symmetry of the nonlinear bifunction plays a crucial part in the convergence analysis of this method. We use a self-adaptive technique to adjust parameter ρ at each iteration. The global convergence of the proposed method is proved under some mild conditions. Preliminary numerical results indicate that the self-adaptive adjustment rule is necessary in practice. Muhammad Aslam Noor is supported by the Higher Education Commission, Pakistan, through research grant No: 1-28/HEC/HRD/2005/90.
Keywords:General mixed quasi variational inequalities  Implicit methods  Resolvent operator  Inexact methods  Self-adaptive rules
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