Sensitivity analysis in variational inequalities
Mathematics of Operations Research
Journal of Optimization Theory and Applications
Inequalities in Banach spaces with applications
Nonlinear Analysis: Theory, Methods & Applications
On parametric generalized quasi-variational inequalities
Journal of Optimization Theory and Applications
Perturbed proximal point algorithms for general quasi-variational-like inclusions
Journal of Computational and Applied Mathematics - Fixed point theory with applications in nonlinear analysis
Iterative Schemes for Multivalued Quasi Variational Inclusions
Journal of Global Optimization
Journal of Optimization Theory and Applications
A new class of completely generalized quasi-variational inclusions in Banach spaces
Journal of Computational and Applied Mathematics
Computers & Mathematics with Applications
Characterization of H-monotone operators with applications to variational inclusions
Computers & Mathematics with Applications
Existence and algorithm of solutions for mixed quasi-variational-like inclusions in Banach spaces
Computers & Mathematics with Applications
Iterative algorithm for a system of nonlinear variational-like inclusions
Computers & Mathematics with Applications
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Relatively monotone variational inequalities over product sets
Operations Research Letters
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In this paper, we consider a system of general variational inclusions (SGVI) in q-uniformally smooth Banach spaces. Using proximal-point mapping technique, we prove the existence and uniqueness of solution and suggest a Mann type perturbed iterative algorithm for SVLI. We also discuss the convergence criteria and stability of Mann type perturbed iterative algorithm. Further, we consider a system of parametric general variational inclusions (SPGVI) corresponding to SGVI and discuss the continuity of the solution. Finally we consider a system of generalized variational inequality problems (SGVIP) in Hilbert spaces. We prove an existence theorem for auxiliary problems of SGVIP. By exploiting this theorem, an algorithm for the SGVIP is constructed. Further, we prove the existence of a unique solution of SGVIP and discuss the convergence analysis of the algorithm. The techniques and results presented here improve the corresponding techniques and results for the variational inequalities and inclusions in the literature.