
arXiv: 1711.01936
In this paper we study the bounded perturbation resilience of projection and contraction algorithms for solving variational inequality (VI) problems in real Hilbert spaces. Under typical and standard assumptions of monotonicity and Lipschitz continuity of the VI's associated mapping, convergence of the perturbed projection and contraction algorithms is proved. Based on the bounded perturbed resilience of projection and contraction algorithms, we present some inertial projection and contraction algorithms. In addition we show that the perturbed algorithms converges at the rate of $O(1/t)$.
This paper is accepted for publication in Journal of Fixed Point Theory and Applications. arXiv admin note: text overlap with arXiv:1711.01937, and text overlap with arXiv:1507.07302 by other authors
bounded perturbation resilience, Methods involving semicontinuity and convergence; relaxation, projection and contraction algorithms, Optimization and Control (math.OC), inertial-type method, FOS: Mathematics, Variational inequalities (global problems) in infinite-dimensional spaces, variational inequality, Variational inequalities, Minimax problems in mathematical programming, Mathematics - Optimization and Control, Numerical methods for variational inequalities and related problems
bounded perturbation resilience, Methods involving semicontinuity and convergence; relaxation, projection and contraction algorithms, Optimization and Control (math.OC), inertial-type method, FOS: Mathematics, Variational inequalities (global problems) in infinite-dimensional spaces, variational inequality, Variational inequalities, Minimax problems in mathematical programming, Mathematics - Optimization and Control, Numerical methods for variational inequalities and related problems
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