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Convergence of projection and contraction algorithms with outer perturbations and their applications to sparse signals recovery

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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… Click to show full abstract

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 converge at the rate of O(1 / t).

Keywords: projection contraction; contraction algorithms; convergence projection

Journal Title: Journal of Fixed Point Theory and Applications
Year Published: 2017

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