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Strong convergence of a proximal point algorithm with general errors
Journal article   Peer reviewed

Strong convergence of a proximal point algorithm with general errors

Yonghong Yao, Naseer Shahzad and Nadia Shahzad
Optimization letters, Vol.6(4), pp.621-628
01/04/2012
DOI: https://doi.org/10.1007/s11590-011-0286-2

Abstract

Mathematics Mathematics, Applied Operations Research & Management Science Physical Sciences Science & Technology Technology
In this paper we construct a proximal point algorithm for maximal monotone operators with appropriate regularization parameters. We obtain the strong convergence of the proposed algorithm, which affirmatively answer the open question put forth by Boikanyo and Morosanu (Optim Lett 4:635-641, 2010).

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