Abstract
In this paper, we are concerned with solving monotone inclusion problems expressed by the sum of a set-valued maximally monotone operator with a single-valued maximally monotone one and the normal cone to the nonempty set of zeros of another set-valued maximally monotone operator. Depending on the nature of the single-valued operator, we propose two iterative penalty schemes, both addressing the set-valued operators via backward steps. The single-valued operator is evaluated via a single forward step if it is cocoercive, and via two forward steps if it is monotone and Lipschitz continuous. The latter situation represents the starting point for dealing with complexly structured monotone inclusion problems from algorithmic point of view.
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The authors thank the anonymous referees for several improvements in the paper.
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The research of R.I. Boţ was partially supported by the German Research Foundation (DFG), Project BO 2516/4-1.
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Banert, S., Boţ, R.I. Backward Penalty Schemes for Monotone Inclusion Problems. J Optim Theory Appl 166, 930–948 (2015). https://doi.org/10.1007/s10957-014-0700-x
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DOI: https://doi.org/10.1007/s10957-014-0700-x
Keywords
- Backward penalty algorithm
- Monotone inclusion
- Maximally monotone operator
- Fitzpatrick function
- Convex subdifferential