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Computing the resolvent of composite operators

Authors: Abdellatif Moudafi;

Computing the resolvent of composite operators

Abstract

Summary: Based in a very recent paper by \textit{C. A. Micchelli} et al. [Adv. Comput. Math. 38, No. 2, 401--426 (2013; Zbl 1275.65014)], we present an algorithmic approach for computing the resolvent of composite operators: the composition of a monotone operator and a continuous linear mapping. The proposed algorithm can be used, for example, for solving problems arising in image processing and traffic equilibrium. Furthermore, our algorithm gives an alternative to Dykstra-like method for evaluating the resolvent of the sum of two maximal monotone operators.

Keywords

Numerical optimization and variational techniques, Convex programming, Numerical methods based on nonlinear programming, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], [MATH] Mathematics [math], KM-algorithm, Yosida regularization, Douglas-Rachford algorithm, Iterative procedures involving nonlinear operators, maximal monotone operators, Dykstra-like method, Set-valued and variational analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average
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gold