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Convex optimization has become ubiquitous in most quantitative disciplines of science, including variational image processing.
Splitting algorithms for the sum of two nonlinear operators
P. L. Lions and B. Mercier · 1979
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A proximal decomposition method for solving convex variational inverse problems
P. L. Combettes and J.-C. Pesquet · 2008
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Geometrical interpretation of the predictor-corrector type algorithms in structured optimization problems
A. Daniilidis, W. Hare, and J. Malick · 2009
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Local linear convergence for alternating and averaged nonconvex projections
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