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Feb 10, 2016 · We give conditions under which the sequence generated by the resulting Block Coordinate Variable Metric Forward–Backward algorithm converges to ...
Feb 13, 2014 · We give conditions under which the sequence generated by the resulting Block Coordinate Variable Metric Forward-Backward algorithm converges to ...
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Oct 22, 2024 · Forward-backward methods are a very useful tool for the minimization of a functional given by the sum of a differentiable term and a ...
We give conditions under which the sequence generated by the resulting Block Coordinate Variable Metric Forward---Backward algorithm converges to a critical ...
We give conditions under which the sequence generated by the resulting Block Coordinate Variable Metric Forward–Backward algorithm converges to a critical point ...
In this work, we consider the minimization of an objective function satisfying this property, which is a sum of a non necessarily convex differentiable function ...
Feb 10, 2016 · We give conditions under which the sequence generated by the resulting Block Coordinate. Variable Metric Forward–Backward algorithm converges to ...
We give conditions under which the sequence generated by the resulting Block Coordinate Variable Metric Forward-Backward algorithm converges to a critical point ...
Jun 18, 2019 · We study the block-coordinate forward-backward algorithm in which the blocks are updated in a random and possibly parallel manner, according to ...
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We present a forward-backward-based algorithm to minimize a sum of a differentiable func- tion and a nonsmooth function, both being possibly nonconvex.