A hybrid Bregman alternating direction method of multipliers for the linearly constrained difference-of-convex problems (Q2307744)
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| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A hybrid Bregman alternating direction method of multipliers for the linearly constrained difference-of-convex problems |
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A hybrid Bregman alternating direction method of multipliers for the linearly constrained difference-of-convex problems (English)
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25 March 2020
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The authors investigate a Bregman ADMM type method for linearly constrained optimization problems with the objective being the sum of a smooth convex function and a dc function. Subgradient and/or proximal steps are used in the numerical scheme. By imposing some geometrical conditions, like the Kurdika-Lojasieewicz property, the authors are able to show convergence to a critical point. Numerical experiments in image processing and least squares problems are considered as well.
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linearly constrained difference-of-convex problems
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Bregman distance
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alternating direction method of multipliers
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Kurdyka-Łojasiewicz function
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