We propose an adaptive refinement algorithm to solve total variation regularized measure optimization problems. The method iteratively constructs dyadic partitions of the unit cube based on (i) the resolution of discretized dual problems and (ii) the detection of cells containing points that violate...

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Bibliographic Details
Main Authors: Flinth, Axel, de Gournay, Frédéric, Weiss, Pierre
Format: Article
Language:English
Published: Université de Montpellier 2025-03-01
Series:Open Journal of Mathematical Optimization
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Online Access:https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.39/
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