Global convergence of block Bregman proximal iteratively reweighted algorithm with extrapolation

Jie Zhang () and Xinmin Yang ()
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Jie Zhang: Chongqing University of Posts and Telecommunications
Xinmin Yang: Chongqing Normal University

Journal of Global Optimization, 2025, vol. 92, issue 2, No 6, 410 pages

Abstract: Abstract In this paper, we propose a Bregman proximal iteratively reweighted algorithm with extrapolation based on block coordinate update aimed at solving a class of optimization problems which is the sum of a smooth possibly nonconvex loss function and a general nonconvex regularizer with a separable structure. The proposed algorithm can be used to solve the $$\ell _p(0

Keywords: Iteratively reweighted algorithm; Bregman distance; Block coordinate update; Extrapolation; Kurdyka–Łojasiewicz property (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10898-024-01451-8

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