A note on alternating minimization algorithms: Bregman frame
Tao Sun, Lizhi Cheng

TL;DR
This paper introduces a unified Bregman frame for classical alternating minimization algorithms, providing a common mathematical formulation and convergence analysis, including stronger results under the Kurdyka-Lojasiewicz property.
Contribution
It proposes a Bregman frame that unifies various alternating minimization algorithms and offers convergence analysis, including under the Kurdyka-Lojasiewicz property.
Findings
Unified mathematical formulation for classical algorithms
Convergence analysis of the Bregman frame
Stronger convergence results under Kurdyka-Lojasiewicz property
Abstract
In this paper, we propose a Bregman frame for several classical alternating minimization algorithms. In the frame, these algorithms have uniform mathematical formulation. We also present convergence analysis for the frame algorithm. Under the Kurdyka-Lojasiewicz property, stronger convergence is obtained.
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Taxonomy
TopicsSparse and Compressive Sensing Techniques · Numerical methods in inverse problems · Optimization and Variational Analysis
