2022
DOI: 10.1007/s10898-022-01176-6
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Two-step inertial Bregman alternating minimization algorithm for nonconvex and nonsmooth problems

Abstract: In this paper, we study an algorithm for solving a class of nonconvex and nonsmooth nonseparable optimization problems. Based on proximal alternating linearized minimization (PALM), we propose a new iterative algorithm which combines two-step inertial extrapolation and Bregman distance. By constructing appropriate benefit function, with the help of Kurdyka-Lojasiewicz property we establish the convergence of the whole sequence generated by proposed algorithm. We apply the algorithm to sparse nonnegative matrix… Show more

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Cited by 6 publications
(2 citation statements)
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“…Furthermore, Wang et al (Wang et al 2022) investigated a Bregman and inertial extension of the forward-reflectedbackward algorithm (Malitsky and Tam 2020) under relative smoothness conditions. Numerous other works have explored the Bregman gradient method framework to tackle the absence of global Lipschitz continuous gradients, including (Reem, Reich, and Pierro 2019;Zhao et al 2022;Zhu et al 2021;Dragomir et al 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, Wang et al (Wang et al 2022) investigated a Bregman and inertial extension of the forward-reflectedbackward algorithm (Malitsky and Tam 2020) under relative smoothness conditions. Numerous other works have explored the Bregman gradient method framework to tackle the absence of global Lipschitz continuous gradients, including (Reem, Reich, and Pierro 2019;Zhao et al 2022;Zhu et al 2021;Dragomir et al 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, Wang et al (Wang et al 2022) investigated a Bregman and inertial extension of the forward-reflectedbackward algorithm (Malitsky and Tam 2020) under relative smoothness conditions. Numerous other works have explored the Bregman gradient method framework to tackle the absence of global Lipschitz continuous gradients, including (Reem, Reich, and Pierro 2019;Zhao et al 2022;Zhu et al 2021;Dragomir et al 2022).…”
Section: Introductionmentioning
confidence: 99%