Theoretical Aspect of Diagonal Bregman Proximal Methods

S. Kabbadj

Journal of Applied Mathematics, 2020, vol. 2020, 1-9

Abstract:

In this paper, we propose and study a diagonal inexact version of Bregman proximal methods, to solve convex optimization problems with and without constraints. The proposed method forms a unified framework for existing algorithms by providing others.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljam:3108056

DOI: 10.1155/2020/3108056

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