Bregman proximal gradient method for linear optimization under entropic constraints
Date Issued
2026-05
Author(s) USM
DOI
10.1007/s10957-026-03017-y
Abstract
In this paper, we present an efficient algorithm for solving a linear optimization problem with entropic constraints, a class of problems that arises in game theory and information theory. Our analysis distinguishes between the cases of active and inactiv
