2 papers
math.OC2025
A Triple-Bregman Balanced Primal-Dual Algorithm for Saddle Point Problems
Jintao Yu, Hongjin He
The primal-dual hybrid gradient (PDHG) method is one of the most popular algorithms for solving saddle point problems. However, when applying the PDHG method and its many variants…
math.OC2025
A symmetric primal-dual algorithmic framework for saddle point problems
Hongjin He, Kai Wang, Jintao Yu
In this paper, we propose a new primal-dual algorithmic framework for a class of convex-concave saddle point problems frequently arising from image processing and machine learning.…