7 citations · 9 across the 7 of their papers we have counts for
3 papers · 1 filter
A proximal splitting algorithm for generalized DC programming with applications in signal recovery
Tan Nhat Pham, Minh N. Dao, Nima Amjady +1
The difference-of-convex (DC) program is an important model in nonconvex optimization due to its structure, which encompasses a wide range of practical applications. In this paper,…
Doubly relaxed forward-Douglas--Rachford splitting for the sum of two nonconvex and a DC function
Minh N. Dao, Tan Nhat Pham, Phan Thanh Tung
In this paper, we consider a class of structured nonconvex nonsmooth optimization problems whose objective function is the sum of three nonconvex functions, one of which is express…
Bregman Proximal Linearized ADMM for Minimizing Separable Sums Coupled by a Difference of Functions
Tan Nhat Pham, Minh N. Dao, Andrew Eberhard +1
In this paper, we develop a splitting algorithm incorporating Bregman distances to solve a broad class of linearly constrained composite optimization problems, whose objective func…