activity
20162019
most citedNonconvex fraction function recovery sparse signal by convex optimization algorithm

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing 2016Show all

5 papers · 1 filter

math.OC2016

An inertial primal-dual fixed point algorithm for composite optimization problems

Meng Wen, Yu-Chao Tang, Jigen Peng

We consider an inertial primal-dual fixed point algorithm (IPDFP) to compute the minimizations of the following Problem (1.1). This is a full splitting approach, in the sense that…

math.OC2016

Efficient primal-dual fixed point algorithm with dynamic stepsize for convex problems with applications to imaging restoration

Meng Wen, Shigang Yue, Yuchao Tang +1

We consider the problem of finding the minimization of the sum of a convex function and the composition of another convex function with a continuous linear operator from the view o…

math.OC2016

A stochastic coordinate descent inertial primal-dual algorithm for large-scale composite optimization

Meng Wen, Yu-Chao Tang, Jigen Peng

We consider an inertial primal-dual algorithm to compute the minimizations of the sum of two convex functions and the composition of another convex function with a continuous linea…

math.OC2016

A stochastic coordinate descent splitting primal-dual fixed point algorithm and applications to large-scale composite optimization

Meng Wen, Yu-Chao Tang, Jigen Peng

We consider the problem of finding the minimizations of the sum of two convex functions and the composition of another convex function with a continuous linear operator from the vi…

math.OC2016

A stochastic coordinate descent primal-dual algorithm with dynamic stepsize for large-scale composite optimization

Meng Wen, Shigang Yue, Yuchao Tang +1

In this paper we consider the problem of finding the minimizations of the sum of two convex functions and the composition of another convex function with a continuous linear operat…