activity
20072023
most citedInertial extragradient algorithms for solving variational inequalities and fixed point problems

7 citations · 14 across the 8 of their papers we have counts for

collaborators

8 papers

math.OC2023

On new generalized differentials with respect to a set and their applications

Xiaolong Qin, Vo Duc Thinh, Jen-Chih Yao

The notions and certain fundamental characteristics of the proximal and limiting normal cones with respect to a set are first presented in this paper. We present the ideas of the l…

math.OC2020

Strong convergence of an inertial Tseng's extragradient algorithm for pseudomonotone variational inequalities with applications to optimal control problems

Bing Tan, Xiaolong Qin

We investigate an inertial viscosity-type Tseng's extragradient algorithm with a new step size to solve pseudomonotone variational inequality problems in real Hilbert spaces. A str…

math.OC2020★ 2 cited

Strong convergence of inertial extragradient algorithms for solving variational inequalities and fixed point problems

Bing Tan, Liya Liu, Xiaolong Qin

The paper investigates two inertial extragradient algorithms for seeking a common solution to a variational inequality problem involving a monotone and Lipschitz continuous mapping…

math.OC2020★ 7 cited

Inertial extragradient algorithms for solving variational inequalities and fixed point problems

Bing Tan, Jingjing Fan, Xiaolong Qin

The objective of this research is to explore a convex feasibility problem, which consists of a monotone variational inequality problem and a fixed point problem. We introduce four…

math.OC2020★ 3 cited

Accelerated projection-based forward-backward splitting algorithms for monotone inclusion problems

Bing Tan, Zheng Zhou, Xiaolong Qin

In this paper, based on inertial and Tseng's ideas, we propose two projection-based algorithms to solve a monotone inclusion problem in infinite dimensional Hilbert spaces. Solutio…

cs.LG2020

Reinforcement Learning with Goal-Distance Gradient

Kai Jiang, XiaoLong Qin

Reinforcement learning usually uses the feedback rewards of environmental to train agents. But the rewards in the actual environment are sparse, and even some environments will not…

math.OC2018★ 2 cited

Smoothing Algorithms for Computing the Projection onto a Minkowski Sum of Convex Sets

Xiaolong Qin, Nguyen Thai An

In this paper, the problem of computing the projection, and therefore the minimum distance, from a point onto a Minkowski sum of general convex sets is studied. Our approach is bas…

math.FA2007

Strong convergence of modified Ishikawa iterations for nonlinear mappings

Yongfu Su, Xiaolong Qin

In this paper, we prove a strong convergence theorem of modified Ishikawa iterations for relatively asymptotically nonexpansive mappings in Banach space. Our results extend and imp…