32 citations · 65 across the 10 of their papers we have counts for
10 papers
Several self-adaptive inertial projection algorithms for solving split variational inclusion problems
Zheng Zhou, Bing Tan, Songxiao Li
This paper is to analyze the approximation solution of a split variational inclusion problem in the framework of infinite dimensional Hilbert spaces. For this purpose, several iner…
Empirical likelihood and uniform convergence rates for dyadic kernel density estimation
Harold D. Chiang, Bing Yang Tan
This paper studies the asymptotic properties of and alternative inference methods for kernel density estimation (KDE) for dyadic data. We first establish uniform convergence rates…
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…
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…
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…
Self adaptive inertial extragradient algorithms for solving variational inequality problems
Bing Tan, Jingjing Fan, Songxiao Li
In this paper, we study the strong convergence of two Mann-type inertial extragradient algorithms, which are devised with a new step size, for solving a variational inequality prob…