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Publications Influence

A General Inertial Viscosity Type Method for Nonexpansive Mappings and Its Applications in Signal Processing

- Yinglin Luo, M. Shang, Bing Tan
- Mathematics
- 20 February 2020

In this paper, we propose viscosity algorithms with two different inertia parameters for solving fixed points of nonexpansive and strictly pseudocontractive mappings. Strong convergence theorems are… Expand

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Strong convergence of modified inertial Mann algorithms for nonexpansive mappings.

In this paper, we introduce two new modified inertial Mann Halpern and viscosity algorithms for solving fixed point problems. We establish strong convergence theorems under some suitable conditions.… Expand

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An inertial shrinking projection algorithm for split common fixed point problems

- Zheng Zhou, Bing Tan, S. Li
- Computer Science, Mathematics
- 9 April 2020

TLDR

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Self-adaptive inertial extragradient algorithms for solving variational inequality problems

- Bing Tan, Jingjing Fan, S. Li
- Mathematics
- 7 June 2020

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 problem with a monotone… Expand

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Inertial extragradient algorithms for solving variational inequalities and fixed point problems

- Bing Tan, Jingjing Fan, X. Qin
- Computer Science, Mathematics
- 30 June 2020

TLDR

UNAUTHORIZED IMMIGRANTS' ACCESS TO DRIVER'S LICENSES AND AUTO INSURANCE COVERAGE

- B. Churchill, Taylor Mackay, Bing Tan
- Business
- 2021

Fourteen states and the District of Columbia allow unauthorized immigrants to obtain driver's licenses. Using variation in the timing and location of these policy changes, we show these Unauthorized… Expand

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

TLDR

Empirical likelihood and uniform convergence rates for dyadic kernel density estimation.

- H. D. Chiang, Bing Tan
- Mathematics, Economics
- 17 October 2020

This paper studies the asymptotic properties of and improved inference methods for kernel density estimation (KDE) for dyadic data. We first establish novel uniform convergence rates for dyadic KDE… Expand

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

- Bing Tan, Zheng Zhou, X. Qin
- Computer Science, Mathematics
- 9 April 2020

TLDR

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An explicit extragradient algorithm for equilibrium problems on Hadamard manifolds

- Jingjing Fan, Bing Tan, S. Li
- Mathematics
- 21 May 2020

In this paper, we investigate a new extragradient algorithm for solving pseudomonotone equilibrium problems on Hadamard manifolds. The algorithm uses a variable stepsize which is updated at each… Expand