Yong Wang

Orcid: 0000-0001-8245-7650

Affiliations:
  • Tianjin University, Tianjin, China


According to our database1, Yong Wang authored at least 15 papers between 2016 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Improved Gauss-Seidel type and Jacobi type methods for linear complementarity problems.
Comput. Optim. Appl., November, 2025

Projected Jacobi Method for Vertical Tensor Complementarity Problems.
J. Optim. Theory Appl., August, 2025

2024
Projected fixed-point method for vertical tensor complementarity problems.
Comput. Optim. Appl., September, 2024

An Iterative Method for Horizontal Tensor Complementarity Problems.
J. Optim. Theory Appl., August, 2024

A linearized method for solving tensor complementarity problems with implicit Z-tensors.
Optim. Lett., June, 2024

Generalized Multilinear Games and Vertical Tensor Complementarity Problems.
J. Optim. Theory Appl., February, 2024

2023
Existence of the least element solution of the vertical block Z-tensor complementarity problem.
Optim. Lett., September, 2023

A DCA-Newton method for quartic minimization over the sphere.
Adv. Comput. Math., August, 2023

A fixed point iterative method for tensor complementarity problems with the implicit Z-tensors.
J. Glob. Optim., June, 2023

2021
T-positive semidefiniteness of third-order symmetric tensors and T-semidefinite programming.
Comput. Optim. Appl., 2021

2019
The sparsest solution of the union of finite polytopes via its nonconvex relaxation.
Math. Methods Oper. Res., 2019

2018
Global Uniqueness and Solvability of Tensor Variational Inequalities.
J. Optim. Theory Appl., 2018

2017
A theoretical perspective of solving phaseless compressive sensing via its nonconvex relaxation.
Inf. Sci., 2017

2016
Exceptionally regular tensors and tensor complementarity problems.
Optim. Methods Softw., 2016

Global Uniqueness and Solvability for Tensor Complementarity Problems.
J. Optim. Theory Appl., 2016


  Loading...