| Academic Programs |
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Scientific research |
Wanyu Wang, Fu-quan Xia, Kai Tu.
Inertial-type incremental constraint projection method for solving variational inequalities without Lipschitz continuity.
Numerical Algorithms, 89: 1769–1798, 2022
Kai Tu, Haibin Zhang, Huan Gao and Junkai Feng.
A hybrid Bregman alternating direction method of multipliers for the linearly constrained difference-of-convex problems
Journal of Global Optimization, 76: 665-693, 2020.
Kai Tu, Haibin Zhang and Fu-quan Xia.
A new alternating projection-based prediction–correction method for structured variational inequalities.
Optimization Methods and Software, 76: 665-693, 2020.
Kai Tu, Haibin Zhang, Huan Gao.
Stochastic proximal difference-of-convex algorithm with SPIDER for a class of nonconvex nonsmooth regularized problems.
Journal of Nonlinear and Convex Analysis, 1191-1208, 2020.
Huan Gao, Haibin Zhang, Zhibao Li and Kai Tu.
Optimality analysis on partial L1-minimization recovery.
Journal of Global Optimization, 34: 707-730, 2019.
Kai Tu, Fu-quan Xia and Jen-Chih Yao.
An iterative algorithm for solving generalized variational inequality problems and fixed point problems.
Applicable Analysis, 95: 209-225, 2016.
Kai Tu and Fu-quan Xia.
A projection-type algorithm for solving generalized mixed variational inequalities.
Acta Mathematica Scientia, 36: 1919-1630, 2016. |
