Maolin Che

activity

20152026

most citedRandomized algorithms for the low multilinear rank approximations of tensors

3 citations · 15 across the 14 of their papers we have counts for

collaborators

Showing 2018Show all

2 papers · 1 filter

math.OC2018

Stochastic $R_{0}$ Tensors to Stochastic Tensor Complementarity Problems

Maolin Che, Liqun Qi, Yimin Wei

The main purpose of this paper is devoted to an introduction of the stochastic tensor complementarity problem. We consider the expected residual minimization formulation of the sto…

math.NA2018★ 3 cited

Gradient Dynamic Approach to the Tensor Complementarity Problem

Xuezhong Wang, Maolin Che, Liqun Qi +1

Nonlinear gradient dynamic approach for solving the tensor complementarity problem (TCP) is presented. Theoretical analysis shows that each of the defined dynamical system models e…

Stochastic R0​ Tensors to Stochastic Tensor Complementarity Problems

Gradient Dynamic Approach to the Tensor Complementarity Problem

Stochastic $R_{0}$ Tensors to Stochastic Tensor Complementarity Problems