English

Stochastic $R_0$ Tensors to Stochastic Tensor Complementarity Problems

Optimization and Control 2018-08-13 v1

Abstract

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 stochastic tensor complementarity problem. We show that the solution set of the expected residual minimization problem is nonempty and bounded, if the associated tensor is an R0R_0 tensor. We also prove that the associated tensor being a stochastic R0R_0 tensor is a necessary and sufficient condition for the solution set of the expected residual minimization problem to be nonempty and bounded.

Keywords

Cite

@article{arxiv.1808.03436,
  title  = {Stochastic $R_0$ Tensors to Stochastic Tensor Complementarity Problems},
  author = {Maolin Che and Liqun Qi and Yimin Wei},
  journal= {arXiv preprint arXiv:1808.03436},
  year   = {2018}
}

Comments

18 pages

R2 v1 2026-06-23T03:29:41.704Z