Expected residual minimization method for monotone stochastic tensor complementarity problem

DOI10.1007/s10589-020-00222-xzbMath1466.90113OpenAlexW3074639262MaRDI QIDQ2023693

Liqun Qi, Zhenyu Ming, Li-ping Zhang

Publication date: 3 May 2021

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10589-020-00222-x

zbMATH Keywords

expected residual minimizationstochastic tensor complementarity problemstrictly positive semidefinite tensor

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33)

Related Items (6)

A smoothing projected HS method for solving stochastic tensor complementarity problem ⋮ Solvability of monotone tensor complementarity problems ⋮ Stochastic absolute value equations ⋮ An alternating direction method of multipliers for tensor complementarity problems ⋮ Stochastic \(R_0\) matrix linear complementarity problems: the Fischer-Burmeister function-based expected residual minimization ⋮ Stochastic tensor complementarity problem with discrete distribution

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