scientific article

zbMath1228.90126MaRDI QIDQ3094202

Mei-Ju Luo, Gui-Hua Lin

Publication date: 21 October 2011

Full work available at URL: http://www.yokohamapublishers.jp/online2/oppjo/vol7/p263.html

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

quasi-Monte Carlo methodequilibrium conditionstochastic variational inequality problemsupply chain network

Mathematics Subject Classification ID

Stochastic programming (90C15) Stochastic network models in operations research (90B15) Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33)

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A new gap function for vector variational inequalities with an application ⋮ Expected residual minimization method for stochastic variational inequality problems with nonlinear perturbations ⋮ Convergence analysis of weighted expected residual method for nonlinear stochastic variational inequality problems ⋮ Expected residual minimization formulation for a class of stochastic vector variational inequalities ⋮ Deterministic bicriteria model for stochastic variational inequalities ⋮ On the unconstrained optimization reformulations for a class of stochastic vector variational inequality problems ⋮ Method of weighted expected residual for solving stochastic variational inequality problems ⋮ Robust weighted expected residual minimization formulation for stochastic vector variational inequalities

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