Robust weighted expected residual minimization formulation for stochastic vector variational inequalities
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Publication:5743300
DOI10.22436/jnsa.010.11.20zbMath1412.90155OpenAlexW2770282160MaRDI QIDQ5743300
Yong Zhao, Zai-Yun Peng, Yun-bin Zhao
Publication date: 9 May 2019
Published in: The Journal of Nonlinear Sciences and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.22436/jnsa.010.11.20
Stochastic programming (90C15) Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33)
Cites Work
- A class of generalized evolution variational inequalities in Banach spaces
- Weak sharpness for gap functions in vector variational inequalities
- Regularizations for stochastic linear variational inequalities
- CVaR-based formulation and approximation method for stochastic variational inequalities
- Some remarks on the Minty vector variational inequality
- Robust solution of monotone stochastic linear complementarity problems
- Expected residual minimization method for stochastic variational inequality problems
- Convergence results of the ERM method for nonlinear stochastic variational inequality problems
- Equivalent differentiable optimization problems and descent methods for asymmetric variational inequality problems
- Sample-path solution of stochastic variational inequalities
- Vector variational inequalities and vector equilibria. Mathematical theories
- Stochastic variational inequalities: single-stage to multistage
- Expected residual minimization formulation for a class of stochastic vector variational inequalities
- Some equivalence results for well-posedness of hemivariational inequalities
- Stability analysis of stochastic programs with second order dominance constraints
- Gap functions for vector variational inequalities
- On Robust Solutions to Uncertain Linear Complementarity Problems and their Variants
- Fully history-dependent quasivariational inequalities in contact mechanics
- Stochastic Variational Inequalities: Residual Minimization Smoothing Sample Average Approximations
- Robust and Stochastically Weighted Multiobjective Optimization Models and Reformulations
- Stochastic mathematical programs with equilibrium constraints, modelling and sample average approximation
- SAMPLE AVERAGE APPROXIMATION METHODS FOR A CLASS OF STOCHASTIC VARIATIONAL INEQUALITY PROBLEMS
- Lectures on Stochastic Programming
- Vector variational inequality as a tool for studying vector optimization problems
- Finite-Dimensional Variational Inequalities and Complementarity Problems
- Stochastic Approximation Approaches to the Stochastic Variational Inequality Problem
- Expected Residual Minimization Method for Stochastic Linear Complementarity Problems
- New restricted NCP functions and their applications to stochastic NCP and stochastic MPEC
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