Pages that link to "Item:Q549891"
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The following pages link to Sample average approximation method for stochastic complementarity problems with applications to supply chain supernetworks (Q549891):
Displaying 9 items.
- Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications (Q1736388) (← links)
- Sensitivity and covariance in stochastic complementarity problems with an application to north American natural gas markets (Q1754301) (← links)
- Expected residual minimization method for a class of stochastic quasivariational inequality problems (Q1952944) (← links)
- A smoothing algorithm for a new two-stage stochastic model of supply chain based on sample average approximation (Q1992874) (← links)
- Polymorphic uncertain nonlinear programming model and algorithm for maximizing the fatigue life of V-belt drive (Q2358878) (← links)
- A sample average approximation method based on a D-gap function for stochastic variational inequality problems (Q2438415) (← links)
- A nonlinear complementarity model for supply chain network equilibrium (Q2468847) (← links)
- Neural network smoothing approximation method for stochastic variational inequality problems (Q2514678) (← links)
- Minimum mean-squared deviation method for stochastic complementarity problems (Q5739605) (← links)