Pages that link to "Item:Q2507414"
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The following pages link to The empirical behavior of sampling methods for stochastic programming (Q2507414):
Displaying 17 items.
- Efficient Stochastic Programming in Julia (Q5106388) (← links)
- On Feasibility of Sample Average Approximation Solutions (Q5116547) (← links)
- Adaptive Partition-Based Level Decomposition Methods for Solving Two-Stage Stochastic Programs with Fixed Recourse (Q5131710) (← links)
- Stochastic polynomial optimization (Q5210742) (← links)
- Learning regularization parameters for general-form Tikhonov (Q5348006) (← links)
- An Adaptive Partition-Based Approach for Solving Two-Stage Stochastic Programs with Fixed Recourse (Q5501230) (← links)
- Periodic supply vessel planning under demand and weather uncertainty (Q5889188) (← links)
- Using stochastic programming to solve an outpatient appointment scheduling problem with random service and arrival times (Q6052537) (← links)
- Capacity reservation for humanitarian relief: a logic-based benders decomposition method with subgradient cut (Q6096622) (← links)
- Non-parametric generalised newsvendor model (Q6099404) (← links)
- The Benders by batch algorithm: design and stabilization of an enhanced algorithm to solve multicut Benders reformulation of two-stage stochastic programs (Q6112748) (← links)
- Sample average approximation for risk-averse problems: a virtual power plant scheduling application (Q6114903) (← links)
- A stochastic optimization approach for staff scheduling decisions at inpatient units (Q6146641) (← links)
- Block mirror stochastic gradient method for stochastic optimization (Q6158991) (← links)
- Scalable Optimal Classifiers for Adversarial Settings Under Uncertainty (Q6488589) (← links)
- Distributions and bootstrap for data-based stochastic programming (Q6538818) (← links)
- Stochastic decomposition for risk-averse two-stage stochastic linear programs (Q6667704) (← links)
