Second-order scenario approximation and refinement in optimization under uncertainty
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Publication:1918426
DOI10.1007/BF02187644zbMath0854.90108OpenAlexW1974299693MaRDI QIDQ1918426
G.-M. You, N. Chanaka P. Edirisinghe
Publication date: 31 July 1996
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02187644
two-stage stochastic programsscenario-based stochastic programmingsimplicial partitioning of joint domains
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Cites Work
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- Parallel processors for planning under uncertainty
- MSLiP: A computer code for the multistage stochastic linear programming problem
- An upper bound on the expectation of simplicial functions of multivariate random variables
- Stochastic two-stage programming
- Implementing bounds-based approximations in convex-concave two-stage stochastic programming
- Bounds on the Expectation of a Convex Function of a Multivariate Random Variable
- Scenarios and Policy Aggregation in Optimization Under Uncertainty
- stochastic quasigradient methods and their application to system optimization†
- A tight upper bound for the expectation of a convex function of a multivariate random variable
- Designing approximation schemes for stochastic optimization problems, in particular for stochastic programs with recourse
- Stability in Two-Stage Stochastic Programming
- Solving SLP Recourse Problems with Arbitrary Multivariate Distributions—The Dependent Case
- Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse
- Multistage stochastic programming: Error analysis for the convex case
- Bounds for Two-Stage Stochastic Programs with Fixed Recourse
- New Second-Order Bounds on the Expectation of Saddle Functions with Applications to Stochastic Linear Programming
- L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming