Cut sharing for multistage stochastic linear programs with interstage dependency
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Publication:1363428
DOI10.1007/BF02592154zbMath0874.90147OpenAlexW2082431013MaRDI QIDQ1363428
David P. Morton, Gerd Infanger
Publication date: 7 August 1997
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02592154
Monte Carlo samplingmultistage stochastic programsdecomposition-based algorithmsinterstage independent random parameters
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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
- A multicut algorithm for two-stage stochastic linear programs
- Sublinear upper bounds for stochastic programs with recourse
- Multi-stage stochastic optimization applied to energy planning
- Monte Carlo (importance) sampling within a Benders decomposition algorithm for stochastic linear programs
- Stochastic two-stage programming
- A parallel implementation of the nested decomposition algorithm for multistage stochastic linear programs
- An enhanced decomposition algorithm for multistage stochastic hydroelectric scheduling
- Consistent Estimates of Autoregressive Parameters and Extended Sample Autocorrelation Function for Stationary and Nonstationary ARMA Models
- Decomposition and Partitioning Methods for Multistage Stochastic Linear Programs
- A regularized decomposition method for minimizing a sum of polyhedral functions
- Designing approximation schemes for stochastic optimization problems, in particular for stochastic programs with recourse
- Solving SLP Recourse Problems with Arbitrary Multivariate Distributions—The Dependent Case
- Modeling Multiple Times Series with Applications
- Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse
- Tight Bounds for Stochastic Convex Programs
- Stochastic Programs with Fixed Recourse: The Equivalent Deterministic Program
- L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming