Parallel and distributed computing for stochastic dual dynamic programming
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Publication:2155214
DOI10.1007/s10287-021-00411-xOpenAlexW3194403170MaRDI QIDQ2155214
Publication date: 15 July 2022
Published in: Computational Management Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10287-021-00411-x
parallel computingmultistage stochastic programmingdistributed computinghigh performance computingstochastic dual dynamic programming
Cites Work
- Unnamed Item
- Dynamic sampling algorithms for multi-stage stochastic programs with risk aversion
- Improving the performance of stochastic dual dynamic programming
- Analysis of stochastic dual dynamic programming method
- On the convergence of stochastic dual dynamic programming and related methods
- Multi-stage stochastic optimization applied to energy planning
- Modeling time-dependent randomness in stochastic dual dynamic programming
- Dual dynamic programming with cut selection: convergence proof and numerical experiments
- A multi-stage stochastic optimization model of a pastoral dairy farm
- Distributionally robust SDDP
- Gas storage valuation in incomplete markets
- Single cut and multicut stochastic dual dynamic programming with cut selection for multistage stochastic linear programs: convergence proof and numerical experiments
- Asynchronous Lagrangian scenario decomposition
- Risk neutral and risk averse stochastic dual dynamic programming method
- On level regularization with normal solutions in decomposition methods for multistage stochastic programming problems
- Julia: A Fresh Approach to Numerical Computing
- Introduction to Stochastic Programming
- Regularized Decomposition of High-Dimensional Multistage Stochastic Programs with Markov Uncertainty
- SDDP.jl: A Julia Package for Stochastic Dual Dynamic Programming
- Optimizing Trading Decisions for Hydro Storage Systems Using Approximate Dual Dynamic Programming
- JuMP: A Modeling Language for Mathematical Optimization
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