Finite master programs in regularized stochastic decomposition
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Publication:1341566
DOI10.1007/BF01582219zbMath0828.90097MaRDI QIDQ1341566
Publication date: 5 January 1995
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
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Cites Work
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- Statistical verification of optimality conditions for stochastic programs with recourse
- A regularized stochastic decomposition algorithm for two-stage stochastic linear programs
- Methods of descent for nondifferentiable optimization
- A Linearization Method for Nonsmooth Stochastic Programming Problems
- Decomposition and Partitioning Methods for Multistage Stochastic Linear Programs
- A regularized decomposition method for minimizing a sum of polyhedral functions
- A set of staircase linear programming test problems
- Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse
- On the Convergence of Algorithms with Implications for Stochastic and Nondifferentiable Optimization
- Stochastic Programs with Fixed Recourse: The Equivalent Deterministic Program
- Monotone Operators and the Proximal Point Algorithm
- L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming