Stochastic Decomposition for Two-Stage Stochastic Linear Programs with Random Cost Coefficients
From MaRDI portal
Publication:4995055
DOI10.1287/ijoc.2019.0929OpenAlexW3030444336MaRDI QIDQ4995055
Harsha Gangammanavar, Yifan Liu, Suvrajeet Sen
Publication date: 23 June 2021
Published in: INFORMS Journal on Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1287/ijoc.2019.0929
stochastic programmingsequential samplingstochastic decompositionsample average approximationtwo-stage models with random cost coefficients
Related Items
Stochastic Decomposition Method for Two-Stage Distributionally Robust Linear Optimization, Uncertainty in maritime ship routing and scheduling: a literature review, Stochastic Dynamic Linear Programming: A Sequential Sampling Algorithm for Multistage Stochastic Linear Programming
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Statistical approximations for stochastic linear programming problems
- A simulation-based approach to two-stage stochastic programming with recourse
- Monte Carlo bounding techniques for determinig solution quality in stochastic programs
- Finite master programs in regularized stochastic decomposition
- Cut sharing for multistage stochastic linear programs with interstage dependency
- The empirical behavior of sampling methods for stochastic programming
- Stochastic decomposition. A statistical method for large scale stochastic linear programming
- The Sample Average Approximation Method for Stochastic Discrete Optimization
- Mitigating Uncertainty via Compromise Decisions in Two-Stage Stochastic Linear Programming: Variance Reduction
- Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse
- Multistage Stochastic Decomposition: A Bridge between Stochastic Programming and Approximate Dynamic Programming
- L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming
- Analysis of Financial Time Series