The Computer Journal
A modeling language for mathematical programming
Management Science
MSLiP: a computer code for the multistage stochastic linear programming problem
Mathematical Programming: Series A and B
Scenarios and policy aggregation in optimization under uncertainty
Mathematics of Operations Research
Stochastic decomposition: an algorithm for two-state linear programs with recourse
Mathematics of Operations Research
SLP-IOR: an interactive model management system for stochastic linear programs
Mathematical Programming: Series A and B
IEEE Computational Science & Engineering
On a New Collection of Stochastic Linear Programming Test Problems
INFORMS Journal on Computing
AIMMS - Optimization Modeling
Robust Optimization Made Easy with ROME
Operations Research
Hi-index | 0.00 |
Every multistage stochastic programming problem with recourse (MSPR) contains a filtration process. In this research, we have created a notation that makes the filtration process the central syntactic construction of the MSPR. As a result, we achieve lower redundancy and higher modularity than is possible using the mathematical notation commonly associated with stochastic programming. To experiment with our ideas, we have created StAMPL, a specialized modeling tool for the MSPR that is based on the AMPL modeling language. StAMPL implements our notation and converts models written in our notation to instances that can be solved using standard methods. Using this approach, we are able to represent models in a very clean, simple, and scalable format while maintaining almost all the power of the AMPL language.