FAST (Finally An SDDP Toolbox) is an SDDP toolbox for Matlab
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FAST is a Matlab toolbox designed to solve Multi-stage Stochastic Linear Programs; i.e. sequence of nested linear program where the right-hand side can be time dependent (more here http://baemerick.be/fast/tuto.php).
The toolbox can accommodate almost any kind of random scenarios, up to a time-dependent Markov chain.
FAST uses the SDDP algorithm to tackle the curse of dimensionally by using Monte-Carlo simulations; solving the linear subproblems is done internally using either linprog (from the optimization toolbox) or one of the following commercial solver: Gurobi, Mosek of Cplex.
More information on the Github repository (https://github.com/leopoldcambier/FAST) and the website (https://web.stanford.edu/~lcambier/fast/).
Content is distributed under the open-source license GNU GPL v3 (see https://github.com/leopoldcambier/FAST/blob/master/LICENSE).
Cite As
Léopold Cambier (2026). FAST (https://github.com/leopoldcambier/FAST), GitHub. Retrieved .
Categories
Find more on Stochastic Differential Equation (SDE) Models in Help Center and MATLAB Answers
General Information
- Version 1.0.0.0 (106 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | Updating website |
