Benchmark Problems on Stochastic Automata Networks in Tensor Train Format
This software provides transition rate matrices of models for Stochastic Automata Networks (SAN) in their representation as operators in Tensor Train (TT) format. The collection contains models from real-life applications both taken from references directly or adaptations that still have a realistic interpretation. It provides a big variety of applications associated with Stochastic Automata Network, allowing the user to test and tune algorithms for the solution of relevant associated problems as, for instance, the determination of their steady-state.
ZIP file containing the Matlab code for the Benchmark Problems. Note that it is meant to be used in combination with the TT Toolbox 2.2 by I. Oseledets et al., but does not strictly depend on it.
- F. Macedo: Benchmark Problems on Stochastic Automata Networks in Tensor Train Format. 2015. (PDF)