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Property-driven State-Space Coarsening for Continuous Time Markov Chains
Dynamical systems with large state-spaces are often expensive to thoroughly explore experimentally.
Geometric fluid approximation for general continuous-time Markov chains
We construct here a general method based on spectral analysis of the transition matrix of the CTMC, without the need for a population structure.
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