# Symbolic Time and Space Tradeoffs for Probabilistic Verification

@article{Chatterjee2021SymbolicTA, title={Symbolic Time and Space Tradeoffs for Probabilistic Verification}, author={Krishnendu Chatterjee and Wolfgang Dvor{\'a}k and Monika Henzinger and Alexander Svozil}, journal={2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS)}, year={2021}, pages={1-13} }

We present a faster symbolic algorithm for the following central problem in probabilistic verification: Compute the maximal end-component (MEC) decomposition of Markov decision processes (MDPs). This problem generalizes the SCC decomposition problem of graphs and closed recurrent sets of Markov chains. The model of symbolic algorithms is widely used in formal verification and model-checking, where access to the input model is restricted to only symbolic operations (e.g., basic set operations…

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