Published in: LIPIcs, Volume 85, 28th International Conference on Concurrency Theory (CONCUR 2017)
Yuan Feng, Ernst Moritz Hahn, Andrea Turrini, and Shenggang Ying. Model Checking Omega-regular Properties for Quantum Markov Chains. In 28th International Conference on Concurrency Theory (CONCUR 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 85, pp. 35:1-35:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
@InProceedings{feng_et_al:LIPIcs.CONCUR.2017.35, author = {Feng, Yuan and Hahn, Ernst Moritz and Turrini, Andrea and Ying, Shenggang}, title = {{Model Checking Omega-regular Properties for Quantum Markov Chains}}, booktitle = {28th International Conference on Concurrency Theory (CONCUR 2017)}, pages = {35:1--35:16}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-048-4}, ISSN = {1868-8969}, year = {2017}, volume = {85}, editor = {Meyer, Roland and Nestmann, Uwe}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CONCUR.2017.35}, URN = {urn:nbn:de:0030-drops-77818}, doi = {10.4230/LIPIcs.CONCUR.2017.35}, annote = {Keywords: Quantum Markov chains, model checking, omega-regular properties, bottom strongly connected component} }
Published in: LIPIcs, Volume 42, 26th International Conference on Concurrency Theory (CONCUR 2015)
Ernst Moritz Hahn, Guangyuan Li, Sven Schewe, Andrea Turrini, and Lijun Zhang. Lazy Probabilistic Model Checking without Determinisation. In 26th International Conference on Concurrency Theory (CONCUR 2015). Leibniz International Proceedings in Informatics (LIPIcs), Volume 42, pp. 354-367, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)
@InProceedings{hahn_et_al:LIPIcs.CONCUR.2015.354, author = {Hahn, Ernst Moritz and Li, Guangyuan and Schewe, Sven and Turrini, Andrea and Zhang, Lijun}, title = {{Lazy Probabilistic Model Checking without Determinisation}}, booktitle = {26th International Conference on Concurrency Theory (CONCUR 2015)}, pages = {354--367}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-939897-91-0}, ISSN = {1868-8969}, year = {2015}, volume = {42}, editor = {Aceto, Luca and de Frutos Escrig, David}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CONCUR.2015.354}, URN = {urn:nbn:de:0030-drops-53918}, doi = {10.4230/LIPIcs.CONCUR.2015.354}, annote = {Keywords: Markov decision processes, model checking, PLTL, determinisation} }
Published in: LIPIcs, Volume 18, IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2012)
Holger Hermanns and Andrea Turrini. Deciding Probabilistic Automata Weak Bisimulation in Polynomial Time. In IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2012). Leibniz International Proceedings in Informatics (LIPIcs), Volume 18, pp. 435-447, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)
@InProceedings{hermanns_et_al:LIPIcs.FSTTCS.2012.435, author = {Hermanns, Holger and Turrini, Andrea}, title = {{Deciding Probabilistic Automata Weak Bisimulation in Polynomial Time}}, booktitle = {IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2012)}, pages = {435--447}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-939897-47-7}, ISSN = {1868-8969}, year = {2012}, volume = {18}, editor = {D'Souza, Deepak and Radhakrishnan, Jaikumar and Telikepalli, Kavitha}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2012.435}, URN = {urn:nbn:de:0030-drops-38794}, doi = {10.4230/LIPIcs.FSTTCS.2012.435}, annote = {Keywords: Probabilistic Automata, Weak probabilsitic bisimulation, Linear Programming problem, Polynomial decision algorithm} }
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