Abstract
Abstraction techniques based on simulation relations have become an important and effective proof technique to avoid the infamous state space explosion problem. In the context of Markov chains, strong and weak simulation relations have been proposed, together with corresponding decision algorithms, but it is as yet unclear whether they can be use as effectively as their non-stochastic counterparts. This paper presents drastically improved algorithms to decide whether one (discrete- or continuous-time) Markov chain strongly or weeakly simulaties another. The key innovation is the use of parametric maximum flow techniques to amortize computations.
Original language | Undefined |
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Title of host publication | Tools and algorithms for the construction and analysis of systems |
Editors | O. Grumberg, M. Huth |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 155-169 |
Number of pages | 15 |
ISBN (Print) | 978-3-540-71208-4 |
DOIs | |
Publication status | Published - 2007 |
Event | 13th International Conference on Tools and Algorithms for Construction and Analysis of Systems, TACAS 2007 - Braga, Portugal Duration: 24 Mar 2007 → 1 Apr 2007 Conference number: 13 |
Publication series
Name | Lecture notes in computer science |
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Publisher | Springer |
Number | 2 |
Volume | 4424 |
Conference
Conference | 13th International Conference on Tools and Algorithms for Construction and Analysis of Systems, TACAS 2007 |
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Abbreviated title | TACAS |
Country/Territory | Portugal |
City | Braga |
Period | 24/03/07 → 1/04/07 |