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CORR
2009
Springer

Distributed Branching Bisimulation Minimization by Inductive Signatures

13 years 10 months ago
Distributed Branching Bisimulation Minimization by Inductive Signatures
We present a new distributed algorithm for state space minimization modulo branching bisimulation. Like its predecessor it uses signatures for refinement, but the refinement process and the signatures have been optimized to exploit the fact that the input graph contains no -loops. The optimization in the refinement process is meant to reduce both the number of iterations needed and the memory requirements. In the former case we cannot prove that there is an improvement, but our experiments show that in many cases the number of iterations is smaller. In the latter case, we can prove that the worst case memory use of the new algorithm is linear in the size of the state space, whereas the old algorithm has a quadratic upper bound. The paper includes a proof of correctness of the new algorithm and the results of a number of experiments that compare the performance of the old and the new algorithms. This report is an extension of [10] with full proofs.
Stefan Blom, Jaco van de Pol
Added 17 Feb 2011
Updated 17 Feb 2011
Type Journal
Year 2009
Where CORR
Authors Stefan Blom, Jaco van de Pol
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