This article improves the time bound for calculating the weak/branching bisimulation minimisation quotient on state-labelled discrete-time Markov chains from O(m n) to an expected-time O(m log4 n), where n is the number of states and m the number of transitions. The algorithm in this article also can determine branching bisimulation for action-labelled fully probabilistic systems in the same time complexity. It follows the ideas of Groote et al. (ACM ToCL 2017) in combination with an efficient algorithm to handle decremental strongly connected components (Bernstein et al., STOC 2019)
We present the first parallel algorithms that decide strong and branching bisimilarity in linear tim...
We present the first parallel algorithms that decide strong and branching bisimilarity in linear tim...
We present the first parallel algorithms that decide strong and branching bisimilarity in linear tim...
This article improves the time bound for calculating the weak/branching bisimulation minimisation qu...
This article improves the time bound for calculating the weak/branching bisimulation minimisation qu...
This article improves the time bound for calculating the weak/branching bisimulation minimisation qu...
This article improves the time bound for calculating the weak/branching bisimulation minimisation qu...
This article improves the time bound for calculating the weak/branching bisimulation minimisation qu...
We propose polynomial-time algorithms to minimise labelled Markov chains whose transition probabilit...
We propose polynomial-time algorithms to minimise labelled Markov chains whose transition probabilit...
Branching bisimilarity is a behavioural equivalence relation on labelled transition systems that tak...
Abstract. This paper proposes an algorithm for exact computation of bisimilarity distances between d...
We propose a distance between continuous-time Markov chains (CTMCs) and studythe problem of computin...
Abstract. We propose a distance between continuous-time Markov chains (CTMCs) and study the problem ...
We present the first parallel algorithms that decide strong and branching bisimilarity in linear tim...
We present the first parallel algorithms that decide strong and branching bisimilarity in linear tim...
We present the first parallel algorithms that decide strong and branching bisimilarity in linear tim...
We present the first parallel algorithms that decide strong and branching bisimilarity in linear tim...
This article improves the time bound for calculating the weak/branching bisimulation minimisation qu...
This article improves the time bound for calculating the weak/branching bisimulation minimisation qu...
This article improves the time bound for calculating the weak/branching bisimulation minimisation qu...
This article improves the time bound for calculating the weak/branching bisimulation minimisation qu...
This article improves the time bound for calculating the weak/branching bisimulation minimisation qu...
We propose polynomial-time algorithms to minimise labelled Markov chains whose transition probabilit...
We propose polynomial-time algorithms to minimise labelled Markov chains whose transition probabilit...
Branching bisimilarity is a behavioural equivalence relation on labelled transition systems that tak...
Abstract. This paper proposes an algorithm for exact computation of bisimilarity distances between d...
We propose a distance between continuous-time Markov chains (CTMCs) and studythe problem of computin...
Abstract. We propose a distance between continuous-time Markov chains (CTMCs) and study the problem ...
We present the first parallel algorithms that decide strong and branching bisimilarity in linear tim...
We present the first parallel algorithms that decide strong and branching bisimilarity in linear tim...
We present the first parallel algorithms that decide strong and branching bisimilarity in linear tim...
We present the first parallel algorithms that decide strong and branching bisimilarity in linear tim...