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41#
發(fā)表于 2025-3-28 16:21:17 | 只看該作者
42#
發(fā)表于 2025-3-28 21:54:14 | 只看該作者
43#
發(fā)表于 2025-3-29 00:54:11 | 只看該作者
44#
發(fā)表于 2025-3-29 07:09:53 | 只看該作者
45#
發(fā)表于 2025-3-29 10:58:56 | 只看該作者
Computing ,-Bisimulations for?Large Graphs: A Comparison and?Efficiency Analysisorithms on all datasets for all . and for smaller?. in some cases. The BRS implementations of the two bisimulation algorithms run almost as fast as each other. Thus, the BRS algorithm is an effective parallelization of the sequential Kaushik et?al. bisimulation algorithm.
46#
發(fā)表于 2025-3-29 13:40:32 | 只看該作者
Dominant Eigenvalue-Eigenvector Pair Estimation via?Graph Infectionhod and power iteration. Our results show clear advantages over power iteration for tree graphs, bipartite graphs, directed graphs with periods, and Markov chains with spider-traps. To our knowledge, this is the first work that estimates dominant eigenvalue and eigenvector pair from the perspective
47#
發(fā)表于 2025-3-29 18:33:10 | 只看該作者
48#
發(fā)表于 2025-3-29 20:30:29 | 只看該作者
https://doi.org/10.1007/978-3-642-05064-0emantics of our logics with a computer-assisted formalisation using the proof assistant Agda, and we round up the paper by highlighting the crucial aspects of our formalisation and the practical use of quantified temporal logics in a constructive proof assistant.
49#
發(fā)表于 2025-3-30 01:59:39 | 只看該作者
50#
發(fā)表于 2025-3-30 06:12:09 | 只看該作者
https://doi.org/10.1007/978-3-658-33877-0hile facilitating property checking. Our approach is based on a higher-order transformation from BPMN models to graph transformation systems. As proof of concept, we have implemented our approach in an open-source web-based tool.
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