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- W2996887493 abstract "We derive new discrete event simulation algorithms for marked time point processes. The main idea is to couple a special structure, namely the associated local independence graph, as defined by Didelez arXiv:0710.5874, with the activity tracking algorithm [muzy, 2019] for achieving high performance asynchronous simulations. With respect to classical algorithm, this allows reducing drastically the computational complexity, especially when the graph is sparse. [muzy, 2019] A. Muzy. 2019. Exploiting activity for the modeling and simulation of dynamics and learning processes in hierarchical (neurocognitive) systems. (Submitted to) Magazine of Computing in Science & Engineering (2019)" @default.
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- W2996887493 date "2020-01-26" @default.
- W2996887493 modified "2023-09-27" @default.
- W2996887493 title "Discrete event simulation of point processes: A computational complexity analysis on sparse graphs" @default.
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