Tensor product approach to modelling epidemics on networks
DOI10.1016/j.amc.2023.128290arXiv2209.03756MaRDI QIDQ6095052
Sergey V. Dolgov, Dmitry V. Savostyanov
Publication date: 11 October 2023
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2209.03756
rare eventsnetworksMonte Carlo simulationchemical master equationstochastic simulation algorithmhigh precisiontensor trainepidemiological modelling
Stochastic network models in operations research (90B15) Dynamical systems in biology (37N25) Linear ordinary differential equations and systems (34A30) Multilinear algebra, tensor calculus (15A69) Applications of continuous-time Markov processes on discrete state spaces (60J28) Numerical methods for low-rank matrix approximation; matrix compression (65F55)
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