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A comparison of computational efficiencies of stochastic algorithms in terms of two infection models

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Publication:1942557
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DOI10.3934/mbe.2012.9.487zbMath1259.60086OpenAlexW2320211861WikidataQ44865402 ScholiaQ44865402MaRDI QIDQ1942557

Yanyan Li

Publication date: 19 March 2013

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2012.9.487

zbMATH Keywords

tau-leapingdynamical modelsGillespiebacterial and viral infection modelscontinuous time Markov chain modelsstochastic simulation algorithms


Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Population dynamics (general) (92D25) Continuous-time Markov processes on discrete state spaces (60J27)


Related Items

Impulsive Expressions in Stochastic Simulation Algorithms, Variance-reduced simulation of lattice discrete-time Markov chains with applications in reaction networks, Exact variance-reduced simulation of lattice continuous-time Markov chains with applications in reaction networks



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