S-Leaping: An Adaptive, Accelerated Stochastic Simulation Algorithm, Bridging τ-Leaping and R-Leaping

We propose the S -leaping algorithm for the acceleration of Gillespie’s stochastic simulation algorithm that combines the advantages of the two main accelerated methods; the τ -leaping and R -leaping algorithms. These algorithms are known to be efficient under different conditions; the τ -leaping is...

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Veröffentlicht in:	Bulletin of mathematical biology Jg. 81; H. 8; S. 3074 - 3096
Hauptverfasser:	Lipková, Jana, Arampatzis, Georgios, Chatelain, Philippe, Menze, Bjoern, Koumoutsakos, Petros
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2019 Springer Nature B.V
Schlagworte:	Acceleration Adaptive algorithms Algorithms Bacillus subtilis - genetics Bacillus subtilis - metabolism Biochemical Phenomena Cell Biology Computer Simulation Dimerization Escherichia coli - genetics Escherichia coli - metabolism Escherichia coli Proteins - genetics Escherichia coli Proteins - metabolism Kinetics Lac Operon Life Sciences Markov Chains Mathematical and Computational Biology Mathematical Concepts Mathematics Mathematics and Statistics Models, Biological Monosaccharide Transport Proteins - genetics Monosaccharide Transport Proteins - metabolism Sampling Special Issue: Gillespie and His Algorithms Stochastic Processes Symporters - genetics Symporters - metabolism Systems Biology Stochastic simulation algorithms Stiff systems Accelerated simulation
ISSN:	0092-8240, 1522-9602, 1522-9602
Online-Zugang:	Volltext
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