Quasi-Monte Carlo Methods Applied to Tau-Leaping in Stochastic Biological Systems

Quasi-Monte Carlo methods have proven to be effective extensions of traditional Monte Carlo methods in, amongst others, problems of quadrature and the sample path simulation of stochastic differential equations. By replacing the random number input stream in a simulation procedure by a low-discrepan...

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Veröffentlicht in:	Bulletin of mathematical biology Jg. 81; H. 8; S. 2931 - 2959
Hauptverfasser:	Beentjes, Casper H. L., Baker, Ruth E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2019 Springer Nature B.V
Schlagworte:	Algorithms Biochemical Phenomena Biological effects Cell Biology Chemical reactions Computer Simulation Convergence Decay rate Differential equations Life Sciences Mathematical and Computational Biology Mathematical Concepts Mathematical models Mathematics Mathematics and Statistics Models, Biological Models, Chemical Monte Carlo Method Monte Carlo simulation Organic chemistry Random numbers Special Issue: Gillespie and his Algorithms Stochastic Processes System effectiveness Systems Biology Stochastic simulation Monte Carlo methods Quasi-Monte Carlo Tau-leaping Variance reduction Chemical reaction networks
ISSN:	0092-8240, 1522-9602, 1522-9602
Online-Zugang:	Volltext
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