About: Gillespie algorithm

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In probability theory, the Gillespie algorithm (or the Doob-Gillespie algorithm or Stochastic Simulation Algorithm, the SSA) generates a statistically correct trajectory (possible solution) of a stochastic equation system for which the reaction rates are known. It was created by Joseph L. Doob and others (circa 1945), presented by Dan Gillespie in 1976, and popularized in 1977 in a paper where he uses it to simulate chemical or biochemical systems of reactions efficiently and accurately using limited computational power (see stochastic simulation). As computers have become faster, the algorithm has been used to simulate increasingly complex systems. The algorithm is particularly useful for simulating reactions within cells, where the number of reagents is low and keeping track of the posit

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rdfs:label	Gillespie algorithm (en)
rdfs:comment	In probability theory, the Gillespie algorithm (or the Doob-Gillespie algorithm or Stochastic Simulation Algorithm, the SSA) generates a statistically correct trajectory (possible solution) of a stochastic equation system for which the reaction rates are known. It was created by Joseph L. Doob and others (circa 1945), presented by Dan Gillespie in 1976, and popularized in 1977 in a paper where he uses it to simulate chemical or biochemical systems of reactions efficiently and accurately using limited computational power (see stochastic simulation). As computers have become faster, the algorithm has been used to simulate increasingly complex systems. The algorithm is particularly useful for simulating reactions within cells, where the number of reagents is low and keeping track of the posit (en)
foaf:depiction
dcterms:subject	Monte Carlo methods Stochastic simulation Computational chemistry Chemical kinetics
Wikipage page ID	4438763 (xsd:integer)
Wikipage revision ID	1123040104 (xsd:integer)
Link from a Wikipage to another Wikipage	David George Kendall Monte Carlo methods Joseph L. Doob Dynamic Monte Carlo method Tau-leaping Manchester Mark 1 Stochastic Master equation William Feller Stochastic simulation Kinetic Monte Carlo Probability theory Computational chemistry Chemical kinetics Kolmogorov equations (Markov jump process) Reagent Stochastic simulation Reaction rates Stochastic process Rate equation Andrei Kolmogorov Dan Gillespie Maurice S. Bartlett Computational systems biology
Link from a Wikipage to an external page	https://www.zora.uzh.ch/id/eprint/39866/1/PSSACR.pdf https://www.zora.uzh.ch/id/eprint/79206/1/pub8.pdf http://www.soe.ucsc.edu/~msmangel/Gibson%20and%20Bruck%202000.pdf https://ora.ox.ac.uk/objects/uuid:502bcf01-26b2-47ad-9427-e7e5c1d0c604 http://apps.nrbook.com/empanel/index.html%23pg=946
sameAs	Gillespie algorithm Gillespie algorithm Gillespie algorithm Gillespie algorithm
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thumbnail	wiki-commons:Special:FilePath/Example_calculation_illustrating_the_Gillespie_algorithm_for_reversible_dimerising_molecules.png?width=300
has abstract	In probability theory, the Gillespie algorithm (or the Doob-Gillespie algorithm or Stochastic Simulation Algorithm, the SSA) generates a statistically correct trajectory (possible solution) of a stochastic equation system for which the reaction rates are known. It was created by Joseph L. Doob and others (circa 1945), presented by Dan Gillespie in 1976, and popularized in 1977 in a paper where he uses it to simulate chemical or biochemical systems of reactions efficiently and accurately using limited computational power (see stochastic simulation). As computers have become faster, the algorithm has been used to simulate increasingly complex systems. The algorithm is particularly useful for simulating reactions within cells, where the number of reagents is low and keeping track of the position and behaviour of individual molecules is computationally feasible. Mathematically, it is a variant of a dynamic Monte Carlo method and similar to the kinetic Monte Carlo methods. It is used heavily in computational systems biology. (en)
prov:wasDerivedFrom	wikipedia-en:Gillespie_algorithm?oldid=1123040104&ns=0
page length (characters) of wiki page	21318 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Gillespie_algorithm
is Link from a Wikipage to another Wikipage of	David Fell (biochemist) List of numerical analysis topics SBML Gene regulatory network Tau-leaping Mathematical and theoretical biology William Feller Gard model Daniel Gillespie Cellular noise Kinetic Monte Carlo Gillespie Reduced dimensions form Intrinsic Noise Analyzer Cellular model SSA List of statistics articles Stochastic simulation Multi-state modeling of biomolecules Stochastic process Rate equation Systems immunology
is Wikipage disambiguates of	Gillespie
is known for of	Daniel Gillespie
is known for of	Daniel Gillespie
is foaf:primaryTopic of	wikipedia-en:Gillespie_algorithm

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