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Everything about Gillespie algorithm
Method for simulating stochastic systems
In probability theory and computational science, the Gillespie algorithm, also known as the stochastic simulation algorithm (SSA), is a method for generating statistically exact sample trajectories of certain continuous-time Markov jump processes. It is especially associated with the simulation of coupled chemical reaction systems. Daniel Gillespie presented the method in 1976 and developed it further in 1977. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Gillespie algorithmA 5-minute orientation
- Skim a recent paper: A differentiable Gillespie algorithm for simulating chemical kinetics, parameter estimation, and designing synthetic biological circuitsInfluential work since 2022
- Pick up a classic book: Stochastic modelling for systems biologyThe most-reprinted book on the subject
- Read the landmark paper: Continuous time boolean modeling for biological signaling: application of Gillespie algorithmCited 145 times
- Go sideways: Stochastic simulationA closely related topic
- Go sideways: Tau-leapingA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Continuous time boolean modeling for biological signaling: application of Gillespie algorithm
Simulating mesoscopic reaction-diffusion systems using the Gillespie algorithm
Temporal Gillespie Algorithm: Fast Simulation of Contagion Processes on Time-Varying Networks
STOCKS: STOChastic Kinetic Simulations of biochemical systems with Gillespie algorithm
Cellular growth and division in the Gillespie algorithm
A Gillespie Algorithm for Non-Markovian Stochastic Processes
Modeling Langmuir isotherms with the Gillespie stochastic algorithm
Application of the Gillespie algorithm to a granular intruder particle
🆕 Influential since 2022
A differentiable Gillespie algorithm for simulating chemical kinetics, parameter estimation, and designing synthetic biological circuits
Gillespie algorithm for quantum jump trajectories
Geospatial model of COVID-19 spreading and vaccination with event Gillespie algorithm
A differentiable Gillespie algorithm for simulating chemical kinetics, parameter estimation, and designing synthetic biological circuits
Simulating epidemic peak dynamics on complex networks using efficient Gillespie algorithms
📚 Books worth reading
Stochastic modelling for systems biologyDarren James Wilkinson · 2006- 📕Gillespie Algorithms for Stochastic Multiagent Dynamics in Populations and NetworksNaoki Masuda, Christian L. Vestergaard · 2023
A bibliography of Russian literature and patents on loose abrasive finishingA. P. Babichev · 2004
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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