Efficient formulation of the stochastic simulation algorithm for chemically reacting systems.
By Yang Cao, Hong Li, Linda R. Petzold. Journal of Chemical Physics, 2004
461 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computational Theory and Mathematics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/5afd54dc123f4be8415d516994c25bcc58755641
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Dionisios G. Vlachos
- Abhijit Chatterjee
- Daniel T. Gillespie
- Paul C. Bressloff
- Christiane Lemieux
- Tobias Jahnke
- Wilhelm Huisinga
- Kevin Burrage
In Computational Theory and Mathematics
In Molecular Biology
- Dionisios G. Vlachos
- Abhijit Chatterjee
- Daniel T. Gillespie
- Paul C. Bressloff
- Christiane Lemieux
- Tobias Jahnke
- Wilhelm Huisinga
- Kevin Burrage
Citations in the corpus
- An overview of spatial microscopic and accelerated kinetic Monte Carlo methods (2007, methodology): “When time scale separation between processes exists, the linear search method is most efficient when fast processes (processes with large expected transition probability) are located at the beginning of the array/linked list [137].”
- Stochastic population dynamics in spatially extended predator–prey systems (2017, background): “[66] for a good overview) can be challenging to implement due to the complexity involved in calculating the reaction propensities.”
- Stochastic simulation of chemical kinetics. (2007, methodology): “Cao et al. ( 21 ) recently introduced a modified direct method that often makes the direct method competitive in speed with the next-reaction method.”