Gillespie algorithms for stochastic multiagent dynamics in populations and networks / / Naoki Masuda, Christian L. Vestergaard.
Many multiagent dynamics can be modeled as a stochastic process in which the agents in the system change their state over time in interaction with each other. The Gillespie algorithms are popular algorithms that exactly simulate such stochastic multiagent dynamics when each state change is driven by...
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| Superior document: | Cambridge elements. Elements in the structure and dynamics of complex networks, |
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| Place / Publishing House: | Cambridge : : Cambridge University Press,, 2022. |
| Year of Publication: | 2022 |
| Edition: | First edition. |
| Language: | English |
| Series: | Cambridge elements. Elements in the structure and dynamics of complex networks,
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| Physical Description: | 1 online resource (96 pages) :; digital, PDF file(s). |
| Notes: | Title from publisher's bibliographic system (viewed on 19 Dec 2022). |
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| DOAB Directory of Open Access Books | Available |