Zobrazeno 1 - 10
of 629 359
pro vyhledávání: '"AT Gillespie"'
Autor:
Rijal, Krishna, Mehta, Pankaj
The Gillespie algorithm is commonly used to simulate and analyze complex chemical reaction networks. Here, we leverage recent breakthroughs in deep learning to develop a fully differentiable variant of the Gillespie algorithm. The differentiable Gill
Externí odkaz:
http://arxiv.org/abs/2407.04865
Autor:
J. MacDougall Hay
A leech, a pirate, a predator, an anti-Christ, a public benefactor and the fisherman's friend; such is Gillespie Strang in this remarkably powerful Scottish novel. Gillespie is the harsh prophet of the new breed of Scottish entrepreneur, prepared to
Akademický článek
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Autor:
Jane Harris
From the Orange Prize-nominated author of The Observations comes an absorbing, atmospheric exploration of one young woman's friendship with a volatile artist and her place in the controversy that consumes him. Jane Harris's Gillespie and I presents a
Autor:
Jane Harris
As she sits in her Bloomsbury home, with her two birds for company, elderly Harriet Baxter sets out to relate the story of her acquaintance, nearly four decades previously, with Ned Gillespie, a talented artist who never achieved the fame she maintai
Publikováno v:
Phys. Rev. A 110, 062212 (2024)
The jump unravelling of a quantum master equation decomposes the dynamics of an open quantum system into abrupt jumps, interspersed by periods of coherent dynamics when no jumps occur. Such open quantum systems are ubiquitous in quantum optics and me
Externí odkaz:
http://arxiv.org/abs/2303.15405
Rule-based models have been successfully used to represent different aspects of the COVID-19 pandemic, including age, testing, hospitalisation, lockdowns, immunity, infectivity, behaviour, mobility and vaccination of individuals. These rule-based app
Externí odkaz:
http://arxiv.org/abs/2210.09511
Akademický článek
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Many multiagent dynamics, including various collective dynamics occurring on networks, 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
Externí odkaz:
http://arxiv.org/abs/2112.05293
Publikováno v:
Geographical Research. Aug2022, Vol. 60 Issue 3, p511-513. 3p.
