Effective dimensional reduction of complex systems based on tensor networks

The exact treatment of Markovian models of complex systems requires knowledge of probability distributions exponentially large in the number of components n . Mean-field approximations provide an effective reduction in complexity of the models, requiring only a number of phase space variables polyno...

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Главные авторы:	Wout Merbis, Madelon Geurts, Clélia de Mulatier, Philippe Corboz
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IOP Publishing 2025-01-01
Серии:	Journal of Physics: Complexity
Предметы:	complex systems epidemic spreading tensor networks Markov process complex networks
Online-ссылка:	https://doi.org/10.1088/2632-072X/adc650
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