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pro vyhledávání: '"Bestehorn A"'
Autor:
Granger, Teo, Michelitsch, Thomas M., Bestehorn, Michael, Riascos, Alejandro P., Collet, Bernard A.
We study epidemic spreading in complex networks by a multiple random walker approach. Each walker performs an independent simple Markovian random walk on a complex undirected (ergodic) random graph where we focus on Barab\'asi-Albert (BA), Erd\"os-R\
Externí odkaz:
http://arxiv.org/abs/2403.11774
Our study is devoted to a four-compartment epidemic model of a constant population of independent random walkers. Each walker is in one of four compartments (S-susceptible, C-infected but not infectious (period of incubation), I-infected and infectio
Externí odkaz:
http://arxiv.org/abs/2308.14495
The combinatorial integral approximation (CIA) is a solution technique for integer optimal control problems. In order to regularize the solutions produced by CIA, one can minimize switching costs in one of its algorithmic steps. This leads to combina
Externí odkaz:
http://arxiv.org/abs/2305.12846
Akademický článek
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Our study is based on an epidemiological compartmental model, the SIRS model. In the SIRS model, each individual is in one of the states susceptible (S), infected(I) or recovered (R), depending on its state of health. In compartment R, an individual
Externí odkaz:
http://arxiv.org/abs/2301.12437
Autor:
Granger, Teo, Michelitsch, Thomas M., Bestehorn, Michael, Riascos, Alejandro P., Collet, Bernard A.
Publikováno v:
Physical Review E 107, 044207 (2023)
We study an epidemic model for a constant population by taking into account four compartments of the individuals characterizing their states of health. Each individual is in one of the compartments susceptible (S); incubated - infected yet not infect
Externí odkaz:
http://arxiv.org/abs/2210.09912
Autor:
Luise Gaede, Helge Möllmann
Publikováno v:
Clinical Research in Cardiology. 112:329-329
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3ee9025eac69d65b05f59c0a722b1c8
https://doi.org/10.1007/s00392-022-02112-0
https://doi.org/10.1007/s00392-022-02112-0
Akademický článek
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High-precision measurements require optimal setups and analysis tools to achieve continuous improvements. Systematic corrections need to be modeled with high accuracy and known uncertainty to reconstruct underlying physical phenomena. To this end, we
Externí odkaz:
http://arxiv.org/abs/2205.07625