A modeling approach of the chemostat
type: Distribution
access URL: https://inria.hal.science/hal-00998194
format: HTML
issued: 2026-05-05T09:57:23.314455
modified: 2026-05-05T09:57:23.302270

test_moissonnage_selune
type: Agent

A modeling approach of the chemostat
type: Dataset
contact point: Organization
  fn: CCSD
keyword: infoeu-reposemanticsreport
keyword: chemostat-model
keyword: stochastic-chemostat-model
keyword: reports
keyword: individually-based-model-ibm
keyword: monte-carlo
keyword: mathmath-prmathematics-mathprobability-mathpr
keyword: mass-structured-chemostat-model
landing page: https://inria.hal.science/hal-00998194
description: Population dynamics and in particular microbial population dynamics, though they are complex but also intrinsically discrete and random, are conventionally represented as deterministic differential equations systems. We propose to revisit this approach by complementing these classic formalisms by stochastic formalisms and to explain the links between these representations in terms of mathematical analysis but also in terms of modeling and numerical simulations. We illustrate this approach on the model of chemostat.
issued: 2026-05-05T09:57:23.313345
language: en
modified: 2026-05-05T09:57:23.313350