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SUMMARY:Juan Carlos Muñoz Sánchez "#Student Seminar: Carleman-linearized
  epidemic models as a route to a data-driven algebraic estimate of the eff
 ective reproduction number”
DTSTART;VALUE=DATE-TIME:20260218T140000Z
DTEND;VALUE=DATE-TIME:20260218T160000Z
DTSTAMP;VALUE=DATE-TIME:20260410T120057Z
UID:indico-event-8407@indico.ific.uv.es
DESCRIPTION:Nonlinear models are fundamental in systems biology\, yet thei
 r complexity often limits analytical solutions and real-time prediction. I
 n this talk\, I will introduce the Carleman linearization method—an old 
 but still valuable mathematical technique that transforms nonlinear differ
 ential equations into simpler\, linear ones that are easier to work with. 
 To illustrate how it works\, we’ll look at its application to a classica
 l epidemiological model: the Susceptible–Infected–Removed (SIR) model.
 \n\nhttps://indico.ific.uv.es/event/8407/
LOCATION:Universe 1001-Primera-1-1-1 - Paterna. Seminario
URL:https://indico.ific.uv.es/event/8407/
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