BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//juliacon2024//speaker//9CYSSM
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-juliacon2024-LSCYQJ@pretalx.com
DTSTART;TZID=CET:20240710T162000
DTEND;TZID=CET:20240710T163000
DESCRIPTION:In this talk\, we present a fast method for estimating paramete
 rs from data\, when modeling with differential equations.\nPhysicsInformed
 Regression.jl works as an extension to the [SciML](https://sciml.ai/) ecos
 ystem\, specifically for symbolic models. It'll be shown how to apply the 
 provided method on simulated data for certain examples (SIR\, enzyme react
 ions\, lotka-volterra and lorenz attractor).
DTSTAMP:20260608T025711Z
LOCATION:Else (1.3)
SUMMARY:Fast parameter estimation with PhysicsInformedRegression.jl - Marcu
 s Galea Jacobsen\, Jonas Nielsen\, Albert Brincker Olson
URL:https://pretalx.com/juliacon2024/talk/LSCYQJ/
END:VEVENT
END:VCALENDAR