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PRODID:-//pretalx//pretalx.com//juliacon-2022//speaker//LBHDJ9
BEGIN:VEVENT
UID:pretalx-juliacon-2022-YSLKZJ@pretalx.com
DTSTART:20220727T123000Z
DTEND:20220727T130000Z
DESCRIPTION:We present a Julia toolchain for the adaptive simulation of hyp
 erbolic PDEs such as flow equations on complex domains. It begins with HOH
 QMesh.jl to create a curved\, unstructured mesh. This mesh is then used in
  Trixi.jl\, a numerical simulation framework for conservation laws. We vis
 ualize the results using Julia’s plotting packages. We highlight select 
 features in Trixi.jl\, like adaptive mesh refinement (AMR) or shock captur
 ing\, useful for practical applications with complex transient behavior.
DTSTAMP:20260310T190035Z
LOCATION:Red
SUMMARY:From Mesh Generation to Adaptive Simulation: A Journey in Julia - A
 ndrew Winters
URL:https://pretalx.com/juliacon-2022/talk/YSLKZJ/
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