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UID:pretalx-juliacon2021-HFHLDS@pretalx.com
DTSTART:20210730T132000Z
DTEND:20210730T133000Z
DESCRIPTION:In this talk\, we explore the novel capabilities of Gridap to s
 olve Partial Differential Equations (PDEs) in Julia. This includes new fea
 tures like a high-level API to write the PDE weak form with a syntax almos
 t identical to the math notation\, support for automatic differentiation\,
  and simulation of PDEs on manifolds and domains of mixed geometrical dime
 nsions. We will showcase these techniques with representative applications
  and performance comparisons against codes implemented in C/C++.
DTSTAMP:20260511T123012Z
LOCATION:Purple
SUMMARY:New tools to solve PDEs in Julia with Gridap.jl - Francesc Verdugo\
 , Eric Neiva\, Oriol Colomes\, Santiago Badia
URL:https://pretalx.com/juliacon2021/talk/HFHLDS/
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