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SUMMARY:HighDimPDE.jl: Solving high dimensional PDEs using deep learning -
  Ashutosh Bharambe
DTSTART;TZID=Europe/Amsterdam:20240712T161000
DTEND;TZID=Europe/Amsterdam:20240712T162000
DTSTAMP:20261011T054827Z
UID:pretalx-juliacon2024-WJTHSD@pretalx.com
DESCRIPTION:High-dimensional partial differential equations (PDEs) arise i
 n various scientific domains\, including physics\, engineering\, finance\,
  and biology. However\, simulating these PDEs is challenging due to the 
 “curse of dimensionality.” As dimensions increase\, the computational 
 cost of solving these equations grows exponentially. HighDimPDE.jl is a Ju
 lia package that addresses this curse of dimensionality\, offering deep le
 arning-based solutions for the simulation of high-dimensional PDEs.
LOCATION:Method (1.5)
URL:https://pretalx.com/juliacon2024/talk/WJTHSD/
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