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UID:pretalx-juliacon2024-WJTHSD@pretalx.com
DTSTART;TZID=CET:20240712T161000
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DESCRIPTION:High-dimensional partial differential equations (PDEs) arise in
  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 cos
 t of solving these equations grows exponentially. HighDimPDE.jl is a Julia
  package that addresses this curse of dimensionality\, offering deep learn
 ing-based solutions for the simulation of high-dimensional PDEs.
DTSTAMP:20260608T024609Z
LOCATION:Method (1.5)
SUMMARY:HighDimPDE.jl: Solving high dimensional PDEs using deep learning - 
 Ashutosh Bharambe
URL:https://pretalx.com/juliacon2024/talk/WJTHSD/
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