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@hammy4815 here's that updated smoothing function -- I haven't ran the full experiment because I need to setup an env. Do you have a Project.toml with all the required packages?

@ianmatthewhammond
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Great, I'll try out the new changes.

I have a Project.toml here that I've been using for everything:

[deps]
CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
ChainRules = "082447d4-558c-5d27-93f4-14fc19e9eca2"
ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
Gmsh = "705231aa-382f-11e9-3f0c-b7cb4346fdeb"
Gridap = "56d4f2e9-7ea1-5844-9cf6-b9c51ca7ce8e"
GridapGmsh = "3025c34a-b394-11e9-2a55-3fee550c04c8"
GridapMakie = "41f30b06-6382-4b60-a5f7-79d86b35bf5d"
Interpolations = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
NLopt = "76087f3c-5699-56af-9a33-bf431cd00edd"
Parameters = "d96e819e-fc66-5662-9728-84c9c7592b0a"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
SparseMatricesCSR = "a0a7dd2c-ebf4-11e9-1f05-cf50bc540ca1"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
SuiteSparse = "4607b0f0-06f3-5cda-b6b1-a6196a1729e9"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"

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2 participants