I have been porting my older utility codes to Julia. Here is something I used for generating nodes for solving PDEs with meshfree methods and sparse parameterisation of inverse problems. This may be useful in solving PDEs with scientific machine learning as well. It’s not a registered package yet
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@pkmishra are you aware that Meshes.jl already supports homogeneous, density-based and clustered sampling in 2D and 3D meshes? You can see some examples here:
More generally, these are called random point processes.
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