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SciML / QuasiMonteCarlo.jl

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
https://docs.sciml.ai/QuasiMonteCarlo/stable/
MIT License
104 stars 26 forks source link

Explanation/Tutorial on effective dimension in documentation #43

Open ParadaCarleton opened 2 years ago

ParadaCarleton commented 2 years ago

Effective dimension is a very important concept in QMC; it's necessary to understand what points you should use and how to . We should probably create a tutorial explaining them. (Otherwise people are likely to assume QMC points are a drop-in replacement for Monte Carlo points that can be used without additional thought. I know I did before learning more about them :sweat_smile: )

ChrisRackauckas commented 2 years ago

That would be fantastic to add. I mean right now the package has 0 tutorials, so 1 tutorial would be infinity times better.