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描述
My research has now moved into looking at the evolution of recurrence metrics over a range of ϵs. As such, I have to compute RQA across 100 different values of ϵ, which is pretty slow - some particularly annoying datasets can take up to 10 minutes, even with multithreading.
I am going to look into speeding these computations up in the future, and would appreciate any advice on where to start.
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