Web Reference: I just implemented vectorized adaptive quadrature for 1D and 2D domains in quadpy. All you need to provide is a triangulation of your domain and the function you want to integrate. A user desiring reduced integration times may pass a C function pointer through scipy.LowLevelCallable to quad, dblquad, tplquad or nquad and it will be integrated and return a result in Python. Adaptive is an open-source Python library that streamlines adaptive parallel function evaluations. Rather than calculating all points on a dense grid, it intelligently selects the “best” points in the parameter space based on your provided function and bounds.
YouTube Excerpt: Adaptive integration in Python
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