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Docs for parallel repos:

Intergrid: interpolate in an N-d box grid, uniform or non-uniform. This is just a wrapper for scipy.ndimage.map_coordinates and numpy.interp. It's fast: ~ 1M interpolations / sec in 4d.

Barypol: interpolate in an N-d box grid, using d + 1 corners of a simplex (triangle, tetrahedron ...) around each query point.
From Munos and Moore, "Variable Resolution Discretization in Optimal Control", 1999, 24p; see the pictures and example on pp. 4-5.

Nelder-Mead: function minimization in Python NumPy, with restarts, verbose, correct convergence test.

Comments are welcome, testcases most welcome.

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