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np.gradient is used for most of the gradient calculation, which is a second order gradient operator. My worry is that it may not be enough for higher order gradients. It would be great if you can implement some higher order gradient functions. At least, the users should get a warning when doing something like
sf = fluidsf.generate_structure_functions_2d(U, V, x, y, sf_type=["LLLLLLLLL"], boundary=None)
The text was updated successfully, but these errors were encountered:
This is part of the JOSS paper review openjournals/joss-reviews#7873
np.gradient
is used for most of the gradient calculation, which is a second order gradient operator. My worry is that it may not be enough for higher order gradients. It would be great if you can implement some higher order gradient functions. At least, the users should get a warning when doing something likeThe text was updated successfully, but these errors were encountered: