Hi All,

David Cournapeau has mentioned that he would like to have a numpy math library that would supply missing functions and I'm wondering how we should organise the source code. Should we put a mathlib directory in numpy/core/src? Inside that directory would be functions for single/double/extended/quad precision. Should they be in separate directories? What about complex versions? I'm thinking that a good start would be to borrow the msun functions for doubles. We should also make a list of what functions would go into the library and what interface the complex functions present.

Thoughts?

For starters: you talking things like Airy, Bessel, Gamma, stuff like that?

DG

Chuck

_______________________________________________

NumPy-Discussion mailing list

NumPy-Discussion@scipy.org

http://mail.scipy.org/mailman/listinfo/numpy-discussion

--

Mathematician: noun, someone who disavows certainty when their uncertainty set is non-empty, even if that set has measure zero.