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tisimst
Fast, transparent calculations of first and second-order automatic differentiation
Hello! I am doing fresh installation of [GPkit](https://github.com/convexengineering/gpkit), a package that has `ad` as a dependency and I encountered some issues during installation. ``` Collecting ad Downloading ad-1.3.2.zip (26 kB)...
I really like this package but unless I am misusing it I think it suffers terribly from lack of speed. I am currently trying to calculate the greeks of a...
Consider the following code: ``` python >>> import ad >>> import numpy as np >>> x = ad.adnumber(1.0) >>> y = np.sin(x) --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in...
Hi, Can the derivative functions, Jacobian and Hessian, produced by gh() be converted to c code by cpython for speed up? Or any other way? Thanks.
ad supports numpy well, but doesn't work well with scipy.sparse. Many calculation involves sparse matrix. Does ad support one or plan to support?
