Using symbolic expressions with numpy arrays

benjaminfjones
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You can try using the fast_callable function which converts a symbolic function to a python (or Cython? or C?) function that takes advantage of the fast routines for compute (for example) sin(x) where the input x is a float.

Try:

sage: x,y,z = var('x,y,z')
sage: import numpy as np
sage: X=np.linspace(-1,1,10)
sage: Y,Z=X,X
sage: f(x,y,z)=x^2*sin(y)*z
sage: ff = fast_callable(f, vars=[x,y,z])
sage: ff(1,2,3)
3*sin(2)
sage: ff(X,Y,Z)
array([  8.41470985e-01,   3.30154145e-01,   9.04347369e-02,
         1.21183221e-02,   1.52102371e-04,   1.52102371e-04,
         1.21183221e-02,   9.04347369e-02,   3.30154145e-01,
         8.41470985e-01])

My first thought was to use fast_float instead, but that doesn't seem to work. Maybe someone more knowledgeable can point out why.

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Comments

a) thanks! b) from your solution I went to the docs and I have to admit that the reason for not finding this answer was that I neither do understand what an ExpressionTree(Builder) is in the first place, nor why it seems to relate to the variables of the symbolic expression. Would you mind to give some more explanation or point me to a place in the doc where I could get the necessary background?

Xaver ( 13 years ago )

First, I agree with @Xaver that some more end-user accessible documentation would be very helpful. Google only found [this](http://www.sagemath.org/doc/reference/sage/symbolic/expression_conversions.html), which does not appear to be a good starting point. Second, I'm not sure, whether this is the solution to OP's question. $f(x,y,z)$ is a function of three independent variables, so the general numeric result should be a $NxNxN$ matrix.

jk ( 13 years ago )

See also http://trac.sagemath.org/sage_trac/ticket/5572 where fast_callable is (sort of) being worked on. This is another case of not fixing doc because there is an upgrade int the works... for years ;-) which is no offense to Jason or the others working on it, because it's a huge bit of work.

kcrisman ( 13 years ago )

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