[Numpy-discussion] vectorization of vectorization

sm lkd thusweare@hotmail....
Thu Aug 19 16:22:32 CDT 2010

Here's my problem: for each value t of an array (from 0 to 1e6) a smaller array is computed (size between 2-6). To compute the smaller array, I have a function (which can be easily vectorized if necessary) which takes t and an array of powers of t. The return is an array of modified Bessel function values, i.e.:
def funct(order, t, power):
   return special.iv(order, t)**power
Note that order and power are arrays after this vectorization:
vec_func = sp.vectorization(func)
Right this is how it's used:
for i in range(1000000):
   y[i] = vec_func(orders, t, powers).prod()
Incredibly slow.
Of course, it is desirable to vectorize it it terms of t. I have tried different methods but still cannot make it work. Any suggestions or ointers?
Thank you. 		 	   		  
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