[Numpy-discussion] 3D array problem in Python
oc-spam66 at laposte.net
Sun Dec 30 07:13:18 EST 2012
> val11[i][j], val22[i][j] = integrate.quad(lambda x: F1(x)*F2(x), 0, pi)
> But, this calculation takes so long time, let's say about 1 hour
> (theoretically)... Is there any better way to easily and fast calculate
> the process such as [ F( i ) for i in xlist ] or something like that
> rather than using for loop?
* What are F1() and F2()? Do they depend on anything else than 'x'?
Maybe you meant Fi() and Fj(). In that case, can you benefit of a
* It's likely that all the computing time is in the "integrate"
operation (check it with a profiler? %prun under ipython for example).
In this situation, there's no improvement possible, apart from using a
simpler function than integrate() that might be vectorized (this depends
on the definition of Fi())
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