For a pivoted algorithm, I have to perform an operation that in fully
vectorized form can be expressed as:
pivot = tableau[locat,:]/tableau[locat,cand]
tableau -= tableau[:,cand:cand+1]*pivot
tableau[locat,:] = pivot
tableau is a rather large bidimensional array, and I'd like to avoid
4b433fbf94fa137eaa5ee69a06987eda\Release\docume~1\admin\locals~1\temp\admin\python26_compiled\sc_c9159c98b571d3181d8848337bf1e50a1.o"
failed with exit status 1
\--
So, for the time being, no speed breakthrough...
Enzo
- Original Mes
- Original Message -
From: "Robert Bradshaw"
Sent: Wednesday, December 29, 2010 4:47 PM
[...]
>> Regarding Justin's suggestion, before trying Cython (which, according to
>> http://wiki.cython.org/tutorials/numpy , seems to require a bit of work
>> to
>> handle numpy arrays properly)
>
>
Is there any way, not involving compilation of C code, to define ndarrays
where some rows or columns share the same data buffers? For example,
something built by a hypothetical variant of the np.repeat() function, such
that, if a = array([2,3]), calling:
b = np.aliasedrepeat(x, [1, 2], axis=0
s the intended savings in memory and CPU
cycles...
Enzo
- Original Message -
From: "Robert Kern"
To: "Discussion of Numerical Python"
Sent: Sunday, January 02, 2011 10:08 AM
Subject: Re: [Numpy-discussion] Arrays with aliased elements?
> On Sat, Jan 1, 2011 at
