- Original Message -
From: Robert Bradshaw rober...@math.washington.edu
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
On Mon, Dec 27, 2010 at 6:20 AM, Enzo Michelangeli enzom...@gmail.com wrote:
Many thanks to Josef and Justin for their replies.
Josef's hint sounds like a good way of reducing peak memory allocation
especially when the row size is large, which makes the for overhead for
each iteration
- Original Message -
From: Justin Peel jpsc...@gmail.com
To: Discussion of Numerical Python numpy-discussion@scipy.org
Sent: Monday, December 27, 2010 2:51 PM
Subject: Re: [Numpy-discussion] Optimization suggestion sought
On Sun, Dec 26, 2010 at 7:34 AM, josef.p...@gmail.com wrote:
On Sun, Dec 26
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
On Sun, Dec 26, 2010 at 3:51 AM, Enzo Michelangeli enzom...@gmail.com wrote:
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
On Sun, Dec 26, 2010 at 7:34 AM, josef.p...@gmail.com wrote:
On Sun, Dec 26, 2010 at 3:51 AM, Enzo Michelangeli enzom...@gmail.com wrote:
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]
