On Sun, 24 Aug 2008 23:49:45 -0600, Charles R Harris wrote:
> On Sun, Aug 24, 2008 at 9:48 PM, Daniel Lenski <[EMAIL PROTECTED]>
> wrote:
>
>> Hi all,
>> I need to take the determinants of a large number of 3x3 matrices, in
>> order to determine for each of N points, in which of M tetrahedral
>>
On Sun, Aug 24, 2008 at 9:48 PM, Daniel Lenski <[EMAIL PROTECTED]> wrote:
> Hi all,
> I need to take the determinants of a large number of 3x3 matrices, in
> order to determine for each of N points, in which of M tetrahedral cells
> they lie. I arrange the matrices in an ndarray of shape (N,M,5,3
2008/8/25 Daniel Lenski <[EMAIL PROTECTED]>:
> On Mon, 25 Aug 2008 03:48:54 +, Daniel Lenski wrote:
>> * it's fast enough for 100,000 determinants, but it bogs due to
>> all the temporary arrays when I try to do 1,000,000 determinants
>> (=72 MB array)
>
> I've managed to reduce the m
On Mon, 25 Aug 2008 03:48:54 +, Daniel Lenski wrote:
> * it's fast enough for 100,000 determinants, but it bogs due to
> all the temporary arrays when I try to do 1,000,000 determinants
> (=72 MB array)
I've managed to reduce the memory usage significantly by getting the
number of t
Hi all,
I need to take the determinants of a large number of 3x3 matrices, in
order to determine for each of N points, in which of M tetrahedral cells
they lie. I arrange the matrices in an ndarray of shape (N,M,5,3,3).
As far as I can tell, Numpy doesn't have a function to do determinants
ove
