Hi,
Spatial hashes are the common solution.
Another common optimization is using the distance squared for
collision detection. Since you do not need the expensive sqrt for
this calc.
cu.
On Mon, Jan 10, 2011 at 3:25 PM, Pascal wrote:
> Hi,
>
> On 01/10/2011 09:09 AM, EMMEL Thomas wrote:
>>
Hi,
On 01/10/2011 09:09 AM, EMMEL Thomas wrote:
>
> No I didn't, due to the fact that these values are coordinates in 3D (x,y,z).
> In fact I work with a list/array/tuple of arrays with 10 to 1M of
> elements or more.
> What I need to do is to calculate the distance of each of these elements
Hey back...
> >
> #~
> ~
> ~~~
> > def bruteForceSearch(points, point):
> >
> > minpt = min([(vec2Norm(pt, point), pt, i)
> > for i, pt in enumerate(points)], key=itemgetter(0))
> > return sqrt(minpt[0]), m
Hey,
On Mon, 2011-01-10 at 08:09 +, EMMEL Thomas wrote:
> #~
> def bruteForceSearch(points, point):
>
> minpt = min([(vec2Norm(pt, point), pt, i)
> for i, pt in enumerate(points)], key=itemgetter(0))
On Mon, Jan 10, 2011 at 5:09 PM, EMMEL Thomas wrote:
> To John:
>
>> Did you try larger arrays/tuples? I would guess that makes a significant
>> difference.
>
> No I didn't, due to the fact that these values are coordinates in 3D (x,y,z).
> In fact I work with a list/array/tuple of arrays with 100
To John:
> Did you try larger arrays/tuples? I would guess that makes a significant
> difference.
No I didn't, due to the fact that these values are coordinates in 3D (x,y,z).
In fact I work with a list/array/tuple of arrays with 10 to 1M of elements
or more.
What I need to do is to calculat
On Fri, Jan 7, 2011 at 9:58 AM, EMMEL Thomas wrote:
> Hi,
>
> There are some discussions on the speed of numpy compared to Numeric in
> this list, however I have a topic
> I don't understand in detail, maybe someone can enlighten me...
> I use python 2.6 on a SuSE installation and test this:
>
>
Did you try larger arrays/tuples? I would guess that makes a significant
difference.
On Fri, Jan 7, 2011 at 7:58 AM, EMMEL Thomas wrote:
> Hi,
>
> There are some discussions on the speed of numpy compared to Numeric in
> this list, however I have a topic
> I don't understand in detail, maybe so
Hi,
There are some discussions on the speed of numpy compared to Numeric in this
list, however I have a topic
I don't understand in detail, maybe someone can enlighten me...
I use python 2.6 on a SuSE installation and test this:
#Python 2.6 (r26:66714, Mar 30 2010, 00:29:28)
#[GCC 4.3.2 [gcc-4_3
