I found and fixed the problem. I had performed a distance computation of all
point to all points. My points included a query point and I needed to set
its distance to something large. So I did distances[query_point] = 1e308; ts
= distances / band_width; x = ts * ts and got the overflow, which makes
On Sun, Jul 10, 2011 at 8:26 PM, Roy Lowrance wrote:
> I have a 1D float64 array ts. I want to square each element, so I compute
> x = ts * ts
>
> I get a floating point overflow error.
>
> However, when I access each element separately and multiple, I get no
> error:
> for i in ts.shape[0]:
>
I have a 1D float64 array ts. I want to square each element, so I compute
x = ts * ts
I get a floating point overflow error.
However, when I access each element separately and multiple, I get no error:
for i in ts.shape[0]:
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