You might want to read up on floating point arithmetic. (rounding and
representation)
On 06/02/14 05:13, Daniel Dickman wrote:
I hit this problem while working with the numpy 1.8.1 regress suite
which has some tests that are currently failing.
Here is a reduced test case of the logaddexp2
Date: Mon, 02 Jun 2014 09:34:20 +0200
From: Benjamin Baier program...@netzbasis.de
You might want to read up on floating point arithmetic. (rounding and
representation)
Well, the difference between 4.994404 and 5.0 is a bit large to blame
rounding and binary representation. And other
Ok i might have been quick to judge, because i don't really trust
floating point arithmetic.
btw. exp2f works correct on i386.
On 06/02/14 10:17, Mark Kettenis wrote:
Date: Mon, 02 Jun 2014 09:34:20 +0200
From: Benjamin Baier program...@netzbasis.de
You might want to read up on floating
Date: Mon, 2 Jun 2014 10:17:53 +0200 (CEST)
From: Mark Kettenis mark.kette...@xs4all.nl
Date: Mon, 02 Jun 2014 09:34:20 +0200
From: Benjamin Baier program...@netzbasis.de
You might want to read up on floating point arithmetic. (rounding and
representation)
Well, the difference
Hi Benjamin,
On Mon, Jun 2, 2014 at 3:34 AM, Benjamin Baier program...@netzbasis.de wrote:
You might want to read up on floating point arithmetic. (rounding and
representation)
The error in floating point calculations is typically measured in
ulps. The error shown in this example is far too
On Mon, Jun 2, 2014 at 5:33 AM, Mark Kettenis mark.kette...@xs4all.nl wrote:
Date: Mon, 2 Jun 2014 10:17:53 +0200 (CEST)
From: Mark Kettenis mark.kette...@xs4all.nl
Date: Mon, 02 Jun 2014 09:34:20 +0200
From: Benjamin Baier program...@netzbasis.de
You might want to read up on floating
On 6/2/14, Mark Kettenis mark.kette...@xs4all.nl wrote:
Date: Mon, 2 Jun 2014 10:17:53 +0200 (CEST)
From: Mark Kettenis mark.kette...@xs4all.nl
Date: Mon, 02 Jun 2014 09:34:20 +0200
From: Benjamin Baier program...@netzbasis.de
You might want to read up on floating point arithmetic.
