cvs commit: src/lib/msun/src e_lgammaf_r.c
Bruce Evans
bde at zeta.org.au
Tue Nov 29 00:49:22 GMT 2005
On Mon, 28 Nov 2005, Steve Kargl wrote:
> On Mon, Nov 28, 2005 at 11:16:27AM +0100, Andre Oppermann wrote:
>> Bruce Evans wrote:
>>> ...
>>> lib/msun/src e_lgammaf_r.c
>>> Log:
>>> Fixed about 50 million errors of infinity ulps and about 3 million errors
>>> of between 1.0 and 1.8509 ulps for lgammaf(x) with x between -2**-21 and
>>> -2**-70.
>>
>> What is an ULP and are you going to write a paper on how FreeBSD has
>> the best, fastest and most precise msun library of all OSs?
>
> Units in the Last Place.
> http://docs.sun.com/source/806-3568/ncg_goldberg.html
Yes, that is probably the best reference. Knuth is also good. See
also ieee(3) and <float.h>. The expression b**(1-p) (FLT_EPSILON,
etc.) in <float.h> is 1 ulp according to 1 sentence in Knuth, but this
is only 1 ulp for values normalized to be >= 1.0 and < 2.0. Generally,
an ulp is just like FLT_EPSILON, with the epsilon normalized to the
same precision as the value instead of the value normalized to the same
precision as the epsilon.
I don't like writing papers, and rarely read them these days. ISTR
reading the Goldberg one when it was first published not long before
I almost stopped reading many technical paper papers.
Hopefully at least Sun still knows everything in docs.sun.com and has the
most precise if not the fastest libm.
The history of {t,l}gamma's precision is interesting. The old BSD
libm one (actually not so old; it is by McIlroy in {Oct,Nov} 1992)
tries much harder than the (1993) fdlibm one to be precise. We still
use it for tgamma. For lgamma, I think it achieves more precision for
positive args. On negative args, it comments that "all bets are off"
because cases like lgamma(-2.4...) have a result near 0. Such cases
are especially hard to make precise and lgamma's implementation is
especially unsuitable for making them precise (it uses essentially
lgamma(x) = log(f(x)/g(x)) = log(f(x)) - log(g(x)), where f(x) and
g(x) are large, so almost all precision is lost to cancellation when
the difference is small).
Bruce
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