I moved all of my repositories over to github back around June:
http://twitter.com/#!/kmett/status/16174477854
I should update that link.
-Edward
On Mon, Mar 21, 2011 at 6:02 PM, Carter Schonwald
carter.schonw...@gmail.com wrote:
i'm now seeing that they've been moved to github, never mind!
On Sun, Mar 20, 2011 at 5:46 PM, Tom Nielsen taniel...@gmail.com wrote:
Interval arithmetic is of course not the same as uncertainty, although
computer scientists like to pretend that is the case. (and uncertainty
estimates do not have the be rough.)
Very true.
In general the propagation
PS if you're a scientist and your accuracy estimate is on the same
order as your rounding error, your are doing pretty well :-) At least
in my field...
True enough, but in the case of interval arithmetic I like to be able to
preserve the invariant that if I am working with intervals (even
On Mon, Mar 21, 2011 at 2:42 PM, Edward Amsden eca7...@cs.rit.edu wrote:
So I'm feeling a bit elated that I've sparked my first theoretical
discussion in cafe, though I don't have much to contribute. :\
However in the interests of the original question, I guess I should
clarify.
What we
The danger here is, of course, the side-condition of independence, which can
make inhabitants of that type very difficult to reason about. e.g. x + x and
2*x in that world are very different.
Yes. I was surprised (maybe i shouldn't have been):
sampler = do
x - gauss 0.0 1.0
y - gauss 0.0
by the way, the link to the patch-tag repo for your intervals lib seems to
be dead / patch-tag gets confused,
is it that the link is outdated or that there are problems on patch-tag?
-Carter
On Mon, Mar 21, 2011 at 4:57 PM, Edward Kmett ekm...@gmail.com wrote:
On Mon, Mar 21, 2011 at 2:42 PM,
i'm now seeing that they've been moved to github, never mind!
On Mon, Mar 21, 2011 at 6:01 PM, Carter Schonwald
carter.schonw...@gmail.com wrote:
by the way, the link to the patch-tag repo for your intervals lib seems to
be dead / patch-tag gets confused,
is it that the link is outdated or
On Mon, 21 Mar 2011, Tom Nielsen wrote:
sampler = do
x - gauss 0.0 1.0
y - gauss 0.0 1.0
return $ (2*x, x+y)
main = do
xys - take 10 `fmap` runSamplerIO sampler
print $ runStat
(both (before varF fst) (before varF snd)) $
xys
=
Hi cafe,
I'm looking for a library that provides an instance of Num,
Fractional, Floating, etc, but carries uncertainty values through
calculations. A scan of hackage didn't turn anything up. Does anyone
know of a library like this?
Thanks!
--
Edward Amsden
Student
Computer Science
Rochester
On Sun, 20 Mar 2011, Edward Amsden wrote:
Hi cafe,
I'm looking for a library that provides an instance of Num,
Fractional, Floating, etc, but carries uncertainty values through
calculations. A scan of hackage didn't turn anything up. Does anyone
know of a library like this?
Do you mean
I have a package for interval arithmetic in hackage
http://hackage.haskell.org/package/intervals-0.2.0
However it does not currently properly adjust the floating point rounding
mode so containment isn't perfect.
However, we are actively working on fixing up the Haskell MPFR bindings,
which will
Interval arithmetic is of course not the same as uncertainty, although
computer scientists like to pretend that is the case. (and uncertainty
estimates do not have the be rough.)
In general the propagation of errors depends on whether the errors are
independent or not. The rules are given in
I'm actually a CS undergrad in a physics lab class. I have permission
from my professor to use computer programs for analysis of lab data. I
need to do calculations on data with uncertainty, but uncertainty
analysis on many formulae in physics is rather tedious. I was hoping
for something with
so if you want to do it the quick, easy and approximately correct, why not
just use a monte-carlo monad?
say you have two values x and y, for which you know the means and
standard deviations mx, my, sdx, sdy. and you have a function f(x,y)
that expresses wheat you want to know. so then in the
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