Every single one of your students really uses ubuntu? Also note that the
ppa version of Julia is less capable than the generic binaries at dealing
with arrays that are larger than 2 GB. If you would like to see the ubuntu
PPA continue to be available, someone needs to volunteer to put the work
You can also try to use the pseudo-inverse $A^{+}$ in LaTeX. It is also
called the Moore-Penrose inverse.
In this case (with variable names in thread and `AP` used for the inverse)
it is:
AP = A'*inv(A*A')
And then we have ('x' is the solution to the equations):
x = AP*v
and as it should be
Agree.
On Saturday, July 16, 2016 at 8:40:18 AM UTC+8, Uwe Fechner wrote:
>
> Well, you can always pin a version. See:
> https://help.ubuntu.com/community/PinningHowto
>
> For me, using Ubuntu packages is the easiest way to go, in particular if I
> have to explain students how
> to install Juli
Thanks again, seams to be working. Will test it more tomorrow.
sábado, 16 de Julho de 2016 às 02:42:56 UTC+1, Chris Rackauckas escreveu:
>
> Oh, I guess it's just with most of the Base types you can do that (they
> must have internal constructors for it). The convert issue comes up because
> you
>
> D() = new(Array{Float64,2}(),string())
>
> (or anything like that). Since your Type is not mutable, you can just
> overwrite what you put in there.
>
I meant because it's not immutable. If it was immutable, this won't exactly
work because you won't be able to replace the string (though you
Oh, I guess it's just with most of the Base types you can do that (they
must have internal constructors for it). The convert issue comes up because
you have type checks on your fields, i.e. ::Type, otherwise you could just
make an internal constructor which calls new(nothing,nothing). No sweat,
Thanks. Didn't know one could create empty types,, but is it a 0.5 feature.
Because on 0.4
julia> Di=D()
ERROR: MethodError: `convert` has no method matching convert(::Type{D})
This may have arisen from a call to the constructor D(...),
since type constructors fall back to convert methods.
sáb
Well, you just made the type D, so you can make Array{D,n} or anything else
like that. The Base types are not special in Julia, anywhere you can use a
type, you can use your own.
You can create an empty form of your type via dinstance = D(). You can then
add to it by setting dinstance.data = so
Hi,
I need to mimic what in Matlab is called a struct matrix. e.g.
>> D=struct('data',{rand(2,2);rand(2,2)},'text',{'aa';'bb'})
D =
2x1 struct array with fields:
data
text
in MEX I would use (and actually that's what I do in the C MEX code that
I'm trying to port)
mxCreateStructMa
Well, you can always pin a version. See:
https://help.ubuntu.com/community/PinningHowto
For me, using Ubuntu packages is the easiest way to go, in particular if I
have to explain students how
to install Julia.
Uwe
On Friday, July 15, 2016 at 10:16:59 PM UTC+2, Tony Kelman wrote:
>
> The ppa i
Yes, thanks for that Tim.
I can see that now.
That's a nice workaround.
Yes, thanks for that Tim.
I can see that now.
That's a nice workaround.
While it certainly would be ideal to always get perfect feedback on issues,
it should be taken into account that Julia is a large piece of software and
that only finite resources are working on it.
Regarding when to release I think the core team just makes it right. During
0.3 we had effective
Turns out that it actually did fix the error, but i was too tired and
confused things.
BUT the components of the fractions were a lot too large.
A Gauß-algorithm should have returned very managable fractions, not
fractions of 300-decimal-place-numbers by 300-decimal-place-numbers.
I suspect this
Unfortunately, switching to Rational{BigInt} did not help. same error :(
I'm looking for type instabilities in a function with code_warntype, and I'm
seeing lots of ``(Base.box)`` terms there.
What do these mean? And should I be worried, i.e. is this an indication that
something slow might be going on?
--
David Anthoff
University of California, Berkeley
ht
The thing is, i did not write that i need an exact integer solution because
i don't like approximation, but because i am working in N^n and rounding
can cause catastrophically false results. The matrices i am working on are,
however, not all that big (i would guess absolute max 30x100, usually m
The ppa is barely maintained. nightlies have not been working very well at all,
and I wouldn't expect to see 0.5 packaged very rapidly in juliareleases. Not
everyone uses ubuntu, and doing that packaging is effort that is better spent
elsewhere. The counterpoint of automatic updates is that you
The thing is, i did not write that i need an exact integer solution because
i don't like approximation, but because i am working in N^n and rounding
can cause catastrophically false results. The matrices i am working on are,
however, not all that big (i would guess absolute max 30x100, usually m
On Fri, Jul 15, 2016 at 2:42 PM, David Anthoff wrote:
>
> These are all performance regressions, and they can be a nuisance for some
> but blocking for others, and then it probably comes down to how many users
> there are in each category (or what e.g. the paying customers want). I
> would encour
I think they're doing it the proper way given the way the package ecosystem
works. People who are really involved in the language really need a release
candidate to test packages against. Deprecations need to be worked out, all
the bugs need to be fixed, and some of the software structures need
You're not going to get good runtimes with this if you're using Rationals.
Each time a command is done, it needs to reduce the fraction. If you're
working with small examples like you show here, then yes this can be
worthwhile. However, even with good programming I don't think would scale
to so
On Fri, 2016-07-15 at 20:47, Kurolong wrote:
> Hey Guys and Gals ^^
> I'm having trouble with Julia. Maybe one of you can help me out
> The program i am writing requires the linear-equation-system-solver(command
> "\") in the folder "Julia-0.4.5\share\julia\base\linalg".
> Now my problem is that
Hey Guys and Gals ^^
I'm having trouble with Julia. Maybe one of you can help me out
The program i am writing requires the linear-equation-system-solver(command
"\") in the folder "Julia-0.4.5\share\julia\base\linalg".
Now my problem is that i need the equation solved strictly on integers, an
a
Yeah, I think this just comes down to different needs. I would prefer to see a
more extended period between feature freeze and RC that is used to clean up
performance problems and some of the things that are currently assigned to the
0.5.x milestone or have the regressions label. Some of the iss
Well, the ppa is up-to-date and works well.
On Ubuntu a ppa is (nearly) always better than generic binaries, because
the package manager can be used to keep Julia up-to-date.
Only if a ppa is not maintained generic binaries are an alternative.
Uwe
Am 15.07.2016 um 19:37 schrieb Tony Kelman:
> T
On Fri, Jul 15, 2016 at 1:18 PM, Phil_n wrote:
> How do I invoke help on a certain function in a package? That is I would
> like an explanatory text of how to use a certain function in a package.
>
> For example: I would like to know how to use the function rotationmatrix in
> package Quaternions
There does not seem to be a help() function in Julia
On Friday, July 15, 2016 at 7:18:11 PM UTC+2, Phil_n wrote:
>
> How do I invoke help on a certain function in a package? That is I would
> like an explanatory text of how to use a certain function in a package.
>
> For example: I would like to
In that case the reference to the PPA should probably be removed from
http://julialang.org/downloads/platform.html and the bottom of the README.md.
On the other hand, the juliareleases under staticfloat seems to be up-to-date...
> -Original Message-
> From: julia-users@googlegroups.com [
The PPA is deprecated and not actively maintianed. Use the generic Linux
binaries. Download and extract the tarball, then run bin/julia.
How do I invoke help on a certain function in a package? That is I would
like an explanatory text of how to use a certain function in a package.
For example: I would like to know how to use the function rotationmatrix
in package Quaternions
On Fri, 2016-07-15 at 17:52, Chris Rackauckas wrote:
> Thanks for pointing that out. Never heard about that one. It seems like its
> been dead for quite awhile and they haven't answered any issues in almost a
> year, and haven't committed in 8 months? If anyone is on that project,
> please join th
https://en.wikipedia.org/wiki/Software_release_life_cycle#Release_candidate:
A release candidate (RC) is a beta version with potential to be a final
> product, which is ready to release unless significant bugs emerge. In this
> stage of product stabilization, all product features have been designe
Which Ubuntu version do you have?
There is no problem for me on 14.04, 64bit.
Have a look in the folder:
/etc/apt/sources.list.d
Perhaps you find there a file containing the name
|julianightlies ? If so, delete it and try again. Uwe |
On 15.07.2016 17:21, Ahmed Mazari wrote:
> yes but it inst
Thanks for pointing that out. Never heard about that one. It seems like its
been dead for quite awhile and they haven't answered any issues in almost a
year, and haven't committed in 8 months? If anyone is on that project,
please join the thread.
I think there are some major differences though.
I don’t think you need the julia-deps thing anymore, it seems all the
dependencies are now part of juliareleases. At least last time I tried this I
didn’t add julia-deps and things worked.
If that is correct, someone should probably update the README/installation
instructions on julialang.or
On Fri, Jul 15, 2016 at 8:03 AM, Jeffrey Sarnoff
wrote:
> ccall( (:convert_from_int, "myClib"), Void, (Ref{ Int }, ), my_int_var )
ccall( ($(QuoteNode(Symbol("convert_from", postfix))), "myClib"),
Void, (Ref{$T}, ), $(Symbol("my_", postfix, "_var"))
yes but it installs the version 0.5
On Fri, Jul 15, 2016 at 4:39 PM, Uwe Fechner
wrote:
> Did you try:
>
> sudo add-apt-repository ppa:staticfloat/juliareleases
>
> sudo add-apt-repository ppa:staticfloat/julia-deps
>
> sudo apt-get update
>
> sudo apt-get install julia
>
>
> You need to have t
Did you try:
sudo add-apt-repository ppa:staticfloat/juliareleases
sudo add-apt-repository ppa:staticfloat/julia-deps
sudo apt-get update
sudo apt-get install julia
You need to have the correct ppa enabled!
Uwe
On Friday, July 15, 2016 at 3:49:04 PM UTC+2, Ahmed Mazari wrote:
>
> How to i
How to install julia 0.4.6 in ubuntu ?
l tried
sudo apt-get install julia=v0.4.6 but it's not working
On Sunday, May 22, 2016 at 12:27:37 PM UTC+2, Nils Gudat wrote:
>
> Slightly stupid question from someone who is forced to use Linux on a
> server: how can I get the latest stable version as o
Thanks, that's very helpful!
David
On 15 July 2016 at 09:00, Tim Holy wrote:
> julia> c = [Dict("a"=>1), Dict("b"=>2)]
> 2-element Array{Dict{ASCIIString,Int64},1}:
> Dict("a"=>1)
> Dict("b"=>2)
>
> julia> myfunc(c)
> ERROR: MethodError: `myfunc` has no method matching
> myfunc(::Array{Dict{A
I need a refresher on how to do this:
for (T, postfix) in ((:Int, :int), (:Float64, :fp))
@eval ccall( ___ )
end
# so Julia sees
ccall( (:convert_from_int, "myClib"), Void, (Ref{ Int }, ), my_int_var )
ccall( (:convert_from_fp, "myClib"), Void, (Ref{ Float64 }, ), my_fp_var )
thank
It seems to me that it is the same terminology (RC) as *Battle for Wesnoth.*
On Friday, July 15, 2016 at 10:37:19 AM UTC+2, Scott Jones wrote:
>
> I agree, and it does seem there is a bit of a problem with the
> nomenclature that the Julia team is using, which doesn't match industry
> wide pract
I agree, and it does seem there is a bit of a problem with the nomenclature
that the Julia team is using, which doesn't match industry wide practice.
At least the first Julia release candidate is really just a beta release
(i.e. after a feature freeze and branch off of current development), as it
Hi Madeleine,
Is there any chance you have two versions of julia installed, and are running
the wrong one? (Confession: I make that mistake surprisingly frequently!) The
reason I ask is that on current master:
julia> methodswith(Array, kron)
0-element Array{Method,1}
In master (which is what y
julia> c = [Dict("a"=>1), Dict("b"=>2)]
2-element Array{Dict{ASCIIString,Int64},1}:
Dict("a"=>1)
Dict("b"=>2)
julia> myfunc(c)
ERROR: MethodError: `myfunc` has no method matching
myfunc(::Array{Dict{ASCIIString,Int64},1})
Here, Julia is complaining that your argument is too-well typed :-). (Se
On Thu, 2016-07-14 at 22:53, Madeleine Udell wrote:
> Convex.jl defines an abstract type AbstractExpr, from which all important
> concrete types in the package are descended. We've defined a bunch of
> functions that allow users to treat AbstractExprs as though they were
> matrices: indexing, hcat
There is https://github.com/MatlabCompat/MatlabCompat.jl, which seems to
have a similar aim (although sans R/Python support). Maybe join forces?
On Fri, 2016-07-15 at 01:34, Chris Rackauckas wrote:
> Hey,
> After some discussion (and letting the idea hang around for a long time)
> I decided to
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