Hello!
did you managed to plot big data sets? You can try to use my small package
for this ( https://github.com/ig-or/qwtwplot.jl ) - it's very interesting
for me how it can handle big data sets.
Best regards, Igor
четверг, 16 июня 2016 г., 0:08:42 UTC+3 пользователь CrocoDuck O&
Chris, thank you for the information!!
21 сент. 2016 г. 23:07 пользователь "Chris Rackauckas"
написал:
> Usually I'm plotting the run from really long differential equations
> solution. The one I am mentioning is from a really long stochastic
> differential equation solution (publication coming
Hello everybody!
How is it possible to write something in array from "for" loop? I have
following code:
t = Array(Float64, 3, 4)
for i = 1:3,
t[i, :] = [1., 2., 3., 4.]
end
But after this, all the elements inside "t" are equal to "4". How to make
them "1 2 3 4" ?
Best regards, Igor.
think that maybe I could make a "package" from it
and it may be useful for others.
Best regards, Igor
PATH to include those dependencies?
There are a lot of disadvantages of course - for example it will be the
package for some particular platform only.
Best regards, Igor
o read its description before the installation.
It is based on underlying "C" library, which I used to use for data
analysis for many years, but now I tried to make a Julia package out of it.
I'm new to github, so your comments will be very appreciated.
Best regards, Igor
Henry,
thank you very much for your input. It looks like that all the errors are
because if my using Uint8 instead UInt8; I fixed this and you can make
another try now.
>
>
Henry,
I'll try to add this.
Best regards, Igor
четверг, 25 августа 2016 г., 14:04:28 UTC+3 пользователь Henri Girard
написал:
>
> Hi,
> I tried compiling it on ubuntu xenial 16.04, following your description,
> it works fine. I would like to have it being a
Thanks Henri! I will install julia 0.5 rc3 and use it for my internal
testing. Before I worked on version 4
>
C" library.
So you can update everything if you are going to use this package more.
Best regards, Igor
пятница, 26 августа 2016 г., 9:50:27 UTC+3 пользователь Henri Girard
написал:
>
> Your welcome !
>
> I am wondering : As I use jupyter notebook is there a way to get the
&
bal Metadata:
https://github.com/JuliaLang/METADATA.jl/pull/6191
Best regards, Igor
пятница, 26 августа 2016 г., 14:16:20 UTC+3 пользователь Henri Girard
написал:
>
> Thanks, I am updating. For julia jupyter is IJulia. Just Pkg.add("IJulia")
> will install it. They are devel
Tom, thanks for the question; I created a list of (what I think are)
"killer features" here: https://github.com/ig-or/qwtwplot.jl/wiki/features
Best regards, Igor
среда, 31 августа 2016 г., 16:05:23 UTC+3 пользователь Tom Breloff написал:
>
> Hi Igor... any idea how your pac
Oups...looks like I'll have to change package name one more time. It
should start with an upper case letter.
среда, 31 августа 2016 г., 19:00:08 UTC+3 пользователь Igor написал:
>
> Tom, thanks for the question; I created a list of (what I think are)
> "killer fe
та 2016 г., 19:27:34 UTC+3 пользователь Igor написал:
>
> Oups...looks like I'll have to change package name one more time. It
> should start with an upper case letter.
>
>
>
> среда, 31 августа 2016 г., 19:00:08 UTC+3 пользователь Igor написал:
>>
>> Tom,
Thanks for this notice. "Invalid marble path" warning should be fixed in
current "master". I'll look at other warnings, but this may be not so easy.
Best regards, Igor
06.09.2016 11:43 пользователь "Henri Girard"
написал:
> Thanks... Much better (quicke
Chris , I'm interested in this area too. Please post here if you come up with
some solution you would like.
Best regards, Igor
I tried this plugin, it works great job. I hope that after some time
it will be even better. Currently, I find JUNO more convenient and faster.
Hello,
Calling compiled Julia 0.5 code from C++ (MSVS15) from multiple threads a
code that follows fails.
Consider following example under WIN using Julia 0.5:
#include
#include
#include "julia.h"
//@Base.ccallable Int64 jl_foo(x::Int64) = (x + 1)
void TestJl()
{
jl_options.compile_enabled
Thanks for quick answer.
Is there a best practice to achieve similar behavior - calling compiled
Julia code in parallel?
Hello,
Julia 0.5 crashes when loading previously saved data using JLD; code below
shows a simple example, that causes crash:
using JLD
type foo
a::Int
b::String
end
f = foo(1, "a")
save("d:/work/Julia/data.jld", "f", f)
l = load("d:/work/Julia/data.jld", "f") # crashes here
however, everyt
I've also submitted an issue to JLD, and the problem is originally
addressed here: https://github.com/JuliaIO/JLD.jl/issues/103
On Tuesday, 8 November 2016 14:50:49 UTC+1, Igor Cerovsky wrote:
>
> Hello,
>
> Julia 0.5 crashes when loading previously saved data using JLD; code
I have recently installed (then re-installed) Julia 0.3.11, and I am having
problems with packages. Should I be concerned?
*_*
*_** _ **_**(_)**_** | A fresh approach to technical
computing*
*(_)** | **(_)* *(_)**| Documentation: http://docs.julialang.or
Hello,
Does Julia supports delegating constructors similar to c++11? If yes, what
is a syntax? Thanks.
// c++ code
class class_a {
public:
class_a() {}
class_a(string str) : m_string{ str } {}
class_a(string str, double dbl) : m_string{ str }, m_double{ dbl } {}
double m_double;
str
Hello,
Trying to write documentation according to Julia manual I've found
following reversed order of methods for given function; is that a bug?:
"""
foo()
I'm major foo...
"""
function foo()
end
"
foo(x)
Here comes additional doc...
"
function foo(x)
end
resulting documentati
JuliaLang/julia/pull/15266,
> to the definition order of the docstrings, which should be much
> less surprising.
>
> — Mike
> On Thursday, 12 May 2016 10:23:16 UTC+2, Igor Cerovsky wrote:
>>
>> Hello,
>>
>> Trying to write documentation according to Julia m
What exactly the difference between:
function foo{T<:AbstractType}(x::T) = ...
and
function foo(x::AbstractType) = ... ?
Is any difference at all? The "tips" section of the docs says the second is
preferred. If they are the same, why first syntax? I can imagine that I can
benefit if I have sever
ce is 3.6 times better (number of allocations is also large)? I'm
using Julia 0.4.3
Thank you,
Igor
Fri, Mar 18, 2016 at 8:50 AM, Igor Cerovsky > wrote:
>
>> Hello,
>>
>> By writing a code for unit normal scaling I've found a big differences
>> related to where a function used in broadcast is defined, *globally* vs*
>> locally*. Consider function
Hi,
Trying to write custom and using BLAS functions implementation of
Gram-Schmidt algorithm I got more than 2-times slower performance for Julia
0.4.3 on my computer Intel i7 6700HQ (on older processor i7 5500 the
performance gain is 1.2-times). The code below is a bit longer, but I got
the s
Thanks Steven, I've thought there is something more behind...
I shall note that that I forgot to mention matrix dimensions, which is 1000
x 1000.
On Monday, 21 March 2016 10:48:33 UTC+1, Steven G. Johnson wrote:
>
> You need a lot more than just fast loops to match the performance of an
> optim
mistuned.
>
> On Mon, Mar 21, 2016 at 5:58 AM, Igor Cerovsky > wrote:
>
>> Thanks Steven, I've thought there is something more behind...
>>
>> I shall note that that I forgot to mention matrix dimensions, which is
>> 1000 x 1000.
>>
>> On Monday,
to be accepted,
> unless to really look into the details (generated assembler code,
> measure cache misses, introduce manual vectorization and loop
> unrolling, etc.) And you'll have to repeat that analysis if you're
> using a different system.
>
> -erik
>
> On
trying to figure out why?
On Tuesday, 22 March 2016 15:43:18 UTC+1, Erik Schnetter wrote:
>
> On Tue, Mar 22, 2016 at 4:36 AM, Igor Cerovsky
> > wrote:
> > The factor ~20% I've mentioned just because it is something what I've
> > commonly observed, and
version. I'd be happy to have a quick glance at it if you create a
> listing (with `@code_native`) and e.g. put it up as a gist
> . I'd also need your CPU type (`versioninfo()` in
> Julia, plus `cat /proc/cpuinfo` under Linux). No promises, though.
>
> -erik
>
> On Wed, Mar 23
: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.3
Igor
On Wednesday, 23 March 2016 16:05:20 UTC+1, Erik Schnetter wrote:
>
> I was using a "CPU: Intel(R) Core(TM) i7-4980HQ CPU @ 2.80GHz".
>
> -erik
>
> On Wed, Mar 23, 2016 at 10:53 AM, Igor Cerovsky
> &
I cannot find ymm instuctions in the assembly code. Does
LLVM libLLVM-3.3 supports AVX2 instruction set?
r by a factor of two.
> >
> > You can try a newer version of Julia (0.4.5?) that should build
> > against LLVM 3.7.1 instead of LLVM 3.3.
>
> IIRC the 0.4.* binaries should be built with llvm 3.3.
>
> >
> > -erik
> >
> > On Thu, Mar 24, 2016 at 8
Hi,
By exploring Julia I'm curios what would be a best way to implement
strategy design pattern in Julia. I'm posting a C++ example, for which I
would like to write equivalent in Julia.
Thanks.
#include
#include
#include
template
void foo_t(const T& t)
{
std::cout << "I'm using foo_t... \
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