From clement.david at scilab-enterprises.com  Mon Feb  2 09:13:32 2015
From: clement.david at scilab-enterprises.com (=?ISO-8859-1?Q?Cl=E9ment?= David)
Date: Mon, 02 Feb 2015 09:13:32 +0100
Subject: [Scilab-users] [Fwd: [Swig-devel] Announce - swig-3.0.5] SWIG now
	support Scilab
Message-ID: <1422864812.2208.5.camel@scilab-enterprises.com>

Hello all,

For people interested in mapping C / C++ functions to Scilab, SWIG can
now be used to generate the Scilab gateways.

Do not hesitate to test and report bugs !

--
Cl?ment
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From posti85 at o2.pl  Tue Feb  3 19:35:02 2015
From: posti85 at o2.pl (=?UTF-8?Q?Pawe=C5=82_Postek?=)
Date: Tue, 03 Feb 2015 19:35:02 +0100
Subject: [Scilab-users] =?utf-8?q?Help_about_Scilab?=
Message-ID: <2bd432a8.6d85e034.54d114d6.d4f6c@o2.pl>

 Hello.
My name is Pawel and i have a big problem. I have a code in matlab witch use nchoosek function.
for n = 5
for m = (1:n)
c = nchoosek (n,m)
end
end
I need to convert this code to Scilab.
I'm trying to do this, but I fail.
If anyone could help me?
Thank you
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From serge.steer at inria.fr  Wed Feb  4 09:37:58 2015
From: serge.steer at inria.fr (Serge Steer)
Date: Wed, 4 Feb 2015 09:37:58 +0100 (CET)
Subject: [Scilab-users] Help about Scilab
In-Reply-To: <2bd432a8.6d85e034.54d114d6.d4f6c@o2.pl>
References: <2bd432a8.6d85e034.54d114d6.d4f6c@o2.pl>
Message-ID: <1803653643.37708417.1423039078280.JavaMail.zimbra@inria.fr>

please see 
http://svn.forge.scilab.org/docintrodiscrprobas/en_US/introdiscreteprobas/scripts/nchoosek.sci 
Serge Steer 

----- Mail original -----

> De: "Pawe? Postek" <posti85 at o2.pl>
> ?: users at lists.scilab.org
> Envoy?: Mardi 3 F?vrier 2015 19:35:02
> Objet: [Scilab-users] Help about Scilab

> Hello.

> My name is Pawel and i have a big problem. I have a code in matlab witch use
> nchoosek function.

> for n = 5
> for m = (1:n)
> c = nchoosek (n,m)
> end
> end

> I need to convert this code to Scilab.
> I'm trying to do this, but I fail.
> If anyone could help me?

> Thank you

> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users
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From Christophe.Dang at sidel.com  Wed Feb  4 09:48:57 2015
From: Christophe.Dang at sidel.com (Dang, Christophe)
Date: Wed, 4 Feb 2015 08:48:57 +0000
Subject: [Scilab-users] Help about Scilab
In-Reply-To: <2bd432a8.6d85e034.54d114d6.d4f6c@o2.pl>
References: <2bd432a8.6d85e034.54d114d6.d4f6c@o2.pl>
Message-ID: <AMSPR07MB2092CBC2B27471DBE856453E53A0@AMSPR07MB209.eurprd07.prod.outlook.com>

Hello,

> De : Pawel Postek
> Envoy? : mardi 3 f?vrier 2015 19:35
>
> c = nchoosek (n,m)
> I need to convert this code to Scilab.
> I'm trying to do this, but I fail.

The Mathworks page tells me that nchoosek () computes the binomial coefficient.

I suggest you read /Introduction to discrete probabilities in Scilab/

http://www.scilab.org/content/download/248/1706/file/introdiscreteprobas.pdf

section 2.10 " Computing combinations with Scilab" (p. 24-25) says

"There is no Scilab function to compute the binomial number"

And give the following solution :

// combinations --
// Returns the number of combinations of j objects chosen from n objects .
function c = combinations ( n , j )
c = exp( gammaln (n+1) - gammaln (j+1) - gammaln (n-j +1));
// If the input where integers , returns also an integer .
if ( and( round (n)==n) & and( round (j)==j) ) then
b = round ( b )
end
endfunction

Best regards

--
Christophe Dang Ngoc Chan
Mechanical calculation engineer
This e-mail may contain confidential and/or privileged information. If you are not the intended recipient (or have received this e-mail in error), please notify the sender immediately and destroy this e-mail. Any unauthorized copying, disclosure or distribution of the material in this e-mail is strictly forbidden.

From pierre-aime.agnel at scilab-enterprises.com  Wed Feb  4 12:07:11 2015
From: pierre-aime.agnel at scilab-enterprises.com (=?UTF-8?B?UGllcnJlLUFpbcOpIEFnbmVs?=)
Date: Wed, 04 Feb 2015 12:07:11 +0100
Subject: [Scilab-users] Help about Scilab
In-Reply-To: <1803653643.37708417.1423039078280.JavaMail.zimbra@inria.fr>
References: <2bd432a8.6d85e034.54d114d6.d4f6c@o2.pl>
 <1803653643.37708417.1423039078280.JavaMail.zimbra@inria.fr>
Message-ID: <54D1FD5F.8080803@scilab-enterprises.com>

Hello,

You might be interested in installing the "specfun 
<http://atoms.scilab.org/toolboxes/specfun>" ATOMS module(

atomsInstall('specfun')

The implementation given by Serge is inside the module and can be called 
with
n = 5;
m = 0:n;
c = specfun_nchoosek(n, m)

You will obtain all the binomial coefficientsin a row vector.

Once loaded you can check other helpful functions with
help("Specfun Toolbox")

Best,

Le 04/02/2015 09:37, Serge Steer a ?crit :
> please see
> http://svn.forge.scilab.org/docintrodiscrprobas/en_US/introdiscreteprobas/scripts/nchoosek.sci
> Serge Steer
>
> ------------------------------------------------------------------------
>
>     *De: *"Pawe? Postek" <posti85 at o2.pl>
>     *?: *users at lists.scilab.org
>     *Envoy?: *Mardi 3 F?vrier 2015 19:35:02
>     *Objet: *[Scilab-users] Help about Scilab
>
>     Hello.
>
>     My name is Pawel and i have a big problem. I have a code in matlab
>     witch use nchoosek function.
>
>     for n = 5
>     for m = (1:n)
>     c = nchoosek (n,m)
>     end
>     end
>
>     I need to convert this code to Scilab.
>     I'm trying to do this, but I fail.
>     If anyone could help me?
>
>     Thank you
>
>     _______________________________________________
>     users mailing list
>     users at lists.scilab.org
>     http://lists.scilab.org/mailman/listinfo/users
>
>
>
>
> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users

-- 
Pierre-Aim? Agnel
R&D Projects Manager
Phone:  +33.1.80.77.04.67
Mobile: +33.6.82.49.35.23
-----------------------------------------------------------
Scilab Enterprises
143bis rue Yves Le Coz - 78000 Versailles, France
Phone: +33.1.80.77.04.68
http://www.scilab-enterprises.com

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From sgougeon at free.fr  Thu Feb  5 01:17:25 2015
From: sgougeon at free.fr (Samuel Gougeon)
Date: Thu, 05 Feb 2015 01:17:25 +0100
Subject: [Scilab-users] Help about Scilab
In-Reply-To: <54D1FD5F.8080803@scilab-enterprises.com>
References: <2bd432a8.6d85e034.54d114d6.d4f6c@o2.pl>
 <1803653643.37708417.1423039078280.JavaMail.zimbra@inria.fr>
 <54D1FD5F.8080803@scilab-enterprises.com>
Message-ID: <54D2B695.7030700@free.fr>

Hello,

Le 04/02/2015 12:07, Pierre-Aim? Agnel a ?crit :
> Hello,
>
> You might be interested in installing the "specfun 
> <http://atoms.scilab.org/toolboxes/specfun>" ATOMS module(
>
> atomsInstall('specfun')
>
> The implementation given by Serge is inside the module and can be 
> called with
> n = 5;
> m = 0:n;
> c = specfun_nchoosek(n, m)
>
> You will obtain all the binomial coefficientsin a row vector.
>
> Once loaded you can check other helpful functions with
> help("Specfun Toolbox")
>
> Best,
As stated in the long-discussed bug report from which this nchoosek has 
been designed, this function should be transfered in Scilab. It is a 
common function available on almost all basic pocket calculators. It is 
somewhat a non-sense to have to load an external module to get it.

Best regards
Samuel



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From benjaminr1800 at gmail.com  Thu Feb  5 00:17:43 2015
From: benjaminr1800 at gmail.com (Benjamin Rentschler)
Date: Wed, 4 Feb 2015 17:17:43 -0600
Subject: [Scilab-users] License agreement question
Message-ID: <CAJEbnQUdF53ZS_nHNtxi1Vnyms9WRc656fj8aXNr8AsqfpEucA@mail.gmail.com>

To Whom it may Concern,

I was reading through the Scilab licensing agreement for version 5.5.1
and I came across the statement below.

"In this respect, the risks associated with loading, using, modifying
and/or developing or reproducing the software by the user are brought to
the user's attention, given its Free Software status, which may make it
complicated to use, with the result that its use is reserved for
developers and experienced professionals having in-depth computer
knowledge."

Normally I would not consider myself to be a developer or an
experienced computer professional with in depth computer knowledge.
However, since I would like to use Scilab to assist me with projects,
I was wondering if I fit under this definition as stated in the
agreement.

Thanks for you time,
Benjamin


From Christophe.Dang at sidel.com  Fri Feb  6 15:09:04 2015
From: Christophe.Dang at sidel.com (Dang, Christophe)
Date: Fri, 6 Feb 2015 14:09:04 +0000
Subject: [Scilab-users] License agreement question
In-Reply-To: <CAJEbnQUdF53ZS_nHNtxi1Vnyms9WRc656fj8aXNr8AsqfpEucA@mail.gmail.com>
References: <CAJEbnQUdF53ZS_nHNtxi1Vnyms9WRc656fj8aXNr8AsqfpEucA@mail.gmail.com>
Message-ID: <AMSPR07MB2099AC532818A982774E990E5380@AMSPR07MB209.eurprd07.prod.outlook.com>

Hello,

> De : Benjamin Rentschler
> Envoy? : jeudi 5 f?vrier 2015 00:18
>
> [Scilab licensing agreement for version 5.5.1]
> " the risks associated with loading, using, modifying and/or developing or reproducing the
> [...]its use is reserved for developers and experienced professionals [...]."
>
> I was wondering if I fit under this definition as stated in the agreement.

I considere it as a disclaimer which means "the Scilab Consortium is not responsible of the quality of your results, don't sue us if you design a car with the help of Scilab and your car crashes (or worse)".

--
Christophe Dang Ngoc Chan
Mechanical calculation engineer
This e-mail may contain confidential and/or privileged information. If you are not the intended recipient (or have received this e-mail in error), please notify the sender immediately and destroy this e-mail. Any unauthorized copying, disclosure or distribution of the material in this e-mail is strictly forbidden.


From tim at wescottdesign.com  Fri Feb  6 19:19:55 2015
From: tim at wescottdesign.com (Tim Wescott)
Date: Fri, 06 Feb 2015 10:19:55 -0800
Subject: [Scilab-users] License agreement question
In-Reply-To: <CAJEbnQUdF53ZS_nHNtxi1Vnyms9WRc656fj8aXNr8AsqfpEucA@mail.gmail.com>
References: <CAJEbnQUdF53ZS_nHNtxi1Vnyms9WRc656fj8aXNr8AsqfpEucA@mail.gmail.com>
Message-ID: <1423246795.2533.26.camel@servo>

On Wed, 2015-02-04 at 17:17 -0600, Benjamin Rentschler wrote:
> To Whom it may Concern,
> 
> I was reading through the Scilab licensing agreement for version 5.5.1
> and I came across the statement below.
> 
> "In this respect, the risks associated with loading, using, modifying
> and/or developing or reproducing the software by the user are brought to
> the user's attention, given its Free Software status, which may make it
> complicated to use, with the result that its use is reserved for
> developers and experienced professionals having in-depth computer
> knowledge."
> 
> Normally I would not consider myself to be a developer or an
> experienced computer professional with in depth computer knowledge.
> However, since I would like to use Scilab to assist me with projects,
> I was wondering if I fit under this definition as stated in the
> agreement.

It reads to me like a legally defensible way of saying "you're on your
own, bub".

I'm pretty active on the comp.dsp newsgroup on USENET, and there seems
to be a small but significant minority of people -- either students or
young practitioners -- who cannot seem to distinguish between true
knowledge of DSP and what commands to type into Matlab (Scilab, too,
roughly in proportion to its installed base compared to Matlab).  Some
of these people get seriously bent out of shape when you tell them that
they need to apply a pencil to paper, and to guide that pencil with deep
thought and consideration, rather than just picking the right Matlab
command to cough up an answer.

That clause reads to me like an answer to those folks.

Any tool that you use should be treated as such, and for anything really
important you should do the engineering from at least two directions
(this is why development for life-critical systems is slow and
expensive).  So no matter what the tool is, whether it be Scilab,
Maxima, or your brain and a pencil, you shouldn't just trust the tool to
cough up the right answer: I think that's what they're trying to say.

-- 

Tim Wescott
www.wescottdesign.com
Control & Communications systems, circuit & software design.
Phone: 503.631.7815
Cell:  503.349.8432



From quantparis at numericable.fr  Fri Feb  6 20:38:07 2015
From: quantparis at numericable.fr (quantparis at numericable.fr)
Date: Fri,  6 Feb 2015 20:38:07 +0100 (CET)
Subject: [Scilab-users] atoms install doesn't work
Message-ID: <ea-mime-54d5181f-839b-5313c771@webmail.numericable.fr>

Hello

I am trying to install some modules with atomsInstall and it hasn't worked

when I type and atomsSystemUpdate I get the same message as for the module
(cf. below) work on ubuntu 14.04,scilab 5.6

thank you in advance for help,suggestions
pascal

-->atomsSystemUpdate() 
atomsDownload: The following file hasn't been downloaded:
?????? ??- URL?????????? : 'http://atoms.scilab.org/5.6/TOOLBOXES/64/linux.gz'
?????? ??- Local location : '/tmp/SCI_TMP_3832_fAs08t/.atoms/1_TOOLBOXES.gz'
WARNING: --2015-02-06 20:34:05--?? http://atoms.scilab.org/5.6/TOOLBOXES/64/linux.gz
???????????????? Resolving atoms.scilab.org (atoms.scilab.org)... 193.51.192.153
???????????????? Connecting to atoms.scilab.org (atoms.scilab.org)|193.51.192.153|:80... connected.
???????????????? HTTP request sent, awaiting response... 404 Not Found
???????????????? 2015-02-06 20:34:06 ERROR 404: Not Found.

Scanning repository http://atoms.scilab.org/5.6 ... Skipped

??!--error 10000 
All ATOMS repositories scan failed.
at line???????? 198 of function atomsDESCRIPTIONget called by :?? 
at line?????????? 16 of function atomsSystemUpdate called by :?? 
atomsSystemUpdate()
??
??

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From communication at scilab-enterprises.com  Tue Feb 10 10:42:12 2015
From: communication at scilab-enterprises.com (Scilab Communications)
Date: Tue, 10 Feb 2015 10:42:12 +0100
Subject: [Scilab-users] [ScilabTEC 2015] Program Unveiled and Registration
	Open
Message-ID: <54D9D274.1010504@scilab-enterprises.com>

Is this email not displaying correctly?
View it in your browser <http://www.scilabtec.com/prog.html>
ScilabTEC2015
<http://www.scilabtec.com>
------------------------------------------------------------------------


    ScilabTEC 2015 Program Unveiled and Registration Open

*2 keynote speakers:*
- Roberto Di Cosmo, director of IRILL (French research structure 
dedicated to Free and Open Source Software quality),
- Yohan Livet, software architect at CEA/CESTA (French Atomic Energy and 
Alternative Energies Commission).

and also high quality presentations and innovative applications in 
various fields with the interventions of Inmetro, Evidence Srl, Inria, 
Noesis Solutions, Technische Universit?t M?nchen, Xilinx, Bavarian State 
Research Center for Agriculture, KIT, CNES, University of Luxembourg, 
Embedded Solutions, Silkan, Sanofi, LASTIMI Laboratory, Temasek 
Polytechnic, Johnson Electric Gate.


    Discover the complete program and register on http://www.scilabtec.com/

The first evening, participants may meet over dinner with the organizers 
during a moment of conviviality and exchange between all.


  REGISTER NOW <http://scilabtec.com/index.php/registration> (limited
  seating)
  Early-bird before March 10, 2015

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From hmmorae at gmail.com  Wed Feb 11 16:48:18 2015
From: hmmorae at gmail.com (Hector Mora)
Date: Wed, 11 Feb 2015 10:48:18 -0500
Subject: [Scilab-users] linux command line
Message-ID: <CADj9aBE5qfkOYHGULuL2KwndPK8tJjC1ZoeZ7+R+vMkWwg37xA@mail.gmail.com>

Hi all:

I would like to give, in Scilab,  a linux command line. It's possible?

For example  mv file1.txt file2.txt

Best regards

Hector
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From paul.bignier at scilab-enterprises.com  Wed Feb 11 16:54:53 2015
From: paul.bignier at scilab-enterprises.com (Paul Bignier)
Date: Wed, 11 Feb 2015 16:54:53 +0100
Subject: [Scilab-users] linux command line
In-Reply-To: <CADj9aBE5qfkOYHGULuL2KwndPK8tJjC1ZoeZ7+R+vMkWwg37xA@mail.gmail.com>
References: <CADj9aBE5qfkOYHGULuL2KwndPK8tJjC1ZoeZ7+R+vMkWwg37xA@mail.gmail.com>
Message-ID: <54DB7B4D.8080000@scilab-enterprises.com>


Hello Hector,

The File section 
<http://help.scilab.org/docs/5.5.1/en_US/section_efa4cbf5c15e166f34901f827390e756.html> 
will give you the Scilab linux commands that you are looking for :)

Otherwise, use the unix 
<http://help.scilab.org/docs/5.5.1/en_US/unix.html> function to make 
your own command line.

Regards,
Paul


On 02/11/2015 04:48 PM, Hector Mora wrote:
> Hi all:
>
> I would like to give, in Scilab,  a linux command line. It's possible?
>
> For example  mv file1.txt file2.txt
>
> Best regards
>
> Hector
>
>
> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users

-- 
Paul BIGNIER
Development engineer
-----------------------------------------------------------
Scilab Enterprises
143bis rue Yves Le Coz - 78000 Versailles, France
Phone: +33.1.80.77.04.69
http://www.scilab-enterprises.com

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From sgougeon at free.fr  Wed Feb 11 17:48:55 2015
From: sgougeon at free.fr (sgougeon at free.fr)
Date: Wed, 11 Feb 2015 17:48:55 +0100 (CET)
Subject: [Scilab-users] linux command line
In-Reply-To: <CADj9aBE5qfkOYHGULuL2KwndPK8tJjC1ZoeZ7+R+vMkWwg37xA@mail.gmail.com>
Message-ID: <1831192031.366541834.1423673335776.JavaMail.root@zimbra75-e12.priv.proxad.net>

Hello,

>I would like to give, in Scilab, a linux command line. It's possible? 
>
>For example mv file1.txt file2.txt 

yes, you may use one of the unix..() or host() functions:
http://help.scilab.org/docs/5.5.1/en_US/section_7182261dbbb2bb2293bb9166ba5f1fb3.html

Regards
Samuel


From bmbouter at gmail.com  Thu Feb 12 16:56:21 2015
From: bmbouter at gmail.com (Brian Bouterse)
Date: Thu, 12 Feb 2015 10:56:21 -0500
Subject: [Scilab-users] Using GROCER ms_var parameters for forecasting
Message-ID: <CAKBMpNbnDScmwPWmfkE_-K11iGjRmX4=zS2ekRcS9zFqkJPCUQ@mail.gmail.com>

I use GROCER's ms_var function to estimate a single variable VAR model, and
it estimates parameters as expected and described by the manual. I want to
train and evaluate my model on different data sets to avoid bias from
training and benchmarking on the same data set. How can this be done?

For example consider data set A (month 1) and data set B (month 2) from a 2
month sample. I would like to train on month 1 and then benchmark on month
2.

I use ms_var to train on data set A. It gives me estimated parameters and
filtered regime probabilities. That works well. How can I use the trained
parameters to then estimate on month 2 data?

I'm aware of the ms_forecast function, but it seems to only forecast using
the results from an estimator like ms_var(). The forecasting will then only
be done on the same data as was used for estimating. I want to use the
trained parameters to product estimates for a different data set.

Thanks in advance. I really appreciate being able to use this software.

-Brian

-- 
Brian Bouterse
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From grocer.toolbox at gmail.com  Thu Feb 12 21:44:19 2015
From: grocer.toolbox at gmail.com (Eric Dubois)
Date: Thu, 12 Feb 2015 21:44:19 +0100
Subject: [Scilab-users] Using GROCER ms_var parameters for forecasting
In-Reply-To: <CAKBMpNbnDScmwPWmfkE_-K11iGjRmX4=zS2ekRcS9zFqkJPCUQ@mail.gmail.com>
References: <CAKBMpNbnDScmwPWmfkE_-K11iGjRmX4=zS2ekRcS9zFqkJPCUQ@mail.gmail.com>
Message-ID: <CAGgDjFRgmd5UKa+Mkmgaa2kMGML=cXJVPx8CY+c5eMtNuOa11g@mail.gmail.com>

Dear Brian.

If I have well understood, you want:
- to estimate a ms_var model on a subset of your dataset;
- recover the estimated parameters;
- and calculate the filtered state probabilities on the other part of your
dataset with these parameters.

This can be done:
- the function MSVAR_Filt calculates among other the filetered
probabilities (5th output);
- the function needs among other things the parameters of the model; they
can be recovered from the output tlist of function ms_var; if give it the
name res (with --> res=ms_var(...)): this is the field 'coeff' in the
output tlist (res('coeff') with this example);

But the function MSVAR_Filt also has to be fed with matrices y_hat, x_hat
and z_hat that are matrices derived from the matrix of endogenous and
exogenous variables (see function ms_var to see how it is done).

If you are not too in a hurry, I can write the function that gathers all
these operations within a few weeks.

?ric.

2015-02-12 16:56 GMT+01:00 Brian Bouterse <bmbouter at gmail.com>:

> I use GROCER's ms_var function to estimate a single variable VAR model,
> and it estimates parameters as expected and described by the manual. I want
> to train and evaluate my model on different data sets to avoid bias from
> training and benchmarking on the same data set. How can this be done?
>
> For example consider data set A (month 1) and data set B (month 2) from a
> 2 month sample. I would like to train on month 1 and then benchmark on
> month 2.
>
> I use ms_var to train on data set A. It gives me estimated parameters and
> filtered regime probabilities. That works well. How can I use the trained
> parameters to then estimate on month 2 data?
>
> I'm aware of the ms_forecast function, but it seems to only forecast using
> the results from an estimator like ms_var(). The forecasting will then only
> be done on the same data as was used for estimating. I want to use the
> trained parameters to product estimates for a different data set.
>
> Thanks in advance. I really appreciate being able to use this software.
>
> -Brian
>
> --
> Brian Bouterse
>
> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users
>
>
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From n.strelkov at gmail.com  Sat Feb 14 18:23:47 2015
From: n.strelkov at gmail.com (nikolay)
Date: Sat, 14 Feb 2015 10:23:47 -0700 (MST)
Subject: [Scilab-users] Problem obtaining Dirac delta function in Xcos
Message-ID: <1423934627227-4031722.post@n3.nabble.com>

Hello Scilab users!

I have a problem with simple Xcos diagram.
I'm trying to get Dirac delta function as a derivative of Step function.

Xcos diagram is in attachment ( dirac_problem.zcos
<http://mailinglists.scilab.org/file/n4031722/dirac_problem.zcos>  ).
I use the following blocks:

    CLOCK_c
    ENDBLK (final simulation time is 2)
    CLINDUMMY_f
    STEP_FUNCTION (step time 1.0, initial value 0, final value 1)
    DERIV
    DIFF_f
    scifunc_block_m (with y1=diff(u1) function inside)
    CMSCOPE
    3 TOWS_c for saving results to workspace (step, dirac1 and dirac3).

If I manually do diff(step) I get expected Dirac function.
If I replace STEP_FUNCTION with RAMP (slope 1, start time 1, initial value
0) I get expected results - plot of Heaviside function (see  ramp.zcos
<http://mailinglists.scilab.org/file/n4031722/ramp.zcos>  ).

Can anybody help me?
What is the correct way to obtain Dirac delta function in XCos?

With best regards,
maintainer and developer of Mathieu functions toolbox for Scilab,
IEEE member, Ph.D.,
Nikolay Strelkov.



--
View this message in context: http://mailinglists.scilab.org/Problem-obtaining-Dirac-delta-function-in-Xcos-tp4031722.html
Sent from the Scilab users - Mailing Lists Archives mailing list archive at Nabble.com.


From quantparis at numericable.fr  Sat Feb 14 21:37:19 2015
From: quantparis at numericable.fr (quantparis at numericable.fr)
Date: Sat, 14 Feb 2015 21:37:19 +0100 (CET)
Subject: [Scilab-users] compatibility  Atoms scilab 5.6 / Ubuntu14.04
Message-ID: <ea-mime-54dfb1ff-647d-76cddcc7@webmail.numericable.fr>

Hello

I have recently installed scilab 5.6 on ubuntu 14.04 but I get the following message with Atoms:

No ATOMS module is available. Please, check your Internet connection or make sure that your OS is compatible with ATOMS.

is there anyone who has run Atoms from scilab 5.6 on ubuntu 14.04?

thank you in advance for the feedback

Pascal


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From arvid at softube.com  Sun Feb 15 12:01:46 2015
From: arvid at softube.com (=?utf-8?Q?Arvid_Ros=C3=A9n?=)
Date: Sun, 15 Feb 2015 12:01:46 +0100
Subject: [Scilab-users] Parallel execution on Mac
Message-ID: <2B62F3E8-30D2-485D-A861-93ECB82C9EEF@softube.com>

Anyone out there who is using any successful ways of running heavy scilab jobs in parallel across several cores on Mac OS?

8 cores, with 1 in use is, is a bit annoying when you are sitting there waiting for the processing to finish.

Cheers,
Arvid

From pablo_f_7 at hotmail.com  Sun Feb 15 15:37:00 2015
From: pablo_f_7 at hotmail.com (Pablo Fonovich)
Date: Sun, 15 Feb 2015 11:37:00 -0300
Subject: [Scilab-users] compatibility  Atoms scilab 5.6 / Ubuntu14.04
In-Reply-To: <ea-mime-54dfb1ff-647d-76cddcc7@webmail.numericable.fr>
References: <ea-mime-54dfb1ff-647d-76cddcc7@webmail.numericable.fr>
Message-ID: <BAY169-W138C900753BE06F5A74CCA0EE210@phx.gbl>

Hi... i assume you reffer to the yasp version? i mean... scilab 6.0 current development?
i think it tries to look for scilab 6.0 repossitory for atoms, but it is not yet available... so i think you coud just use:

atomsRepositoryAdd("http://atoms.scilab.org/5.5") and use the previous repository... when version 6.0 stable cames out, i think the 6.0 repository will be available...

The problem of this is that i cant remove 6.0 repo with atomsRepositoryDel("http://atoms.scilab.org/6.0 official")... and this brings trouble... 
perhaps you should just wait till this is solved in the new version
From: quantparis at numericable.fr
To: users at lists.scilab.org
Date: Sat, 14 Feb 2015 21:37:19 +0100
Subject: [Scilab-users] compatibility  Atoms scilab 5.6 / Ubuntu14.04





Hello

I have recently installed scilab 5.6 on ubuntu 14.04 but I get the following message with Atoms:

No ATOMS module is available. Please, check your Internet connection or make sure that your OS is compatible with ATOMS.

is there anyone who has run Atoms from scilab 5.6 on ubuntu 14.04?

thank you in advance for the feedback

Pascal



_______________________________________________
users mailing list
users at lists.scilab.org
http://lists.scilab.org/mailman/listinfo/users 		 	   		  
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From stephane.mottelet at utc.fr  Sun Feb 15 15:33:21 2015
From: stephane.mottelet at utc.fr (=?ISO-8859-1?Q?St=E9phane_Mottelet?=)
Date: Sun, 15 Feb 2015 15:33:21 +0100
Subject: [Scilab-users] Parallel execution on Mac
In-Reply-To: <2B62F3E8-30D2-485D-A861-93ECB82C9EEF@softube.com>
References: <2B62F3E8-30D2-485D-A861-93ECB82C9EEF@softube.com>
Message-ID: <54E0AE31.6070403@utc.fr>

Le 15/02/2015 12:01, Arvid Ros?n a ?crit :
> Anyone out there who is using any successful ways of running heavy scilab jobs in parallel across several cores on Mac OS?
>
> 8 cores, with 1 in use is, is a bit annoying when you are sitting there waiting for the processing to finish.
>
> Cheers,
> Arvid
> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users
Hello,

The problem is that parallel_run is still broken under MacOSX (see 
http://bugzilla.scilab.org/show_bug.cgi?id=13158). For some 
applications, such as Monte-Carlo estimations, this is not a big 
problem, since you just have to submit more tasks that expected. But for 
other tasks, such as partionning a big domain for independant 
computations (e.g. computing the Mandelbrot Set), this prohibits its 
usage. Under Linux, I have no problem using simultaneously 40 cores.

S.


From arvid at softube.com  Sun Feb 15 16:07:54 2015
From: arvid at softube.com (=?utf-8?Q?Arvid_Ros=C3=A9n?=)
Date: Sun, 15 Feb 2015 16:07:54 +0100
Subject: [Scilab-users] Parallel execution on Mac
In-Reply-To: <54E0AE31.6070403@utc.fr>
References: <2B62F3E8-30D2-485D-A861-93ECB82C9EEF@softube.com>
 <54E0AE31.6070403@utc.fr>
Message-ID: <3B2A3EB6-101A-4431-902F-C8C8F475C3F2@softube.com>

Yeah, I know about that bug. Does anyone know if it is difficult to fix?

I have used a custom solution for parallel processing previously (using fork), but it crashes now in libBLAS.

/Arvid

> 15 feb 2015 kl. 15:46 skrev St?phane Mottelet <stephane.mottelet at utc.fr>:
> 
> Le 15/02/2015 12:01, Arvid Ros?n a ?crit :
>> Anyone out there who is using any successful ways of running heavy scilab jobs in parallel across several cores on Mac OS?
>> 
>> 8 cores, with 1 in use is, is a bit annoying when you are sitting there waiting for the processing to finish.
>> 
>> Cheers,
>> Arvid
>> _______________________________________________
>> users mailing list
>> users at lists.scilab.org
>> http://lists.scilab.org/mailman/listinfo/users
> Hello,
> 
> The problem is that parallel_run is still broken under MacOSX (see http://bugzilla.scilab.org/show_bug.cgi?id=13158). For some applications, such as Monte-Carlo estimations, this is not a big problem, since you just have to submit more tasks that expected. But for other tasks, such as partionning a big domain for independant computations (e.g. computing the Mandelbrot Set), this prohibits its usage. Under Linux, I have no problem using simultaneously 40 cores.
> 
> S.
> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users


From bmbouter at gmail.com  Tue Feb 17 15:03:03 2015
From: bmbouter at gmail.com (Brian Bouterse)
Date: Tue, 17 Feb 2015 09:03:03 -0500
Subject: [Scilab-users] Using GROCER ms_var parameters for forecasting
In-Reply-To: <CAGgDjFRgmd5UKa+Mkmgaa2kMGML=cXJVPx8CY+c5eMtNuOa11g@mail.gmail.com>
References: <CAKBMpNbnDScmwPWmfkE_-K11iGjRmX4=zS2ekRcS9zFqkJPCUQ@mail.gmail.com>
 <CAGgDjFRgmd5UKa+Mkmgaa2kMGML=cXJVPx8CY+c5eMtNuOa11g@mail.gmail.com>
Message-ID: <CAKBMpNYbR9=kLhkJoSSgQSdJ-zGipY2DJiX46W_szdXguk9+9w@mail.gmail.com>

Hi Eric,

Thanks for the reply! Yes you understand my goals correctly, but one
clarification: It would be better to have the estimated values directly
instead of the filtered state probabilities. I usually get these with
ms_forecast(r, n).

I've been reading through the grocer code to determine how to write the
function you suggest. I do need it sooner than a few weeks so I'm
attempting to do it. It seems straightforward except for the y_hat, x_hat,
and z_hat variables I need to provide to MSVAR_Filt.(). Here are some
questions:

1) You say I need to feed MSVAR_Filt() with y_hat, x_hat, and z_hat, but
the variables in the function signature for MSVAR_Filt read
as y_mat,x_mat,z_mat. Did you mean y_mat or y_hat?

2) y_hat (2nd output) is an output of MSVAR_Filt(). The function comments
say that is my estimated y. Is that the direct estimates that I am looking
for?

3) I read through ms_var() to see how to derive the y_hat, x_hat, and z_hat
variables that are needed, but I don't see any code in ms_var that derive
these variables. Can you more specifically point out where the code is that
shows the derivation of these matrices?

Separate from those questions I am wondering what kind of bias is
introduced if I use the filtered probabilities from ms_var? Could I use
those instead of attempting to predict with data set A and evaluate with
data set B. The reason I like the two data set methodology is that the
training data (A) is separated from the evaluation data (B) so there can't
be any bias in terms of measuring how the trained data generalizes when
benchmarked on evaluation data because the training model never saw data
set (B). Chapter 23 says the filtered probabilities only use data up until
that point in time, but it uses estimates that were built from all
information that is available. It seems biased to evaluate the residuals
using filtered probabilities (or smoothed probabilities) because training
and evaluating error on the same data set seems wrong. What do you think
the right way is to use these tools to avoid bias when measuring error of
model performance?

Thanks for any information. Also is there any possibility for us to chat on
IRC? I'm 'bmbouter' in #scilab on freenode if you want to chat there. It
would probably be faster than e-mail.

Thanks!
Brian


On Thu, Feb 12, 2015 at 3:44 PM, Eric Dubois <grocer.toolbox at gmail.com>
wrote:

> Dear Brian.
>
> If I have well understood, you want:
> - to estimate a ms_var model on a subset of your dataset;
> - recover the estimated parameters;
> - and calculate the filtered state probabilities on the other part of your
> dataset with these parameters.
>
> This can be done:
> - the function MSVAR_Filt calculates among other the filetered
> probabilities (5th output);
> - the function needs among other things the parameters of the model; they
> can be recovered from the output tlist of function ms_var; if give it the
> name res (with --> res=ms_var(...)): this is the field 'coeff' in the
> output tlist (res('coeff') with this example);
>
> But the function MSVAR_Filt also has to be fed with matrices y_hat, x_hat
> and z_hat that are matrices derived from the matrix of endogenous and
> exogenous variables (see function ms_var to see how it is done).
>
> If you are not too in a hurry, I can write the function that gathers all
> these operations within a few weeks.
>
> ?ric.
>
> 2015-02-12 16:56 GMT+01:00 Brian Bouterse <bmbouter at gmail.com>:
>
>> I use GROCER's ms_var function to estimate a single variable VAR model,
>> and it estimates parameters as expected and described by the manual. I want
>> to train and evaluate my model on different data sets to avoid bias from
>> training and benchmarking on the same data set. How can this be done?
>>
>> For example consider data set A (month 1) and data set B (month 2) from a
>> 2 month sample. I would like to train on month 1 and then benchmark on
>> month 2.
>>
>> I use ms_var to train on data set A. It gives me estimated parameters and
>> filtered regime probabilities. That works well. How can I use the trained
>> parameters to then estimate on month 2 data?
>>
>> I'm aware of the ms_forecast function, but it seems to only forecast
>> using the results from an estimator like ms_var(). The forecasting will
>> then only be done on the same data as was used for estimating. I want to
>> use the trained parameters to product estimates for a different data set.
>>
>> Thanks in advance. I really appreciate being able to use this software.
>>
>> -Brian
>>
>> --
>> Brian Bouterse
>>
>> _______________________________________________
>> users mailing list
>> users at lists.scilab.org
>> http://lists.scilab.org/mailman/listinfo/users
>>
>>
>
> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users
>
>


-- 
Brian Bouterse
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From grocer.toolbox at gmail.com  Tue Feb 17 21:50:34 2015
From: grocer.toolbox at gmail.com (Eric Dubois)
Date: Tue, 17 Feb 2015 21:50:34 +0100
Subject: [Scilab-users] Using GROCER ms_var parameters for forecasting
In-Reply-To: <CAKBMpNYbR9=kLhkJoSSgQSdJ-zGipY2DJiX46W_szdXguk9+9w@mail.gmail.com>
References: <CAKBMpNbnDScmwPWmfkE_-K11iGjRmX4=zS2ekRcS9zFqkJPCUQ@mail.gmail.com>
 <CAGgDjFRgmd5UKa+Mkmgaa2kMGML=cXJVPx8CY+c5eMtNuOa11g@mail.gmail.com>
 <CAKBMpNYbR9=kLhkJoSSgQSdJ-zGipY2DJiX46W_szdXguk9+9w@mail.gmail.com>
Message-ID: <CAGgDjFRoiVoeNacATWJ4=XE0zr8wXohu7ThoyGFuOb_fv2Y84A@mail.gmail.com>

Dear Brian.

1) sorry, I made indeed a typo and wanted to speak about y_mat, x_mat and
z_mat.

2) I do not know exactly what you want, but you can calculate what you want
from the parameters and all other inputs

3) you will find attached a function run_ms_var that performs, I hope, what
you need: this function takes a results tlist from a ms_var execution and a
vector of endogenous variables to feed the VAR (your benchmark data).

I have checked that if you give as endogenous variables exactly the same
variables as the one used for estimation, you recover the same yhat,
filtered probs, etc.

To use the function, you have to save it in a folder, say c:/newms, and run
into Scilab
--> getd('c:/newms)

To check what I mentionned above, run:
--> load(GROCERDIR+'\data\us_revu.dat')
--> bounds('1967m4','2004m2')
--> nb_states=2
--> switch_var=2 // variances are switching
--> var_opt=3 // heteroskedastik var-cov matrix
--> r=ms_var('cte',3,'100*(log(us_revu)-lagts(2,log(us_revu)))',nb_states,switch_var,var_opt,'prt=initial;final','transf=stud')
--> [y_hat,resid,PR,PR_STT,PR_STL]=run_ms_var(r,'100*(log(us_revu)-lagts(2,log(us_revu)))'
--> PR_STT-r('filtered probs')

The function is rather rough (no header, no options,...) and can be
improved, but I hope it answers your needs.

?ric.




2015-02-17 15:03 GMT+01:00 Brian Bouterse <bmbouter at gmail.com>:

> Hi Eric,
>
> Thanks for the reply! Yes you understand my goals correctly, but one
> clarification: It would be better to have the estimated values directly
> instead of the filtered state probabilities. I usually get these with
> ms_forecast(r, n).
>
> I've been reading through the grocer code to determine how to write the
> function you suggest. I do need it sooner than a few weeks so I'm
> attempting to do it. It seems straightforward except for the y_hat, x_hat,
> and z_hat variables I need to provide to MSVAR_Filt.(). Here are some
> questions:
>
> 1) You say I need to feed MSVAR_Filt() with y_hat, x_hat, and z_hat, but
> the variables in the function signature for MSVAR_Filt read
> as y_mat,x_mat,z_mat. Did you mean y_mat or y_hat?
>
> 2) y_hat (2nd output) is an output of MSVAR_Filt(). The function comments
> say that is my estimated y. Is that the direct estimates that I am looking
> for?
>
> 3) I read through ms_var() to see how to derive the y_hat, x_hat, and
> z_hat variables that are needed, but I don't see any code in ms_var that
> derive these variables. Can you more specifically point out where the code
> is that shows the derivation of these matrices?
>
> Separate from those questions I am wondering what kind of bias is
> introduced if I use the filtered probabilities from ms_var? Could I use
> those instead of attempting to predict with data set A and evaluate with
> data set B. The reason I like the two data set methodology is that the
> training data (A) is separated from the evaluation data (B) so there can't
> be any bias in terms of measuring how the trained data generalizes when
> benchmarked on evaluation data because the training model never saw data
> set (B). Chapter 23 says the filtered probabilities only use data up until
> that point in time, but it uses estimates that were built from all
> information that is available. It seems biased to evaluate the residuals
> using filtered probabilities (or smoothed probabilities) because training
> and evaluating error on the same data set seems wrong. What do you think
> the right way is to use these tools to avoid bias when measuring error of
> model performance?
>
> Thanks for any information. Also is there any possibility for us to chat
> on IRC? I'm 'bmbouter' in #scilab on freenode if you want to chat there. It
> would probably be faster than e-mail.
>
> Thanks!
> Brian
>
>
> On Thu, Feb 12, 2015 at 3:44 PM, Eric Dubois <grocer.toolbox at gmail.com>
> wrote:
>
>> Dear Brian.
>>
>> If I have well understood, you want:
>> - to estimate a ms_var model on a subset of your dataset;
>> - recover the estimated parameters;
>> - and calculate the filtered state probabilities on the other part of
>> your dataset with these parameters.
>>
>> This can be done:
>> - the function MSVAR_Filt calculates among other the filetered
>> probabilities (5th output);
>> - the function needs among other things the parameters of the model; they
>> can be recovered from the output tlist of function ms_var; if give it the
>> name res (with --> res=ms_var(...)): this is the field 'coeff' in the
>> output tlist (res('coeff') with this example);
>>
>> But the function MSVAR_Filt also has to be fed with matrices y_hat, x_hat
>> and z_hat that are matrices derived from the matrix of endogenous and
>> exogenous variables (see function ms_var to see how it is done).
>>
>> If you are not too in a hurry, I can write the function that gathers all
>> these operations within a few weeks.
>>
>> ?ric.
>>
>> 2015-02-12 16:56 GMT+01:00 Brian Bouterse <bmbouter at gmail.com>:
>>
>>> I use GROCER's ms_var function to estimate a single variable VAR model,
>>> and it estimates parameters as expected and described by the manual. I want
>>> to train and evaluate my model on different data sets to avoid bias from
>>> training and benchmarking on the same data set. How can this be done?
>>>
>>> For example consider data set A (month 1) and data set B (month 2) from
>>> a 2 month sample. I would like to train on month 1 and then benchmark on
>>> month 2.
>>>
>>> I use ms_var to train on data set A. It gives me estimated parameters
>>> and filtered regime probabilities. That works well. How can I use the
>>> trained parameters to then estimate on month 2 data?
>>>
>>> I'm aware of the ms_forecast function, but it seems to only forecast
>>> using the results from an estimator like ms_var(). The forecasting will
>>> then only be done on the same data as was used for estimating. I want to
>>> use the trained parameters to product estimates for a different data set.
>>>
>>> Thanks in advance. I really appreciate being able to use this software.
>>>
>>> -Brian
>>>
>>> --
>>> Brian Bouterse
>>>
>>> _______________________________________________
>>> users mailing list
>>> users at lists.scilab.org
>>> http://lists.scilab.org/mailman/listinfo/users
>>>
>>>
>>
>> _______________________________________________
>> users mailing list
>> users at lists.scilab.org
>> http://lists.scilab.org/mailman/listinfo/users
>>
>>
>
>
> --
> Brian Bouterse
>
> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users
>
>
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From julie.paul at scilab-enterprises.com  Thu Feb 19 09:08:03 2015
From: julie.paul at scilab-enterprises.com (Julie PAUL)
Date: Thu, 19 Feb 2015 09:08:03 +0100
Subject: [Scilab-users] [Free Webinar] Solar energy system optimization with
	Scilab & Optimus
Message-ID: <13f473a1c5db80b0b5dce8c447abd472@scilab-enterprises.com>

Dear Scilab users,

Noesis Solutions & Scilab Enterprises invite you to join a webinar on 
March 5, to discover how easily Optimus integrates Scilab?into a design 
optimization process. In this free webinar, you will see how process 
integration and multiobjective optimization helped increase the 
efficiency and minimizing the cost of a solar energy system.

Join the Webinar on Thursday March 5 at:
- 10:00 AM CET / 04:00 AM EST
- 06:00 PM CET / 12:00 PM EST

Presenting during this webinar:
- Taylor Newill - Application Engineer, Noesis Solutions
- Claude Gomez - CEO, Scilab Enterprises


Free webinar, registration mandatory on 
http://pages.noesissolutions.com/2015-03-05-optimus-scilab-enews/?source=sef



-- 
Julie PAUL
Scilab Enterprises
Communications & Public Relations Director
143bis rue Yves Le Coz - 78000 Versailles (FR)
http://www.scilab-enterprises.com - http://www.scilab.org


From grivet at cnrs-orleans.fr  Thu Feb 19 12:19:32 2015
From: grivet at cnrs-orleans.fr (grivet)
Date: Thu, 19 Feb 2015 12:19:32 +0100
Subject: [Scilab-users] write permission
In-Reply-To: <AMSPR07MB209B43529A3D2CA65726C9BE5350@AMSPR07MB209.eurprd07.prod.outlook.com>
References: <54C3E4FB.6010903@gmail.com>
 <AMSPR07MB209B43529A3D2CA65726C9BE5350@AMSPR07MB209.eurprd07.prod.outlook.com>
Message-ID: <54E5C6C4.9010602@cnrs-orleans.fr>

Hello,
During the last year, I have been creating animations with Scilab (5.4.1 
and lately 5.5.0 under Win7).

Suddenly yesterday, my program failed with the error message
     xs2gif(gcf(),nomf);
                     !--error 999
xs2gif : Impossible de cr?er le fichier d'exportation, permission refus?e.

I checked that I could write into the relevant directory using 
notepad++, LibreOffice and other software.
I switched back to Scilab 5.4.1 and met the same problem.
I tried programs that used to work and they failed with the same error 
message.

Any idea on the cause and cure of this problem ?
Thanks in advance
JP Grivet



From bmbouter at gmail.com  Thu Feb 19 14:28:53 2015
From: bmbouter at gmail.com (Brian Bouterse)
Date: Thu, 19 Feb 2015 08:28:53 -0500
Subject: [Scilab-users] Using GROCER ms_var parameters for forecasting
In-Reply-To: <CAGgDjFRoiVoeNacATWJ4=XE0zr8wXohu7ThoyGFuOb_fv2Y84A@mail.gmail.com>
References: <CAKBMpNbnDScmwPWmfkE_-K11iGjRmX4=zS2ekRcS9zFqkJPCUQ@mail.gmail.com>
 <CAGgDjFRgmd5UKa+Mkmgaa2kMGML=cXJVPx8CY+c5eMtNuOa11g@mail.gmail.com>
 <CAKBMpNYbR9=kLhkJoSSgQSdJ-zGipY2DJiX46W_szdXguk9+9w@mail.gmail.com>
 <CAGgDjFRoiVoeNacATWJ4=XE0zr8wXohu7ThoyGFuOb_fv2Y84A@mail.gmail.com>
Message-ID: <CAKBMpNZhECH7+UKMr+Xo_GyZZQkPE70OMqcua+Pw4gwPD5CU=Q@mail.gmail.com>

Hi Eric,

Thank you so much for the function. The verification step you demonstrate
are convincing that the implementation produces the correct filtered
probability result on the benchmark data. I've been able to reproduce your
demo results, and also apply it to my own data set. This is great!

There is one more thing that I'm not sure how to do for the single variable
case. How can I take the results I have from run_ms_var() and use them with
ms_forecast() to produce a single variable filtered estimate? The results I
have are [y_hat,resid,PR,PR_STT,PR_STL]. I imagine this could be done using
the following pseudocode:

for each time step in PR_STT:
    select the regime with the highest filtered probability for this time
step (ie: say regime N). This is like a maximum likelihood selection.
    select the autoregressive parameters for regime N from the original
training step
    forecast the next time step using the autoregressive parameters using
regime N

This seems very similar to what ms_forecast() can do, but I'm not sure how
to call ms_forecast given only the existence of parameters
[y_hat,resid,PR,PR_STT,PR_STL]. Is this possible?

Perhaps one of the variables [y_hat,resid,PR,PR_STT,PR_STL] already
contains what I am looking for, but I want to be sure that it is based on
the filtered probabilities and not considering data that comes later in the
data set than the point of prediction. Does that make sense? In other words
I want to predict the specific value at time t, and only consider data on
the interval [0, t-1].

Thanks again for everything you've done including writing this, helping me,
responding so quickly, etc. This is really great.

-Brian



On Tue, Feb 17, 2015 at 3:50 PM, Eric Dubois <grocer.toolbox at gmail.com>
wrote:

> Dear Brian.
>
> 1) sorry, I made indeed a typo and wanted to speak about y_mat, x_mat and
> z_mat.
>
> 2) I do not know exactly what you want, but you can calculate what you
> want from the parameters and all other inputs
>
> 3) you will find attached a function run_ms_var that performs, I hope,
> what you need: this function takes a results tlist from a ms_var execution
> and a vector of endogenous variables to feed the VAR (your benchmark data).
>
> I have checked that if you give as endogenous variables exactly the same
> variables as the one used for estimation, you recover the same yhat,
> filtered probs, etc.
>
> To use the function, you have to save it in a folder, say c:/newms, and
> run into Scilab
> --> getd('c:/newms)
>
> To check what I mentionned above, run:
> --> load(GROCERDIR+'\data\us_revu.dat')
> --> bounds('1967m4','2004m2')
> --> nb_states=2
> --> switch_var=2 // variances are switching
> --> var_opt=3 // heteroskedastik var-cov matrix
>
> --> r=ms_var('cte',3,'100*(log(us_revu)-lagts(2,log(us_revu)))',nb_states,switch_var,var_opt,'prt=initial;final','transf=stud')
>
> --> [y_hat,resid,PR,PR_STT,PR_STL]=run_ms_var(r,'100*(log(us_revu)-lagts(2,log(us_revu)))'
> --> PR_STT-r('filtered probs')
>
> The function is rather rough (no header, no options,...) and can be
> improved, but I hope it answers your needs.
>
> ?ric.
>
>
>
>
> 2015-02-17 15:03 GMT+01:00 Brian Bouterse <bmbouter at gmail.com>:
>
>> Hi Eric,
>>
>> Thanks for the reply! Yes you understand my goals correctly, but one
>> clarification: It would be better to have the estimated values directly
>> instead of the filtered state probabilities. I usually get these with
>> ms_forecast(r, n).
>>
>> I've been reading through the grocer code to determine how to write the
>> function you suggest. I do need it sooner than a few weeks so I'm
>> attempting to do it. It seems straightforward except for the y_hat, x_hat,
>> and z_hat variables I need to provide to MSVAR_Filt.(). Here are some
>> questions:
>>
>> 1) You say I need to feed MSVAR_Filt() with y_hat, x_hat, and z_hat, but
>> the variables in the function signature for MSVAR_Filt read
>> as y_mat,x_mat,z_mat. Did you mean y_mat or y_hat?
>>
>> 2) y_hat (2nd output) is an output of MSVAR_Filt(). The function comments
>> say that is my estimated y. Is that the direct estimates that I am looking
>> for?
>>
>> 3) I read through ms_var() to see how to derive the y_hat, x_hat, and
>> z_hat variables that are needed, but I don't see any code in ms_var that
>> derive these variables. Can you more specifically point out where the code
>> is that shows the derivation of these matrices?
>>
>> Separate from those questions I am wondering what kind of bias is
>> introduced if I use the filtered probabilities from ms_var? Could I use
>> those instead of attempting to predict with data set A and evaluate with
>> data set B. The reason I like the two data set methodology is that the
>> training data (A) is separated from the evaluation data (B) so there can't
>> be any bias in terms of measuring how the trained data generalizes when
>> benchmarked on evaluation data because the training model never saw data
>> set (B). Chapter 23 says the filtered probabilities only use data up until
>> that point in time, but it uses estimates that were built from all
>> information that is available. It seems biased to evaluate the residuals
>> using filtered probabilities (or smoothed probabilities) because training
>> and evaluating error on the same data set seems wrong. What do you think
>> the right way is to use these tools to avoid bias when measuring error of
>> model performance?
>>
>> Thanks for any information. Also is there any possibility for us to chat
>> on IRC? I'm 'bmbouter' in #scilab on freenode if you want to chat there. It
>> would probably be faster than e-mail.
>>
>> Thanks!
>> Brian
>>
>>
>> On Thu, Feb 12, 2015 at 3:44 PM, Eric Dubois <grocer.toolbox at gmail.com>
>> wrote:
>>
>>> Dear Brian.
>>>
>>> If I have well understood, you want:
>>> - to estimate a ms_var model on a subset of your dataset;
>>> - recover the estimated parameters;
>>> - and calculate the filtered state probabilities on the other part of
>>> your dataset with these parameters.
>>>
>>> This can be done:
>>> - the function MSVAR_Filt calculates among other the filetered
>>> probabilities (5th output);
>>> - the function needs among other things the parameters of the model;
>>> they can be recovered from the output tlist of function ms_var; if give it
>>> the name res (with --> res=ms_var(...)): this is the field 'coeff' in the
>>> output tlist (res('coeff') with this example);
>>>
>>> But the function MSVAR_Filt also has to be fed with matrices y_hat,
>>> x_hat and z_hat that are matrices derived from the matrix of endogenous and
>>> exogenous variables (see function ms_var to see how it is done).
>>>
>>> If you are not too in a hurry, I can write the function that gathers all
>>> these operations within a few weeks.
>>>
>>> ?ric.
>>>
>>> 2015-02-12 16:56 GMT+01:00 Brian Bouterse <bmbouter at gmail.com>:
>>>
>>>> I use GROCER's ms_var function to estimate a single variable VAR model,
>>>> and it estimates parameters as expected and described by the manual. I want
>>>> to train and evaluate my model on different data sets to avoid bias from
>>>> training and benchmarking on the same data set. How can this be done?
>>>>
>>>> For example consider data set A (month 1) and data set B (month 2) from
>>>> a 2 month sample. I would like to train on month 1 and then benchmark on
>>>> month 2.
>>>>
>>>> I use ms_var to train on data set A. It gives me estimated parameters
>>>> and filtered regime probabilities. That works well. How can I use the
>>>> trained parameters to then estimate on month 2 data?
>>>>
>>>> I'm aware of the ms_forecast function, but it seems to only forecast
>>>> using the results from an estimator like ms_var(). The forecasting will
>>>> then only be done on the same data as was used for estimating. I want to
>>>> use the trained parameters to product estimates for a different data set.
>>>>
>>>> Thanks in advance. I really appreciate being able to use this software.
>>>>
>>>> -Brian
>>>>
>>>> --
>>>> Brian Bouterse
>>>>
>>>> _______________________________________________
>>>> users mailing list
>>>> users at lists.scilab.org
>>>> http://lists.scilab.org/mailman/listinfo/users
>>>>
>>>>
>>>
>>> _______________________________________________
>>> users mailing list
>>> users at lists.scilab.org
>>> http://lists.scilab.org/mailman/listinfo/users
>>>
>>>
>>
>>
>> --
>> Brian Bouterse
>>
>> _______________________________________________
>> users mailing list
>> users at lists.scilab.org
>> http://lists.scilab.org/mailman/listinfo/users
>>
>>
>
> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users
>
>


-- 
Brian Bouterse
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From grocer.toolbox at gmail.com  Thu Feb 19 21:43:50 2015
From: grocer.toolbox at gmail.com (Eric Dubois)
Date: Thu, 19 Feb 2015 21:43:50 +0100
Subject: [Scilab-users] Using GROCER ms_var parameters for forecasting
In-Reply-To: <CAKBMpNZhECH7+UKMr+Xo_GyZZQkPE70OMqcua+Pw4gwPD5CU=Q@mail.gmail.com>
References: <CAKBMpNbnDScmwPWmfkE_-K11iGjRmX4=zS2ekRcS9zFqkJPCUQ@mail.gmail.com>
 <CAGgDjFRgmd5UKa+Mkmgaa2kMGML=cXJVPx8CY+c5eMtNuOa11g@mail.gmail.com>
 <CAKBMpNYbR9=kLhkJoSSgQSdJ-zGipY2DJiX46W_szdXguk9+9w@mail.gmail.com>
 <CAGgDjFRoiVoeNacATWJ4=XE0zr8wXohu7ThoyGFuOb_fv2Y84A@mail.gmail.com>
 <CAKBMpNZhECH7+UKMr+Xo_GyZZQkPE70OMqcua+Pw4gwPD5CU=Q@mail.gmail.com>
Message-ID: <CAGgDjFQKN9BvBrajOvPfCLkD+kdjv9hZMBkS2kneF6rNyBiHiQ@mail.gmail.com>

Dear Brian

You cannot perform forecasts with the results fo the function I sent you,
because these results are under a matrix form while ms_forecast needs a
results tlist (typed list). What is needed is therefore a results tlist
with all needed fields to make forecasts. You will find enclosed a new
ms_var_run function that makes that. What I have done is replacing the
results that are new in the results tlist estimated, while keeping all
invariant results (suach as estimated parameters, t-stats,...): I think I
have done it properly, but I cannot insure you that it is the case.

Starting for the previous example, replace:
--> [y_hat,resid,PR,PR_STT,PR_STL]=run_ms_var(r,'100*(log(
us_revu)-lagts(2,log(us_revu)))'

with:
-->newr=run_ms_var(r,'100*(log(us_revu)-lagts(2,log(us_revu)))'

and then make a forecast with:
--> rf=ms_forecast(newr,'2004m12')

Again, the function is rough and should be improved somehow.

?ric.

2015-02-19 14:28 GMT+01:00 Brian Bouterse <bmbouter at gmail.com>:

> Hi Eric,
>
> Thank you so much for the function. The verification step you demonstrate
> are convincing that the implementation produces the correct filtered
> probability result on the benchmark data. I've been able to reproduce your
> demo results, and also apply it to my own data set. This is great!
>
> There is one more thing that I'm not sure how to do for the single
> variable case. How can I take the results I have from run_ms_var() and use
> them with ms_forecast() to produce a single variable filtered estimate? The
> results I have are [y_hat,resid,PR,PR_STT,PR_STL]. I imagine this could
> be done using the following pseudocode:
>
> for each time step in PR_STT:
>     select the regime with the highest filtered probability for this time
> step (ie: say regime N). This is like a maximum likelihood selection.
>     select the autoregressive parameters for regime N from the original
> training step
>     forecast the next time step using the autoregressive parameters using
> regime N
>
> This seems very similar to what ms_forecast() can do, but I'm not sure how
> to call ms_forecast given only the existence of parameters
> [y_hat,resid,PR,PR_STT,PR_STL]. Is this possible?
>
> Perhaps one of the variables [y_hat,resid,PR,PR_STT,PR_STL] already
> contains what I am looking for, but I want to be sure that it is based on
> the filtered probabilities and not considering data that comes later in the
> data set than the point of prediction. Does that make sense? In other words
> I want to predict the specific value at time t, and only consider data on
> the interval [0, t-1].
>
> Thanks again for everything you've done including writing this, helping
> me, responding so quickly, etc. This is really great.
>
> -Brian
>
>
>
> On Tue, Feb 17, 2015 at 3:50 PM, Eric Dubois <grocer.toolbox at gmail.com>
> wrote:
>
>> Dear Brian.
>>
>> 1) sorry, I made indeed a typo and wanted to speak about y_mat, x_mat and
>> z_mat.
>>
>> 2) I do not know exactly what you want, but you can calculate what you
>> want from the parameters and all other inputs
>>
>> 3) you will find attached a function run_ms_var that performs, I hope,
>> what you need: this function takes a results tlist from a ms_var execution
>> and a vector of endogenous variables to feed the VAR (your benchmark data).
>>
>> I have checked that if you give as endogenous variables exactly the same
>> variables as the one used for estimation, you recover the same yhat,
>> filtered probs, etc.
>>
>> To use the function, you have to save it in a folder, say c:/newms, and
>> run into Scilab
>> --> getd('c:/newms)
>>
>> To check what I mentionned above, run:
>> --> load(GROCERDIR+'\data\us_revu.dat')
>> --> bounds('1967m4','2004m2')
>> --> nb_states=2
>> --> switch_var=2 // variances are switching
>> --> var_opt=3 // heteroskedastik var-cov matrix
>>
>> --> r=ms_var('cte',3,'100*(log(us_revu)-lagts(2,log(us_revu)))',nb_states,switch_var,var_opt,'prt=initial;final','transf=stud')
>>
>> --> [y_hat,resid,PR,PR_STT,PR_STL]=run_ms_var(r,'100*(log(us_revu)-lagts(2,log(us_revu)))'
>> --> PR_STT-r('filtered probs')
>>
>> The function is rather rough (no header, no options,...) and can be
>> improved, but I hope it answers your needs.
>>
>> ?ric.
>>
>>
>>
>>
>> 2015-02-17 15:03 GMT+01:00 Brian Bouterse <bmbouter at gmail.com>:
>>
>>> Hi Eric,
>>>
>>> Thanks for the reply! Yes you understand my goals correctly, but one
>>> clarification: It would be better to have the estimated values directly
>>> instead of the filtered state probabilities. I usually get these with
>>> ms_forecast(r, n).
>>>
>>> I've been reading through the grocer code to determine how to write the
>>> function you suggest. I do need it sooner than a few weeks so I'm
>>> attempting to do it. It seems straightforward except for the y_hat, x_hat,
>>> and z_hat variables I need to provide to MSVAR_Filt.(). Here are some
>>> questions:
>>>
>>> 1) You say I need to feed MSVAR_Filt() with y_hat, x_hat, and z_hat, but
>>> the variables in the function signature for MSVAR_Filt read
>>> as y_mat,x_mat,z_mat. Did you mean y_mat or y_hat?
>>>
>>> 2) y_hat (2nd output) is an output of MSVAR_Filt(). The function
>>> comments say that is my estimated y. Is that the direct estimates that I am
>>> looking for?
>>>
>>> 3) I read through ms_var() to see how to derive the y_hat, x_hat, and
>>> z_hat variables that are needed, but I don't see any code in ms_var that
>>> derive these variables. Can you more specifically point out where the code
>>> is that shows the derivation of these matrices?
>>>
>>> Separate from those questions I am wondering what kind of bias is
>>> introduced if I use the filtered probabilities from ms_var? Could I use
>>> those instead of attempting to predict with data set A and evaluate with
>>> data set B. The reason I like the two data set methodology is that the
>>> training data (A) is separated from the evaluation data (B) so there can't
>>> be any bias in terms of measuring how the trained data generalizes when
>>> benchmarked on evaluation data because the training model never saw data
>>> set (B). Chapter 23 says the filtered probabilities only use data up until
>>> that point in time, but it uses estimates that were built from all
>>> information that is available. It seems biased to evaluate the residuals
>>> using filtered probabilities (or smoothed probabilities) because training
>>> and evaluating error on the same data set seems wrong. What do you think
>>> the right way is to use these tools to avoid bias when measuring error of
>>> model performance?
>>>
>>> Thanks for any information. Also is there any possibility for us to chat
>>> on IRC? I'm 'bmbouter' in #scilab on freenode if you want to chat there. It
>>> would probably be faster than e-mail.
>>>
>>> Thanks!
>>> Brian
>>>
>>>
>>> On Thu, Feb 12, 2015 at 3:44 PM, Eric Dubois <grocer.toolbox at gmail.com>
>>> wrote:
>>>
>>>> Dear Brian.
>>>>
>>>> If I have well understood, you want:
>>>> - to estimate a ms_var model on a subset of your dataset;
>>>> - recover the estimated parameters;
>>>> - and calculate the filtered state probabilities on the other part of
>>>> your dataset with these parameters.
>>>>
>>>> This can be done:
>>>> - the function MSVAR_Filt calculates among other the filetered
>>>> probabilities (5th output);
>>>> - the function needs among other things the parameters of the model;
>>>> they can be recovered from the output tlist of function ms_var; if give it
>>>> the name res (with --> res=ms_var(...)): this is the field 'coeff' in the
>>>> output tlist (res('coeff') with this example);
>>>>
>>>> But the function MSVAR_Filt also has to be fed with matrices y_hat,
>>>> x_hat and z_hat that are matrices derived from the matrix of endogenous and
>>>> exogenous variables (see function ms_var to see how it is done).
>>>>
>>>> If you are not too in a hurry, I can write the function that gathers
>>>> all these operations within a few weeks.
>>>>
>>>> ?ric.
>>>>
>>>> 2015-02-12 16:56 GMT+01:00 Brian Bouterse <bmbouter at gmail.com>:
>>>>
>>>>> I use GROCER's ms_var function to estimate a single variable VAR
>>>>> model, and it estimates parameters as expected and described by the
>>>>> manual. I want to train and evaluate my model on different data sets to
>>>>> avoid bias from training and benchmarking on the same data set. How can
>>>>> this be done?
>>>>>
>>>>> For example consider data set A (month 1) and data set B (month 2)
>>>>> from a 2 month sample. I would like to train on month 1 and then benchmark
>>>>> on month 2.
>>>>>
>>>>> I use ms_var to train on data set A. It gives me estimated parameters
>>>>> and filtered regime probabilities. That works well. How can I use the
>>>>> trained parameters to then estimate on month 2 data?
>>>>>
>>>>> I'm aware of the ms_forecast function, but it seems to only forecast
>>>>> using the results from an estimator like ms_var(). The forecasting will
>>>>> then only be done on the same data as was used for estimating. I want to
>>>>> use the trained parameters to product estimates for a different data set.
>>>>>
>>>>> Thanks in advance. I really appreciate being able to use this software.
>>>>>
>>>>> -Brian
>>>>>
>>>>> --
>>>>> Brian Bouterse
>>>>>
>>>>> _______________________________________________
>>>>> users mailing list
>>>>> users at lists.scilab.org
>>>>> http://lists.scilab.org/mailman/listinfo/users
>>>>>
>>>>>
>>>>
>>>> _______________________________________________
>>>> users mailing list
>>>> users at lists.scilab.org
>>>> http://lists.scilab.org/mailman/listinfo/users
>>>>
>>>>
>>>
>>>
>>> --
>>> Brian Bouterse
>>>
>>> _______________________________________________
>>> users mailing list
>>> users at lists.scilab.org
>>> http://lists.scilab.org/mailman/listinfo/users
>>>
>>>
>>
>> _______________________________________________
>> users mailing list
>> users at lists.scilab.org
>> http://lists.scilab.org/mailman/listinfo/users
>>
>>
>
>
> --
> Brian Bouterse
>
> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users
>
>
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From hmmorae at gmail.com  Fri Feb 20 15:57:36 2015
From: hmmorae at gmail.com (Hector Mora)
Date: Fri, 20 Feb 2015 09:57:36 -0500
Subject: [Scilab-users] linux command line
In-Reply-To: <1831192031.366541834.1423673335776.JavaMail.root@zimbra75-e12.priv.proxad.net>
References: <CADj9aBE5qfkOYHGULuL2KwndPK8tJjC1ZoeZ7+R+vMkWwg37xA@mail.gmail.com>
 <1831192031.366541834.1423673335776.JavaMail.root@zimbra75-e12.priv.proxad.net>
Message-ID: <CADj9aBEK-4WBXFbs1tB=k3KKPQHA9YNOkHXSt8GPp5W+g-u4BQ@mail.gmail.com>

Thanks a lot. Ca marche.


2015-02-11 11:48 GMT-05:00 <sgougeon at free.fr>:

> Hello,
>
> >I would like to give, in Scilab, a linux command line. It's possible?
> >
> >For example mv file1.txt file2.txt
>
> yes, you may use one of the unix..() or host() functions:
>
> http://help.scilab.org/docs/5.5.1/en_US/section_7182261dbbb2bb2293bb9166ba5f1fb3.html
>
> Regards
> Samuel
> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users
>
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From huubvanniekerk at yahoo.com  Mon Feb 23 20:34:46 2015
From: huubvanniekerk at yahoo.com (hvn)
Date: Mon, 23 Feb 2015 19:34:46 +0000 (UTC)
Subject: [Scilab-users] plotting 2 robots in same graphic
Message-ID: <mcfvcm$b8u$1@ger.gmane.org>

Hi,

I'm using v 5.5.1 with the Robotics Toolbox and want to display 2 
manipulators in the same graphic. Following the Help and the Toolbox 
demo, I write this code:

//define links
L1 = Link('d',0,'a',1,'alpha',%pi/2);
L2 = Link('d',0,'a',1,'alpha',%pi/4);
L3 = Link('d',0,'a',1,'alpha',%pi/3);
L4 = Link('d',0,'a',1,'alpha',%pi/5);

// create lists
La = list(L1, L2);
Lb = list(L3, L4);

//couple and create robots
bot1 = SerialLink(La, 'name', 'bot1');
//bot2 = SerialLink(Lb, 'name', 'bot2','base',transl(-1, 1, 0));

//define end effector positions
pos1 = [0.1 0.2];
pos2 = [0.2 0.8];

// draw robots
plot_robot(bot1, pos1);
bot2 = SerialLink(Lb, 'name', 'bot2','base',transl(-1, 1, 0));
plot_robot(bot2, pos2)

ending up with 1 manipulator in 1 graphic. What do I do wrong ?

Thanks



From tim at wescottdesign.com  Mon Feb 23 21:06:13 2015
From: tim at wescottdesign.com (Tim Wescott)
Date: Mon, 23 Feb 2015 12:06:13 -0800
Subject: [Scilab-users] plotting 2 robots in same graphic
In-Reply-To: <mcfvcm$b8u$1@ger.gmane.org>
References: <mcfvcm$b8u$1@ger.gmane.org>
Message-ID: <1424721973.2129.168.camel@servo>

On Mon, 2015-02-23 at 19:34 +0000, hvn wrote:
> Hi,
> 
> I'm using v 5.5.1 with the Robotics Toolbox and want to display 2 
> manipulators in the same graphic. Following the Help and the Toolbox 
> demo, I write this code:
> 
> //define links
> L1 = Link('d',0,'a',1,'alpha',%pi/2);
> L2 = Link('d',0,'a',1,'alpha',%pi/4);
> L3 = Link('d',0,'a',1,'alpha',%pi/3);
> L4 = Link('d',0,'a',1,'alpha',%pi/5);
> 
> // create lists
> La = list(L1, L2);
> Lb = list(L3, L4);
> 
> //couple and create robots
> bot1 = SerialLink(La, 'name', 'bot1');
> //bot2 = SerialLink(Lb, 'name', 'bot2','base',transl(-1, 1, 0));
> 
> //define end effector positions
> pos1 = [0.1 0.2];
> pos2 = [0.2 0.8];
> 
> // draw robots
> plot_robot(bot1, pos1);
> bot2 = SerialLink(Lb, 'name', 'bot2','base',transl(-1, 1, 0));
> plot_robot(bot2, pos2)
> 
> ending up with 1 manipulator in 1 graphic. What do I do wrong ?

I have no direct experience with that toolbox, but if you're ending up
with a drawing of the second bot's manipulator each time, "plot_robot"
probably clears the figure before plotting.

A quick tour of the plot_robot code may tell you if that's happening.
It's probably in a file called plot_robot.sci, if the authors of the
toolbox have adhered to the naming conventions.

If there's a way of plucking the contents out of one graphic and
inserting them into another that may be a work-around.  You'd have two
plots, but at least one would have what you want.  I don't know if that
is possible -- but I'd ask the question here, and see what response I
got.

-- 

Tim Wescott
www.wescottdesign.com
Control & Communications systems, circuit & software design.
Phone: 503.631.7815
Cell:  503.349.8432



From tim at wescottdesign.com  Tue Feb 24 22:38:40 2015
From: tim at wescottdesign.com (Tim Wescott)
Date: Tue, 24 Feb 2015 13:38:40 -0800
Subject: [Scilab-users] Large variables and execution speeds
Message-ID: <1424813920.2129.194.camel@servo>


I have an algorithm that I'm working on that involves having large data
sets, which I'm currently representing as tlists.  Due to the
constraints of the algorithm, I'm doing many calls that are more or less
of the form:

my_tlist = some_function(my_tlist);

The intent is to get the same effect that I would get if I were in C or
C++, and wrote:

some_function(& my_structure);

or

my_class.some_function();

It appears, from the significant loss of execution speed when I do this,
that Scilab is copying the results of the function into the "my_tlist"
variable byte by byte.

At this writing, the only way that I can see to fix this is to invoke
the function as:

some_function("my_tlist");

and then wherever I modify data have use an exec function, i.e., replace

local_tlist.some_field = stuff;

with

exec(msprintf("%s = stuff", local_tlist_name));

This seems clunky in the extreme.

Is there another way to do something like this that doesn't force Scilab
to copy large chunks of data needlessly, but allows me to operate on
multiple copies of similar tlists?

Thanks.

-- 

Tim Wescott
www.wescottdesign.com
Control & Communications systems, circuit & software design.
Phone: 503.631.7815
Cell:  503.349.8432



From clement.david at scilab-enterprises.com  Wed Feb 25 09:16:31 2015
From: clement.david at scilab-enterprises.com (=?ISO-8859-1?Q?Cl=E9ment?= David)
Date: Wed, 25 Feb 2015 09:16:31 +0100
Subject: [Scilab-users] Large variables and execution speeds
In-Reply-To: <1424813920.2129.194.camel@servo>
References: <1424813920.2129.194.camel@servo>
Message-ID: <1424852191.2265.9.camel@scilab-enterprises.com>

Hello Tim,

Yes, the copies are there as Scilab does not allow to pass data by
reference but only by copy.

To avoid extra copy when using tlist, you have to avoid data resize
which is really costly. When writing :

local_tlist.some_field = stuff;

There is no performance penalty if 'some_field' and 'stuff' have the
same datatype and size. Scilab will be able to simply reuse the
allocated space.

However using a tlist rhs/lhs force a copy which is not needed, using
named arguments let the interpreter avoid some copies.

For a complete bench, see the attached file.

Le mardi 24 f?vrier 2015 ? 13:38 -0800, Tim Wescott a ?crit :
> I have an algorithm that I'm working on that involves having large data
> sets, which I'm currently representing as tlists.  Due to the
> constraints of the algorithm, I'm doing many calls that are more or less
> of the form:
> 
> my_tlist = some_function(my_tlist);
> 
> The intent is to get the same effect that I would get if I were in C or
> C++, and wrote:
> 
> some_function(& my_structure);
> 
> or
> 
> my_class.some_function();
> 
> It appears, from the significant loss of execution speed when I do this,
> that Scilab is copying the results of the function into the "my_tlist"
> variable byte by byte.
> 
> At this writing, the only way that I can see to fix this is to invoke
> the function as:
> 
> some_function("my_tlist");
> 
> and then wherever I modify data have use an exec function, i.e., replace
> 
> local_tlist.some_field = stuff;
> 
> with
> 
> exec(msprintf("%s = stuff", local_tlist_name));
> 
> This seems clunky in the extreme.
> 
> Is there another way to do something like this that doesn't force Scilab
> to copy large chunks of data needlessly, but allows me to operate on
> multiple copies of similar tlists?
> 
> Thanks.
> 

--
Cl?ment
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From js.stoezel at gmail.com  Wed Feb 25 15:33:48 2015
From: js.stoezel at gmail.com (Jean-Sebastien Stoezel)
Date: Wed, 25 Feb 2015 07:33:48 -0700 (MST)
Subject: [Scilab-users] Save hypermatrix in matlab format
In-Reply-To: <1405598368070-4030930.post@n3.nabble.com>
References: <1405431883405-4030916.post@n3.nabble.com>
 <53C6313A.8020400@laas.fr> <1405518015497-4030925.post@n3.nabble.com>
 <53C78AC1.8060904@laas.fr> <1405598368070-4030930.post@n3.nabble.com>
Message-ID: <1424874828155-4031745.post@n3.nabble.com>

Hi:

I'd like to revive this thread as I am having the same problem as originally
reported.

I need to modify a mat file that was potentially generated by mat file. When
I load it using loadmatfile, several variables and objects a created,
including hypermatrixes. I get the same error as originally reported, when I
try to save these objects (including the hypermatric) back into the mat
file.

Is there a way to load a mat file without generating hypermatrixes?
Is there a way to convert hypermatrixes into objects that can be saved into
a mat file?

Regards,
JS




--
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From tim at wescottdesign.com  Wed Feb 25 20:20:37 2015
From: tim at wescottdesign.com (Tim Wescott)
Date: Wed, 25 Feb 2015 11:20:37 -0800
Subject: [Scilab-users] Large variables and execution speeds
In-Reply-To: <1424852191.2265.9.camel@scilab-enterprises.com>
References: <1424813920.2129.194.camel@servo>
 <1424852191.2265.9.camel@scilab-enterprises.com>
Message-ID: <1424892037.2129.207.camel@servo>

I'm specifically hoping to avoid just exchanging pieces of the top-level
object, because it's pretty abstract -- I need to count on it doing
something generally similar, but possibly entirely different in the
details.

I realized, however, that I'm storing some pretty big arrays (several
arrays of 1,000,000 words each is big, yes?) in there where I only need
to store buffers -- I'm going to rearrange my code, which I think and
hope should dramatically speed things up.

On Wed, 2015-02-25 at 09:16 +0100, Cl?ment David wrote:
> Hello Tim,
> 
> Yes, the copies are there as Scilab does not allow to pass data by
> reference but only by copy.
> 
> To avoid extra copy when using tlist, you have to avoid data resize
> which is really costly. When writing :
> 
> local_tlist.some_field = stuff;
> 
> There is no performance penalty if 'some_field' and 'stuff' have the
> same datatype and size. Scilab will be able to simply reuse the
> allocated space.
> 
> However using a tlist rhs/lhs force a copy which is not needed, using
> named arguments let the interpreter avoid some copies.
> 
> For a complete bench, see the attached file.
> 
> Le mardi 24 f?vrier 2015 ? 13:38 -0800, Tim Wescott a ?crit :
> > I have an algorithm that I'm working on that involves having large data
> > sets, which I'm currently representing as tlists.  Due to the
> > constraints of the algorithm, I'm doing many calls that are more or less
> > of the form:
> > 
> > my_tlist = some_function(my_tlist);
> > 
> > The intent is to get the same effect that I would get if I were in C or
> > C++, and wrote:
> > 
> > some_function(& my_structure);
> > 
> > or
> > 
> > my_class.some_function();
> > 
> > It appears, from the significant loss of execution speed when I do this,
> > that Scilab is copying the results of the function into the "my_tlist"
> > variable byte by byte.
> > 
> > At this writing, the only way that I can see to fix this is to invoke
> > the function as:
> > 
> > some_function("my_tlist");
> > 
> > and then wherever I modify data have use an exec function, i.e., replace
> > 
> > local_tlist.some_field = stuff;
> > 
> > with
> > 
> > exec(msprintf("%s = stuff", local_tlist_name));
> > 
> > This seems clunky in the extreme.
> > 
> > Is there another way to do something like this that doesn't force Scilab
> > to copy large chunks of data needlessly, but allows me to operate on
> > multiple copies of similar tlists?
> > 
> > Thanks.
> > 
> 
> --
> Cl?ment

-- 

Tim Wescott
www.wescottdesign.com
Control & Communications systems, circuit & software design.
Phone: 503.631.7815
Cell:  503.349.8432



From joodlink at hotmail.com  Fri Feb 27 07:53:34 2015
From: joodlink at hotmail.com (Joo Cat)
Date: Fri, 27 Feb 2015 14:53:34 +0800
Subject: [Scilab-users] Handling a very long Java method name
Message-ID: <BLU182-W556A86393B14AA4C8BAFA5C1150@phx.gbl>

I have a Java class that has a very long method name. When using the method, Scilab will give a warning and truncates the method to fit 24 characters. As a result, I will get an error saying that it is an invalid field. Is there a way to overcome this? Thanks. 

--> A = MyClass.new()
--> B = A.thisIsAVeryVeryLongMethodName(5)
Warning :
The identifier : thisIsAVeryVeryLongMethodName
 has been truncated to: thisIsAVeryVeryLongMetho.

 !--error 999 
%_EObj_e: An error occurred: Exception when calling Java method : Invalid field ThisIsAVeryVeryLongMetho
 at org.scilab.modules.external_objects_java.ScilabJavaObject.extract(Unknown Source)
Invalid field ThisIsAVeryVeryLongMetho
 at org.scilab.modules.external_objects_java.ScilabJavaObject.extract(Unknown Source)

 		 	   		  
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From joodlink at hotmail.com  Fri Feb 27 08:05:01 2015
From: joodlink at hotmail.com (Joo Cat)
Date: Fri, 27 Feb 2015 15:05:01 +0800
Subject: [Scilab-users] Handling a very long Java method name
In-Reply-To: <BLU182-W556A86393B14AA4C8BAFA5C1150@phx.gbl>
References: <BLU182-W556A86393B14AA4C8BAFA5C1150@phx.gbl>
Message-ID: <BLU182-W281290CCDD9AC98CB750E6C1150@phx.gbl>

Found a workaround. Using jinvoke allows you to use the method! 

A = MyClass.new()
B = jinvoke(A,"thisIsAVeryVeryLongMethodName",5)

From: joodlink at hotmail.com
To: users at lists.scilab.org
Date: Fri, 27 Feb 2015 14:53:34 +0800
Subject: [Scilab-users] Handling a very long Java method name




I have a Java class that has a very long method name. When using the method, Scilab will give a warning and truncates the method to fit 24 characters. As a result, I will get an error saying that it is an invalid field. Is there a way to overcome this? Thanks. 

--> A = MyClass.new()
--> B = A.thisIsAVeryVeryLongMethodName(5)
Warning :
The identifier : thisIsAVeryVeryLongMethodName
 has been truncated to: thisIsAVeryVeryLongMetho.

 !--error 999 
%_EObj_e: An error occurred: Exception when calling Java method : Invalid field ThisIsAVeryVeryLongMetho
 at org.scilab.modules.external_objects_java.ScilabJavaObject.extract(Unknown Source)
Invalid field ThisIsAVeryVeryLongMetho
 at org.scilab.modules.external_objects_java.ScilabJavaObject.extract(Unknown Source)

 		 	   		  

_______________________________________________
users mailing list
users at lists.scilab.org
http://lists.scilab.org/mailman/listinfo/users 		 	   		  
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From vincent.couvert at scilab-enterprises.com  Fri Feb 27 09:25:42 2015
From: vincent.couvert at scilab-enterprises.com (Vincent COUVERT)
Date: Fri, 27 Feb 2015 09:25:42 +0100
Subject: [Scilab-users] Colour information for Scilab plots
In-Reply-To: <54855EF3.2080704@laas.fr>
References: <1417797033651-4031516.post@n3.nabble.com>
 <54855EF3.2080704@laas.fr>
Message-ID: <54F02A06.7020502@scilab-enterprises.com>

Hello,

Bug #12788 (http://bugzilla.scilab.org/show_bug.cgi?id=12788) has been 
fixed in Scilab by a JoGL update to version 2.2.4.

The fix is available in current nightly-build versions: 
http://www.scilab.org/en/development/nightly_builds

Regards.

On 12/08/2014 09:18 AM, Antoine Monmayrant wrote:
> On 12/05/2014 05:30 PM, Elweas wrote:
>>  From which file(s) do Scilab fetch information on how to generate 
>> colours in
>> a Win 7 environment?
>>
>> When I got my computer running again after its crash, I found that 
>> Scilab is
>> no longer capable of generating the full set of colours in plots 
>> (blue and
>> green are missing or very faint).
>> I have removed and re-installed Scilab (completely emptying and 
>> removing the
>> install directory) but that has not helped. Of my programs, it is only
>> Scilab that has this problem, at least that I have found so far.
>>
>> Where on a Windows 7 32-bit system should I check for a damaged file?
>
> It seems to me that you have a problem with the driver of your videocard.
> We had a similar issue here (plots were in shades of red/pink) and it 
> was due to the videodriver.
> Here is the bug: http://bugzilla.scilab.org/show_bug.cgi?id=12788
> From what I remember it was not limited to scilab and also affected 
> some of the applications that use OpenGL.
>
> Hope it helps,
>
> Antoine
>
>>
>>
>>
>> -- 
>> View this message in context: 
>> http://mailinglists.scilab.org/Colour-information-for-Scilab-plots-tp4031516.html
>> Sent from the Scilab users - Mailing Lists Archives mailing list 
>> archive at Nabble.com.
>> _______________________________________________
>> users mailing list
>> users at lists.scilab.org
>> http://lists.scilab.org/mailman/listinfo/users
>>
>
>
> _______________________________________________
> users mailing list
> users at lists.scilab.org
> http://lists.scilab.org/mailman/listinfo/users



From and.nardone at gmail.com  Fri Feb 27 17:25:21 2015
From: and.nardone at gmail.com (Andrea)
Date: Fri, 27 Feb 2015 16:25:21 +0000 (UTC)
Subject: [Scilab-users] Scilab NB building & compiling
References: <000b01ce8b0d$662bb820$32832860$@carrico@free.fr>
 <24273.0401609608$1375097538@news.gmane.org>
Message-ID: <loom.20150227T172245-614@post.gmane.org>

Paul Carrico <paul.carrico at ...> writes:

> 
> 
> Dear all
> ?
> After some difficulties, I passed the first step i.e. building scilab
> NB: I failed building scilab including GUI because of flexbook issue while
I?ve been using the latest one
> ?
> On the next step i.e. the compiling, it failed due to javac issues (see
attachment) ?: is there a specific release for the Nightly build release ?
> ?
> Paul
> 

> _______________________________________________
> users mailing list
> users at ...
> http://lists.scilab.org/mailman/listinfo/users
> 


I hope you solved by now. Didn't you? In case you didn't, I gave up and just
did the configure script with the option: --disable-build-help. That is also
said in their documentation:

http://wiki.scilab.org/Description%20of%20configure%20options

If you find another solution, can you please share? Thanks!


From clemgill at club-internet.fr  Sat Feb 28 08:33:13 2015
From: clemgill at club-internet.fr (Clemgill)
Date: Sat, 28 Feb 2015 00:33:13 -0700 (MST)
Subject: [Scilab-users] Modnum & Xcos
In-Reply-To: <1380696260.1703.5.camel@paros>
References: <1380273388.2918.2.camel@pf-X58-USB3>
 <1380616167.5839.4.camel@paros> <1380656911.2865.15.camel@pf-X58-USB3>
 <1380696260.1703.5.camel@paros>
Message-ID: <1425108793933-4031752.post@n3.nabble.com>

Hi all, 
Any news on the availability of MODNUM converted to XCOS? 
I am interested in the PLL palette. 
Thx much, 
Gilles. 



--
View this message in context: http://mailinglists.scilab.org/Scilab-users-Modnum-Xcos-tp4027491p4031752.html
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