[Scilab-users] fmincon toolbox update

Sat Jun 5 15:18:39 CEST 2021

Thanks Stéphane for your quick answer

I have tried installing fmincon first, then scicolpack (it works), then
sci_ipopt  and it does not work: only
file sci_ipopt_1.3.bin.x64.Windows.zipis downloaded. So it seems:
- first that dependencies are not deal with for the fmincon distribution
that Atoms uses;
- second, that there is some problem using Atoms for loading  sci_ipopt

Maybe I should not use Atoms, but when it works it is the most convenient
way to download a module.

Éric

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Le sam. 5 juin 2021 à 14:06, Stéphane Mottelet <stephane.mottelet at utc.fr> a
écrit :

> Hi Eric,
>
> Could you be more precise ? I have I installed fmincon on at least 10
> different machines for testing purposes  (mostly under Windows 10) and did
> not encounter any problem. Atoms is, I must say, a very unstable (not to
> say crappy) piece of software and in particular very hard to use smoothly
> when your are developing some modules and play e.g. with offline mode.
>
> What I would do first is to uninstall every module then install fmincon.
> If problem is still here please help me by debugging a bit...
>
> S.
>
> Le 5 juin 2021 à 11:29, Éric Dubois <grocer.toolbox at gmail.com> a écrit :
>
> 
> Hello Stéphane
>
> This seems very interesting, but download through Atoms does not work (at
> least for me: I use Scilab 6.1.0 under Windows 10): dependencies
> (Sci-colpac, Sci-IPOt, for those I have noticed) are not dealt with.
> Moreover, trying to install Sci-IPOt with Atoms fails. By the way it makes
> also make fail lthe oading of  any module that could have been installed
> with Atoms, which reveals an undesirable feature of Atoms: failure to load
> a module should not prevent the loading of other ones.
>
> Best regards,
>
> Éric
>
>
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> Le mar. 1 juin 2021 à 12:21, Stéphane Mottelet <stephane.mottelet at utc.fr>
> a écrit :
>
>> Hi,
>>
>> Le 01/06/2021 à 09:53, CHEZE David 227480 a écrit :
>> > Dear Stephane,
>> >
>> > Thank you for offering these enhanced capabilities in Scilab, fmincon
>> and SciIPOpt. I'm about giving a try in comparison with leastsq(), on
>> dynamic model parameter (~5-10) calibration purpose, based on measurement
>> deviation, as time series (250 to >1000 samples). In general for fmincon
>> and SciIPOpt, may I provide the objective function with inputs argument
>> through the list() syntax like objf=list(myofunction,x,in1,in2,..) ?
>>
>> Yes, you have such an example in the fitting demo ;
>>
>>
>> https://gitlab.com/esi-group/scilab/forge/fmincont/-/blob/master/demos/fmincon_fit.sce
>>
>> S.
>>
>> >
>> > Thank you for your advice,
>> >
>> > David
>> >
>> >
>> > -----Message d'origine-----
>> > De : users <users-bounces at lists.scilab.org> De la part de Stéphane
>> Mottelet
>> > Envoyé : lundi 19 avril 2021 10:43
>> > À : Users mailing list for Scilab <users at lists.scilab.org>
>> > Objet : [Scilab-users] fmincon toolbox update
>> >
>> > Hi all,
>> >
>> > I would like to inform you that the fmincon toolbox has been updated
>> > (
>> https://antispam.utc.fr/proxy/v3?i=cWdzUmRSM0ZiRHpoUDkxTSw3-90dQgKDkqmWWemZ6js&r=WXNQOUY5VXRSNUlTdlVTTgAgPzRHrDev93-c71JTxG3gYERdftx8enpEGCicW5Zy&f=R0pWUVNEaUFuMTBCTlptbqaYxU0NWnHz-Aov_fSSM1D4vfIz2L0jb50-moW0RphD&u=https%3A//atoms.scilab.org/toolboxes/fmincon/1.0.2&k=8YLU)
>> and now includes a major feature:  the Efficient Computation of Sparse
>> Hessian using Coloring algorithm (scicolpack is now a  dependency of
>> fmincon). This feature was missing and now allows fmincon to consider
>> really big problems. A example of such is given in the "minimal surface
>> demo" which compares 3 different approaches of the problem: one with finite
>> differences gradient, and BFGS Hessian, one with exact gradient and BFGS
>> Hessian, and the last with exact gradient and finite differences sparse
>> Hessian. The time factor between the first and the third approchach is
>> around 200 for a 21x21 square but you can edit the demo file and increase
>> this value. For a 51x51 square the third approach takes only
>> > 0.45 seconds and is 2500 times faster. For a 101x101 square the first
>> approach takes forever and the third ones takes less than 2 seconds and is
>> still 10 times faster than the second one.
>> >
>> > If some of you still use other softwares for large scale optimization,
>> maybe you can now give Scilab a try. If you need a better control on
>> parameters and/or if you are not a former/actual user of Matlab's fmincon,
>> I recommend using directly ipopt (from sci_ipopt toolbox). But the fmincon
>> api is quite easy to use. Don't hesitate to took at the code of the several
>> new demos.
>> >
>> > Don't hesitate to contact me if you have some problems using fmincon of
>> just to say that you are using it with success !
>> >
>> > Regards,
>> >
>> > --
>> > Stéphane Mottelet
>> > Ingénieur de recherche
>> > EA 4297 Transformations Intégrées de la Matière Renouvelable
>> Département Génie des Procédés Industriels Sorbonne Universités -
>> Université de Technologie de Compiègne CS 60319, 60203 Compiègne cedex Tel
>> : +33(0)344234688
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>> >
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>>
>> --
>> Stéphane Mottelet
>> Ingénieur de recherche
>> EA 4297 Transformations Intégrées de la Matière Renouvelable
>> Département Génie des Procédés Industriels
>> Sorbonne Universités - Université de Technologie de Compiègne
>> CS 60319, 60203 Compiègne cedex
>> Tel : +33(0)344234688
>> http://www.utc.fr/~mottelet
>>
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