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 <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> Garanti sans virus. www.avast.com <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> Le sam. 5 juin 2021 à 14:06, Stéphane Mottelet <stephane.motte...@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.tool...@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 > > > <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> > Garanti > sans virus. www.avast.com > <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> > <#m_8860848929987197390_DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> > > Le mar. 1 juin 2021 à 12:21, Stéphane Mottelet <stephane.motte...@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-boun...@lists.scilab.org> De la part de Stéphane >> Mottelet >> > Envoyé : lundi 19 avril 2021 10:43 >> > À : Users mailing list for Scilab <users@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 >> https://antispam.utc.fr/proxy/v3?i=cWdzUmRSM0ZiRHpoUDkxTSw3-90dQgKDkqmWWemZ6js&r=WXNQOUY5VXRSNUlTdlVTTgAgPzRHrDev93-c71JTxG3gYERdftx8enpEGCicW5Zy&f=R0pWUVNEaUFuMTBCTlptbqaYxU0NWnHz-Aov_fSSM1D4vfIz2L0jb50-moW0RphD&u=http%3A//www.utc.fr/~mottelet&k=8YLU >> > >> > _______________________________________________ >> > users mailing list >> > users@lists.scilab.org >> > >> https://antispam.utc.fr/proxy/v3?i=cWdzUmRSM0ZiRHpoUDkxTSw3-90dQgKDkqmWWemZ6js&r=WXNQOUY5VXRSNUlTdlVTTgAgPzRHrDev93-c71JTxG3gYERdftx8enpEGCicW5Zy&f=R0pWUVNEaUFuMTBCTlptbqaYxU0NWnHz-Aov_fSSM1D4vfIz2L0jb50-moW0RphD&u=http%3A//lists.scilab.org/mailman/listinfo/users&k=8YLU >> > _______________________________________________ >> > users mailing list >> > users@lists.scilab.org >> > >> https://antispam.utc.fr/proxy/v3?i=cWdzUmRSM0ZiRHpoUDkxTSw3-90dQgKDkqmWWemZ6js&r=WXNQOUY5VXRSNUlTdlVTTgAgPzRHrDev93-c71JTxG3gYERdftx8enpEGCicW5Zy&f=R0pWUVNEaUFuMTBCTlptbqaYxU0NWnHz-Aov_fSSM1D4vfIz2L0jb50-moW0RphD&u=http%3A//lists.scilab.org/mailman/listinfo/users&k=8YLU >> >> -- >> 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 >> >> _______________________________________________ >> users mailing list >> users@lists.scilab.org >> http://lists.scilab.org/mailman/listinfo/users >> > _______________________________________________ > users mailing list > users@lists.scilab.org > http://lists.scilab.org/mailman/listinfo/users > > _______________________________________________ > users mailing list > users@lists.scilab.org > http://lists.scilab.org/mailman/listinfo/users >
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