Hi,
Le 13/05/2022 à 17:16, CHEZE David 227480 a écrit :
Dear Stephane, I did give a try to windows build, limited to my use
case, and it works like a charm !
I just ran a previous use case with cvode() (solar thermal panel
quasi-dynamic model, comparison with experimental data set ), as it
was written for the external Sundials module you developed previously
(~January 2022) : same performance in execution time as expected since
relying on the same code isn’t it ?
Yes, the Sundials module is mostly based on the Atoms Sundials module,
but many internal improvements have been made since the last release
(upgrade to Sundials 2.6.0 allowing the use of ARKODE, sparse solvers, ...)
I appreciated the improved documentation details and I just started
reading documentation of the new features from the windows Sundials
Scilab builtin : arkode, ida, kinsol : it looks exciting for future
use cases.
Thanks again for introducing these key features, is there any news
about the next Scilab release ?
Not yet
David
Ps: windows users might be confused by the url stating only mac_os :
https://www.utc.fr/~mottelet/scilab_for_macOS.html
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OK maybe should I create a dedicated page... thanks for the remark
S.
*De :*users <users-boun...@lists.scilab.org> *De la part de* Stéphane
Mottelet
*Envoyé :* vendredi 13 mai 2022 16:46
*À :* users@lists.scilab.org
*Objet :* Re: [Scilab-users] Sundials module, Windows preview
Hello,
Did anybody give a try to the Windows build ?
Frankly speaking, if nobody cares about improved numerical methods in
Scilab, things can be left as is, and time could be spent on other
features (but not by me...).
I can also prepare a Linux build, if users of this os want to test...
Regards,
S.
Le 27/04/2022 à 17:32, Stéphane Mottelet a écrit :
Hi all,
The next version of scilab will include a new module "Sundials".
This module provides new full featured ODE solvers: arkode(),
cvode() and DAE solver ida(), all handling complex numbers and
dense/sparse/banded Jacobians. Each solver has specific features,
e.g. ida() handles DAE, arkode() handles mixed implicit/explicit
Runge-Kutta methods and cvode() can do forward sensitivity
computation.
The module also includes a general-purpose nonlinear system
solver: kinsol(), who takes advantage of the module architecture
(parsing, computation engine and SUNDIALS abstraction of various
linear solvers).
Current help pages can be found @
https://www.utc.fr/~mottelet/scilab/sundials/
<https://antispam.utc.fr/proxy/v3?i=Z09lbVhROVBaOHd3NjZZMVfTogSUUCLtvQYv_TI7-Qg&r=eVVJWkdic3NtZTdZV2pycc8oEJBVcQfwoAgOILbixruFQP-mXZOvGI-Awo-iPm4W&f=UU9IMnpkdmJmSk9YOHVtc4JNomkUGubf8DA_bzrUn-Hiq5VuGo_VlJP1TQC7yyVL&u=https%3A//antispam.utc.fr/proxy/v3%3Fi%3DSHV0Y1JZQjNyckJFa3dUQiblhF5YcUqtiWCaK_ri0kk%26r%3DT0hnMlUyVEgwNmlmdHc1NTiGTQVgIg9a1MYkHb_GeosOO-jCQ_NnAucfYCLceioT%26f%3DV3p0eFlQOUZ4czh2enpJS67gBdM2WVME2HqVPefA4FpGU6HeKhrEzrhzAHs-d_Wu%26u%3Dhttps%253A//www.utc.fr/~mottelet/scilab/sundials/%26k%3DZVd0&k=eFRI>
and a *Windows* build of Scilab (in addition to the already
available macOS build) including the new module is available at
https://www.utc.fr/~mottelet/scilab_for_macOS.html
<https://antispam.utc.fr/proxy/v3?i=Z09lbVhROVBaOHd3NjZZMVfTogSUUCLtvQYv_TI7-Qg&r=eVVJWkdic3NtZTdZV2pycc8oEJBVcQfwoAgOILbixruFQP-mXZOvGI-Awo-iPm4W&f=UU9IMnpkdmJmSk9YOHVtc4JNomkUGubf8DA_bzrUn-Hiq5VuGo_VlJP1TQC7yyVL&u=https%3A//antispam.utc.fr/proxy/v3%3Fi%3DSHV0Y1JZQjNyckJFa3dUQiblhF5YcUqtiWCaK_ri0kk%26r%3DT0hnMlUyVEgwNmlmdHc1NTiGTQVgIg9a1MYkHb_GeosOO-jCQ_NnAucfYCLceioT%26f%3DV3p0eFlQOUZ4czh2enpJS67gBdM2WVME2HqVPefA4FpGU6HeKhrEzrhzAHs-d_Wu%26u%3Dhttps%253A//www.utc.fr/~mottelet/scilab_for_macOS.html%26k%3DZVd0&k=eFRI>
The help pages propose a lot of examples and two demos (this
section is to be enriched) are available.
Comments are welcome !
--
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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--
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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--
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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