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 ?

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 ?

David

Ps: windows users might be confused by the url stating only mac_os : 
https://www.utc.fr/~mottelet/scilab_for_macOS.html<https://antispam.utc.fr/proxy/v3?i=SHV0Y1JZQjNyckJFa3dUQiblhF5YcUqtiWCaK_ri0kk&r=T0hnMlUyVEgwNmlmdHc1NTiGTQVgIg9a1MYkHb_GeosOO-jCQ_NnAucfYCLceioT&f=V3p0eFlQOUZ4czh2enpJS67gBdM2WVME2HqVPefA4FpGU6HeKhrEzrhzAHs-d_Wu&u=https%3A//www.utc.fr/~mottelet/scilab_for_macOS.html&k=ZVd0>


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=SHV0Y1JZQjNyckJFa3dUQiblhF5YcUqtiWCaK_ri0kk&r=T0hnMlUyVEgwNmlmdHc1NTiGTQVgIg9a1MYkHb_GeosOO-jCQ_NnAucfYCLceioT&f=V3p0eFlQOUZ4czh2enpJS67gBdM2WVME2HqVPefA4FpGU6HeKhrEzrhzAHs-d_Wu&u=https%3A//www.utc.fr/~mottelet/scilab/sundials/&k=ZVd0>
 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=SHV0Y1JZQjNyckJFa3dUQiblhF5YcUqtiWCaK_ri0kk&r=T0hnMlUyVEgwNmlmdHc1NTiGTQVgIg9a1MYkHb_GeosOO-jCQ_NnAucfYCLceioT&f=V3p0eFlQOUZ4czh2enpJS67gBdM2WVME2HqVPefA4FpGU6HeKhrEzrhzAHs-d_Wu&u=https%3A//www.utc.fr/~mottelet/scilab_for_macOS.html&k=ZVd0>

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<https://antispam.utc.fr/proxy/v3?i=SHV0Y1JZQjNyckJFa3dUQiblhF5YcUqtiWCaK_ri0kk&r=T0hnMlUyVEgwNmlmdHc1NTiGTQVgIg9a1MYkHb_GeosOO-jCQ_NnAucfYCLceioT&f=V3p0eFlQOUZ4czh2enpJS67gBdM2WVME2HqVPefA4FpGU6HeKhrEzrhzAHs-d_Wu&u=http%3A//www.utc.fr/~mottelet&k=ZVd0>



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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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