Stéphane,
I don't regularly use ODE solvers for the time being, but I think any
improvement is valuable and is worth the effort. The lack or paucity of
feedback in this list is not an evidence of lack of interest for the
Scilab users community. It may also encourage other potential users to
move to Scilab. I'm grateful for your effort and feel reassured that in
the event I need the feature, I'll have better solvers.
Regards,
Federico Miyara
On 13/05/2022 11:45, Stéphane Mottelet wrote:
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/ 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
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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