[Scilab-users] Sundials module, Windows preview

[Stéphane Mottelet]

Hi Michael,

Le 15/05/2022 à 16:05, Michael J. McCann a écrit :
> Currently I'm not using the ODE solvers but it's an area of interest 
> since mathematical modelling is the core of my business. I'd like to 
> see that in Xcos I can get the full range of ODE solvers (at least for 
> 'real-only' as distinct from 'complex-number' issues).
>
In fact among actual available solvers in Sundials, the only missing in 
Xcos is ARK/ERKODE, since IDA and CVODE are already available. We 
already have a few Runge-Kutta methods but this is a home made 
fixed-stepimplementation of these, hence the integration in Xcos could 
be the next step if new solvers are really needed.

S.
>
> On 13/05/2022 12:03, Federico Miyara wrote:
>>
>> 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
>>>
>>> _______________________________________________
>>> users mailing list
>>> users at lists.scilab.org
>>> http://lists.scilab.org/mailman/listinfo/users
>>
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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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