Re: [Scilab-users] Sundials module, Windows preview

2022-05-17 Thread 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

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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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Re: [Scilab-users] Sundials module, Windows preview

2022-05-16 Thread Stéphane Mottelet 

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 
<https://antispam.utc.fr/proxy/v3?i=Z09lbVhROVBaOHd3NjZZMVfTogSUUCLtvQYv_TI7-Qg=eVVJWkdic3NtZTdZV2pycc8oEJBVcQfwoAgOILbixruFQP-mXZOvGI-Awo-iPm4W=UU9IMnpkdmJmSk9YOHVtc4JNomkUGubf8DA_bzrUn-Hiq5VuGo_VlJP1TQC7yyVL=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=eFRI>



OK maybe should I create a dedicated page... thanks for the remark

S.

*De :*users  *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=eVVJWkdic3NtZTdZV2pycc8oEJBVcQfwoAgOILbixruFQP-mXZOvGI-Awo-iPm4W=UU9IMnpkdmJmSk9YOHVtc4JNomkUGubf8DA_bzrUn-Hiq5VuGo_VlJP1TQC7yyVL=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=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=eVVJWkdic3NtZTdZV2pycc8oEJBVcQfwoAgOILbixruFQP-mXZOvGI-Awo-iPm4W=UU9IMnpkdmJmSk9YOHVtc4JNomkUGubf8DA_bzrUn-Hiq5VuGo_VlJP1TQC7yyVL=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=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  
<https://antispam.utc.fr/proxy/v3?i=Z09lbVhROVBaOHd3NjZZMVfTogSUUCLtvQYv_TI7-Qg=eVVJWkdic3NtZTdZV2pycc8oEJBVcQfwoAgOILbixruFQP-mXZOvGI-Awo-iPm4W=UU9IMnpkdmJmSk9YOHVtc4JNomkUGubf8DA_bzrUn-Hiq5VuGo_VlJP1TQC7yyVL=https%3

Re: [Scilab-users] Sundials module, Windows preview

2022-05-15 Thread Michael J. McCann 
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).



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

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Re: [Scilab-users] Sundials module, Windows preview

2022-05-13 Thread Federico Miyara 


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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Re: [Scilab-users] Sundials module, Windows preview

2022-05-13 Thread CHEZE David 227480 
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=T0hnMlUyVEgwNmlmdHc1NTiGTQVgIg9a1MYkHb_GeosOO-jCQ_NnAucfYCLceioT=V3p0eFlQOUZ4czh2enpJS67gBdM2WVME2HqVPefA4FpGU6HeKhrEzrhzAHs-d_Wu=https%3A//www.utc.fr/~mottelet/scilab_for_macOS.html=ZVd0>


De : users  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=T0hnMlUyVEgwNmlmdHc1NTiGTQVgIg9a1MYkHb_GeosOO-jCQ_NnAucfYCLceioT=V3p0eFlQOUZ4czh2enpJS67gBdM2WVME2HqVPefA4FpGU6HeKhrEzrhzAHs-d_Wu=https%3A//www.utc.fr/~mottelet/scilab/sundials/=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=T0hnMlUyVEgwNmlmdHc1NTiGTQVgIg9a1MYkHb_GeosOO-jCQ_NnAucfYCLceioT=V3p0eFlQOUZ4czh2enpJS67gBdM2WVME2HqVPefA4FpGU6HeKhrEzrhzAHs-d_Wu=https%3A//www.utc.fr/~mottelet/scilab_for_macOS.html=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=T0hnMlUyVEgwNmlmdHc1NTiGTQVgIg9a1MYkHb_GeosOO-jCQ_NnAucfYCLceioT=V3p0eFlQOUZ4czh2enpJS67gBdM2WVME2HqVPefA4FpGU6HeKhrEzrhzAHs-d_Wu=http%3A//www.utc.fr/~mottelet=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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Re: [Scilab-users] Sundials module, Windows preview

2022-05-13 Thread Stéphane Mottelet 

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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