Re: odeset/odeget

[Jacopo Corno]

Il 24/07/2016 20:01, Olaf Till ha scritto:
> On Sun, Jul 24, 2016 at 06:08:42AM +0000, Francesco Faccio wrote:
> > Dear all,
> >
> > as discussed with Carlo, Jacopo and Marco, we would like to modify
> > functions odeset and odeget in order to allow the user to add new
> > fields required by some particular solver and to standardize the
> > input check to avoid code duplication.
> >
> > The first idea we had was to use function validateattributes or, for
> > complex input checking, the class inputParser.
> >
> > Are we going to use this strategy or there are some better ways to
> > do that (unfortunately I missed last discussion about it)?  Any
> > suggestion is appreciated.
> I probably didn't follow this discussion, though remember faintly that
> I mentioned the following before:
>
> Why don't odeset/odeget use the same scheme as the already existing
> optimset/optimget/__all_opts__ ? Don't we now have solutions with
> conceptually different code for two problems (optimization and ode
> options) similar enough to use equivalent code?
>
> In the optimget/optimset/__all_opts__ scheme the client functions can
> advertise their options themselves. And the defaults depend on the
> client function, which seems reasonable to me.
>
> Olaf
It's a good idea to look into those function to avoid unnecessary 
hassle. However
I did some tests with Matlab and I found out some differences in how 
optimset
and odeset works there. They should be considered to have compatibility.

First of all optimset allows passing the name of a solver to 
automatically set the
specific options for that solver and its default values, while odeset 
does not have
this feature.

Moreover, optimset seems to perform checks on the values passed and 
returns an
error if the value is incompatible with the field. odeset lets 
everything pass
through. The check on the options validity is performed by some internal 
function
in the solvers themselves.

Cheers,
Jacopo


--
Jacopo Corno M.Sc.
Technische Universität Darmstadt
Graduate School of Computational Engineering
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