Re: [eigen] compile-time multidimensional arrays

[Emanuele Ruffaldi <e.ruffaldi@xxxxxxxx>]

Hi Christoph,

thanks for pointing me at the TensorFixedSize class. The proposed 
multidim has more power on slicing/viewing the multidimensional data 
manipulating size/steps pairs.
At the same time multidim storage is based on Eigen Matrix while Tensor 
starts from scratch (C++ array of T).

Also for the offset computation I played a bit with metaprogramming, 
while in Tensor it seems to be relying in inlining via instantiation of 
std::array (linearizedIndex).

Best Regards,

Emanuele

Il 21/07/15 11:10, Christoph Hertzberg ha scritto:
> Hi,
>
> I did not have a look at your source yet, but can you tell if it 
> significantly differs from the existing (unsupported) Tensor code 
> (namely TensorFixedSize)?
> The existing Tensor code is far from being feature-complete or stable 
> at the moment, so any feature requests or API changes are at least 
> open for debate.
>
>
> Christoph
>
> On 21.07.2015 at 09:37, Emanuele Ruffaldi wrote:
> > Dear Eigen members,
> >
> > I have drafted a compile-time multidimensional array class based on
> > C++11 parameter packs, using Eigen for underlying math operations.
> >
> > It would be interesting to have some comments on the approach taken:
> >
> > Post:
> > http://teslacore.blogspot.it/2015/07/compile-time-c-multidimensional-arrays.html 
> >
> >
> > Code: https://github.com/eruffaldi/multidimcxx
> >
> > Best Regards,
> > Emanuele Ruffaldi

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Emanuele Ruffaldi, Ph.D.     Assistant Professor
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