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Newsgroups: comp.lang.ada
Date: Tue, 9 May 2017 06:20:37 -0700 (PDT)
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Subject: Re: ANN:Ada 2005 Math Extensions 20170427
From: Vincent <vincent.diemunsch@gmail.com>
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Xref: news.eternal-september.org comp.lang.ada:46731
Date: 2017-05-09T06:20:37-07:00
List-Id: <comp.lang.ada>

Le mardi 9 mai 2017 14:49:03 UTC+2, Simon Wright a =C3=A9crit=C2=A0:

> > - AdaLAPACK  : https://sourceforge.net/projects/adalapack/
>=20
> This is a binding, and its interface is explicitly in terms of
> Fortran-convention objects; for example,
>=20
>    type Fortran_Real_Matrix is
>      array (Fortran_Integer range <>, Fortran_Integer range <>) of Real;
>    pragma Convention (Fortran, Fortran_Real_Matrix);
>=20
>    ...

Thank you very much Simon for your kind answer. I will use the third one, t=
he Fortran binding, because I prefer column-major order, for different reas=
ons :
1. It is easier to interface with Fortran solvers (obviously), and many exc=
ellent solvers are still in Fortran.
2. It is easier to interface with Matlab compatible solvers written in C th=
at use sparse matrices in CSC format, since CSC is column-major.
3. It is easier to deal with multidimensionnal arrays that contain matrices=
 (a very common case in scientific computation).
4. It is consistent with little endian ordering.
5. It is the convention in math to see matrices composed of column vectors.=
 Using matrices in row-major order forces you to transpose formulas, and it=
 is a pain.
6. A simple Pragma Convention (Fortran) is enough to transpose to row-major=
 an array manually entered in the source code.

Kind regards,

Vincent