Re: First ever GSL Technical Report (ALFs)

[Mirko Vukovic]

Patrick,

Regarding publishing ... I am not an expert in numerical analysis and
literature, so my comments may be off here. Still,

In your memory layout and access optimization section  (Section 5) you do
not cite any prior literature on this technique applied to Legendre
Polynomial evaluation.

This suggests that your approach is novel and therefore merits publication.

Thanks (for reading this, and for writing the very nice report)

Mirko

On Thu, Feb 17, 2022 at 1:25 AM Patrick Alken <alken@colorado.edu> wrote:

> Thanks Mark,
>
>    I don't think it is suitable for publication in a journal. There is
> nothing novel here, its just technical details of how to calculate ALFs
> efficiently.
>
> I'll see if I can fix the formatting issue on eq. 36. Its a good idea to
> cite GSL, I will add that :)
>
> Patrick
>
> On 2/16/22 22:51, Mark Galassi wrote:
> > Patrick, this is a great paper.  It shows the same care you apply to
> maintaining gsl.  The writing is also very clear, and I love the table of
> acronyms :-).  Do you plan to submit for publication in a numerical
> analysis journal, or submit to the arXiv?
> >
> > The only previous quasi-report had been the ongoing design document that
> I kept going with James and Brian in the early years, but it is a working
> design doc, not anything of the scope you have shown here.
> >
> > Tiny suggestions: alignment of equation 36 on page 5: "l >= 1" could be
> moved quite a bit to the left.  Maybe an extra & to make it match the start
> of the l >= 1, m > 0.
> >
> > You might also want to also cite the reference manual (as we ask people
> to do when they use gsl :-) ).  A recent bibtex skeleton on that is the
> 2019 Network Theory edition.
> >
> > @book{gslteam2019gnuscientificlibrary,
> >    title={GNU Scientific Library Reference Manual},
> >    author={Galassi, Mark and Davies, Jim and Theiler, James and Gough,
> Brian and Jungman, Gerard and Alken, Patrick and Booth, Michael and Rossi,
> Fabrice and Ulerich, Rhys},
> >    year={2019},
> >    isbn={9780954612078},
> >    publisher={Network Theory Limited}
> > }
>
>