[Rcpp-devel] Dulmage-Mendelsohn decomposition in R via Rcpp
Mauricio Vargas
mvargas at dcc.uchile.cl
Wed Mar 25 16:55:11 CET 2020
Thanks a lot.
After reading that DM decomposition can be eventually be added to Matrix,
the toyectic package becomes useless by definition,
so that repo is discarded right away.
It could be great to have Matrix::dulmage_mendelsohn() to do something
similar as what you would do in octave/matlab/python.
And once again, I never used Rcpp on a scale that is not "elemental".
Best,
——————
*Mauricio 'Pachá' Vargas Sepúlveda*
Site: pacha.dev
Blog: pacha.dev/blog
On Wed, Mar 25, 2020 at 10:18 AM Dirk Eddelbuettel <edd at debian.org> wrote:
>
> Mauricio,
>
> On 25 March 2020 at 10:06, Mauricio Vargas wrote:
> | Dear Dr. Maechler
> |
> | Thanks a lot.
> |
> | You can find the code here:
> |
> https://github.com/pachamaltese/dulmagemendelsohn/blob/master/src/cs_dmperm.c
> |
> | And this part is already in Matrix:
> | https://github.com/pachamaltese/dulmagemendelsohn/blob/master/src/cs.h
> |
> | You are right about the tangent with respect to Rcpp.
> |
> | So far, I cannot make it work in R, but it works from shell, so I really
> | appreciate your interest to make the code reproducible.
>
> You should be able to find several articles at the Rcpp Gallery that show
> hot
> to do that. You can "practice" with functions from packages that are
> already
> exported as Martin may be able to export one for you. To expect Martin,
> who
> doesn't even code much in C++, to fix your package for you may not be an
> entirely realistic, or fair, expectation.
>
> Dirk
>
> |
> | Best,
> |
> | —————
> |
> | *Mauricio Vargas Sepúlveda 帕夏*
> | Do you like Data Science? visit pacha.hk
> | 你爱科学数据专吗？你走pacha.hk
> |
> |
> | On Wed, Mar 25, 2020 at 8:36 AM Martin Maechler <
> maechler at stat.math.ethz.ch>
> | wrote:
> |
> | >
> | > Dear Mauricio (et al),
> | >
> | > I'm the maintainer of the 'Matrix' package (and just reading
> | > digests of Rcpp-devel, hence no "proper reply").
> | >
> | > This looks quite interesting and relevant to me,
> | > and I'd be interested to add this decomposition to the Matrix
> | > package, so would be happy if you already have code for parts of
> | > it.
> | >
> | > As CSparce, Matrix uses simple C though, and hence this posting
> | > is only peripherally related to Rcpp.
> | >
> | > Best regards,
> | >
> | > Martin Maechler
> | > ETH Zurich and R Core team
> | >
> | >
> | > > Date: Wed, 25 Mar 2020 01:22:16 -0300
> | > > From: Mauricio Vargas <mvargas at dcc.uchile.cl>
> | > > To: rcpp-devel at r-forge.wu-wien.ac.at
> | > > Subject: [Rcpp-devel] Dulmage-Mendelsohn decomposition in R via
> Rcpp
> | >
> | > > Dear community
> | >
> | > > Dr. Eddelbuettel suggested me to ask here.
> | >
> | > > I am trying to implement *Dulmage-Mendelsohn decomposition* in R.
> | > CSparse
> | > > already has a function to do this, and it's not exported in
> Matrix
> | > so I
> | > > took the C files and tried to use them in R.
> | >
> | > > I decided to sketch this into an R Package with Rcpp:
> | > > https://github.com/pachamaltese/dulmagemendelsohn
> | >
> | > > The final goal is to find a permutation matrix, so that the
> original
> | > matrix
> | > > is rearranged into a block diagonal matrix:
> | >
> | > > matrix_input <- matrix(
> | > > c(0,0,7,0,0,
> | > > 0,0,0,0,3,
> | > > 5,0,0,1,0,
> | > > 0,0,2,0,0,
> | > > 0,1,0,0,0),
> | > > ncol = 5, nrow = 5
> | > > )
> | >
> | > > dm_decomposition <- function(matrix_input) {
> | > > # the actual decomposition happens here
> | > > # ... "MAGIC" ...
> | >
> | > > # but here is an example output
> | > > matrix(
> | > > c(0,7,0,0,0,
> | > > 5,0,1,0,0,
> | > > 0,2,0,0,0,
> | > > 0,0,0,0,3,
> | > > 0,0,0,1,0),
> | > > ncol = 5, nrow = 5
> | > > )
> | > > }
> | >
> | > > dm_decomposition(matrix_input)
> | >
> | > > Can you please provide me some guidance to get this working?
> | >
> | > > I am by no means a C/C++ expert, I just have experience with
> | > statistics an
> | > > writing R packages.
> | >
> | >
> | > > *Mauricio Vargas Sepúlveda 帕夏*
> | > > Do you like Data Science? visit pacha.hk
> | >
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