rspa: Adapt numerical records to fit (in)equality restrictions with the Successive Projection Algorithm

Based on (optionally sparse) quadratic optimization with the main algorithms implemented in C. Includes features for easy processing of many (smaller) records. The algorithm has been tested on fairly large optimization problems with up to a few million variables and several hundred thousand restrictions.

Version: 0.1-2
Depends: editrules
Suggests: knitr, testthat
Published: 2013-05-08
Author: Mark van der Loo
Maintainer: Mark van der Loo <mark.vanderloo at gmail.com>
License: GPL-3
URL: https://github.com/markvanderloo/rspa
NeedsCompilation: yes
CRAN checks: rspa results

Downloads:

Package source: rspa_0.1-2.tar.gz
MacOS X binary: rspa_0.1-2.tgz
Windows binary: rspa_0.1-2.zip
Reference manual: rspa.pdf
Vignettes: The rspa package
News/ChangeLog:NEWS
Old sources: rspa archive