mwcsr: Solvers for Maximum Weight Connected Subgraph Problem and Its
Variants
Algorithms for solving various Maximum
Weight Connected Subgraph Problems, including variants with
budget constraints, cardinality constraints, weighted edges and signals.
The package represents an R interface to high-efficient solvers based on
relax-and-cut approach (Álvarez-Miranda E., Sinnl M. (2017) <doi:10.1016/j.cor.2017.05.015>)
mixed-integer programming (Loboda A., Artyomov M., and Sergushichev A. (2016) <doi:10.1007/978-3-319-43681-4_17>)
and simulated annealing.
| Version: |
0.1.6 |
| Depends: |
R (≥ 3.5) |
| Imports: |
methods, igraph, Rcpp |
| LinkingTo: |
Rcpp |
| Suggests: |
knitr, rmarkdown, mathjaxr, testthat, BioNet, roxygen2, DLBCL |
| Published: |
2022-07-12 |
| Author: |
Alexander Loboda [aut, cre],
Nikolay Poperechnyi [aut],
Eduardo Alvarez-Miranda [aut],
Markus Sinnl [aut],
Alexey Sergushichev [aut],
Paul Hosler Jr. [cph] (Bundled JOpt Simple package),
www.hamcrest.org [cph] (Bundled hamcrest package),
Barak Naveh and Contributors [cph] (Bundled JGraphT package),
The Apache Software Foundation [cph] (Bundled Apache Commons Math
package) |
| Maintainer: |
Alexander Loboda <aleks.loboda at gmail.com> |
| BugReports: |
https://github.com/ctlab/mwcsr/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/ctlab/mwcsr |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11, Java (>=8) |
| Materials: |
README |
| CRAN checks: |
mwcsr results |
Documentation:
Downloads:
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