Package: mwcsr 0.1.9

Alexander Loboda

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.

Authors:Alexander Loboda [aut, cre], Nikolay Poperechnyi [aut], Eduardo Alvarez-Miranda [aut], Markus Sinnl [aut], Alexey Sergushichev [aut], Paul Hosler Jr. [cph], www.hamcrest.org [cph], Barak Naveh and Contributors [cph], The Apache Software Foundation [cph]

mwcsr_0.1.9.tar.gz
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mwcsr_0.1.9.tgz(r-4.4-emscripten)mwcsr_0.1.9.tgz(r-4.3-emscripten)
mwcsr.pdf |mwcsr.html
mwcsr/json (API)

# Install 'mwcsr' in R:
install.packages('mwcsr', repos = c('https://ctlab.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ctlab/mwcsr/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

cplex

5.98 score 7 stars 1 packages 15 scripts 247 downloads 12 exports 12 dependencies

Last updated 3 months agofrom:6d1a851f75. Checks:OK: 3 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-win-x86_64OKNov 09 2024
R-4.5-linux-x86_64OKNov 09 2024
R-4.4-win-x86_64NOTENov 09 2024
R-4.4-mac-x86_64NOTENov 09 2024
R-4.4-mac-aarch64NOTENov 09 2024
R-4.3-win-x86_64NOTENov 09 2024
R-4.3-mac-x86_64NOTENov 09 2024
R-4.3-mac-aarch64NOTENov 09 2024

Exports:annealing_solverget_instance_typeget_weightnormalize_sgmwcs_instanceparametersrmwcs_solverrnc_solverscipjack_solverset_parameterssolve_mwcsptimelimit<-virgo_solver

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigRcpprlangvctrs

Using mwcsr package

Rendered fromtutorial.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2021-11-25
Started: 2020-08-19