Package: qap 0.1-2.1

qap: Heuristics for the Quadratic Assignment Problem (QAP)

Implements heuristics for the Quadratic Assignment Problem (QAP). Although, the QAP was introduced as a combinatorial optimization problem for the facility location problem in operations research, it also has many applications in data analysis. The problem is NP-hard and the package implements a simulated annealing heuristic.

Authors:Michael Hahsler [aut, cre, cph], Franz Rendl [ctb, cph]

qap_0.1-2.1.tar.gz
qap_0.1-2.1.zip(r-4.7)qap_0.1-2.1.zip(r-4.6)qap_0.1-2.1.zip(r-4.5)
qap_0.1-2.1.tgz(r-4.6-x86_64)qap_0.1-2.1.tgz(r-4.6-arm64)qap_0.1-2.1.tgz(r-4.5-x86_64)qap_0.1-2.1.tgz(r-4.5-arm64)
qap_0.1-2.1.tar.gz(r-4.7-arm64)qap_0.1-2.1.tar.gz(r-4.7-x86_64)qap_0.1-2.1.tar.gz(r-4.6-arm64)qap_0.1-2.1.tar.gz(r-4.6-x86_64)
qap_0.1-2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
qap/json (API)

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

Bug tracker:https://github.com/mhahsler/qap/issues

On CRAN:

Conda:

combinatorial-optimizationheuristicqapquadratic-assignment-problem

7.63 score 6 stars 103 packages 10 scripts 46k downloads 3 exports 0 dependencies

Last updated from:a0e8cbacf2. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK120
linux-devel-x86_64OK116
source / vignettesOK160
linux-release-arm64OK118
linux-release-x86_64OK93
macos-release-arm64OK85
macos-release-x86_64OK182
macos-oldrel-arm64OK85
macos-oldrel-x86_64OK164
windows-develOK71
windows-releaseOK71
windows-oldrelOK81
wasm-releaseOK121

Exports:qapqap.objread_qaplib

Dependencies: