Package: admmDensestSubmatrix 0.1.0
admmDensestSubmatrix: Alternating Direction Method of Multipliers to Solve Dense Dubmatrix Problem
Solves the problem of identifying the densest submatrix in a given or sampled binary matrix, Bombina et al. (2019) <arxiv:1904.03272>.
Authors:
admmDensestSubmatrix_0.1.0.tar.gz
admmDensestSubmatrix_0.1.0.zip(r-4.5)admmDensestSubmatrix_0.1.0.zip(r-4.4)admmDensestSubmatrix_0.1.0.zip(r-4.3)
admmDensestSubmatrix_0.1.0.tgz(r-4.4-any)admmDensestSubmatrix_0.1.0.tgz(r-4.3-any)
admmDensestSubmatrix_0.1.0.tar.gz(r-4.5-noble)admmDensestSubmatrix_0.1.0.tar.gz(r-4.4-noble)
admmDensestSubmatrix_0.1.0.tgz(r-4.4-emscripten)admmDensestSubmatrix_0.1.0.tgz(r-4.3-emscripten)
admmDensestSubmatrix.pdf |admmDensestSubmatrix.html✨
admmDensestSubmatrix/json (API)
# Install 'admmDensestSubmatrix' in R: |
install.packages('admmDensestSubmatrix', repos = c('https://pbombina.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:e767506821. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-win | NOTE | Nov 21 2024 |
R-4.5-linux | NOTE | Nov 21 2024 |
R-4.4-win | NOTE | Nov 21 2024 |
R-4.4-mac | NOTE | Nov 21 2024 |
R-4.3-win | NOTE | Nov 21 2024 |
R-4.3-mac | NOTE | Nov 21 2024 |
Exports:densubmat_shrinkplantedsubmatrix
Readme and manuals
Help Manual
Help page | Topics |
---|---|
densub | densub |
Soft threshholding operator. | mat_shrink |
Sample matrix | plantedsubmatrix |