Package: sssp 0.1.0
sssp: Semi-Symmetric Sparse Projection
Computes the exact joint sparsity and group sparsity projection using the Semi-symmetric Sparse Projection algorithm of J. Shen and S. Damadi, "Sparse projection onto semi-symmetric sets with applications to sparse optimization", Journal of Global Optimization (2026), <doi:10.1007/s10898-026-01592-y>.
Authors:
sssp_0.1.0.tar.gz
sssp_0.1.0.zip(r-4.7-x86_64)sssp_0.1.0.zip(r-4.7-arm64)sssp_0.1.0.zip(r-4.6-x86_64)sssp_0.1.0.zip(r-4.6-arm64)sssp_0.1.0.zip(r-4.5-x86_64)
sssp_0.1.0.tgz(r-4.6-x86_64)sssp_0.1.0.tgz(r-4.6-arm64)sssp_0.1.0.tgz(r-4.5-x86_64)sssp_0.1.0.tgz(r-4.5-arm64)
sssp_0.1.0.tar.gz(r-4.7-arm64)sssp_0.1.0.tar.gz(r-4.7-x86_64)sssp_0.1.0.tar.gz(r-4.6-arm64)sssp_0.1.0.tar.gz(r-4.6-x86_64)
sssp_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sssp/json (API)
| # Install 'sssp' in R: |
| install.packages('sssp', repos = c('https://sparsification.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 from:f4b9ad255d. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 79 | ||
| linux-devel-x86_64 | OK | 105 | ||
| source / vignettes | OK | 139 | ||
| linux-release-arm64 | OK | 73 | ||
| linux-release-x86_64 | OK | 89 | ||
| macos-release-arm64 | OK | 161 | ||
| macos-release-x86_64 | OK | 171 | ||
| macos-oldrel-arm64 | OK | 177 | ||
| macos-oldrel-x86_64 | OK | 346 | ||
| windows-devel-arm64 | OK | 324 | ||
| windows-devel-x86_64 | OK | 134 | ||
| windows-release-arm64 | OK | 320 | ||
| windows-release-x86_64 | OK | 70 | ||
| windows-oldrel-x86_64 | OK | 72 | ||
| wasm-release | OK | 71 |
Exports:sssp_citationsssp_projectsssp_solve
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Citation for the SSSP algorithm | sssp_citation |
| Exact joint sparsity and group sparsity projection | sssp_project |
| Projected gradient descent with the SSSP projection | sssp_solve |