Package: cccp 0.3-3
cccp: Cone Constrained Convex Problems
Routines for solving convex optimization problems with cone constraints by means of interior-point methods. The implemented algorithms are partially ported from CVXOPT, a Python module for convex optimization (see <https://cvxopt.org> for more information).
Authors:
cccp_0.3-3.tar.gz
cccp_0.3-3.zip(r-4.7)cccp_0.3-3.zip(r-4.6)cccp_0.3-3.zip(r-4.5)
cccp_0.3-3.tgz(r-4.6-x86_64)cccp_0.3-3.tgz(r-4.6-arm64)cccp_0.3-3.tgz(r-4.5-x86_64)cccp_0.3-3.tgz(r-4.5-arm64)
cccp_0.3-3.tar.gz(r-4.7-arm64)cccp_0.3-3.tar.gz(r-4.7-x86_64)cccp_0.3-3.tar.gz(r-4.6-arm64)cccp_0.3-3.tar.gz(r-4.6-x86_64)
cccp_0.3-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
cccp/json (API)
| # Install 'cccp' in R: |
| install.packages('cccp', repos = c('https://bpfaff.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bpfaff/cccp/issues
Last updated from:9a855476b2. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 194 | ||
| linux-devel-x86_64 | OK | 185 | ||
| source / vignettes | OK | 228 | ||
| linux-release-arm64 | OK | 194 | ||
| linux-release-x86_64 | OK | 190 | ||
| macos-release-arm64 | OK | 171 | ||
| macos-release-x86_64 | OK | 254 | ||
| macos-oldrel-arm64 | OK | 164 | ||
| macos-oldrel-x86_64 | OK | 333 | ||
| windows-devel | OK | 232 | ||
| windows-release | OK | 197 | ||
| windows-oldrel | OK | 191 | ||
| wasm-release | OK | 142 |
Exports:cccpCONECcpsCPSctrlCTRLdcpDCPdlpDLPdnlDNLdqpDQPgetnitergetparamsgetsgetstategetstatusgetxgetygetzgpgppl1nlfcnnocPDVpsdcrprppsocc
Dependencies:RcppRcppArmadillo
