Package: cccp 0.3-1
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_0.3-1.tar.gz
cccp_0.3-1.zip(r-4.5)cccp_0.3-1.zip(r-4.4)cccp_0.3-1.zip(r-4.3)
cccp_0.3-1.tgz(r-4.4-x86_64)cccp_0.3-1.tgz(r-4.4-arm64)cccp_0.3-1.tgz(r-4.3-x86_64)cccp_0.3-1.tgz(r-4.3-arm64)
cccp_0.3-1.tar.gz(r-4.5-noble)cccp_0.3-1.tar.gz(r-4.4-noble)
cccp_0.3-1.tgz(r-4.4-emscripten)cccp_0.3-1.tgz(r-4.3-emscripten)
cccp.pdf |cccp.html✨
cccp/json (API)
# Install 'cccp' in R: |
install.packages('cccp', repos = c('https://bpfaff.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 12 months agofrom:b367121ce0. Checks:OK: 7 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win-x86_64 | NOTE | Nov 04 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 04 2024 |
R-4.4-win-x86_64 | OK | Nov 04 2024 |
R-4.4-mac-x86_64 | OK | Nov 04 2024 |
R-4.4-mac-aarch64 | OK | Nov 04 2024 |
R-4.3-win-x86_64 | OK | Nov 04 2024 |
R-4.3-mac-x86_64 | OK | Nov 04 2024 |
R-4.3-mac-aarch64 | OK | Nov 04 2024 |
Exports:cccpCONECcpsCPSctrlCTRLdcpDCPdlpDLPdnlDNLdqpDQPgetnitergetparamsgetsgetstategetstatusgetxgetygetzgpgppl1nlfcnnocPDVpsdcrprppsocc
Dependencies:RcppRcppArmadillo