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.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 = '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 1 years agofrom:b367121ce0. Checks:2 OK, 1 NOTE. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 04 2025 |
R-4.5-linux-x86_64 | NOTE | Mar 04 2025 |
R-4.4-linux-x86_64 | OK | Mar 04 2025 |
Exports:cccpCONECcpsCPSctrlCTRLdcpDCPdlpDLPdnlDNLdqpDQPgetnitergetparamsgetsgetstategetstatusgetxgetygetzgpgppl1nlfcnnocPDVpsdcrprppsocc
Dependencies:RcppRcppArmadillo
Citation
To cite package ‘cccp’ in publications use:
Pfaff B (2023). cccp: Cone Constrained Convex Problems. R package version 0.3-1, https://CRAN.R-project.org/package=cccp.
Corresponding BibTeX entry:
@Manual{, title = {cccp: Cone Constrained Convex Problems}, author = {Bernhard Pfaff}, year = {2023}, note = {R package version 0.3-1}, url = {https://CRAN.R-project.org/package=cccp}, }