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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).
| Version: | 0.3-1 |
| Depends: | R (≥ 3.0.1), methods |
| Imports: | Rcpp (≥ 0.11.2) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | RUnit, numDeriv |
| Published: | 2023-12-09 |
| Author: | Bernhard Pfaff [aut, cre], Lieven Vandenberghe [cph] (copyright holder of cvxopt), Martin Andersen [cph] (copyright holder of cvxopt), Joachim Dahl [cph] (copyright holder of cvxopt) |
| Maintainer: | Bernhard Pfaff <bernhard at pfaffikus.de> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| In views: | Optimization |
| CRAN checks: | cccp results |
| Reference manual: | cccp.pdf |
| Package source: | cccp_0.3-1.tar.gz |
| Windows binaries: | r-devel: cccp_0.3-1.zip, r-release: cccp_0.3-1.zip, r-oldrel: cccp_0.3-1.zip |
| macOS binaries: | r-release (arm64): cccp_0.3-1.tgz, r-oldrel (arm64): cccp_0.3-1.tgz, r-release (x86_64): cccp_0.3-1.tgz, r-oldrel (x86_64): cccp_0.3-1.tgz |
| Old sources: | cccp archive |
| Reverse depends: | FRAPO |
| Reverse imports: | optiSolve |
| Reverse suggests: | fairml, netmeta |
| Reverse enhances: | CVXR |
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