cccp: Cone Constrained Convex Problems (original) (raw)
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: | 0.3-3 |
|---|---|
| Depends: | R (≥ 3.0.1), methods |
| Imports: | Rcpp (≥ 0.11.2) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | RUnit, numDeriv |
| Published: | 2025-09-27 |
| DOI: | 10.32614/CRAN.package.cccp |
| 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 |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| In views: | Optimization |
| CRAN checks: | cccp results |
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