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).

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("cccp")

0.3-3 by Bernhard Pfaff, a year ago

Browse source code at https://github.com/cran/cccp

Authors: 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)

Documentation:   PDF Manual  

GPL (>= 3) license

Imports Rcpp

Depends on methods

Suggests RUnit, numDeriv

Linking to Rcpp, RcppArmadillo

Imported by optiSolve.

Depended on by FRAPO.

Suggested by fairml, mlr3fairness, netmeta.

Enhanced by CVXR.

See at CRAN

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug