CRAN/E | cccp

cccp

Cone Constrained Convex Problems

Installation

About

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 for more information).

Key Metrics

Version 0.3-1
R ≥ 3.0.1
Published 2023-12-09 131 days ago
Needs compilation? yes
License GPL (≥ 3)
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Maintainer

Maintainer

Bernhard Pfaff

bernhard@pfaffikus.de

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)

Material

Reference manual
Package source

In Views

Optimization

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

cccp archive

Depends

R ≥ 3.0.1
methods

Imports

Rcpp ≥ 0.11.2

Suggests

RUnit
numDeriv

LinkingTo

Rcpp
RcppArmadillo

Reverse Depends

FRAPO

Reverse Imports

optiSolve

Reverse Suggests

fairml

Reverse Enhances

CVXR