scs: Splitting Conic Solver

Solves convex cone programs via operator splitting. Can solve: linear programs (LPs), second-order cone programs (SOCPs), semidefinite programs (SDPs), exponential cone programs (ECPs), and power cone programs (PCPs), or problems with any combination of those cones. SCS uses AMD (a set of routines for permuting sparse matrices prior to factorization) and LDL (a sparse LDL' factorization and solve package) from 'SuiteSparse' (<http://www.suitesparse.com>).

Version: 1.1-1
Depends: R (≥ 2.15)
Imports: Matrix, methods
Published: 2016-02-23
Author: Florian Schwendinger [ctb, cre], Brendan O'Donoghue [aut, cph], Timothy A. Davis [cph], Patrick R. Amestory [cph], Iain S. Duff [cph]
Maintainer: Florian Schwendinger <FlorianSchwendinger at gmx.at>
License: GPL-3
URL: https://github.com/cvxgrp/scs
NeedsCompilation: yes
Citation: scs citation info
Materials: README
In views: Optimization
CRAN checks: scs results

Downloads:

Reference manual: scs.pdf
Package source: scs_1.1-1.tar.gz
Windows binaries: r-devel: scs_1.1-1.zip, r-release: scs_1.1-1.zip, r-oldrel: scs_1.1-1.zip
OS X El Capitan binaries: r-release: scs_1.1-1.tgz
OS X Mavericks binaries: r-oldrel: scs_1.1-1.tgz

Reverse dependencies:

Reverse imports: MFKnockoffs, ROI.plugin.scs

Linking:

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