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CVXR: Disciplined Convex Optimization

An object-oriented modeling language for disciplined convex programming (DCP) as described in Fu, Narasimhan, and Boyd (2020, <doi:10.18637/jss.v094.i14>). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution. Interfaces to solvers on CRAN and elsewhere are provided, both commercial and open source.

Version:1.0-15
Depends:R (≥ 3.4.0)
Imports:methods,Matrix,Rcpp (≥ 0.12.12),bit64,gmp,Rmpfr,ECOSolveR (≥ 0.5.4),scs (≥ 3.0), stats,osqp,cli, utils
LinkingTo:Rcpp,RcppEigen
Suggests:knitr,rmarkdown,testthat,nnls,slam,covr
Enhances:Rcplex, gurobi, rcbc,cccp,Rmosek,Rglpk,clarabel (≥0.9.0)
Published:2024-11-07
DOI:10.32614/CRAN.package.CVXR
Author:Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], David W Kang [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]
Maintainer:Anqi Fu <anqif at alumni.stanford.edu>
BugReports:https://github.com/cvxgrp/CVXR/issues
License:Apache License 2.0 | fileLICENSE
URL:https://cvxr.rbind.io,https://www.cvxgrp.org/CVXR/
NeedsCompilation:yes
Additional_repositories:https://bnaras.github.io/drat
Citation:CVXR citation info
Materials:README,NEWS
In views:Optimization
CRAN checks:CVXR results

Documentation:

Reference manual:CVXR.html ,CVXR.pdf
Vignettes:Disciplined Convex Optimization (source,R code)
version1 (source)

Downloads:

Package source: CVXR_1.0-15.tar.gz
Windows binaries: r-devel:CVXR_1.0-15.zip, r-release:CVXR_1.0-15.zip, r-oldrel:CVXR_1.0-15.zip
macOS binaries: r-release (arm64):CVXR_1.0-15.tgz, r-oldrel (arm64):CVXR_1.0-15.tgz, r-release (x86_64):CVXR_1.0-15.tgz, r-oldrel (x86_64):CVXR_1.0-15.tgz
Old sources: CVXR archive

Reverse dependencies:

Reverse depends:GhostKnockoff,tramnet
Reverse imports:ANCOMBC,aramappings,cuadramelo,DebiasInfer,filling,fungible,graphicalExtremes,hedgedrf,HonestDiD,kantorovich,MaximinInfer,migest,PlackettLuce,pvEBayes,rclsp,Rdimtools,Riemann,RobustIV,scpi,SIHR,SLSEdesign,spBPS,spStack,T4transport,wdnet,WRI
Reverse suggests:ccar3,EpiForsk,fairml,glmmrOptim,mlr3fairness,PortfolioAnalytics,portfolioBacktest,starnet,transreg

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=CVXRto link to this page.


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