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clarabel
View on CRAN: Click
here
Download and install clarabel package within the R console
Install from CRAN:
install.packages("clarabel")
Install from Github:
library("remotes")
install_github("cran/clarabel") Install by package version:
library("remotes")
install_version("clarabel", "0.11.1") Attach the package and use:
library("clarabel")
Maintained by
Balasubramanian Narasimhan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-25
Latest Update: 2025-04-17
Description:
A versatile interior point solver that solves linear programs (LPs), quadratic programs (QPs), second-order cone programs (SOCPs), semidefinite programs (SDPs), and problems with exponential and power cone constraints ( ). For quadratic objectives, unlike interior point solvers based on the standard homogeneous self-dual embedding (HSDE) model, 'Clarabel' handles quadratic objective without requiring any epigraphical reformulation of its objective function. It can therefore be significantly faster than other HSDE-based solvers for problems with quadratic objective functions. Infeasible problems are detected using using a homogeneous embedding technique.
How to cite:
Balasubramanian Narasimhan (2023). clarabel: Interior Point Conic Optimization Solver. R package version 0.11.1, https://cran.r-project.org/web/packages/clarabel. Accessed 09 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for clarabel
Functions, R codes and Examples using
the clarabel R package
Some associated functions: clarabel-package . clarabel . clarabel_control . solver_status_descriptions .
Some associated R codes: clarabel-package.R . clarabel.R . extendr-wrappers.R . sparse.R . Full clarabel package functions and examples
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