Package: clarabel 0.9.0.1

Balasubramanian Narasimhan

clarabel: Interior Point Conic Optimization Solver

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 (<https://clarabel.org/stable/>). 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.

Authors:Balasubramanian Narasimhan [aut, cre], Paul Goulart [aut, cph], Yuwen Chen [aut], Hiroaki Yutani [ctb], The authors of the dependency Rust crates [ctb]

clarabel_0.9.0.1.tar.gz
clarabel_0.9.0.1.tar.gz(r-4.5-noble)clarabel_0.9.0.1.tar.gz(r-4.4-noble)
clarabel.pdf |clarabel.html
clarabel/json (API)
NEWS

# Install 'clarabel' in R:
install.packages('clarabel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/oxfordcontrol/clarabel-r/issues

Pkgdown:https://oxfordcontrol.github.io

Uses libs:
  • openblas– Optimized BLAS

rustcargo

5.66 score 32 packages 4 scripts 4.7k downloads 3 exports 0 dependencies

Last updated 3 months agofrom:48a74e6cf6. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 24 2024
R-4.5-linux-x86_64NOTENov 24 2024

Exports:clarabelclarabel_controlsolver_status_descriptions

Dependencies:

Clarabel Solver Examples

Rendered fromclarabel.Rmdusingknitr::rmarkdownon Nov 24 2024.

Last update: 2024-06-25
Started: 2023-04-25