Package: clarabel 0.9.0.1
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:
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')) |
Bug tracker:https://github.com/oxfordcontrol/clarabel-r/issues
Pkgdown:https://oxfordcontrol.github.io
Last updated 3 months agofrom:48a74e6cf6. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 24 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 24 2024 |
Exports:clarabelclarabel_controlsolver_status_descriptions
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Interface to 'Clarabel', an interior point conic solver | clarabel |
Control parameters with default values and types in parenthesis | clarabel_control |
Return the solver status description as a named character vector | solver_status_descriptions |