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.
- Version0.9.0.1
- R versionunknown
- LicenseApache License (== 2.0)
- Needs compilation?Yes
- clarabel citation info
- Last release09/03/2024
Documentation
Team
Balasubramanian Narasimhan
Hiroaki Yutani
Paul Goulart
Show author detailsRolesAuthor, Copyright holderYuwen Chen
Show author detailsRolesAuthorThe authors of the dependency Rust crates
Show author detailsRolesContributor
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