solver_status_descriptions

<p>Return the solver status description as a named character vector</p>

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.

Balasubramanian Narasimhan

clarabel

Interior Point Conic Optimization Solver

Paul Goulart

Yuwen Chen

Hiroaki Yutani

David Zimmermann-Kollenda

The authors of the dependency Rust crates 

solver_status_descriptions function

Return the solver status description as a named character vector — solver_status_descriptions

Return the solver status description as a named character vector

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solver_status_descriptions: Return the solver status description as a named character vector

Description

Usage

Arguments

Value

Examples