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Introducing Enhanced Alert Actions and Triage Functionality
Socket now supports four distinct alert actions instead of the previous two, and alert triaging allows users to override the actions taken for all individual alerts.
Readme
Features • Installation • License • Documentation
Clarabel.rs is a Rust implementation of an interior point numerical solver for convex optimization problems using a novel homogeneous embedding. Clarabel.rs solves the following problem:
$$ \begin{array}{r} \text{minimize} & \frac{1}{2}x^T P x + q^T x\\[2ex] \text{subject to} & Ax + s = b \\[1ex] & s \in \mathcal{K} \end{array} $$
with decision variables $x \in \mathbb{R}^n$, $s \in \mathbb{R}^m$ and data matrices $P=P^\top \succeq 0$, $q \in \mathbb{R}^n$, $A \in \mathbb{R}^{m \times n}$, and $b \in \mathbb{R}^m$. The convex set $\mathcal{K}$ is a composition of convex cones.
For more information see the Clarabel Documentation (stable | dev).
Clarabel is also available in a Julia implementation. See here.
Clarabel can be imported to Cargo based Rust projects by adding
[dependencies]
clarabel = "0"
to the project's Cargo.toml
file. To install from source, see the Rust Installation Documentation.
To use the Python interface to the solver:
pip install clarabel
To install the Python interface from source, see the Python Installation Documentation.
@misc{Clarabel_2024,
title={Clarabel: An interior-point solver for conic programs with quadratic objectives},
author={Paul J. Goulart and Yuwen Chen},
year={2024},
eprint={2405.12762},
archivePrefix={arXiv},
primaryClass={math.OC}
}
This project is licensed under the Apache License 2.0 - see the LICENSE.md file for details.
FAQs
Clarabel Conic Interior Point Solver for Rust / Python
We found that clarabel demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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