https://github.com/bwolleswinkel/numpes

Numerical operations on polytopes, ellipsoids, and subspaces
https://github.com/bwolleswinkel/numpes

control ellipsoid polytope python scientific-computing subspace

Last synced: 6 months ago
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Numerical operations on polytopes, ellipsoids, and subspaces

• Host: GitHub
• URL: https://github.com/bwolleswinkel/numpes
• Owner: bwolleswinkel
• License: gpl-3.0
• Created: 2026-01-12T11:58:11.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2026-01-12T18:24:37.000Z (6 months ago)
• Last Synced: 2026-01-12T19:48:15.196Z (6 months ago)
• Topics: control, ellipsoid, polytope, python, scientific-computing, subspace
• Language: Python
• Homepage: https://numpes.readthedocs.io/en/latest/
• Size: 35.2 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# NumPES

[![PyPI version](https://img.shields.io/pypi/v/numpes?color=blue)](https://pypi.org/project/numpes/)

[![Documentation](https://img.shields.io/badge/docs-Read%20the%20Docs-orange)](https://numpes.readthedocs.io)

![Tests](https://github.com/bwolleswinkel/numpes/actions/workflows/run-package-tests.yml/badge.svg)

NumPES is a controls-oriented Python package for performings numerical operations on polytopes, ellipsoids, and subspaces. Its classes are implemented as emulating numeric types, enabling a breadth of operations to be performed and evaluated. A modern scientific computing package implemented in Python, using C/C++ as a backend for efficient computation. 

## Installation

The easiest way to instal NumPES is by running

``` zsh

pip install numpes

```

in your terminal or dedicated virtual environment. Then, import NumPES using

``` py

import numpes as pes

```

at the top of your script to make its functionalities available.

## Quick start

NumPES allows you to construct polytope, ellipsoid, and subspace objects and manipulate these. For example, start by initializing a polytope represented by its half-space representation (H-representation).

``` py

import numpy as np

import numpes as pes

A = np.array([[ 0,  1],

              [-2,  0],

              [ 1,  1],

              [ 0, -1]])

b = np.array([1, 1, 1, 0])

poly = pes.poly(A, b)  # Defines a polytope A x <= b

poly.plot(show=True)

```

## Contribute to NumPES

We wholeheartedly invite collaborators to make contributions to NumPES. The easiest way to contribute is to fork this repository, implement your new functionality/improvement, and then create a pull request to merge this functionality in a new release of NumPES.