unopy

With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization

24 个版本
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安装
pip install unopy
poetry add unopy
pipenv install unopy
conda install unopy
描述

unopy

unopy is the Python interface for Uno, a modern and modular solver for nonlinearly constrained optimization. Uno unifies Lagrange-Newton (SQP and interior-point) methods by breaking them down into a set of common building blocks such as constraint reformulation, step computation, and globalization.

Installation

unopy is a registered Python package that can be installed via pip:

pip install unopy

unopy allows you to solve an optimization model described by callback functions. An example of the Hock-Schittkowski model hs015 is available in the file example_hs015.py.

Getting started

To get started with Uno, check out the official documentation.

版本列表
0.4.11 2026-06-24
0.4.10 2026-06-03
0.4.9 2026-05-22
0.4.8 2026-05-16
0.4.7 2026-05-14
0.4.6 2026-05-01
0.4.5 2026-04-18
0.4.4 2026-04-14
0.4.3 2026-04-09
0.4.2 2026-04-01
0.4.1 2026-03-24
0.4.0 2026-03-17
0.3.0 2026-03-16
0.2.7 2026-03-13
0.2.6 2026-03-09
0.2.5 2026-03-08
0.2.4 2026-03-06
0.2.3 2026-03-03
0.2.2 2026-03-03
0.2.1 2026-02-27
0.2.0 2026-02-10
0.1.2 2025-12-15
0.1.1 2025-12-15
0.1.0 2025-12-12