This release is a pre-release and may not be stable for production use.
alpaqa
alpaqa is an efficient implementation of an augmented Lagrangian method for general nonlinear programming problems, which uses the first-order, matrix-free PANOC algorithm as an inner solver. The numerical algorithms themselves are implemented in C++ for optimal performance, and they are exposed as an easy-to-use Python package. An experimental MATLAB interface is available as well.
The solvers in this library solve minimization problems of the following form:
Documentation
Installation
The Python interface can be installed directly from PyPI:
python3 -m pip install --upgrade --pre alpaqa
For more information, please see the full installation instructions.
Publications
Metadata
Release files for alpaqa 1.1.0a2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| alpaqa-1.1.0a2.tar.gz | 360.9 kB | Details |
Built distributions (wheels)
Total release size: 378.2 MB
Release files / alpaqa-1.1.0a2.tar.gz
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| Tags | Source |
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