Alpaqa is an efficient implementation of the 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.
The solvers in this library solve minimization problems of the following form:
The objective function f(x) and the constraints function g(x) should have a Lipschitz-continuous gradient.
Sphinx documentation
Doxygen documentation
Python examples
C++ examples
The project is available on PyPI:
python3 -m pip install alpaqa
For more information, please see the full installation instructions.
FAQs
Augmented Lagrangian and PANOC solvers for nonconvex numerical optimization
We found that alpaqa 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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