The Package varprox is designed for solving penalized separable non-linear least squares problems. It extends the standard variable projection method by adding regularization on the non-linear variable. More details can be found in the documentation.
Package features
Methods for minimizing separable non-linear least squares problems with penalizations and box constraints on variables.
Non linear model fitting in engineering.
Applications to the statistical inference for stochastic processes.
Installation from sources
The package source can be downloaded from the repository.
The package can be installed through PYPI with
pip install varprox
Licence
varprox is under licence GNU GPL, version 3.
Citation
When using varprox, please cite the papers
Escande, P. and Richard, F. Full inference for the anisotropic fractional Brownian field. Journal of Probability Theory and Mathematical Statistics, 110:13–29, 2024. doi:10.1090/tpms/1204.
Marmin, A. and Richard, F. Varprox: a primal-dual variable projection method for the minimization of penalized separable non-linear least squares. Inverse Problems, 2025. doi:10.1088/1361-6420/ae0e48.
Credits
Varprox is written and maintained by Arthur Marmin and Frederic Richard, Aix-Marseille University, France.
1 maintainer
Metadata
1 maintainer
Release files for varprox 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| varprox-1.0.7.tar.gz | 25.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| varprox-1.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 51.2 kB
Release files / varprox-1.0.7.tar.gz
| Download URL | varprox-1.0.7.tar.gz |
|---|---|
| Size | 25.4 kB |
| Tags | Source |
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Release files / varprox-1.0.7-py3-none-any.whl
| Download URL | varprox-1.0.7-py3-none-any.whl |
|---|---|
| Size | 25.8 kB |
| Tags | Python 3 |
|
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