Null space algorithm for nonlinear constrained optimization
Project description
Null Space Optimizer
nullspace_optimizer is a Python package implementing the null space
algorithm for nonlinear constrained optimization. It has been developed
in the context of topology optimization problems with the level-set and
the density method, but it can in principle be used for solving
arbitrary smooth nonlinear equality and inequality constrained
optimization problems of the form
\begin{aligned}
\begin{aligned}
\min_{x\in \mathcal{X}}& \quad J(x)\\
\textrm{s.t.} & \left\{\begin{aligned}
g_i(x)&=0, \text{ for all } 1\leqslant i\leqslant p,\\
h_j(x) &\leqslant 0, \text{ for all }1\leqslant j \leqslant q,\\
\end{aligned}\right.
\end{aligned}
\end{aligned}
{.align-center width="400px"}
Official documentation
Contribute and support
- Issue tracker: https://gitlab.com/florian.feppon/null-space-optimizer/-/issues
- Source code: https://gitlab.com/florian.feppon/null-space-optimizer
If I am not responding on the issue tracker, feel free to send me an email to florian.feppon[at]kuleuven.be
Citation
Please cite either of the following references when using this source:
Feppon F., Allaire G. and Dapogny C. Null space gradient flows for constrained optimization with applications to shape optimization. 2020. ESAIM: COCV, 26 90 doi:10.1051/cocv/2020015
Feppon F. Density based topology optimization with the Null Space Optimizer: a tutorial and a comparison (2024).
Structural and Multidisciplinary Optimization, 67(4), 1-34.
@article{feppon2020optim,
author = {{Feppon, F.} and {Allaire, G.} and {Dapogny, C.}},
doi = {10.1051/cocv/2020015},
journal = {ESAIM: COCV},
pages = {90},
title = {Null space gradient flows for constrained optimization with applications to shape optimization},
url = {https://doi.org/10.1051/cocv/2020015},
volume = 26,
year = 2020
}
@article{Feppon2024density,
title = "Density-based topology optimization with the Null Space Optimizer: a tutorial and a comparison",
author = "Feppon, Florian",
journal = "Structural and Multidisciplinary Optimization",
publisher = "Springer",
volume = 67,
number = 1,
pages = "1--34",
month = jan,
year = 2024
}
Licence
The Null Space Optimizer is a free software distributed under the terms of the GNU General Public Licence GPL3.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file nullspace_optimizer-1.3.0.tar.gz.
File metadata
- Download URL: nullspace_optimizer-1.3.0.tar.gz
- Upload date:
- Size: 85.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
779214302b6d09b36bae8a0fc04cf7381f3d8b4c2a851fb0e918de8feb33fb01
|
|
| MD5 |
2529506b8ce15cbb26873d121d58c854
|
|
| BLAKE2b-256 |
69740b8c958bae9dd03aec8af2010d0c5000cd70fe72c25431e2ffc4b551bdd3
|
File details
Details for the file nullspace_optimizer-1.3.0-py3-none-any.whl.
File metadata
- Download URL: nullspace_optimizer-1.3.0-py3-none-any.whl
- Upload date:
- Size: 134.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
992ee8cb8753dfaf852e94de9e04fb69e4c836c40d9216a688c2a05e3415ca7e
|
|
| MD5 |
615b2506f28afe2620c2eee3484af726
|
|
| BLAKE2b-256 |
1223a3fbd0f48767c8712f9572b744ffbf777c81b9211445ece82583388c3c0a
|