nullspace-optimizer


Namenullspace-optimizer JSON
Version 1.2.5 PyPI version JSON
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home_pagehttps://null-space-optimizer.readthedocs.io/en/latest/
SummaryNull space algorithm for nonlinear constrained optimization
upload_time2024-04-24 06:05:03
maintainerNone
docs_urlNone
authorFlorian Feppon
requires_python>=3.9
licenseGNU GPL version 3
keywords nonlinear constrained optimization
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            # Null Space Optimizer

`nullspace_optimizer` is a Python package implementing the null space
algorithm for nonlinear constrained optimization. It has been developped
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

```math 
\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}   
```

![Optimization trajectories produced by the Null Space Optimizer for an
inequality constrained optimization problem with different
initialization.](docs/source/img/nullspace.png){.align-center width="400px"}
    
## Official documentation   
    
[Official documentation](https://null-space-optimizer.readthedocs.io/en/latest/index.html)

## 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](https://doi.org/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](https://link.springer.com/article/10.1007/s00158-023-03710-w).

``` bibtex
@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
}
```

``` bibtex
@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](https://www.gnu.org/licenses/gpl-3.0.html).

            

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    "description": "# Null Space Optimizer\n\n`nullspace_optimizer` is a Python package implementing the null space\nalgorithm for nonlinear constrained optimization. It has been developped\nin the context of topology optimization problems with the level-set and\nthe density method, but it can in principle be used for solving\narbitrary smooth nonlinear equality and inequality constrained\noptimization problems of the form\n\n```math \n\\begin{aligned}\n\\begin{aligned}\n    \\min_{x\\in \\mathcal{X}}&  \\quad J(x)\\\\\n    \\textrm{s.t.} & \\left\\{\\begin{aligned}\n g_i(x)&=0, \\text{ for all } 1\\leqslant i\\leqslant p,\\\\\n h_j(x)  &\\leqslant  0, \\text{ for all }1\\leqslant j \\leqslant q,\\\\ \n        \\end{aligned}\\right.\n\\end{aligned}\n\\end{aligned}   \n```\n\n![Optimization trajectories produced by the Null Space Optimizer for an\ninequality constrained optimization problem with different\ninitialization.](docs/source/img/nullspace.png){.align-center width=\"400px\"}\n    \n## Official documentation   \n    \n[Official documentation](https://null-space-optimizer.readthedocs.io/en/latest/index.html)\n\n## Contribute and support\n\n-   Issue tracker:\n    <https://gitlab.com/florian.feppon/null-space-optimizer/-/issues>\n-   Source code:\n    <https://gitlab.com/florian.feppon/null-space-optimizer>\n\nIf I am not responding on the issue tracker, feel free to send me an\nemail to florian.feppon\\[at\\]kuleuven.be\n\n## Citation\n\nPlease cite either of the following references when using this source:\n\n> Feppon F., Allaire G. and Dapogny C. *Null space gradient flows for\n> constrained optimization with applications to shape optimization.*\n> 2020. ESAIM: COCV, 26 90\n> [doi:10.1051/cocv/2020015](https://doi.org/10.1051/cocv/2020015)\n\n> Feppon F. *Density based topology optimization with the Null Space Optimizer: a\n> tutorial and a comparison* (2024).   \n> [Structural and Multidisciplinary Optimization, 67(4), 1-34](https://link.springer.com/article/10.1007/s00158-023-03710-w).\n\n``` bibtex\n@article{feppon2020optim,\n   author = {{Feppon, F.} and {Allaire, G.} and {Dapogny, C.}},\n   doi = {10.1051/cocv/2020015},\n   journal = {ESAIM: COCV},\n   pages = {90},\n   title = {Null space gradient flows for constrained optimization with applications to shape optimization},\n   url = {https://doi.org/10.1051/cocv/2020015},\n   volume = 26,\n   year = 2020\n}\n```\n\n``` bibtex\n@article{Feppon2024density,\n  title     = \"Density-based topology optimization with the Null Space Optimizer: a tutorial and a comparison\",\n  author    = \"Feppon, Florian\",\n  journal   = \"Structural and Multidisciplinary Optimization\",\n  publisher = \"Springer\",\n  volume    =  67,\n  number    =  1,\n  pages     = \"1--34\",\n  month     =  jan,\n  year      =  2024\n}\n```\n\n## Licence\n\nThe Null Space Optimizer is a free software distributed under the terms\nof the GNU General Public Licence\n[GPL3](https://www.gnu.org/licenses/gpl-3.0.html).\n",
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