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
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.