GeoGrad is a general geometric constraint for spatial integration in gradient-based optimization. It can be used for aerodynamic shape optimization within the MACH framework through pyGeo.
See the details in the report directory for information on the parallelism implemented in GeoGrad.
Please cite GeoGrad by referencing this paper.
B. J. Brelje, J. Anibal, A. Yildirim, C. A. Mader, and J. R. R. A. Martins. AIAA Journal, 58(6):2571–2580, 2020.
@article{Brelje2020a,
author = {Brelje, Benjamin J. and Anibal, Joshua and Yildirim, Anil and Mader, Charles A. and Martins, Joaquim R. R. A.},
doi = {10.2514/1.J058366},
journal = {AIAA Journal},
keywords = {ank, ccavd},
month = jun,
number = {6},
pages = {2571--2580},
title = {Flexible Formulation of Spatial Integration Constraints in Aerodynamic Shape Optimization},
volume = {58},
year = {2020}
}
GeoGrad is licensed under the Apache License, Version 2.0 (the "License"). See LICENSE for the full license.