Efficient Geometrical parametrization for finite-volume based reduced order methods

@article{Stabile2019EfficientGP,
  title={Efficient Geometrical parametrization for finite-volume based reduced order methods},
  author={G. Stabile and Matteo Zancanaro and G. Rozza},
  journal={arXiv: Numerical Analysis},
  year={2019}
}
In this work, we present an approach for the efficient treatment of parametrized geometries in the context of POD-Galerkin reduced order methods based on Finite Volume full order approximations. On the contrary to what is normally done in the framework of finite element reduced order methods, different geometries are not mapped to a common reference domain: the method relies on basis functions defined on an average deformed configuration and makes use of the Discrete Empirical Interpolation… Expand
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References

SHOWING 1-10 OF 61 REFERENCES
Projection-based reduced order models for a cut finite element method in parametrized domains
Reduced basis method and domain decomposition for elliptic problems in networks and complex parametrized geometries
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