Corpus ID: 212737233

Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems

@article{Rizzi2020PressioEP,
  title={Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems},
  author={Francesco Rizzi and Patrick Blonigan and Kevin T. Carlberg},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.07798}
}
  • Francesco Rizzi, Patrick Blonigan, Kevin T. Carlberg
  • Published 2020
  • Computer Science, Physics
  • ArXiv
  • This work introduces Pressio, an open-source project aimed at enabling leading-edge projection-based reduced order models (ROMs) for large-scale nonlinear dynamical systems in science and engineering. Pressio provides model-reduction methods that can reduce both the number of spatial and temporal degrees of freedom for any dynamical system expressible as a system of parameterized ordinary differential equations (ODEs). We leverage this simple, expressive mathematical framework as a pivotal… CONTINUE READING

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