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An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics

Tezzele, Marco
•
Demo, Nicola
•
Mola, Andrea
•
Rozza, Gianluigi
2022
  • book part

Abstract
In this work we present an integrated computational pipeline involving several model order reduction techniques for industrial and applied mathematics, as emerging technology for product and/or process design procedures. Its data-driven nature and its modularity allow an easy integration into existing pipelines.
DOI
10.1007/978-3-030-96173-2_7
Archivio
https://hdl.handle.net/20.500.11767/130171
https://arxiv.org/abs/1810.12364
https://ricerca.unityfvg.it/handle/20.500.11767/130171
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Soggetti
  • Settore MAT/08 - Anal...

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