Data-driven operator inference for nonintrusive projection-based model reduction

@inproceedings{Peherstorfer2016DatadrivenOI,
  title={Data-driven operator inference for nonintrusive projection-based model reduction},
  author={Benjamin Peherstorfer and Karen Willcox},
  year={2016}
}
This work presents a nonintrusive projection-based model reduction approach for full models based on time-dependent partial differential equations. Projection-based model reduction constructs the operators of a reduced model by projecting the equations of the full model onto a reduced space. Traditionally, this projection is intrusive, which means that the full-model operators are required either explicitly in an assembled form or implicitly through a routine that returns the action of the… CONTINUE READING
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