• Computer Science
  • Published 2006

Adaptive model reduction for sensitivity analysis

@inproceedings{Ryckelynck2006AdaptiveMR,
  title={Adaptive model reduction for sensitivity analysis},
  author={David Ryckelynck},
  year={2006}
}
The bad accuracy of a simplified model can compromise the sensitivity analysis. We propose to build accurate simplified models for sensitivity analysis thanks to an adaptive model reduction method: the A Priori Hyper Reduction (APHR) method. The adaptivity allows to guaranty both the quality of the state estimation and a small number of shape functions involved in the reduced order model (ROM). This approach is very convenient for time dependent problems described by the finite element method… CONTINUE READING