Model Order Reduction Methods in Computational Uncertainty Quantification

Abstract

This work surveys mathematical foundations of Model Order Reduction (MOR for short) techniques in accelerating computational forward and inverse UQ. Operator equations (comprising elliptic and parabolic Partial Differential Equations (PDEs for short) and Boundary Integral Equations (BIEs for short)) with distributed uncertain input, being an element of an… (More)

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Cite this paper

@inproceedings{Chen2015ModelOR, title={Model Order Reduction Methods in Computational Uncertainty Quantification}, author={P. Chen and Peng Chen and Christoph Schwab}, year={2015} }