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Further investigation of error bounds for reduced order modeling

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This manuscript investigates the level of conservatism of the bounds developed in earlier work to capture the errors resulting from reduced order modeling. Reduced order modeling is premised on the fact that large areas of the input and/or output spaces can be safely discarded from the analysis without affecting the quality of predictions for the quantities of interest. For this premise to be credible, ROM models must be equipped with theoretical bounds that can guarantee the quality of the ROM model predictions. Earlier work has devised an approach in which a small number of oversamples are used to predict such bound. Results indicated that the bound may sometimes be too conservative, which would negatively impact the size and hence the efficiency of the ROM model.

Original languageEnglish
Title of host publicationMathematics and Computations, Supercomputing in Nuclear Applications and Monte Carlo International Conference, M and C+SNA+MC 2015
PublisherAmerican Nuclear Society
Pages3306-3311
Number of pages6
ISBN (Electronic)9781510808041
StatePublished - 2015
Externally publishedYes
EventMathematics and Computations, Supercomputing in Nuclear Applications and Monte Carlo International Conference, M and C+SNA+MC 2015 - Nashville, United States
Duration: Apr 19 2015Apr 23 2015

Publication series

NameMathematics and Computations, Supercomputing in Nuclear Applications and Monte Carlo International Conference, M and C+SNA+MC 2015
Volume4

Conference

ConferenceMathematics and Computations, Supercomputing in Nuclear Applications and Monte Carlo International Conference, M and C+SNA+MC 2015
Country/TerritoryUnited States
CityNashville
Period04/19/1504/23/15

Keywords

  • Error bounds
  • Reduced order modeling

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