Multiscale interpolation, backward in time error analysis for data-driven contaminant simulation

Craig C. Douglas*, Yalchin Efendiev, Richard Ewing, Victor Ginting, Raytcho Lazarov, Martin J. Cole, Greg Jones, Chris R. Johnson

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

We describe, devise, and augment dynamic data-driven application simulations (DDDAS). DDDAS offers interesting computational and mathematically unsolved problems. In this paper, we discuss how to update the solution as well as input parameters involved in the simulation based on local measurements. The updates are performed in time. We test our method on various synthetic examples.

Original languageEnglish (US)
Pages (from-to)640-647
Number of pages8
JournalLecture Notes in Computer Science
Volume3515
Issue numberII
DOIs
StatePublished - Jan 1 2005
Event5th International Conference on Computational Science - ICCS 2005 - Atlanta, GA, United States
Duration: May 22 2005May 25 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Multiscale interpolation, backward in time error analysis for data-driven contaminant simulation'. Together they form a unique fingerprint.

Cite this