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
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3515)

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Craig C. Douglas
    • 1
    • 2
  • Yalchin Efendiev
    • 3
  • Richard Ewing
    • 3
  • Victor Ginting
    • 3
  • Raytcho Lazarov
    • 3
  • Martin J. Cole
    • 4
  • Greg Jones
    • 4
  • Chris R. Johnson
    • 4
  1. 1.Department of Computer ScienceUniversity of KentuckyLexingtonUSA
  2. 2.Department of Computer ScienceYale UniversityNew HavenUSA
  3. 3.ISCTexas A&M UniversityCollege StationUSA
  4. 4.Scientific Computing and Imaging InstituteUniversity of UtahSalt Lake CityUSA

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