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

doi:10.1007/11428848_83

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 journal › Conference article › peer-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 language	English (US)
Pages (from-to)	640-647
Number of pages	8
Journal	Lecture Notes in Computer Science
Volume	3515
Issue number	II
DOIs	https://doi.org/10.1007/11428848_83
State	Published - 2005
Externally published	Yes
Event	5th International Conference on Computational Science - ICCS 2005 - Atlanta, GA, United States Duration: May 22 2005 → May 25 2005

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/11428848_83

Cite this

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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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AU - Douglas, Craig C.

AU - Efendiev, Yalchin

AU - Ewing, Richard

AU - Ginting, Victor

AU - Lazarov, Raytcho

AU - Cole, Martin J.

AU - Jones, Greg

AU - Johnson, Chris R.

PY - 2005

Y1 - 2005

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AB - 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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DO - 10.1007/11428848_83

M3 - Conference article

AN - SCOPUS:25144446803

SN - 0302-9743

VL - 3515

SP - 640

EP - 647

JO - Lecture Notes in Computer Science

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T2 - 5th International Conference on Computational Science - ICCS 2005

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ER -

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

Abstract

ASJC Scopus subject areas

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