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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Bear, J.: Dynamics of Fluids in Porous Media. Elsevier, Amsterdam (1972)
Deutsch, C.V., Journel, A.G.: GSLIB: Geostatistical software library and user’s guide, 2nd edn. Oxford University Press, New York (1998)
Douglas, C.C., Shannon, C., Efendiev, Y., Ewing, R., Ginting, V., Lazarov, R., Cole, M., Jones, G., Johnson, C., Simpson, J.: A note on data-driven contaminant simulation. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3038, pp. 701–708. Springer, Heidelberg (2004)
Douglas, C.C., Efendiev, Y., Ewing, R., Ginting, V., Lazarov, R.: Bayesian approaches for initial data recovery in dynamic data-driven simulations (in preparation)
Efendiev, Y., Pankov, A.: Numerical homogenization of nonlinear random parabolic operators. SIAM Multiscale Modeling and Simulation 2(2), 237–268 (2004)
Johnson, C.R., Parker, S., et al.: SCIRun: A scientific computing problem solving environment, http://software.sci.utah.edu/scirun.html
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© 2005 Springer-Verlag Berlin Heidelberg
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Douglas, C.C. et al. (2005). Multiscale Interpolation, Backward in Time Error Analysis for Data-Driven Contaminant Simulation. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J.J. (eds) Computational Science – ICCS 2005. ICCS 2005. Lecture Notes in Computer Science, vol 3515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428848_83
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DOI: https://doi.org/10.1007/11428848_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26043-1
Online ISBN: 978-3-540-32114-9
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