Multiscale Interpolation, Backward in Time Error Analysis for Data-Driven Contaminant Simulation
- Cite this paper as:
- 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
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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