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- W215175093 abstract "Abstract : Computational simulation-based predictions are central to science and engineering and to risk assessment and decision making in economics, public policy, and military venues, including several of importance to Air Force missions. Unfortunately, predictions are often fraught with uncertainty so that effective means for quantifying that uncertainty are of pararuount importance. The research effort investigates and resolves important algorithmic, mathematical, and practical issues related to the efficient, accurate, and robust computational determination of the quantities of interest used by engineers and decision makers that are determined from solutions of partial differential equations." @default.
- W215175093 created "2016-06-24" @default.
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- W215175093 date "2012-01-19" @default.
- W215175093 modified "2023-09-25" @default.
- W215175093 title "Advanced Numerical Methods for Computing Statistical Quantities of Interest from Solutions of SPDES" @default.
- W215175093 doi "https://doi.org/10.21236/ada563949" @default.
- W215175093 hasPublicationYear "2012" @default.
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