HR: 10:20h
AN: H32B-01 INVITED    [Abstracts]
TI: Role of Optimization in Uncertainty Analysis of Computationally Expensive Simulation Models
AU: * Shoemaker, C
EM: cas12@cornell.edu
AF: Cornell University, Civil and Environmental Engr, Ithaca, NY 14853, United States
AB: Uncertainty Analysis typically requires a large number of model simulations. This is not feasible for computatioally expensive models We discuss how optimization methods can reduce the required computational efforts. We also discuss the use of new response surface optimizatio algorithms that can substantially reduce the number of simulations required. A groundwater application will be discussed.
DE: 1805 Computational hydrology
SC: Hydrology [H]
MN: 2007 Fall Meeting