Seminar Details:

LANS Informal Seminar
"Analysis of Large-Scale Computer Experiments"

DATE: November 14, 2012

TIME: 15:00:00 - 16:00:00
SPEAKER: Lulu Kang, Assistant Professor, Applied Mathematics Department, Illinois Institute of Technology
LOCATION: Building 240, 1404-1405, Argonne National Laboratory

Computer experiments simulate the engineering systems by implementing the mathematical models governing the systems in computers. Recently, experiments having large number of input variables and experimental runs started to emerge. In the existing literature, kriging has been commonly used for approximating the complex computer models, but it has limitations for dealing with the large-scale experiments due to its computational complexity and numerical stability. In this talk, we present three new modeling approaches: regression-based inverse distance weighting (RIDW), Kernel approximation, and Approximate Kriging. The proposed methods are shown to be computationally more efficient and numerically more stable than kriging while producing comparable prediction performance.


Please send questions or suggestions to Jeffrey Larson: jmlarson at anl dot gov.