Surrogate modeling with surfpack.
Conference
·
OSTI ID:1035640
Surfpack is a library of multidimensional function approximation methods useful for efficient surrogate-based sensitivity/uncertainty analysis or calibration/optimization. I will survey current Surfpack meta-modeling capabilities for continuous variables and describe recent progress generalizing to both continuous and categorical factors, including relevant test problems and analysis comparisons.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1035640
- Report Number(s):
- SAND2010-8336C; TRN: US201205%%205
- Resource Relation:
- Conference: Proposed for presentation at the INFORMS Annual Meeting 2010 held November 7-10, 2010 in Austin, TX.
- Country of Publication:
- United States
- Language:
- English
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