The surfpack software library for surrogate modeling of sparse irregularly spaced multidimensional data.
- University of Illinois Urbana-Champaign, Urbana, IL
Surfpack is a general-purpose software library of multidimensional function approximation methods for applications such as data visualization, data mining, sensitivity analysis, uncertainty quantification, and numerical optimization. Surfpack is primarily intended for use on sparse, irregularly-spaced, n-dimensional data sets where classical function approximation methods are not applicable. Surfpack is under development at Sandia National Laboratories, with a public release of Surfpack version 1.0 in August 2006. This paper provides an overview of Surfpack's function approximation methods along with some of its software design attributes. In addition, this paper provides some simple examples to illustrate the utility of Surfpack for data trend analysis, data visualization, and optimization.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 943891
- Report Number(s):
- SAND2006-1144C; TRN: US200902%%350
- Resource Relation:
- Conference: Proposed for presentation at the 2006 AIAA Multidisciplinary Analysis & Optimization Conference held September 6-8, 2006 in Portsmouth, VA.
- Country of Publication:
- United States
- Language:
- English
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