------------------------------------------------------------------------------ Surfpack: A Library of Multidimensional Surface Fitting Methods ------------------------------------------------------------------------------ Anthony A. Giunta Mark Richards Eric Cyr Shannon L. Brown Laura P. Swiler Michael S. Eldred Keith R. Dalbey Brian M. Adams Contact: Brian M. Adams Sandia National Laboratories P.O. Box 5800, Mail Stop 1318 Albuquerque, NM 87185-1318 Email: surfpack-developers@development.sandia.gov Web: http://dakota.sandia.gov/packages/surfpack ------------------------------------------------------------------------------ License: Surfpack is distributed under the GNU Lesser General Public License. It is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version. A copy of this license is included in the GNU_LICENSE_INFO file, and is also available online from http://www.gnu.org/licenses/lgpl.html. Also refer to the COPYRIGHT file for important U.S. Government legal notices. The Surfpack distribution contains libraries which are available separately under compatible licensing terms. In particular, many of the libraries in src are available separately under either the GNU Lesser General Public License (LGPL). ------------------------------------------------------------------------------ Overview: The Surfpack library provides a collection of surface fitting methods and quality-of-fit metrics that can be used to quantify the error in the resulting approximations. Currently supported data-fitting algorithms include least-squares linear regression, multivariate adaptive regression splines (MARS), Kriging interpolation, artificial neural networks, and radial basis function networks. These algorithms are available both as a C++ library and as a standalone program with a simple shell interface. ------------------------------------------------------------------------------ Surfpack References: General Information on Surfpack Web: http://dakota.sandia.gov/packages/surfpack Surfpack User's Manual (available on the website) Technical Documents: Giunta, A. A., Swiler, L. P., Brown, S. L., Eldred, M. S., Richards, M. D., and Cyr, E. C., "The Surfpack Software Library for Surrogate Modeling of Sparse Irregularly Spaced Multidimensional Data," (to appear) 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA Paper 2006-7049, Portsmouth, VA, 2006.