A Comparison of Nonlinear Regression Codes
Article Sidebar
Published
May 1, 2005
Main Article Content
Paul Fredrick Mondragon
United States Navy, China Lake, California
Brian Borchers
Department of Mathematics, New Mexico Tech
Abstract
Five readily available software packages were tested on nonlinear regression test problems from the NIST Statistical Reference Datasets. None of the packages was consistently able to obtain solutions accurate to at least three digits. However, two of the packages were somewhat more reliable than the others.
Article Details
Issue
Section
Articles