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Nonlinear Model Fitting to Numerical Data
Author

Pekka Janhunen
Organization: Finnish Meterological Institute
Old MathSource #

0202-150
Revision date

1992-02-01
Description

Nonlinear Fitting A generalization of the built-in Fit function to handle nonlinear cases: give a model (arbitrary Mathematica expression) depending on a number of free parameters and data, and the program gives you the values of parameters that best fit the data. The package uses the Levenberg-Marquardt method. Convergence generally depends on the initial estimate you give. The data may be multidimensional.
Subject

*Mathematics > Probability and Statistics
Keywords

curve fit, levenberg-marquardt, levenberg, marquardt, NonlinearFit, Fit, Errors, MaxIterations, InitialGuess, Simplifier, ErrorNotation, ProgressTrace, NonlinearFit.m, NLFitTest.ma
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NLFitTest.nb (23.7 KB) - Mathematica Notebook
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NonlinearFit.m (9.3 KB) - Mathematica Package

Files specific to Mathematica 2.2 version:
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NLFitTest.ma (20.9 KB) - Mathematica Notebook 2.2 or older