

 |
 |
 |
 |
 |
 |
 |
 |
 |
 Nonlinear Model Fitting to Numerical Data
 |
 |
 |
 |
 |
 |

Organization: | Finnish Meterological Institute |
 |
 |
 |
 |
 |
 |
 0202-150
 |
 |
 |
 |
 |
 |
 1992-02-01
 |
 |
 |
 |
 |
 |

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.
 |
 |
 |
 |
 |
 |

 |
 |
 |
 |
 |
 |
 curve fit, levenberg-marquardt, levenberg, marquardt, NonlinearFit, Fit, Errors, MaxIterations, InitialGuess, Simplifier, ErrorNotation, ProgressTrace, NonlinearFit.m, NLFitTest.ma
 |
 |
 |
 |
 |
 |

| NLFitTest.nb (23.7 KB) - Mathematica Notebook | | NonlinearFit.m (9.3 KB) - Mathematica Package |  Files specific to Mathematica 2.2 version:
 | | NLFitTest.ma (20.9 KB) - Mathematica Notebook 2.2 or older |
 |
 |
|
 |
 |
 |
 |
| | | |  | |
|