Commands from this category act on the data range from the current serie and allows you to perform curve fitting.

What is fitting? Suppose that you have a table of numbers, Y_{i} and X_{i}, i=0..n. Then suppose that you have model representation for these numeric Y(X) data: Y=f(X,p_{j}), j=1..m, and you want to find numeric values of p_{j} that made table-defined curve Y_{i}( X_{i}) and model curve Y=f(X,p_{j}) most similar. This process is known as fitting. If model function has linear dependence on fitting parameters, this can be treated as linear fitting, otherwise you will have non-linear fitting problem.

It should be mentioned that both linear and NLSF fitters are accessible via OLE Automation (see Programmer's Guide for more details). This feature allows you to create powerful automatic routines for initial NLSF parameter evaluation and batch fitting.

Warning: Linear Fit, LM Fit and Manual Fit tools are loaded into the Browser window. So that, any application running in this window will be terminated!

Actions:

Title

Description

Linear Fit

Linear fitter with several predefined functions

LM Fit

Non-linear Levenberg-Marquardt fitter

Lorentzian Fit

Lorentzian peak fitter with parameter preprocessing