Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints. You choose the type of fit: linear, quadratic. A 30 day evaluation copy is. LabFit performs multiple non-linear regression curve fitting, graph 2D and 3D. The models to which data are fitted depend on adjustable. The goal of data or curve fitting is to find the parameter values that most closely match the data.
Objectives: This tutorial is an introduction to curve fitting, the study of ways of constructing functions whose graphs are curves that "best" approximates a given. Fit curves and surfaces to data using regression, interpolation, and smoothing. With your mouse, drag data points and their error bars, and watch the best-fit polynomial curve update instantly. Fitting a curve without choosing a model. Curve Fitting Toolbox™ provides graphical tools and command-line functions.
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