Curve Fitting Toolbox

What Is the Curve Fitting Toolbox?

The Curve Fitting Toolbox is a collection of graphical user interfaces (GUIs) and M-file functions built on the MATLAB^® technical computing environment. The toolbox provides you with these main features:

• Data preprocessing such as sectioning and smoothing
• Parametric and nonparametric data fitting:
• You can perform a parametric fit using a toolbox library equation or using a custom equation. Library equations include polynomials, exponentials, rationals, sums of Gaussians, and so on. Custom equations are equations that you define to suit your specific curve fitting needs.
• You can perform a nonparametric fit using a smoothing spline or various interpolants.
• Standard linear least squares, nonlinear least squares, weighted least squares, constrained least squares, and robust fitting procedures
• Fit statistics to assist you in determining the goodness of fit
• Analysis capabilities such as extrapolation, differentiation, and integration
• A graphical environment that allows you to:
• Explore and analyze data sets and fits visually and numerically
• Save your work in various formats including M-files, binary files, and workspace variables

Preface

Exploring the Toolbox