Curve Fitting Toolbox™ provides an app and functions for fitting curves and surfaces to data. The toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations. The library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing.
After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives.
Discover more about Curve Fitting Toolbox by exploring these resources.
Explore documentation for Curve Fitting Toolbox functions and features, including release notes and examples.
Browse the list of available Curve Fitting Toolbox functions.
View system requirements for the latest release of Curve Fitting Toolbox.
View articles that demonstrate technical advantages of using Curve Fitting Toolbox.
Curve Fitting Toolbox requires: MATLAB
Use Curve Fitting Toolbox to solve scientific and engineering challenges: