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Curve Fitting Toolbox 3.0

Fit curves and surfaces to data using regression, interpolation, and smoothing


Surface generated using the Surface Fitting Tool.

Curve Fitting Toolbox™ provides graphical tools and command-line 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 postprocessing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives.


Trials available for Curve Fitting Toolbox
Adobe Acrobat Required  View data sheet (3,110k)



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École Centrale de Lyon

"MATLAB and Simulink make it easy for students and professors alike to develop algorithms, design systems, and then visualize results. When we are happy with the model, we generate code with confidence that it will work as designed, with no errors."
- Dr. Paule Blanchart