Curve Fitting Toolbox
Fit curves and surfaces to data using regression, interpolation, and smoothing
Curve Fitting App
Fit curves using the Curve Fitting app or command-line fit functions.
Fit surfaces using the Curve Fitting app or command-line fit functions.
Apply linear regression by choosing from standard regression models or by using custom equations. All of the standard regression models include optimized solver parameters and starting conditions to improve fit quality.
Apply nonlinear parametric regression using exponentials, Fourier series, power series, Gaussians, and standard models.
Fit interpolating curves or surfaces, and estimate values between known data points.
Smooth data with moving average, smoothing splines, and localized regression.
Compare and Evaluate Fits
Create multiple fits, compare graphical and numerical results, and goodness-of-fit statistics. Use validation data to refine your fit.
Customize plotting and perform additional analyses such as outliers, residuals, confidence intervals, integrals, and derivatives.
Fitting Splines to Data
Fit various splines to data, including cubic and smoothing splines with various end conditions, for curves, surfaces, and higher dimensional objects.
B-Splines, Rational Splines, and NURBS
Create B-Splines and Uniform and Non-uniform Rational Splines (NURBS) for analysis of complex surfaces.