Interpolation

Fit interpolating curves or surfaces, estimate values between known data points

Interpolation is a method of estimating values between known data points. Use interpolation to smooth observed data, fill in missing data, and make predictions. Curve Fitting Toolbox™ functions allow you to perform interpolation by fitting a curve or surface to the data. For more information, see Interpolation Methods.

To fit an interpolating curve or surface, use the Curve Fitter app. Fit an interpolating curve or surface at the command line by using the fit function. For information on choosing an interpolant fit, see Selecting an Interpolant Fit.

Apps

Curve Fitter

Fit curves and surfaces to data

Functions

`excludedata`	Exclude data from fit
`fit`	Fit curve or surface to data
`fittype`	Fit type for curve and surface fitting
`fitoptions`	Create or modify fit options object
`get`	Get fit options structure property names and values
`set`	Assign values in fit options structure
`feval`	Evaluate `cfit`, `sfit`, or `fittype` object
`prepareCurveData`	Prepare data inputs for curve fitting
`prepareSurfaceData`	Prepare data inputs for surface fitting

Topics

Selecting an Interpolant Fit
Fit interpolant models in the Curve Fitter app or with the fit function.
Interpolation Methods
Apply interpolation methods to estimate values between known data points for curves and surfaces.
Nonparametric Fitting
Perform nonparametric fitting to create smooth curves or surfaces through your data with interpolants and smoothing splines.