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.

To interactively 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 more information, see Interpolation with Curve Fitting Toolbox.

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

Interpolation with Curve Fitting Toolbox
Apply interpolation methods to estimate values between known data points for curves and surfaces.
Extrapolation for Interpolant Fit Types
Extrapolation is a process for estimating dependent variable values for independent variable values outside of the fitting data domain.
Nonparametric Fitting
Perform nonparametric fitting to create smooth curves or surfaces through your data with interpolants and smoothing splines.

Related Information

Numerical Methods with Applications (MathWorks Teaching Resources)