Spline Postprocessing

Evaluate splines, plot, find minimum or zero-crossings, integrate or differentiate

After fitting a spline, use postprocessing methods to analyze if the fit to the data is accurate.

Use Curve Fitting Toolbox™ functions to perform tasks such as plotting, evaluating, or calculating derivatives, integrals, and differences between splines.

Functions

`fn2fm`	Convert to specified form
`fnbrk`	Name and part(s) of form
`fnchg`	Change part(s) of form
`fncmb`	Arithmetic with function(s)
`fnder`	Differentiate function
`fndir`	Directional derivative of function
`fnint`	Integrate function
`fnjmp`	Jumps, i.e., f(x+)-f(x-)
`fnmin`	Minimum of function in given interval
`fnplt`	Plot function
`fnrfn`	Refine partition of form
`fntlr`	Taylor coefficients
`fnval`	Evaluate spline function
`fnxtr`	Extrapolate spline
`fnzeros`	Roots of spline
`franke`	Franke's bivariate test function
`spterms`	Explain spline terms
`titanium`	Titanium test data

Topics

Postprocessing Splines
After constructing a spline, use postprocessing functions for tasks such as plotting, evaluating, or calculating derivatives, integrals and differences between splines.