# 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.