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