Breaks, Knots, and Sites

Optimize knots and breaks

A spline is a series of polynomial functions joined at intervals called knots or breaks.

Use Curve Fitting Toolbox™ functions to determine the locations of the knots that optimize interpolation.

Functions

`aptknt`	Acceptable knot sequence
`augknt`	Augment knot sequence
`aveknt`	Provide knot averages
`brk2knt`	Convert breaks with multiplicities into knots
`chbpnt`	Good data sites, Chebyshev-Demko points
`knt2brk, knt2mlt`	Convert knots to breaks and their multiplicities
`newknt`	New break distribution
`optknt`	Knot distribution “optimal” for interpolation
`sorted`	Locate sites with respect to mesh sites

Select and optimize knots using the optknt and newknt commands from Curve Fitting Toolbox™.

Use commands from Curve Fitting Toolbox™ to fit a spline to titanium test data with manual and automatic selection of knots.