## Method

In the mathematical field of numerical analysis, spline interpolation is a form of interpolation where the interpolant is a special type of
piecewise polynomial called a spline. Spline interpolation is preferred over polynomial interpolation because the interpolation
error can be made small even when using low degree polynomials for the spline.
Spline interpolation avoids the problem of Runge's phenomenon which occurs when interpolating between equidistant points with high
degree polynomials.

See Cubic Spline Interpolation and
Polynomial Interpolation

## Help

**Version: 1.4**
Explanation: Select Cubic Spline or Polynomial interpolation or both.
Enter points that need to be approximated with a polynomial. e.g. -2,1;-1.5,2;-1,2;-0.5,1.5;

0,1;0.5,1.5;1,2;1.5,3;2,5 and hit the Solve Interpolation button.

The degree of the approximated polynomial can be set between 1..9.

Floating point in standard notation with e or E as the exponent is OK. fx. 120 1.20e2 12E+1 1200E-1 all represent the same number 120.

Verbose print-out details about each iteration step, if checked.

The Test button setup default points to approximate (for testing only)

**Email: hve@hvks.com if you have any questions.**

This version has been tested with Edge, Chrome, Safari, and Firefox browsers.