Interpolation

Interpolation - Creating different interpolated splines which pass through selected points, using specific algorithms. The number of interpolation points need to be inserted between any two adjacent points. The example below has 10 additional data points inserted between adjacent original data points.

•  Cubic Spline - gives the smoothest interpolation.

•  Hermite Spline - is a compromise between the sharp Akima and smooth Cubic Spline.

•  Akima Spline - gives a sharper interpolation compared to Cubic & Hermite Spline.

For ordinary applications users are advised to use Cubic Spline.

Experienced users, who know more about the nature of each graph curve, may wish to use different splines which are more suitable to their situation, please see our website www.labdcek.com