Spline Interpolation

The application is intended for interpolation of numerical data - real functions given by a set of points (X, Y) in the values of the argument X0, X1, X2 ... Xn, to obtain a smooth continuous spline function.

The following interpolation methods can be applied: Newton's; Aitken's; cubic Hermit's method; cardinal spline interpolation; Catmul-Rom's spline; Kochanek-Bartls's spline; linear interpolation; and interpolation to the nearest neighbor.

The functions, the results of their processing and their interpolation can be stored in a database of type Sqlit with identifier splineResercher.db Tables with this data can be exported for printing, for example, using the Sqlit browser. Run "Initialize DB" when booting the application. from the startup activity menu. Doing so also loads the list of several sample numerical data-functions .

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