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 application builds  spline  as a special function defined piecewise by polynomials
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 Tables with this data can be exported for printing, for example, using the Sqlit browser or by Internet.



build  spline  as a special function defined piecewise by polynomials
interpolate real functions(set of points (X, Y)) from a single variable to obtain a smooth continuous spline function.
can be applied interpolation methods: Newton's, Aitken's, cubic Hermite's, cardinal spline
Catmul - Rom's spline, Kochanek-Bartls's spline, linear interpolation and nearest neighbor interpolation.
results data can be exported and sending by Internet
create, delete and selection of a folder for storage data results