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An algorithm for smoothing, differentiation and integration of experimental data using spline functions

1975; Elsevier BV; Volume: 1; Issue: 3 Linguagem: Inglês

10.1016/0771-050x(75)90034-0

1879-1778

Paul Dierckx,

Iterative Methods for Nonlinear Equations

This paper presents an algorithm for fitting a smoothing spline function to a set of experimental or tabulated data. The obtained spline approximation can be used for differentiation and integration of the given discrete function. Because of the ease of computation and the good conditioning properties we use normalised B-splines to represent the smoothing spline. A Fortran implementation of the algorithm is given.