Two FORTRAN subroutines are presented that determine interpolating functions for experimental data. The first produces a spline where the smoothness of the function and the degree to which it fits the data is determined by the user. The second allows subdivision of the data, with individual polynomials being used to approximate the data on each interval and the polynomials are constrained to be piecewise continuous along with their first derivatives. An option to make the second derivative continuous is also available
summary:The paper deals with the biquadratic splines and their use for the interpolation in two vari...
Fractal methodology provides a general setting for the understanding of realworld phenomena. In part...
When using smoothing splines to estimate a function, the user faces the problem of choosing the smoo...
summary:In the paper, we are concerned with some computational aspects of smooth approximation of da...
A new type of algebraic spline is used to derive a filter for smoothing or interpolating discrete da...
Supplementary Fortran code and example dataset in Lai & Kaplan (2021) A fast mean-preserving spline ...
summary:The extremal property of quadratic splines interpolating the first derivatives is proved. Qu...
summary:There are two grounds the spline theory stems from - the algebraic one (where splines are un...
AbstractWhen using smoothing splines, a feature of the data, for example, a sharp turn, which we wou...
We compare univariate L1 interpolating splines calculated on 5-point windows, on 7-point windows and...
In the paper, we are concerned with some computational aspects of smooth approximation of data. This...
Abstract—A new type of algebraic spline is used to derive a filter for smoothing or interpolating di...
Spline functions are a form of piecewise polynomials with many diverse uses and applications across ...
When using smoothing splines to estimate a function, the user faces the problem of choosing the smoo...
A method is described for the interpolation of N arbitrarily given data points using fifth degree po...
summary:The paper deals with the biquadratic splines and their use for the interpolation in two vari...
Fractal methodology provides a general setting for the understanding of realworld phenomena. In part...
When using smoothing splines to estimate a function, the user faces the problem of choosing the smoo...
summary:In the paper, we are concerned with some computational aspects of smooth approximation of da...
A new type of algebraic spline is used to derive a filter for smoothing or interpolating discrete da...
Supplementary Fortran code and example dataset in Lai & Kaplan (2021) A fast mean-preserving spline ...
summary:The extremal property of quadratic splines interpolating the first derivatives is proved. Qu...
summary:There are two grounds the spline theory stems from - the algebraic one (where splines are un...
AbstractWhen using smoothing splines, a feature of the data, for example, a sharp turn, which we wou...
We compare univariate L1 interpolating splines calculated on 5-point windows, on 7-point windows and...
In the paper, we are concerned with some computational aspects of smooth approximation of data. This...
Abstract—A new type of algebraic spline is used to derive a filter for smoothing or interpolating di...
Spline functions are a form of piecewise polynomials with many diverse uses and applications across ...
When using smoothing splines to estimate a function, the user faces the problem of choosing the smoo...
A method is described for the interpolation of N arbitrarily given data points using fifth degree po...
summary:The paper deals with the biquadratic splines and their use for the interpolation in two vari...
Fractal methodology provides a general setting for the understanding of realworld phenomena. In part...
When using smoothing splines to estimate a function, the user faces the problem of choosing the smoo...