Add to ORKGIn this-report we present a FORTRAN IV programme for fitting cubic splines by Least Squares to data given-at arbitrary points. The algorithm used was first given by J.Go Hayes and Jy Halliday [lJ. Representation of cubic spline by means of B-splines and the use of Householder13; transformation in obtaining the least squares solution13; are two of the most important features of this algorithm
A rational cubic spline, with one family of shape parameters, has been discussed with the view to it...
AbstractIn this paper a method is presented for fitting, in the least-squares sense, a bivariate cub...
<p>A rational cubic spline, with one family of shape parameters, has been discussed with the view to...
In this-report we present a FORTRAN IV programme for fitting cubic splines by Least Squares to data ...
Readers of the Gazette will be familiar with the use of least squares to find the polynomial that be...
AbstractIn this paper a method is presented for fitting, in the least-squares sense, a bivariate cub...
Another method for cubic spline curve fitting. It is a more flexible version of a proven technique b...
AbstractThis paper addresses new algorithms for constructing weighted cubic splines that are very ef...
The unknown functions for data points are studied. We need to obtain the physically correct results....
This paper presents a new framework for approximating data with smooth splines. The classical spline...
Two algorithms are presented for smoothing arbitrary sets of data. They are the explicit variable al...
This paper introduces a new method to compute the approximating explicit B-spline curve to a given s...
We begin by considering the problem of fitting a single Bézier curve segment to a set of ordered dat...
Abstract- Spline approximation is often preferred over polynomial approximation. They require less n...
[[abstract]]B-spline curves are well-known utilities for shape modeling and analysis. They have been...
A rational cubic spline, with one family of shape parameters, has been discussed with the view to it...
AbstractIn this paper a method is presented for fitting, in the least-squares sense, a bivariate cub...
<p>A rational cubic spline, with one family of shape parameters, has been discussed with the view to...
In this-report we present a FORTRAN IV programme for fitting cubic splines by Least Squares to data ...
Readers of the Gazette will be familiar with the use of least squares to find the polynomial that be...
AbstractIn this paper a method is presented for fitting, in the least-squares sense, a bivariate cub...
Another method for cubic spline curve fitting. It is a more flexible version of a proven technique b...
AbstractThis paper addresses new algorithms for constructing weighted cubic splines that are very ef...
The unknown functions for data points are studied. We need to obtain the physically correct results....
This paper presents a new framework for approximating data with smooth splines. The classical spline...
Two algorithms are presented for smoothing arbitrary sets of data. They are the explicit variable al...
This paper introduces a new method to compute the approximating explicit B-spline curve to a given s...
We begin by considering the problem of fitting a single Bézier curve segment to a set of ordered dat...
Abstract- Spline approximation is often preferred over polynomial approximation. They require less n...
[[abstract]]B-spline curves are well-known utilities for shape modeling and analysis. They have been...
A rational cubic spline, with one family of shape parameters, has been discussed with the view to it...
AbstractIn this paper a method is presented for fitting, in the least-squares sense, a bivariate cub...
<p>A rational cubic spline, with one family of shape parameters, has been discussed with the view to...