Add to ORKGThis paper generalizes the classical cubic spline with the construction of the cubic spline coa-lescence hidden variable fractal interpolation function (CHFIF) through its moments, i.e. its second derivative at the mesh points. The second derivative of a cubic spline CHFIF is a typ-ical fractal function that is self-affine or non-self-affine depending on the parameters of the generalized iterated function system. The convergence results and effects of hidden variables are discussed for cubic spline CHFIFs
The approximation of experimental data can be envisaged in the light of fractal\ud interpolation fun...
Reproducing Kernel Hilbert Spaces (RKHS) and their kernel are important tools which have been found ...
aÒgarcia de galdeanoÓ garca de galdeano seminario matemticon. 19 PRE-PUBLICACIONES del seminario mat...
This paper generalizes the classical spline using a new construction of spline coalescence hidden va...
Fractal methodology provides a general setting for the understanding of realworld phenomena. In part...
Fractal interpolation that possesses the ability to produce smooth and nonsmooth inter- polants is a...
In the literature, a rational cubic spline fractal interpolation function is developed using a ratio...
This textbook is intended to supplement the classical theory of uni- and multivariate splines and th...
Fractal interpolation functions (FIFs) supplement and subsume all classical interpolants. The major ...
AbstractThe calculus of deterministic fractal functions is introduced. Fractal interpolation functio...
The study of chaotic dynamical systems has given rise to a new geometry for classifying non-integral...
Fractal interpolation function (FIF) constructed through an iterated function system is more versati...
.M Prenter defines a cubic Spline function in an interval [a, b] as a piecewise cubic polynomial wh...
The fractal interpolation functions defined by iterated function systems provide new methods of appr...
This paper investigates the Fourier transform of a hidden variable fractal interpolation function wi...
The approximation of experimental data can be envisaged in the light of fractal\ud interpolation fun...
Reproducing Kernel Hilbert Spaces (RKHS) and their kernel are important tools which have been found ...
aÒgarcia de galdeanoÓ garca de galdeano seminario matemticon. 19 PRE-PUBLICACIONES del seminario mat...
This paper generalizes the classical spline using a new construction of spline coalescence hidden va...
Fractal methodology provides a general setting for the understanding of realworld phenomena. In part...
Fractal interpolation that possesses the ability to produce smooth and nonsmooth inter- polants is a...
In the literature, a rational cubic spline fractal interpolation function is developed using a ratio...
This textbook is intended to supplement the classical theory of uni- and multivariate splines and th...
Fractal interpolation functions (FIFs) supplement and subsume all classical interpolants. The major ...
AbstractThe calculus of deterministic fractal functions is introduced. Fractal interpolation functio...
The study of chaotic dynamical systems has given rise to a new geometry for classifying non-integral...
Fractal interpolation function (FIF) constructed through an iterated function system is more versati...
.M Prenter defines a cubic Spline function in an interval [a, b] as a piecewise cubic polynomial wh...
The fractal interpolation functions defined by iterated function systems provide new methods of appr...
This paper investigates the Fourier transform of a hidden variable fractal interpolation function wi...
The approximation of experimental data can be envisaged in the light of fractal\ud interpolation fun...
Reproducing Kernel Hilbert Spaces (RKHS) and their kernel are important tools which have been found ...
aÒgarcia de galdeanoÓ garca de galdeano seminario matemticon. 19 PRE-PUBLICACIONES del seminario mat...