Volume 41, pp. 420-442, 2014.
-fractal rational splines for constrained interpolation
Puthan Veedu Viswanathan and Arya Kumar Bedabrata Chand
Abstract
This article is devoted to the development of a constructive approach to
constrained interpolation problems from a fractal
perspective. A general construction of an -fractal function
the space of all -times continuously differentiable functions,
by a fractal perturbation of a
traditional function using a finite
sequence of base functions is introduced. The construction of
smooth -fractal functions described here allows us to
embed shape parameters within the structure of differentiable
fractal functions. As a consequence, it provides a unified
approach to the fractal generalization of various traditional
non-recursive rational splines studied in the field of shape
preserving interpolation. In particular, we introduce a class of
-fractal rational cubic splines and investigate its shape preserving aspects. It is
shown that converges to the original function with respect to the -norm provided that
a suitable mild condition is imposed on the scaling vector
. Besides adding a layer of flexibility, the constructed
smooth -fractal rational spline outperforms its classical
non-recursive counterpart in approximating functions with
derivatives of varying irregularity. Numerical examples are
presented to demonstrate the practical importance of the shape
preserving -fractal rational cubic splines.
Full Text (PDF) [320 KB],
BibTeX
Key words
iterated function system, -fractal function, rational cubic spline, convergence, convexity, monotonicity, positivity
AMS subject classifications
28A80, 26A48, 26A51, 65D07, 41A20, 41A29, 41A05
Links to the cited ETNA articles
ETNA articles which cite this article
Vol. 44 (2015), pp. 639-659 Puthan Veedu Viswanathan and Arya Kumar Bedabrata Chand:
Monotone-Comonotone approximation by fractal cubic splines and polynomials
|
Vol. 51 (2019), pp. 1-14 Vijender Nallapu:
Bernstein fractal approximation and fractal full Müntz theorems
|