Parameter Identification for a Class of Bivariate Fractal Interpolation Functions and Constrained Approximation

被引:21
|
作者
Verma, S. [1 ]
Viswanathan, P. [1 ]
机构
[1] IIT Delhi, Dept Math, New Delhi 110016, India
关键词
Box dimension; constrained approximation; fractal interpolation function; hausdorff dimension; parameter identification; MINKOWSKI DIMENSION; BOX DIMENSION; SURFACES; CONSTRUCTION;
D O I
10.1080/01630563.2020.1738458
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The current article intends to study some elementary constrained approximation aspects of the bivariate fractal functions. To this end, firstly the construction of bivariate fractal interpolation functions available in the literature is revisited with a focus to obtain a parameterized family of fractal functions corresponding to a prescribed bivariate continuous function on a rectangular region inR2.The parameters are chosen appropriately so that the corresponding fractal version preserves some properties inherent in the original function. We apply these results to invite the notion of bivariate fractal functions to the field of constrained approximation. Furthermore, we attempt to investigate the box dimension and Hausdorff dimension of the graph of the constructed bivariate fractal function.
引用
收藏
页码:1109 / 1148
页数:40
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