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Bicubic partially blended rational fractal surface for a constrained interpolation problem

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Abstract

This paper investigates some univariate and bivariate constrained interpolation problems using fractal interpolation functions. First, we obtain rational cubic fractal interpolation functions lying above a prescribed straight line. Using a transfinite interpolation via blending functions, we extend the properties of the univariate rational cubic fractal interpolation function to generate surfaces that lie above a plane. In particular, the constrained bivariate interpolation discussed herein includes a method to construct fractal interpolation surfaces that preserve positivity inherent in a prescribed data set. Uniform convergence of the bivariate fractal interpolant to the original function which generates the data is proven.

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Acknowledgments

The first two authors wish to thank the Science and Engineering Research Council (SERC), Department of Science and Technology (DST) India (Project No. SR/S4/MS: 694/10).

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Correspondence to A. K. B. Chand.

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Communicated by Antonio José Silva Neto.

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Chand, A.K.B., Viswanathan, P. & Vijender, N. Bicubic partially blended rational fractal surface for a constrained interpolation problem. Comp. Appl. Math. 37, 785–804 (2018). https://doi.org/10.1007/s40314-016-0373-1

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  • DOI: https://doi.org/10.1007/s40314-016-0373-1

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