Abstract

A C1 piecewise rational trigonometric cubic function with four shape parameters has been constructed to address the problem of visualizing positive data. Simple data‐dependent constraints on shape parameters are derived to preserve positivity and assure smoothness. The method is then extended to positive surface data by rational trigonometric bicubic function. The order of approximation of developed interpolant is .

Highlights

  • Data visualization is the mechanism to communicate information by means of graphs, images, diagrams, and animations

  • The positive data visualization of both curve and surface data is addressed by a rational trigonometric cubic function

  • The work in this paper is set up in such a way that Section 2 elucidates the construction of the C1 rational trigonometric cubic function to be used in curve scheme

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Summary

Introduction

Data visualization is the mechanism to communicate information by means of graphs, images, diagrams, and animations. The positive data visualization of both curve and surface data is addressed by a rational trigonometric cubic function. Goodman et al 3 constructed nonplanar shape preserving interpolating curve scheme They obtained a curve through an optimization process involving some fairness criteria, in order to achieve curve by G2 piecewise rational cubic function. Hussain and Sarfraz 9 developed a piecewise rational cubic function with four families of parameters to preserve the shape of positive data. The work in this paper is set up in such a way that Section 2 elucidates the construction of the C1 rational trigonometric cubic function to be used in curve scheme.

C1 Rational Trigonometric Cubic Function
Error Estimation of Interpolation
Rational Trigonometric Bicubic Function
C1 Rational Trigonometric Bicubic Function
Positivity Preserving Techniques
Positive Curve Interpolation
C1 Positive Surface Interpolation
Numerical Examples
Conclusion
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