Data Visualization Using Rational Trigonometric Spline | Zendy

Uzma Bashir | Zendy; Jamaludin Md. Ali | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Data Visualization Using Rational Trigonometric Spline

Author(s) -

Uzma Bashir,

Jamaludin Md. Ali

Publication year - 2013

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2013/531497

Subject(s) - piecewise , monotone polygon , trigonometry , spline (mechanical) , curve fitting , computer science , algorithm , smoothing spline , mathematics , spline interpolation , artificial intelligence , geometry , mathematical analysis , computer vision , machine learning , structural engineering , engineering , bilinear interpolation

This paper describes the use of trigonometric spline to visualize the given planar data. The goal of this work is to determine the smoothest possible curve that passes through its data points while simultaneously satisfying the shape preserving features of the data. Positive, monotone, and constrained curve interpolating schemes, by using a C1 piecewise rational cubic trigonometric spline with four shape parameters, are developed. Two of these shape parameters are constrained and the other two are set free to preserve the inherited shape features of the data as well as to control the shape of the curve. Numerical examples are given to illustrate the worth of the work

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research