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This research paper is devoted towards the development of a
novel hybrid model and its application in the visualization of scientific
data. A hybrid model GPRC FIF, based on the spline and fractal interpolation, is established having four parameters and one scaling factor in
its description. Data dependent constraints are achieved on two parameters and one scaling factor to envisage the inherit shape (positive) of the
data. While two parameters are kept free to provide the shape flexibility
to the user. The proposed scheme is also implemented on few numerical
data sets to demonstrate the proposed mathematical results graphically.
Moreover, the comparative analysis of proposed method with two existing
methods is also deliberated.
Tayba Arooj, Farsia Hussain, Malik Zawwar Hussain. (2019) Scientific Data Visualization via Hybrid Model based on Fractal Spline Interpolation, , Volume 51, Issue 9.
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