Data Variation in Coalescence Fractal Interpolation Function
Srijanani Anurag Prasad
TL;DR
This paper investigates how changes in data points affect the construction and properties of Coalescence Hidden-variable Fractal Interpolation Functions, highlighting the sensitivity of the method to data variation.
Contribution
It provides an analysis of the impact of data insertion on the IFS and the resulting fractal interpolation function, which was not previously detailed.
Findings
Data insertion alters the structure of the IFS.
Changes in data affect the shape of the fractal interpolation function.
The study clarifies the relationship between data variation and fractal properties.
Abstract
The Iterated Function System(IFS) used in the construction of Coalescence Hidden-variable Fractal Interpolation Function depends on the interpolation data. In this note, the effect of insertion of data on the related IFS and the Coalescence Hidden-variable Fractal Interpolation Function is studied.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Dynamics and Fractals · Chaos control and synchronization