✨
AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Moreover, positive, constrained and monotone data preserving schemes are developed. 2000 Mathematics Subject Classifications: 68U05, 65D05, 65D07, 65D18.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:This paper deals with the shape preserving $ C^ 1$ rational cubic interpolation.
📊
Key Findings & Data:The developed rational cubic interpolating function has only one free parameter.
💡
Conclusion & Impact:Moreover, positive, constrained and monotone data preserving schemes are developed. 2000 Mathematics Subject Classifications: 68U05, 65D05, 65D07, 65D18.
🔬Design:Research Article
📍Scope:2000 Verileri
⚙️Variables:Domain Parameters
Abstract
This paper deals with the shape preserving $ C^ 1$ rational cubic interpolation. The developed rational cubic interpolating function has only one free parameter. The approximation order of rational cubic function is investigated and range of optimal error constant is determined. Moreover, positive, constrained and monotone data preserving schemes are developed. 2000 Mathematics Subject Classifications: 68U05, 65D05, 65D07, 65D18.
🔖
Cite This Article
SARFRAZ, M., HUSSAİN, M. Z., HUSSAİN, M. (2022). Scientific data visualization with shape preserving $C^1$ rational cubic interpolation. European Journal of Pure and Applied Mathematics (elektronik), Cilt: 3 - Sayı: 2, 194–212. https://ajindex.com/articles/511346