The Generalized Classes of Linear Symmetric Subdivision Schemes Free from Gibbs Oscillations and Artifacts in the Fitting of Data

• Main Authors: Samsul Ariffin Abdul Karim 1,2,3,* ,, Rakib Mustafa, Humaira Mustanira Tariq, Ghulam Mustafa, Rabia Hameed, Sidra Razaq
• Format: Article
• Language: English; English
• Published: MDPI AG 2023
• Subjects: QA76.75-76.765 Computer software
• Online Access: https://eprints.ums.edu.my/id/eprint/39222/1/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/39222/2/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/39222/; https://doi.org/10.3390/sym15091620

This paper presents the advanced classes of linear symmetric subdivision schemes for the fitting of data and the creation of geometric shapes. These schemes are derived from the Bspline and Lagrange’s blending functions. The important characteristics of the derived schemes, including continuity, sup...