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

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...

全面介紹

Saved in:
書目詳細資料
Main Authors: Samsul Ariffin Abdul Karim 1,2,3,* ,, Rakib Mustafa, Humaira Mustanira Tariq, Ghulam Mustafa, Rabia Hameed, Sidra Razaq
格式: Article
語言:English
English
出版: MDPI AG 2023
主題:
在線閱讀: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
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!

相似書籍