Nooraihan Abdullah
Thumbnail Image
Preferred name
Nooraihan Abdullah
Official Name
Nooraihan, Abdullah
Alternative Name
Abdullah, Nooraihan
Abdullah, N.
Main Affiliation
Scopus Author ID
54398226900
Researcher ID
CBC-8672-2022

Research Output

Filters

2
2
2
Reset filters

Settings
Now showing 1 - 2 of 2
  • Publication
    Visualization of monotonic shaped data by a rational cubic Ball
    (Universiti Malaysia Perlis, 2025-02-17)
    Wan Nurhadani Wan Jaafar
    ;
    Siti Jasmida Jamil
    ;
    Shakila Saad
    ;
    Nooraihan Abdullah
    This paper discusses the monotonicity-preserving curve interpolation of 2D monotone data. A piecewise rational cubic Ball function in form of (cubic numerator /cubic denominator), with four shape parameters is presented. The rational cubic Ball spline has four shape parameters in its descriptions where two of them are constrained shape parameters and remaining two of them provide the freedom to user to easily control the shape of the curve by simply changing their values. The sufficient data dependent conditions are derived for two shape parameters to insure the monotonicity everywhere. Numerical results show that the Ball interpolation scheme is quite efficient and well tested for monotone data.
  • Publication
    Visualization of monotonic shaped data by a rational cubic Ball
    (Universiti Malaysia Perlis, 2025-02-17)
    Wan Nurhadani Wan Jaafar
    ;
    Siti Jasmida Jamil
    ;
    Shakila Saad
    ;
    Nooraihan Abdullah
    This paper discusses the monotonicity-preserving curve interpolation of 2D monotone data. A piecewise rational cubic Ball function in form of (cubic numerator /cubic denominator), with four shape parameters is presented. The rational cubic Ball spline has four shape parameters in its descriptions where two of them are constrained shape parameters and remaining two of them provide the freedom to user to easily control the shape of the curve by simply changing their values. The sufficient data dependent conditions are derived for two shape parameters to insure the monotonicity everywhere. Numerical results show that the Ball interpolation scheme is quite efficient and well tested for monotone data.
      7  1