Preserving Positivity And Monotonicity Of Real Data Using Bézier-Ball Function And Radial Basis Function
In this thesis, a rational cubic Bézier-Ball function which refers to a rational cubic Bézier function expressed in terms of Ball control points and weights are used to preserve positivity and monotonicity of real data sets. Four shape parameters are proposed to preserve the characteristics of th...
| मुख्य लेखक: | Ahmad, Afida |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
2018
|
| विषय: | |
| ऑनलाइन पहुंच: | http://eprints.usm.my/48694/ |
| Abstract | Abstract here |
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समान संसाधन
-
Function Approximation Using Wavelet And Radial
Basis Function Networks
द्वारा: Ramli, Rabihah
प्रकाशित: (2004) -
Logic Programming In Radial Basis
Function Neural Networks
द्वारा: Hamadneh, Nawaf
प्रकाशित: (2013) -
Bezier-Like Functions For Constructing Craniofacial Fractures
द्वारा: Abdul Majeed, Abdul Majeed
प्रकाशित: (2016) -
Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function
द्वारा: Mohamed, Najihah
प्रकाशित: (2019) -
Visualization Of Curve And Surface Data Using Rational Cubic Ball Functions
द्वारा: Jaafar, Wan Nurhadani Wan
प्रकाशित: (2018)
