scholarly journals Shape-Preserving Rational Interpolation Scheme for Regular Surface Data

2015 ◽  
Vol 2 (4) ◽  
pp. 713-747
Author(s):  
Maria Hussain ◽  
Malik Zawwar Hussain ◽  
Muhammad Sarfraz
Keyword(s):  
Rational Interpolation ◽  
Interpolation Scheme ◽  
Shape Preserving ◽  
Regular Surface ◽  
Surface Data

scholarly journals Positivity and Monotonicity Preserving Biquartic Rational Interpolation Spline Surface

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Xinru Liu ◽  
Yuanpeng Zhu ◽  
Shengjun Liu
Keyword(s):  
Sufficient Conditions ◽  
Rational Interpolation ◽  
Rectangular Domain ◽  
Interpolation Spline ◽  
Spline Surface ◽  
Surface Data ◽  
Shape Preserving Interpolation ◽  
The Given ◽  
Surface Construction ◽  
Special Case

A biquartic rational interpolation spline surface over rectangular domain is constructed in this paper, which includes the classical bicubic Coons surface as a special case. Sufficient conditions for generating shape preserving interpolation splines for positive or monotonic surface data are deduced. The given numeric experiments show our method can deal with surface construction from positive or monotonic data effectively.

scholarly journals Shape Preserving Data Interpolation Using Rational Cubic Ball Functions

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Ayser Nasir Hassan Tahat ◽  
Abd Rahni Mt Piah ◽  
Zainor Ridzuan Yahya
Keyword(s):  
Numerical Experiments ◽  
Smooth Curve ◽  
The Other ◽  
Data Interpolation ◽  
Shape Parameters ◽  
Interpolation Scheme ◽  
Shape Preserving ◽  
Curve Interpolation ◽  
Two Parameters

A smooth curve interpolation scheme for positive, monotone, and convex data is developed. This scheme uses rational cubic Ball representation with four shape parameters in its description. Conditions of two shape parameters are derived in such a way that they preserve the shape of the data, whereas the other two parameters remain free to enable the user to modify the shape of the curve. The degree of smoothness isC1. The outputs from a number of numerical experiments are presented.

scholarly journals A Family of Modified Even Order Bernoulli-Type Multiquadric Quasi-Interpolants with Any Degree Polynomial Reproduction Property

2014 ◽  
Vol 2014 ◽  
pp. 1-14
Author(s):  
Ruifeng Wu ◽  
Huilai Li ◽  
Tieru Wu
Keyword(s):  
Initial Value Problems ◽  
Bernoulli Polynomials ◽  
Interpolation Scheme ◽  
Degree Polynomial ◽  
Initial Value ◽  
Linear Combinations ◽  
Shape Preserving ◽  
Runge Kutta Method ◽  
Even Order ◽  
Derivatives Of

By using the polynomial expansion in the even order Bernoulli polynomials and using the linear combinations of the shifts of the functionf(x)(x∈ℝ)to approximate the derivatives off(x), we propose a family of modified even order Bernoulli-type multiquadric quasi-interpolants which do not require the derivatives of the function approximated at each node and can satisfy any degree polynomial reproduction property. Error estimate indicates that our operators could provide the desired precision by choosing a suitable shape-preserving parametercand a nonnegative integerm. Numerical comparisons show that this technique provides a higher degree of accuracy. Finally, applying our operators to the fitting of discrete solutions of initial value problems, we find that our method has smaller errors than the Runge-Kutta method of order 4 and Wang et al.’s quasi-interpolation scheme.

scholarly journals A Rational Interpolation Scheme with Superpolynomial Rate of Convergence

2010 ◽  
Vol 47 (6) ◽  
pp. 4073-4097 ◽  
Author(s):  
Qiqi Wang ◽  
Parviz Moin ◽  
Gianluca Iaccarino
Keyword(s):  
Rate Of Convergence ◽  
Rational Interpolation ◽  
Interpolation Scheme

scholarly journals A New Approach to General Interpolation Formulae for Bivariate Interpolation

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Le Zou ◽  
Shuo Tang
Keyword(s):  
Continued Fraction ◽  
Rational Interpolation ◽  
Interpolation Theorem ◽  
Interpolation Scheme ◽  
Bivariate Interpolation ◽  
New Approach ◽  
Multiple Parameters ◽  
Special Cases ◽  
Block Based ◽  
Branched Continued Fraction

General interpolation formulae for bivariate interpolation are established by introducing multiple parameters, which are extensions and improvements of those studied by Tan and Fang. The general interpolation formulae include general interpolation formulae of symmetric branched continued fraction, general interpolation formulae of univariate and bivariate interpolation, univariate block based blending rational interpolation, bivariate block based blending rational interpolation and their dual schemes, and some interpolation form studied by many scholars in recent years. We discuss the interpolation theorem, algorithms, dual interpolation, and special cases and give many kinds of interpolation scheme. Numerical examples are given to show the effectiveness of the method.

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