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Shape preserving<i>C</i><sup>2</sup>rational quartic interpolation spline with two parameters
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Citations
17
References
2014
Year
Geometric ModelingNumerical AnalysisGeometric InterpolationEngineeringInterpolation SpaceNatural SciencesMechanical EngineeringInterpolation SplineShape-preserving Interpolation SplineCurve FittingComputer-aided DesignCurve ModelingComputational MechanicsC2 ContinuityComputational GeometryApproximation TheorySpline (Mathematics)
Constructing shape-preserving interpolation spline has been a hot topic in industrial design and scientific data visualization during the past 30 years. In the existing shape preserving C2 interpolation spline methods, however, some methods can be only used to preserve the monotonic data set, while others can be only used to preserve the convex data set, and often for C2 continuity, it is requested to solve a linear system of consistency equations for the derivative values at the knots. In this paper, a new explicit representation of a C2 rational quartic interpolation spline with two local tension parameters is developed. A convergence analysis establishes an error bound and shows that the order of approximation is O(h2) accuracy. Sufficient conditions for the proposed interpolation spline to preserve the shape of positive, monotonic, and convex set of data are derived.
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