2013Unpublished venueRequires access

Based on Parameter Equation Function Rational Spline Interpolation with the Shape Preserved

Peng Feng-Bin, Shanshan Li, Wei Yan-Jie, Qiang Wang

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Abstract

A rational cubic spline function (3/2) involving two shape parameters is presented, and is applied to the interpolation problem with the data that its type is parameter equation function. Based on it, we deduce a sufficient condition for sign preserving and monotonicity preserving. Thus by adjusting the shape parameters, it can interactively modify the shape of the interpolation curve and meet the relevant requirement for shape preserving. Furthermore, the error estimation of the spline interpolant is also given. And the relevant numerical experiments confirm the previous conclusion.

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What this paper is about

A rational cubic spline function (3/2) involving two shape parameters is presented, and is applied to the interpolation problem with the data that its type is parameter equation function. Based on it, we deduce a sufficient condition for sign preserving and monotonicity preserving. Thus by adjusting the shape parameters, it can interactively modify the shape of the interpolation curve and meet the relevant requirement for shape preserving. Furthermore, the error estimation of the spline interpolant is also given. And the relevant numerical experiments confirm the previous conclusion.

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Available abstract

A rational cubic spline function (3/2) involving two shape parameters is presented, and is applied to the interpolation problem with the data that its type is parameter equation function. Based on it, we deduce a sufficient condition for sign preserving and monotonicity preserving. Thus by adjusting the shape parameters, it can interactively modify the shape of the interpolation curve and meet the relevant requirement for shape preserving. Furthermore, the error estimation of the spline interpolant is also given. And the relevant numerical experiments confirm the previous conclusion.

Key concepts: Spline (mechanical), Interpolation (computer graphics), Monotonic function, Spline interpolation, Smoothing spline, Monotone cubic interpolation, Mathematics, Applied mathematics

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