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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.8 P.1199~1209


Convexity-preserving interpolation of trigonometric polynomial curves with a shape parameter

Author(s):  PAN Yong-juan, WANG Guo-jin

Affiliation(s):  Department of Mathematics, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   panyongjuan@zjut.edu.cn, wanggj@zju.edu.cn

Key Words:  Computer aided geometric design (CAGD), &alpha, -trigonometric polynomial curves, Interpolation, Convexity-preserving, Shape parameter

PAN Yong-juan, WANG Guo-jin. Convexity-preserving interpolation of trigonometric polynomial curves with a shape parameter[J]. Journal of Zhejiang University Science A, 2007, 8(8): 1199~1209.

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journal="Journal of Zhejiang University Science A",
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%A WANG Guo-jin
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T1 - Convexity-preserving interpolation of trigonometric polynomial curves with a shape parameter
A1 - PAN Yong-juan
A1 - WANG Guo-jin
J0 - Journal of Zhejiang University Science A
VL - 8
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SP - 1199
EP - 1209
%@ 1673-565X
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2007.A1199

In computer aided geometric design (CAGD), it is often needed to produce a convexity-preserving interpolating curve according to the given planar data points. However, most existing pertinent methods cannot generate convexity-preserving interpolating transcendental curves; even constructing convexity-preserving interpolating polynomial curves, it is required to solve a system of equations or recur to a complicated iterative process. The method developed in this paper overcomes the above drawbacks. The basic idea is: first to construct a kind of trigonometric polynomial curves with a shape parameter, and interpolating trigonometric polynomial parametric curves with C2 (or G1) continuity can be automatically generated without having to solve any system of equations or do any iterative computation. Then, the convexity of the constructed curves can be guaranteed by the appropriate value of the shape parameter. Performing the method is easy and fast, and the curvature distribution of the resulting interpolating curves is always well-proportioned. Several numerical examples are shown to substantiate that our algorithm is not only correct but also usable.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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