CLC number: TP391
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Received: 2006-12-01
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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.
@article{title="Convexity-preserving interpolation of trigonometric polynomial curves with a shape parameter",
author="PAN Yong-juan, WANG Guo-jin",
journal="Journal of Zhejiang University Science A",
volume="8",
number="8",
pages="1199-1209",
year="2007",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2007.A1199"
}
%0 Journal Article
%T Convexity-preserving interpolation of trigonometric polynomial curves with a shape parameter
%A PAN Yong-juan
%A WANG Guo-jin
%J Journal of Zhejiang University SCIENCE A
%V 8
%N 8
%P 1199-1209
%@ 1673-565X
%D 2007
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A1199
TY - JOUR
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
IS - 8
SP - 1199
EP - 1209
%@ 1673-565X
Y1 - 2007
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2007.A1199
Abstract: 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.
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