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• 图形学与可视化 • 上一篇    下一篇

G1 保形多项式插值曲线

  

  1. 1. 东华理工大学理学院,江西 南昌 330013;
    2. 中南大学数学与统计学院,湖南 长沙 410083
  • 出版日期:2017-04-30 发布日期:2017-04-28
  • 基金资助:
    国家自然科学基金项目(11261003,11271376,60970097);江西省自然科学基金项目(20161BAB211028);江西省教育厅项目(GJJ160558)

G1 Shape-Preserving Polynomial Interpolation Curves

  1. 1. School of Science, East China University of Technology, Nanchang Jiangxi 330013, China;
    2. School of Mathematics and Statistics, Central South University, Changsha Hunan 410083, China
  • Online:2017-04-30 Published:2017-04-28

摘要: 针对构造一种具有保形性的多项式插值曲线。首先证明了文献中一组含参数的3 次
多项式函数为一组全正基,然后借助该全正基定义了一种含两个局部形状参数的分段插值多项式
曲线。该曲线在分段连接点处G1 连续。分别给出了插值曲线保正、保单调、保凸的充分条件。
这些条件制约了两个局部形状参数之间的关系。通过转化,不管插值曲线保持数据点的哪种形状
特征,每一段都依然存在两个独立的形状参数。当数据点既是正的又单调时,只需考虑保单调条
件,就可得到既保单调又保正的插值曲线;当数据点既单调又为凸时,只需考虑保凸条件,就可
得到既保凸又保单调的插值曲线;当数据点既是正的又单调且为凸时,只需考虑保凸条件,就可
得到同时保正、保单调、保凸的插值曲线。证明了插值曲线的有界性并给出了误差估计。

关键词: 插值曲线, 形状参数, 保正, 保单调, 保凸

Abstract: This article aims to construct a shape-preserving polynomial interpolation curve. Firstly, a
set of cubic polynomial functions with parameters in literature is proved to be a totally positive basis.
With this basis, we then define a piecewise interpolation polynomial curve with two local shape
parameters. The curve has G1 continuity at the join points. The sufficient conditions for the
interpolation curve to be positivity-preserving, monotonicity-preserving and convexity-preserving are
given. These conditions restrict the relationship between the two local shape parameters. By
transformation, no matter what kind of shape characteristic the interpolation curve of the data points
keeps, each segment still has two independent shape parameters. When the data points are both
positive and monotonous, just considering the monotonicity-preserving conditions, we can obtain the
interpolation curve not only monotonicity-preserving but also positivity-preserving. When the data
points are both monotonous and convex, just considering the convexity-preserving conditions, we can
obtain the interpolation curve not only convexity-preserving but also monotonicity-preserving. When
the data points are positive, monotonous and convex, just considering the convexity-preserving
conditions, we can get the interpolation curve with positivity-preserving, monotonicity-preserving,
and convexity-preserving simultaneously. The interpolation curve is proved to be bounded and its error is estimated.

Key words: interpolation curve, shape parameter, positivity-preserving, monotonicity-preserving;
convexity-preserving