具有C2连续性的几何分段三次bsamizier插值多项式

IF 1.9 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Intelligenza Artificiale Pub Date : 2021-02-01 DOI:10.15622/IA.2021.20.1.5
Mustafa Fadhel, Z. Omar
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引用次数: 4

摘要

贝塞尔曲线是一种参数多项式,用于生成良好的分段插值方法,与其他分段多项式相比具有更大的优势。因此,构建平滑的贝塞尔曲线并能够提高解的精度是至关重要的。大多数已知的确定分段贝塞尔曲线内部控制点的策略仅实现部分平滑,满足一阶连续性。某些解决方案允许您沿着近似曲线构造宽度平滑的插值多项式。然而,他们仍然无法处理内部控制点的位置。内部控制点的部分平滑度和非控制位置可能会影响数据集近似曲线的准确性。为了提高先前策略的光滑性和准确性,本研究提出了一种新的具有二阶连续性C2的分段三次贝塞尔多项式来估计缺失值。所提出的方法采用几何构造来找到给定数据集的每个相邻子区间的内部控制点。该方法不仅保持了稳定性和光滑性,数值结果的误差分析也表明,所得插值多项式比现有方法产生的插值多项式更准确。
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Geometric Piecewise Cubic Bézier Interpolating Polynomial with C2 Continuity
Bézier curve is a parametric polynomial that is applied to produce good piecewise interpolation methods with more advantage over the other piecewise polynomials. It is, therefore, crucial to construct Bézier curves that are smooth and able to increase the accuracy of the solutions. Most of the known strategies for determining internal control points for piecewise Bezier curves achieve only partial smoothness, satisfying the first order of continuity. Some solutions allow you to construct interpolation polynomials with smoothness in width along the approximating curve. However, they are still unable to handle the locations of the inner control points. The partial smoothness and non-controlling locations of inner control points may affect the accuracy of the approximate curve of the dataset. In order to improve the smoothness and accuracy of the previous strategies, а new piecewise cubic Bézier polynomial with second-order of continuity C2 is proposed in this study to estimate missing values. The proposed method employs geometric construction to find the inner control points for each adjacent subinterval of the given dataset. Not only the proposed method preserves stability and smoothness, the error analysis of numerical results also indicates that the resultant interpolating polynomial is more accurate than the ones produced by the existing methods.
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来源期刊
Intelligenza Artificiale
Intelligenza Artificiale COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
3.50
自引率
6.70%
发文量
13
期刊最新文献
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