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On the Connectivity Measurement of the Fractal Julia Sets Generated from Polynomial Maps: A Novel Escape-Time Algorithm

机译:关于多项式地图生成的分形朱莉娅集的连通性测量:一种新型逃生时间算法

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In this paper, a novel escape-time algorithm is proposed to calculate the connectivity’s degree of Julia sets generated from polynomial maps. The proposed algorithm contains both quantitative analysis and visual display to measure the connectivity of Julia sets. For the quantitative part, a connectivity criterion method is designed by exploring the distribution rule of the connected regions, with an output value Co in the range of [0,1]. The smaller the Co value outputs, the better the connectivity is. For the visual part, we modify the classical escape-time algorithm by highlighting and separating the initial point of each connected area. Finally, the Julia set is drawn into different brightnesses according to different Co values. The darker the color, the better the connectivity of the Julia set. Numerical results are included to assess the efficiency of the algorithm.
机译:本文提出了一种新的逃生时间算法来计算从多项式地图产生的Julia集的连接程度。 该算法包含定量分析和视觉显示,以测量Julia集的连接。 对于定量部分,通过探索连接区域的分布规则,通过探索连接区域的分布规则,在[0,1]的范围内,设计连接标准方法。 CO值输出越小,连接越好。 对于视觉部件,我们通过突出显示和分离每个连接区域的初始点来修改经典的转义时间算法。 最后,根据不同的CO值将Julia Set绘制成不同的亮度。 较暗的颜色,朱莉娅集的连接越好。 包括数值结果以评估算法的效率。

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