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A Continuation Method for Visualizing Planar Real Algebraic Curves with Singularities

机译:具有奇异性的平面实数代数曲线可视化的连续方法

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We present a new method for visualizing planar real algebraic curves inside a bounding box based on numerical continuation and critical point methods. Since the topology of the curve near a singular point is not numerically stable, we trace the curve only outside neighborhoods of singular points and replace each neighborhood simply by a point, which produces a polygonal approximation that is є-close to the curve. Such an approximation is more stable for defining the numerical connectedness of the complement of the curve, which is important for applications such as solving bi-parametric polynomial systems. The algorithm starts by computing three types of key points of the curve, namely the intersection of the curve with small circles centered at singular points, regular critical points of every connected component of the curve, as well as intersection points of the curve with the given bounding box. It then traces the curve starting with and in the order of the above three types of points. This basic scheme is further enhanced by several optimizations, such as grouping singular points in natural clusters and tracing the curve by a try-and-resume strategy. The effectiveness of the algorithm is illustrated by numerous examples.
机译:我们提出了一种基于数值连续和临界点方法可视化包围盒内平面实数代数曲线的新方法。由于靠近奇异点的曲线的拓扑在数值上不稳定,因此我们仅在奇异点的邻域外跟踪曲线,并简单地用一个点替换每个邻域,这会产生接近于є的多边形近似值。这样的近似值对于定义曲线的补码的数字连接性更为稳定,这对于诸如求解双参数多项式系统之类的应用很重要。该算法从计算曲线的三种关键点开始,即曲线与以奇点为中心的小圆的交点,曲线的每个连接分量的规则临界点以及曲线与给定值的交点边界框。然后,它按照上述三种类型的点并按其顺序来跟踪曲线。通过一些优化来进一步增强此基本方案,例如将自然簇中的奇异点分组并通过尝试并恢复策略来跟踪曲线。大量示例说明了该算法的有效性。

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