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Another Classroom Example of Robustness Problems in Planar Convex Hull Computation

机译:平面凸壳计算中的鲁棒性问题的另一个课堂示例

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Algorithms in computational geometry are designed under the assumption of exact real arithmetic. Indiscriminately replacing exact real arithmetic by hardware floating-point arithmetic almost inevitably leads to robustness problems. Kettner et al. provide examples where rounding errors let such straightforward implementations of incremental convex hull computation crash, loop forever, or silently compute garbage. We complement their work by providing problematic examples for another planar convex hull algorithm.
机译:计算几何中的算法是在精确实数运算的假设下设计的。用硬件浮点运算无差别地替换精确的实数运算几乎不可避免地导致健壮性问题。凯特纳等。提供了一些示例,其中舍入错误使增量凸包计算的这种直接实现崩溃,永久循环或无声计算垃圾。我们通过为另一个平面凸包算法提供有问题的示例来补充他们的工作。

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