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Another Classroom Example of Robustness Problems in Planar Convex Hull Computation

机译:平面凸船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确切实际算法的假设下设计的。通过硬件浮点算法不分青红皂白地换精确的真实算术几乎不可避免地导致鲁棒性问题。 Kettner等人。提供舍入错误的示例让增量凸船计算崩溃,永远循环或默默地计算垃圾的这种直接实现。我们通过为另一种平面凸壳算法提供有问题的示例来补充他们的工作。

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