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A ridge tracking algorithm and error estimate for efficient computation of Lagrangian coherent structures

机译:一种有效跟踪拉格朗日相干结构的脊跟踪算法和误差估计

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摘要

A ridge tracking algorithm for the computation and extraction of Lagrangian coherent structures (LCS) is developed. This algorithm takes advantage of the spatial coherence of LCS by tracking the ridges which form LCS to avoid unnecessary computations away from the ridges. We also make use of the temporal coherence of LCS by approximating the time dependent motion of the LCS with passive tracer particles. To justify this approximation, we provide an estimate of the difference between the motion of the LCS and that of tracer particles which begin on the LCS. In addition to the speedup in computational time, the ridge tracking algorithm uses less memory and results in smaller output files than the standard LCS algorithm. Finally, we apply our ridge tracking algorithm to two test cases, an analytically defined double gyre as well as the more complicated example of the numerical simulation of a swimming jellyfish. In our test cases, we find up to a 35 times speedup when compared with the standard LCS algorithm.
机译:开发了一种用于拉格朗日相干结构(LCS)的计算和提取的脊跟踪算法。该算法通过跟踪形成LCS的山脊来利用LCS的空间相干性,以避免不必要的计算远离山脊。我们还通过使用无源示踪剂粒子逼近LCS的时间相关运动来利用LCS的时间相干性。为了证明这种近似的合理性,我们提供了对LCS运动与从LCS开始的示踪粒子运动之间差异的估计。除了加快计算时间外,与标准LCS算法相比,岭跟踪算法使用的内存更少,输出文件更小。最后,我们将脊线跟踪算法应用于两个测试案例,一个解析定义的双回旋以及一个更复杂的游泳水母数值模拟示例。在我们的测试案例中,与标准LCS算法相比,我们发现速度提高了35倍。

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