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Multipole-Based Force Approximation Revisited – A Simple but Fast Implementation Using a Dynamized Enclosing-Circle-Enhanced k-d-Tree

机译:基于多极的力逼近 - 使用动力封闭圈增强型K-D树进行简单但快速实现

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Most force-directed graph drawing algorithms depend for speed crucially on efficient methods for approximating repulsive forces between a large number of particles. A combination of various tree data structures and multi-pole approximations has been successfully used by a number of authors. If a multi-level approach is taken, in the late (and due to the large number of particles computationally intensive) steps, movements of particles are quite limited. We utilize this fact by basing force-calculations on an easy updatable tree data structure. Using explicit distance checks instead of relying on implicit guarantees provided by quadtrees and avoiding local expansions of the multi-pole expansion leads to a very simple implementation that is faster than comparable earlier methods. The latter claim is supported by experimental results.
机译:大多数力定向的图形绘图算法依赖于速度,这对大量颗粒之间的近似排斥力近似的有效方法。各种树数据结构和多极近似的组合已成功地由许多作者使用。如果采取多级方法,在晚期(并且由于大量的粒子计算密集的)步骤,粒子的运动非常有限。我们通过基于易于更新的树数据结构基于力量计算来利用这一事实。使用显式距离检查而不是依赖Quadtrees提供的隐式保证,并避免多极扩展的本地扩展导致了比可比较的方法更快的非常简单的实现。后一种索赔由实验结果支持。

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