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Sub-exponential graph coloring algorithm for stencil-based Jacobian computations

机译:基于模板的Jacobian计算的次指数图着色算法

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摘要

Partial differential equations can be discretized using a regular Cartesian grid and a stencil-based method to approximate the partial derivatives. The computational effort for determining the associated Jacobian matrix can be reduced. This reduction can be modeled as a (grid) coloring problem. Currently, this problem is solved by using a heuristic approach for general graphs or by developing a formula for every single stencil. We introduce a sub-exponential algorithm using the Lipton-Tarjan separator in a divide-and-conquer approach to compute an optimal coloring. The practical relevance of the algorithm is evaluated when compared with an exponential algorithm and a greedy heuristic.
机译:偏微分方程可以使用规则的笛卡尔网格和基于模具的方法离散化,以近似偏导数。可以减少用于确定相关的雅可比矩阵的计算量。可以将这种减少建模为(网格)着色问题。当前,可以通过对一般图形使用启发式方法或为每个单独的模具开发公式来解决此问题。我们在分治法中引入了使用Lipton-Tarjan分隔符的次指数算法,以计算最佳着色。当与指数算法和贪婪启发式算法比较时,评估算法的实际相关性。

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