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The Research and Analysis of Hungarian Algorithm in the Structure Index Reduction for DAE

机译:匈牙利算法在降低DAE结构指标中的研究与分析

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Modeling of complex physical systems with Modelica usually leads to the high-index differential algebraic equation system (DAE), index reduction is an important part of solving the high-index DAE. The structure index reduction algorithm is one of the popular methods, but in special cases, it fails. Combinatorial relaxation algorithm can detect and correct the breakdown situation. And the maximum weight matching of bipartite graph is an important part of the combinatorial relaxation algorithm. In order to choose the proper method for the large-scale, dense bipartite graph, this paper provides three implementations of the Hungarian algorithm. The experiment results and the theory show that the BFS single-augmented method is better than others.
机译:使用Modelica对复杂物理系统进行建模通常会导致高指数微分代数方程组(DAE),而指数折算是解决高指数DAE的重要组成部分。结构索引减少算法是一种流行的方法,但是在特殊情况下,它会失败。组合松弛算法可以检测并纠正故障情况。二部图的最大权重匹配是组合松弛算法的重要组成部分。为了选择适合大规模,密集二分图的方法,本文提供了匈牙利算法的三种实现。实验结果和理论表明,BFS单增强方法优于其他方法。

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