• DocumentCode
    2581650
  • Title

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

  • Author

    Zeng, Yan ; Wu, Xuesong ; Cao, Jianwen

  • Author_Institution
    Lab. of Parallel Software & Comput. Sci. of Software, Inst. of Software, Beijing, China
  • fYear
    2012
  • fDate
    19-22 Oct. 2012
  • Firstpage
    446
  • Lastpage
    450
  • Abstract
    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.
  • Keywords
    differential algebraic equations; graph theory; DAE; Hungarian algorithm; Modelica; combinatorial relaxation; dense bipartite graph; differential algebraic equation system; structure index reduction; Algorithm design and analysis; Bipartite graph; Impedance matching; Indexes; Mathematical model; Object oriented modeling; Augmenting Path; Bipartite Graph; DAE; Hungarian Algorithm; Modelica;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4673-2630-8
  • Type

    conf

  • DOI
    10.1109/DCABES.2012.110
  • Filename
    6385328