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Part of the book series: Nonconvex Optimization and Its Applications ((NOIA,volume 42))

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Abstract

In a seminal paper (An efficient heuristic procedure for partitioning graphs, Bell System Technical Journal, 49 (1970), pp. 291–307), Kernighan and Lin propose a pair exchange algorithm for approximating the solution to min-cut graph partitioning problems. In their algorithm, a vertex from one set in the current partition is exchanged with a vertex in the other set to reduce the sum of the weights of cut edges. The exchanges continue until the total weight of the cut edges is no longer reduced. In this paper, we consider a block exchange algorithm in which a group of vertices from one set is exchanged with a group of vertices from the other set in order to minimize the sum of the weights of cut edges. An optimal choice for the exchanged vertices is the solution to a quadratic programming problem.

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References

  1. B. W. Kernighan and S. Lin (1970), “An efficient heuristic procedure for partitioning graphs,” Bell System Technical Journal, vol. 49, pp. 291–307.

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  2. W. W. Hager and Y. Krylyuk (to appear), “Graph partitioning and continuous quadratic programming,” SIAM J. Discrete Math.

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  3. B. Hendrickson and E. Rothberg (1997), “Improving the runtime and quality of nested dissection ordering,” Technical report, Sandia National Laboratories, Albuquerque, NM.

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  4. G. Karypis and V. Kumar (1995), “METIS: Unstructured graph partitioning and sparse matrix ordering system,” Technical report, Dept. of Computer Science, Univ. of Minnesota.

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© 2000 Springer Science+Business Media Dordrecht

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Hager, W.W., Park, S.C., Davis, T.A. (2000). Block Exchange in Graph Partitioning. In: Pardalos, P.M. (eds) Approximation and Complexity in Numerical Optimization. Nonconvex Optimization and Its Applications, vol 42. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3145-3_17

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  • DOI: https://doi.org/10.1007/978-1-4757-3145-3_17

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-4829-8

  • Online ISBN: 978-1-4757-3145-3

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