A graph based method for generating the fiedler vector of irregular problems

  • Michael Holzrichter
  • Suely Oliveira
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1586)

Abstract

In this paper we present new algorithms for spectral graph partitioning. Previously, the best partitioning methods were based on a combination of Combinatorial algorithms and application of the Lanczos method when the graph allows this method to be cheap enough. Our new algorithms are purely spectral. They calculate the Fiedler vector of the original graph and use the information about the problem in the form of a preconditioner for the graph Laplacian. In addition, we use a favorable subspace for starting the Davidson algorithm and reordering of variables for locality of memory references.

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Copyright information

© Springer-Verlag 1999

Authors and Affiliations

  • Michael Holzrichter
    • 1
  • Suely Oliveira
    • 2
  1. 1.Texas A&M UniversityCollege Station
  2. 2.The University of IowaIowa CityUSA

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