• شماره ركورد كنفرانس
    3806
  • عنوان مقاله

    Noda-Arnoldi method for computing Perron root of adjacency matrix associated with a large graph

  • پديدآورندگان

    Abadi Z zeinab.abadi@stu.yazd.ac.ir Department of Mathematics,Yazd University, Yazd, Iran , Shahzadeh Fazeli S. A fazeli@yazd.ac.ir Parallel Processing Laboratory, Department of Mathematics, Yazd University, Yazd, Iran , Karbassi S. M smkarbassi@yazd.ac.ir Department of Mathematics,Yazd University, Yazd, Iran

  • تعداد صفحه
    4
  • كليدواژه
    Connected graphs , Adjacency matrices , Large eigenvalue problems , Arnoldi method , Noda iteration
  • سال انتشار
    1396
  • عنوان كنفرانس
    دهمين كنفرانس ملي نظريه گراف و تركيبات جبري
  • زبان مدرك
    انگليسي
  • چكيده فارسي
    Graphs are used in multiple important applications such that network traffic monitoring, webstructureanalysis, socialnetworkmining, proteininteraction study and scientific computing. In this paper we present a new method for computing Perron root and Perron vector of a large graph with sparse adjacency matrix. This new method is a hybrid method of explicitly restarted Arnoldi method (ERAM) and Noda iteration. The implementation of the method has been tested by a numerical example.
  • كشور
    ايران