A New Method to Find the Eigenvalues of Convex Matrices with Application in Web Page Rating

نویسنده

  • F. Soleymani
چکیده

Although many factors determine Google's overall ranking of search engine results, Google maintains that the heart of its search engine software is PageRank, the eigenvector corresponds to the maximal eigenvalue in the Google matrix. In this note, we deals with a very special case of this positive matrix; i.e. when it is a positive convex matrix, then we provide a new way which can be used as a direct method, to find the eigenvalues of this type of matrices. Although in practice, the likelihood of this scarce phenomenon is improbable, but it is worth mentioning. Mathematics Subject Classifications: 15A86, 65F15

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تاریخ انتشار 2009