Asian Journal of Information Technology

Year: 2009
Volume: 8
Issue: 4
Page No. 104 - 111

Implementing Quotient Rayleigh in Power Method to Improve the Computation Speed of Pagerank

Authors : Daniel Siahaan and Zainal Arifin

References

Austin, D., 2006. How Google Finds Your Needle in the Web`s Haystack. Monthly Essays on Mathematical Topics. American Mathematical Society, UK.

Brin, S. and L. Page, 1998. The anatomy of large-scale hypertextual web search engine. Comput. Networks ISDN Syst., 30: 107-117.
Direct Link  |  

Chowdury, I. and S.P. Dasgupta, 2003. Computatios of rayleigh damping coefficients for large systems. Elect. J. Geotech. Eng., 8: 1-11.
Direct Link  |  

Garfield, E., 1979. Citation Indexing: Its Theory and Application in Science, John Wiley and Sons Inc., USA., ISBN: 0471025593.

Gumerov, N., 2003. Rayleigh�s quotient. http://www.umiacs.umd.edu/~shaohua/enee739q_cmsc858c/RayleighsQuotient.pdf.

Langville, M., 2005. A survey of eigenvector methods for web information retrieval. SIAM Rev., 47: 135-161.

Vise, D. and M. Malseed, 2005. The Google Story. Bantam Dell, New York, ISBN: 0-553-80457-X, pp: 32-44.

Wilkinson, J.H., 1965. Algebraic Eigenvalue Problem. Clarendon Press, Oxford University, Great Britain, ISBN-10: 19-853418-3, pp: 172-178.

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