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 <title>The Google PageRank Equation</title>
 <link>http://www.edocr.com/doc/4/google-pagerank-equation</link>
 <description>&lt;p&gt;Google’s success derives in large part from its PageRank algorithm, which ranks the importance of webpages according to an eigenvector of a weighted link matrix. Analysis of the PageRank formula provides a wonderful applied topic for a linear algebra course. Instructors may assign this article as a pro ject to more advanced students, or spend one or two lectures presenting the material with assigned homework from the exercises. This material also complements the discussion of Markov chains in matrix algebra.&lt;/p&gt;
&lt;p&gt;&lt;a href=&quot;http://www.edocr.com/doc/4/google-pagerank-equation&quot;&gt;read more&lt;/a&gt;&lt;/p&gt;</description>
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 <category domain="http://www.edocr.com/tags/algebra">algebra</category>
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 <category domain="http://www.edocr.com/tags/equation">equation</category>
 <category domain="http://www.edocr.com/tags/google">google</category>
 <category domain="http://www.edocr.com/tags/linea">linea</category>
 <category domain="http://www.edocr.com/tags/mathematics">mathematics</category>
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 <category domain="http://www.edocr.com/tags/pagerank">pagerank</category>
 <category domain="http://www.edocr.com/tags/seo">SEO</category>
 <category domain="http://www.edocr.com/tags/stochastic">stochastic</category>
 <pubDate>Tue, 22 Apr 2008 19:58:08 +0100</pubDate>
 <dc:creator>Budda</dc:creator>
 <guid isPermaLink="false">2845 at http://www.edocr.com</guid>
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