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Notation for the Page Rank Problem H G n пT Very sparse, raw sub stochastic hyperlink matrix Completely dense, stochastic, primitive matrix called the Google matrix Number of pages in the engine’s index= order of H, S, G, E Stationary row vector of G called the Page Rank vector S Sparse, stochastic, most likely reducible matrix E Completely dense, rank-one teleportation matrix α Scaling parameter between 0 and 1 aT Binary dangling node vectorPDF Image | Study of Page Rank Algorithms
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