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Power iteration
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11	SIAM J. SCI. COMPUT. Vol. 27, No. 6, pp. 2112–2120 c 2006 Society for Industrial and Applied Mathematics Add to Reading List Source URL: meyer.math.ncsu.edu Language: English - Date: 2006-03-28 15:00:53 Mathematics Reputation management Crowdsourcing PageRank Search engine optimization Google matrix Power iteration Eigenvalues and eigenvectors Matrix Markov models Algebra Link analysis
12	Electronic Transactions on Numerical Analysis Volume 7, 1998 Contents 1 Error estimation of the Pad´e approximation of transfer functions via the Lanczos Add to Reading List Source URL: www.emis.de Language: English - Date: 1999-12-31 11:35:00 Linear algebra Arnoldi iteration Preconditioner Henk van der Vorst Power iteration Inverse iteration Eigenvalue algorithm Lanczos algorithm Rayleigh quotient iteration Algebra Numerical linear algebra Mathematics
13	Power Iteration Clustering Frank Lin William W. Cohen Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA[removed]USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-06 11:10:52 Numerical linear algebra Multivariate statistics Linear algebra Matrix theory Singular value decomposition Spectral clustering Eigenvalues and eigenvectors Information bottleneck method Eigendecomposition of a matrix Algebra Mathematics Statistics
14	Exploiting the Block Structure of the Web for Computing PageRank Sepandar D. Kamvar Taher H. Haveliwala Add to Reading List Source URL: www.webrankinfo.com Language: English - Date: 2009-05-04 03:51:32 Mathematics Markov models World Wide Web PageRank Reputation management Webgraph Power iteration Eigenvalues and eigenvectors Backlink Algebra Link analysis Search engine optimization
15	Adaptive Methods for the Computation of PageRank Sepandar Kamvar, Taher Haveliwala, and Gene Golub Stanford University Abstract. We observe that the convergence patterns of pages in the PageRank algorithm have a nonunifo Add to Reading List Source URL: ilpubs.stanford.edu Language: English - Date: 2008-09-17 01:51:01 Mathematics Markov models Internet search engines PageRank Search engine optimization Power iteration Eigenvalues and eigenvectors Inverse iteration Webgraph Algebra Numerical linear algebra Link analysis
16	THE $25,000,000,000∗ EIGENVECTOR THE LINEAR ALGEBRA BEHIND GOOGLE KURT BRYAN† AND TANYA LEISE‡ Abstract. Google’s success derives in large part from its PageRank algorithm, which ranks the importance of webpages Add to Reading List Source URL: www.rose-hulman.edu Language: English - Date: 2006-05-08 13:33:05 Matrix theory Markov models Matrices Singular value decomposition Eigenvalues and eigenvectors PageRank Perron–Frobenius theorem Eigendecomposition of a matrix Power iteration Algebra Linear algebra Mathematics
17	Principal Component Analysis (PCA) R E D U C E T H E N U M B E R O F D I M E N S I O N S O F T H E D ATA When faced with a moderate or large number of columns but a significant amount of correlation between variables, PC Add to Reading List Source URL: www.1010data.com Language: English - Date: 2013-12-15 15:36:59 Data analysis Multivariate statistics Singular value decomposition Matrix theory Principal component analysis Eigenvalues and eigenvectors Covariance matrix Variance Power iteration Algebra Statistics Linear algebra
18	i i “imvol2” — [removed] — 12:33 — page 73 — #1 i Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2012-11-06 00:04:27 Markov models Link analysis Matrix theory PageRank Reputation management Search engine optimization HITS algorithm Power iteration Eigenvalues and eigenvectors Algebra Mathematics Linear algebra
19	Fast Krylov Methods for N-Body Learning Nando de Freitas Department of Computer Science University of British Columbia [removed] Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2005-11-10 20:37:22 Mathematics Generalized minimal residual method Krylov subspace Iterative method Lanczos algorithm Power iteration Conjugate gradient method Orthogonal matrix QR decomposition Algebra Numerical linear algebra Linear algebra
20	PAGERANK BEYOND THE WEB DAVID F. GLEICH Abstract. Google’s PageRank method was developed to evaluate the importance of web-pages via their link structure. The mathematics of PageRank, however, are entirely general and Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-07-21 20:34:51 Markov models Link analysis Algebraic graph theory Network theory PageRank Search engine optimization Centrality Eigenvalues and eigenvectors Power iteration Mathematics Algebra Graph theory

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