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Eigenvalues and eigenvectors
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241	1 ofTABLE LOOK-UP METHOD (Y.Knyazikhin, Y.Tian, Y.Zhang, Y.Wang and R.MyneniMathematical formulation of the inverse problem Land surface processes are important components of the terrestrial climate system. Add to Reading List Source URL: cybele.bu.edu Language: English - Date: 1998-12-02 17:20:18 Remote sensing Dimensionless numbers Earth observation satellites Agronomy Radiometry Normalized Difference Vegetation Index Leaf area index Reflectance Eigenvalues and eigenvectors SeaWiFS Wavelength Moderate-resolution imaging spectroradiometer
242	On the condition number of the critically-scaled Laguerre Unitary Ensemble Percy Deift∗ , Govind Menon† and Thomas Trogdon∗,0 ∗ Courant Institute of Mathematical Sciences Add to Reading List Source URL: www.dam.brown.edu Language: English - Date: 2015-07-13 14:51:17 Probability distributions Matrix theory Orthogonal polynomials Linear algebra Bessel function Fourier analysis Laguerre polynomials Positive-definite matrix Eigenvalues and eigenvectors Normal distribution Constructible universe Relationships among probability distributions
243	A Spectral Clustering Approach to Optimally Combining Numerical Vectors with a Modular Network Motoki Shiga Bioinformatics Center Kyoto University Add to Reading List Source URL: www.bic.kyoto-u.ac.jp Language: English - Date: 2007-06-04 02:24:58 Algebra Mathematics Algebraic graph theory Spectral clustering Cluster analysis K-means clustering Eigenvalues and eigenvectors Graph partition Community structure Document clustering Hierarchical clustering Consensus clustering
244	How long does it take to compute the eigenvalues of a random symmetric matrix?∗ Christian W. Pfrang †, Percy Deift ‡, Add to Reading List Source URL: www.dam.brown.edu Language: English - Date: 2013-04-10 17:34:59 Numerical linear algebra Matrices Matrix theory Mathematical physics Linear algebra QR algorithm Eigenvalues and eigenvectors Matrix Eigendecomposition of a matrix Orthogonal matrix QR decomposition Eigenvalue algorithm
245	Lecture Notes on Expansion, Sparsest Cut, and Spectral Graph Theory Luca Trevisan University of California, Berkeley Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2015-05-26 11:28:40 Graph theory Mathematics Algebra Algebraic graph theory Expander graph Adjacency matrix Eigenvalues and eigenvectors Regular graph Spectral graph theory Line graph Cayley graph Graph
246	CS168: The Modern Algorithmic Toolbox Lecture #9: The Singular Value Decomposition (SVD) and Low-Rank Matrix Approximations Tim Roughgarden & Gregory Valiant April 27, 2015 Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2015-05-11 19:23:32 Algebra Linear algebra Mathematics Matrix theory Singular value decomposition Numerical linear algebra Dimension reduction Principal component analysis Eigenvalues and eigenvectors Matrix Orthogonal matrix Rank
247	Schur Transformation, General Case P Schur basis is NOT UNIQUE. But, sum of squares of FF weights = Tr WW† − i \|λi \|2 is a unitary invariant. One natural scalar measure is this, or this over Tr WW† , or squareroot Add to Reading List Source URL: www.neurotheory.columbia.edu Language: English - Date: 2014-04-29 11:17:32 Algebra Mathematics Spectral theory Matrix theory Linear algebra Eigenvalues and eigenvectors Singular value decomposition Spectrum
248	Graph Summarization with Quality Guarantees Matteo Riondato Stanford University David Garc´ıa-Soriano Add to Reading List Source URL: www.francescobonchi.com Language: English - Date: 2014-11-18 04:11:43 Matrices Algebraic graph theory Linear algebra Matrix theory Adjacency matrix Directed graph Eigenvalues and eigenvectors FKT algorithm Distance matrix
249	PDF Document Add to Reading List Source URL: www.neurotheory.columbia.edu Language: English - Date: 2014-04-29 11:17:22 Linear algebra Matrix theory Spectral theory Lie algebras Representation theory of Lie groups Jordan normal form Eigenvalues and eigenvectors Weight Spectrum Spectral theory of ordinary differential equations
250	PDF Document Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2015-05-11 19:23:32 Algebra Linear algebra Mathematics Dimension reduction Matrix theory Numerical linear algebra Matrices Eigenvalues and eigenvectors Principal component analysis Matrix Orthogonal matrix Power iteration

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