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Matrix theory
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361	Spectral Graph Theory Lecture 3 Laplacian and the Adjacency Matrices Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2012-08-24 09:50:05 Matrix theory PerronFrobenius theorem Eigenvalues and eigenvectors Matrix Symmetric matrix Diagonal matrix Square matrix Hermitian matrix Skew-symmetric matrix
362	Computer Physics Communications–273 www.elsevier.com/locate/cpc Calculation of the permanent of a sparse positive matrix Harald Forbert ∗ , Dominik Marx Lehrstuhl für Theoretische Chemie, Ruhr-Univers Add to Reading List Source URL: ftp.theochem.ruhr-uni-bochum.de Language: English - Date: 2003-01-15 10:52:40 Matrix theory Linear algebra Sparse matrices Matrices Numerical linear algebra Matrix Permanent Determinant Diagonal matrix Sparse matrix Square matrix Triangular matrix
363	Improving the Performance of Tensor Matrix Vector Multiplication in Quantum Chemistry Codes W. D. Gropp, D. K. Kaushik, M. Minkoff, and B. F. Smith Argonne National Laboratory {gropp,kaushik,minkoff,bsmith}@mcs.anl.gov Add to Reading List Source URL: wgropp.cs.illinois.edu Language: English - Date: 2016-08-16 11:52:12 Linear algebra Matrix theory Binary operations Matrices Multiplication Matrix Tensor Euclidean vector Product Eigenvalues and eigenvectors Array programming Cross product
364	Universality in Numerical Computations with Random Data. Case Studies. Percy Deift∗, Govind Menon†, Sheehan Olver‡and Thomas Trogdon∗ July 16, 2014 Abstract Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Numerical linear algebra Mathematical physics Matrix theory Linear algebra QR algorithm Eigenvalues and eigenvectors Matrix Determinant Generalized minimal residual method Random matrix Rotation matrix Eigenvalue algorithm
365	Spectral Graph Theory Lecture 19 Preconditioning Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2015-08-17 14:43:26 Matrix theory Matrices Linear algebra Numerical linear algebra Mathematical physics Preconditioner Eigenvalues and eigenvectors Conjugate gradient method Diagonalizable matrix Matrix Trace Laplacian matrix
366	Recovering Social Network by Observing Votes Ben Fish, Yi Huang, Lev Reyzin Summary Common Neighbor Model Add to Reading List Source URL: www.levreyzin.com Language: English - Date: 2016-06-28 15:54:24 Graph theory Algebraic graph theory Bipartite graph Parity Adjacency matrix Vertex Clique Graph Matching Neighbourhood Line graph
367	More information on R functions arraymax: find the maximum value in an array and the associated dim names. Any NAs in the array are ignored. This function calls the function dnelement which the user must create (source Add to Reading List Source URL: fluke.vims.edu Language: English - Date: 2010-07-29 15:13:40 Vectors Summary statistics Covariance and correlation Estimation theory Regression analysis Variance Sample mean and covariance Ellipse Expected value Euclidean vector Vector space Matrix
368	Spectral Graph Theory and its Applications September 9, 2004 Lecture 3 Lecturer: Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2005-06-30 12:02:44 Matrix theory Matrices Algebraic graph theory Linear algebra Eigenvalues and eigenvectors Singular value decomposition Spectral graph theory Symmetric matrix Expander graph Laplacian matrix
369	Exercises 2: Linear algebra and some OLS application Florian Oswald October 3, Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Matrices Linear algebra Matrix theory Mathematical physics Eigenvalues and eigenvectors Singular value decomposition Quadratic form Square matrix Symmetric matrix Diagonalizable matrix Matrix Orthogonal matrix
370	Vectors, Matrices, and Least Squares (Working Title) S. Boyd and L. Vandenberghe ROUGH DRAFT December 9, 2015 Add to Reading List Source URL: stanford.edu Language: English - Date: 2016-08-18 11:36:05 Linear algebra Abstract algebra Vectors Numerical linear algebra Matrix theory Euclidean vector Matrix Vector space Linear independence Scalar Norm Multivector

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