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#	Item
851	DEUTERIUM ARRAY MEMO #056 MASSACHUSETTS INSTITUTE OF TECHNOLOGY HAYSTACK OBSERVATORY WESTFORD, MASSACHUSETTSSeptember 28, 2004 Add to Reading List Source URL: www.haystack.mit.edu Language: English - Date: 2006-04-20 10:01:13 Data analysis Matrices Covariance and correlation Covariance matrix Spectrum Algebra Linear algebra Statistics
852	MATHPractice problems for week 6 These are practice problems for the material discussed in lecture on Wednesday, Oct. 22, 2014. These problems will not be collected. 1. Find the eigenvalues of the matrix Add to Reading List Source URL: hkumath.hku.hk Language: English - Date: 2014-10-21 20:24:41 Matrix theory Matrices Singular value decomposition Hermitian matrix Eigenvalues and eigenvectors Rayleigh quotient Matrix Spectral theorem Positive-definite matrix Algebra Linear algebra Mathematics
853	1 MATLAB °R / R Reference May 25, 2010 David Hiebeler Add to Reading List Source URL: mirrors.softliste.de Language: English - Date: 2010-05-25 14:55:17 Numerical linear algebra Matrix theory Matrices Singular value decomposition Matrix Rank QR decomposition MATLAB Determinant Algebra Linear algebra Mathematics
854	1 MATLAB °R / R Reference May 25, 2010 David Hiebeler Add to Reading List Source URL: cran-mirror.cs.uu.nl Language: English - Date: 2010-05-25 14:55:17 Numerical linear algebra Matrix theory Matrices Singular value decomposition Matrix Rank QR decomposition MATLAB Determinant Algebra Linear algebra Mathematics
855	MATHPractice problems for week 4 These are practice problems for the material discussed in lecture on Wednesday, Sept. 24, 2014. These problems will not be collected. 1. For each matrix A, find an orthogonal o Add to Reading List Source URL: hkumath.hku.hk Language: English - Date: 2014-09-28 05:35:35 Matrices Unitary matrix Diagonalizable matrix Symmetric matrix Symplectic matrix Eigenvalues and eigenvectors Orthogonal matrix Matrix Projection Algebra Linear algebra Mathematics
856	Choleski Algorithms for the Solution of a Set of Normal Equations Dr. Peter A. Steeves, P. Eng. Geodetic Software Systems Abstract: Algorithms for the solution of a set of normal equations by the method of Choleski are Add to Reading List Source URL: webhome.idirect.com Language: English - Date: 2002-02-19 11:40:34 Numerical linear algebra Matrices Matrix theory Control theory Cholesky decomposition Linear least squares Matrix Transpose Linear-quadratic-Gaussian control Algebra Mathematics Linear algebra
857	New Paper for J Math Phys on Networks and Markov Monoid Add to Reading List Source URL: netmetrics.asg.sc.edu Language: English - Date: 2007-04-27 13:40:28 Markov models Matrices Philosophy of thermal and statistical physics Statistical theory Entropy Matrix Eigenvalues and eigenvectors Rényi entropy Diagonalizable matrix Algebra Mathematics Information theory
858	MATHHomework 5 This homework will be collected at the end of class on October 29, Let A ∈ Mn×n (C) be a Hermitian matrix. Prove the following properties of the Rayleigh quotient ρ(A, v) = v ∗ A Add to Reading List Source URL: hkumath.hku.hk Language: English - Date: 2014-10-21 20:24:39 Matrices Matrix theory Singular value decomposition Eigenvalues and eigenvectors Hermitian matrix Diagonalizable matrix Matrix Rayleigh quotient Eigendecomposition of a matrix Algebra Linear algebra Mathematics
859	C O M P U T A T I O N A L M O D E L I N G A N D D A T A A N A LY T I C S Distinguished Lecture & Celebration of Virginia Tech’s new CMDA Degree GILBERT STRANG Add to Reading List Source URL: www.science.vt.edu Language: English - Date: 2015-05-29 19:30:36 Matrices Sparse matrices Numerical linear algebra Matrix theory Tridiagonal matrix Matrix Diagonal matrix Symmetric matrix Diagonalizable matrix Algebra Linear algebra Mathematics
860	Some Basic Matrix Theorems Richard E. Quandt Princeton University Definition 1. Let A be a square matrix of order n and let λ be a scalar quantity. Then det(A−λI) is called the characteristic polynomial of A. Add to Reading List Source URL: www.quandt.com Language: English - Date: 2009-11-04 11:37:58 Matrix theory Matrices Abstract algebra Singular value decomposition Eigenvalues and eigenvectors Symmetric matrix Matrix Orthogonal matrix Vector space Algebra Linear algebra Mathematics

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