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Orthogonal matrix
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71	From SIAM News, Volume 39, Number 8, OctoberBridging the Gap Between Numerical Linear Algebra, Theoretical Computer Science, and Data Applications By Gene H. Golub, Michael W. Mahoney, Petros Drineas, and Lek-Heng Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2006-11-07 13:12:10 Matrix theory Numerical linear algebra Multivariate statistics Tensors Singular value decomposition Rank Matrix Non-negative matrix factorization Orthogonal matrix Algebra Linear algebra Mathematics
72	The Fast Cauchy Transform and Faster Robust Linear Regression Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2012-10-29 14:51:57 Econometrics Functional analysis Numerical linear algebra Analysis of algorithms Vector space Matrix Linear regression Projection Orthogonal matrix Algebra Mathematics Linear algebra
73	Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nystr¨ om Method David G. Anderson Department of Mathematics Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2015-03-26 11:57:44 Numerical linear algebra Singular value decomposition Matrices Matrix theory Matrix Orthogonal matrix Rank Principal component analysis QR decomposition Algebra Linear algebra Mathematics
74	THE ACHILLES’ HEEL OF O(3, 1)? WILLIAM FLOYD, BRIAN WEBER, AND JEFFREY WEEKS Abstract. What’s the best way to represent an isometry of hyperbolic 3space H3 ? Geometers traditionally worked in SL(2, C), but for softwa Add to Reading List Source URL: www.math.vt.edu Language: English - Date: 2001-12-21 13:08:50 Matrix theory Lie groups Hyperbolic geometry Exponentials Matrix Hyperbolic function Determinant Special unitary group Orthogonal group Algebra Mathematics Linear algebra
75	Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nystr¨om Method: Supplementary Material 1 Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2015-03-26 11:57:52 Matrix theory Matrices Operator theory Orthogonal matrix Matrix decomposition Polar decomposition Algebra Linear algebra Mathematics
76	Journal of Machine Learning Research3472 Submitted 7/12; PublishedFast Approximation of Matrix Coherence and Statistical Leverage Petros Drineas Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2013-01-07 18:40:32 Numerical linear algebra Matrix theory Functional analysis Matrices Orthogonal matrix Matrix Singular value decomposition Randomized algorithm QR decomposition Algebra Linear algebra Mathematics
77	DownloadedtoRedistribution subject to SIAM license or copyright; see http://www.siam.org/journals/ojsa.php SIAM J. SCI. COMPUT. Vol. 36, No. 2, pp. C95–C118 c 2014 Society for Industrial an Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2014-06-25 12:34:56 Numerical linear algebra Singular value decomposition Matrix theory Functional analysis Preconditioner Moore–Penrose pseudoinverse Kernel Conjugate gradient method Orthogonal matrix Algebra Linear algebra Mathematics
78	Fast approximation of matrix coherence and statistical leverage Petros Drineas Dept. of Computer Science, Rensselaer Polytechnic Institute, Troy, NYUSA Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2012-08-14 00:18:31 Numerical linear algebra Matrix theory Matrices Computational complexity theory Singular value decomposition Orthogonal matrix Matrix multiplication Randomized algorithm Low-rank approximation Algebra Linear algebra Mathematics
79	Proceedings of the 17th International Symposium on Mathematical Theory of Networks and Systems, Kyoto, Japan, July 24-28, 2006 A generalisation of the Oja subspace flow Christfried Webers and Jonathan H. Manton Abstrac Add to Reading List Source URL: web-port.net Language: English - Date: 2013-10-29 01:29:52 Matrices Matrix theory Numerical linear algebra Singular value decomposition Orthogonal matrix Eigenvalues and eigenvectors Matrix Principal component analysis Symmetric matrix Algebra Linear algebra Mathematics
80	STRUCTURAL VECTOR AUTOREGRESSIONS: THEORY OF IDENTIFICATION AND ALGORITHMS FOR INFERENCE JUAN F. RUBIO-RAMÍREZ, DANIEL F. WAGGONER, AND TAO ZHA A BSTRACT. SVARs are widely used for policy analysis and to provide stylize Add to Reading List Source URL: www.atl-res.com Language: English - Date: 2009-06-09 20:55:04 Linear algebra Matrices Matrix theory Reduced form Vector autoregression Parameter identification problem Orthogonal matrix Matrix Rank Algebra Econometrics Mathematics

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