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Eigenvalues and eigenvectors
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#	Item
431	Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression Nicole Kr¨ amer Machine Learning Group Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2009-04-18 18:18:09 Linear algebra Regression analysis Numerical linear algebra Singular value decomposition Operator theory Lanczos algorithm Eigenvalues and eigenvectors Partial least squares regression Principal component analysis Algebra Statistics Mathematics
432	Running a Principal Component Analysis (PCA) with XLSTAT demoPCA.xls Dataset for running a Principal Component Analysis An Excel sheet containing both the data and the results for use in this tutorial can be downloaded Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2011-11-17 10:33:22 Data analysis Singular value decomposition Principal component analysis Econometrics XLSTAT Eigenvalues and eigenvectors Regression analysis Biplot Variance Statistics Algebra Multivariate statistics
433	Endomorphisms of complex abelian varieties, Milan, February 2014 Igor Dolgachev January 1, 2015 ii Add to Reading List Source URL: www.math.lsa.umich.edu Language: English - Date: 2015-01-01 16:46:37 Matrices Abstract algebra Symplectic geometry Symplectic vector space Operator theory Unitary group Skew-symmetric matrix Modular form Eigenvalues and eigenvectors Algebra Mathematics Linear algebra
434	1 Resource Allocation for Parallel Gaussian MIMO Wire-tap Channels Vincent Le Nir, Bart Scheers Abstract—Wire-tap channels are able to provide perfect secrecy when a receiver exhibits a better channel than its wiretap Add to Reading List Source URL: www.sic.rma.ac.be Language: English - Date: 2010-10-26 09:41:52 Radio resource management Linear algebra Matrix theory Mathematical optimization MIMO Eigenvalues and eigenvectors Convex optimization Channel state information Lagrange multiplier Algebra Mathematics Information theory
435	The University of Hong Kong MATHTest # 2 Solutions (Last updated: November 13, 2014) Name: UID: Add to Reading List Source URL: hkumath.hku.hk Language: English - Date: 2014-11-12 20:17:43 Matrix theory Matrices Singular value decomposition Operator theory Spectral theorem Eigenvalues and eigenvectors Polar decomposition Positive-definite matrix Matrix Algebra Linear algebra Mathematics
436	Graph-based Approach for Motion Capture Data Representation and Analysis Jiun-Yu (Joanne) Kao, Antonio Ortega Integrated Media Systems Center, Department of Electrical Engineering University of Southern California Add to Reading List Source URL: imsc.usc.edu Language: English - Date: 2015-03-24 13:09:42 Linear algebra Matrix theory Multivariate statistics Singular value decomposition Eigenvalues and eigenvectors Laplacian matrix Adjacency matrix Matrix Dimension reduction Algebra Mathematics Algebraic graph theory
437	CCCG 2009, Vancouver, BC, August 17–19, 2009 Symmetry Restoration by Stretching Misha Kazhdan∗ Nina Amenta† Add to Reading List Source URL: cccg.ca Language: English - Date: 2009-09-02 14:20:06 Symmetry Matrices Singular value decomposition Transformation Eigenvalues and eigenvectors Rotation matrix Principal component analysis Matrix Symmetric matrix Algebra Linear algebra Mathematics
438	OctLecture 9: Eigensystems of Matrix Equations Reading: Kreyszig Sections: 8.1, 8.2, 8.3 (pages334–338, 340–343, 345–348) Add to Reading List Source URL: pruffle.mit.edu Language: English - Date: 2009-06-08 11:31:30 Matrices Eigenvalues and eigenvectors Hermitian matrix Diagonalizable matrix Symmetric matrix Matrix Skew-symmetric matrix Orthogonal matrix Unitary matrix Algebra Linear algebra Mathematics
439	File: WhatIdo Version dated October 28, 2010 3:38 pm What Does a Floating-Point Error-Analyst Do? • Moderately over-estimate errors in Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2010-10-28 18:40:50 Matrix theory Computer arithmetic Mathematical physics Floating point William Kahan Eigenvalues and eigenvectors Matrix Symmetric matrix Algebra Mathematics Linear algebra
440	SOLVING OVERDETERMINED EIGENVALUE PROBLEMS SAPTARSHI DAS∗ AND ARNOLD NEUMAIER† Abstract. We propose a new interpretation of the generalized overdetermined eigenvalue problem (A − λB) v ≈ 0 for two m × n (m > n Add to Reading List Source URL: www.mat.univie.ac.at Language: English - Date: 2012-12-12 09:52:56 Abstract algebra Matrix theory Numerical linear algebra Eigenvalues and eigenvectors Singular value decomposition Generalized eigenvector Matrix Orthogonal matrix Inverse iteration Algebra Mathematics Linear algebra

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