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721	Proof that if voting is perfect in one dimension, then the first eigenvector extracted from the double-centered transformed ag Add to Reading List Source URL: voteview.com Language: English - Date: 2012-06-14 10:28:19 Matrix theory Linear algebra Matrices Positive-definite matrix Eigenvalues and eigenvectors Algebra Mathematics Singular value decomposition
722	RANDOM MATRICES: TAIL BOUNDS FOR GAPS BETWEEN EIGENVALUES arXiv:1504.00396v1 [math.PR] 1 Apr 2015 HOI NGUYEN, TERENCE TAO, AND VAN VU Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-04-02 20:12:27
723	CALL FOR PAPERS IEEE Journal of Selected Topics in Signal Processing (J-STSP) Special Issue on Structured Matrices in Signal and Data Processing The idea of representing a signal as a vector living in some linear vector Add to Reading List Source URL: www.signalprocessingsociety.org Language: English - Date: 2015-07-08 09:44:23 Matrix theory Multivariate statistics Singular value decomposition Data analysis Non-negative matrix factorization Matrix Rank Principal component analysis Array programming Algebra Linear algebra Mathematics
724	BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 1, Number 2, March 1979 ERGODIC THEOREMS IN DEMOGRAPHY BY JOEL E. COHEN1 Add to Reading List Source URL: lab.rockefeller.edu Language: English - Date: 2012-02-08 16:23:17 Markov processes Population Probability theory Ergodic theory Markov models Perron–Frobenius theorem Markov chain Leslie matrix Ergodicity Statistics Mathematics Matrices
725	Improved analysis-error covariance matrix for high-dimensional variational inversions: application to source estimation using a 3D atmospheric transport model Add to Reading List Source URL: spot.colorado.edu Language: English - Date: 2015-04-29 17:50:25 Numerical linear algebra Matrices Linear filters Limited-memory BFGS Quasi-Newton method Estimation theory BFGS method Preconditioner Lanczos algorithm Algebra Mathematics Linear algebra
726	MFE 237H: Quantitative Asset Management Notes on Minimum Variance Portfolios Professor Jason Hsu UCLA Anderson School of Management Minimum Variance Portfolio Add to Reading List Source URL: www.jasonhsu.org Language: English - Date: 2012-05-28 17:50:29 Summary statistics Matrices Probability theory Variance Covariance Sample mean and sample covariance SAS Multivariate random variable Principal component analysis Statistics Covariance and correlation Data analysis
727	U.S. Department of Commerce National Oceanic and Atmospheric Administration National Weather Service National Centers for Environmental Prediction 5830 University Research Court College Park, MD 20740 Add to Reading List Source URL: www.lib.ncep.noaa.gov Language: English - Date: 2015-06-04 11:02:28 Matrix theory Numerical linear algebra Matrices Singular value decomposition Eigenvalues and eigenvectors Rayleigh quotient Positive-definite matrix Matrix Covariance Algebra Linear algebra Mathematics
728	Advanced Scientific Computing Research FY 2004 Accomplishment Add to Reading List Source URL: www.csm.ornl.gov Language: English - Date: 2006-06-15 16:47:43 Sparse matrices Supernovae Light sources Nuclear physics Tridiagonal matrix Supernova Preconditioner Sparse matrix Nuclear astrophysics Physics Astrophysics Astronomy
729	DELFT UNIVERSITY OF TECHNOLOGY REPORTA Restarted Induced Dimension Reduction method to approximate eigenpairs of large unsymmetric matrices R. Astudillo and M. B. van Gijzen Add to Reading List Source URL: www.ewi.tudelft.nl Language: English - Date: 2014-10-30 09:58:53 Numerical linear algebra Matrices Sparse matrices Matrix theory Hessenberg matrix Tridiagonal matrix Eigenvalues and eigenvectors Matrix Projection Algebra Linear algebra Mathematics
730	Proof that if voting is perfect in one dimension, then the first eigenvector extracted from the double-centered transformed ag Add to Reading List Source URL: www.voteview.com Language: English - Date: 2012-06-14 10:28:19 Matrix theory Linear algebra Matrices Positive-definite matrix Eigenvalues and eigenvectors Algebra Mathematics Singular value decomposition

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