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Householder transformation
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1	Microsoft PowerPoint - VECPAR2010katagiri-open.pptx Add to Reading List Source URL: vecpar.fe.up.pt Language: English - Date: 2010-07-02 11:13:00 Numerical linear algebra Householder transformation Tridiagonal matrix Inverse iteration Eigenvalues and eigenvectors Eigenvalue algorithm Matrix Symmetric matrix Diagonal matrix Algebra Linear algebra Mathematics
2	Computing a Matrix Function for Exponential Integrators Ya Yan Lu1 Department of Mathematics City University of Hong Kong Kowloon, Hong Kong Add to Reading List Source URL: math.cityu.edu.hk Language: English - Date: 2003-08-12 00:29:55 Numerical linear algebra Matrices Matrix theory Transformation Tridiagonal matrix Lanczos algorithm Householder transformation Eigenvalue algorithm Symmetric matrix Algebra Linear algebra Mathematics
3	Multifrontal multithreaded rank-revealing sparse QR factorization Timothy Davis1 Univ. of Florida, CISE Department E301 CSE, [removed], Gainesville, FL, USA [removed] Add to Reading List Source URL: drops.dagstuhl.de Language: English - Date: 2009-07-24 02:12:58 Numerical linear algebra Matrices Matrix theory QR decomposition Sparse matrix Matrix Orthogonal matrix Rank Householder transformation Algebra Linear algebra Mathematics
4	Updating the QR factorization and the least squares problem Sven Hammarling and Craig Lucas November[removed]MIMS EPrint: [removed] Add to Reading List Source URL: eprints.ma.man.ac.uk Language: English - Date: 2008-11-14 07:41:05 Numerical linear algebra Matrices Matrix theory QR decomposition Transformation Orthogonal matrix Householder transformation Matrix Factorization Algebra Linear algebra Mathematics
5	EFFICIENT PARALLEL NON-NEGATIVE LEAST SQUARES ON MULTI-CORE ARCHITECTURES YUANCHENG LUO AND RAMANI DURAISWAMI UNIVERSITY OF MARYLAND, COLLEGE PARK Abstract. We parallelize a version of the active-set iterative algorithm Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2011-06-21 08:58:21 Numerical linear algebra QR decomposition Matrix Householder transformation Kernel Sparse matrix Linear least squares LAPACK Triangular matrix Algebra Linear algebra Mathematics
6	Appendix C Generating Random Correlation Matrices Contents C.1 Add to Reading List Source URL: support.sas.com Language: English - Date: 2013-04-22 14:53:20 Matrices Matrix theory Numerical linear algebra Mathematical physics Orthogonal matrix Matrix Eigenvalues and eigenvectors Random matrix Householder transformation Algebra Linear algebra Mathematics
7	Rank Revealing QR factorization F. Guyomarc’h, D. Mezher and B. Philippe 1 Outline Add to Reading List Source URL: www.irisa.fr Language: English - Date: 2005-11-14 09:59:29 Numerical linear algebra QR decomposition QR algorithm Householder transformation Rank Cholesky decomposition Algebra Linear algebra Mathematics
8	Reconstructing Householder Vectors from Tall-Skinny QR Grey Ballard James Demmel Laura Grigori Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-26 16:17:06 Numerical linear algebra QR decomposition QR algorithm Orthogonal matrix Householder transformation Kernel Eigenvalues and eigenvectors Matrix multiplication LU decomposition Algebra Linear algebra Mathematics
9	Exploiting Data Sparsity in Parallel Matrix Powers Computations Nicholas Knight Erin Carson James Demmel Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-05-03 22:57:09 Numerical linear algebra Matrix multiplication Matrix theory Multiplication Matrices Matrix Tridiagonal matrix Matrix chain multiplication Householder transformation Algebra Linear algebra Mathematics
10	c 2008 Society for Industrial and Applied Mathematics SIAM REVIEW Add to Reading List Source URL: www.math.wsu.edu Language: English - Date: 2008-02-11 22:02:03 Mathematics QR algorithm Hessenberg matrix Householder transformation QR decomposition Eigenvalues and eigenvectors Triangular matrix Krylov subspace Power iteration Algebra Linear algebra Numerical linear algebra