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QR algorithm
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1	Computing the Complete CS Decomposition Brian D. Sutton∗ May 20, 2008 Abstract An algorithm for computing the complete CS decomposition of a partitioned unitary matrix is developed. Although the existence of the CS dec Add to Reading List Source URL: faculty.rmc.edu Language: English - Date: 2008-05-20 14:06:05 Algebra Linear algebra Mathematics Numerical linear algebra Sparse matrices Matrix theory Matrices Singular value decomposition Bidiagonalization Bidiagonal matrix QR algorithm Orthogonal matrix
2	Implementing a Blocked Aasen’s Algorithm with a Dynamic Scheduler on Multicore Architectures Grey Ballard∗ , Dulceneia Becker† , James Demmel∗ , Jack Dongarra†‡§ Alex Druinsky¶ , Inon Peled¶ , Oded Schwart Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2014-11-26 08:31:51 Algebra Linear algebra Mathematics Numerical linear algebra LU decomposition Matrix Block matrix Rank QR algorithm
3	Matrix Computations and Optimization in Apache Spark ∗ Reza Bosagh Zadeh Xiangrui Meng Add to Reading List Source URL: matroid.com Language: English - Date: 2016-08-06 03:04:23 Numerical linear algebra Apache Spark Matrix Basic Linear Algebra Subprograms Singular value decomposition Lanczos algorithm Rank ARPACK LAPACK Linear algebra Sparse matrix QR decomposition
4	Universality in Numerical Computations with Random Data. Case Studies. Percy Deift∗, Govind Menon†, Sheehan Olver‡and Thomas Trogdon∗ July 16, 2014 Abstract Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Numerical linear algebra Mathematical physics Matrix theory Linear algebra QR algorithm Eigenvalues and eigenvectors Matrix Determinant Generalized minimal residual method Random matrix Rotation matrix Eigenvalue algorithm
5	Isospectral Flows and The Toeplitz Inverse Eigenvalue Problem Author: Marcus Webb Supervisor: Arieh Iserles Add to Reading List Source URL: www.damtp.cam.ac.uk Language: English - Date: 2013-06-06 09:51:08 Matrices Symmetric matrix QR algorithm Isospectral Diagonalizable matrix Logarithm of a matrix Skew-symmetric matrix Orthogonal matrix Eigenvalues and eigenvectors Matrix QR decomposition Positive-definite matrix
6	1 Algorithm 9xx: Sparse QR Factorization on the GPU SENCER NURI YERALAN, University of Florida TIMOTHY A. DAVIS, Texas A&M University WISSAM M. SID-LAKHDAR, Texas A&M University SANJAY RANKA, University of Florida Add to Reading List Source URL: faculty.cse.tamu.edu Language: English - Date: 2016-06-03 16:06:45
7	Structural properties underlying high-quality Randomized Numerical Linear Algebra algorithms Michael W. Mahoney ∗ Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2016-03-03 02:50:08 Numerical linear algebra Matrix Principal component analysis Orthogonal matrix Gaussian elimination Singular value decomposition Low-rank approximation MoorePenrose pseudoinverse QR decomposition QR algorithm Matrix completion Linear least squares
8	Introduction to communication avoiding linear algebra algorithms in high performance computing Laura Grigori Inria Rocquencourt/UPMC Add to Reading List Source URL: www.lifl.fr Language: English Algebra Linear algebra Mathematics Numerical linear algebra LU decomposition QR decomposition LAPACK Rank Parallel algorithm Matrix multiplication Pivot element Parallel computing
9	How long does it take to compute the eigenvalues of a random symmetric matrix?∗ Christian W. Pfrang †, Percy Deift ‡, Add to Reading List Source URL: www.dam.brown.edu Language: English - Date: 2013-04-10 17:34:59 Numerical linear algebra Matrices Matrix theory Mathematical physics Linear algebra QR algorithm Eigenvalues and eigenvectors Matrix Eigendecomposition of a matrix Orthogonal matrix QR decomposition Eigenvalue algorithm
10	PDF Document Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2015-06-12 14:04:34 Numerical linear algebra Matrices Matrix theory Linear algebra QR decomposition Cholesky decomposition QR algorithm LU decomposition Orthogonal matrix Matrix Factorization Singular value decomposition

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