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linear algebra
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691	Writing a performance-portable matrix multiplication Add to Reading List Source URL: www.des.udc.es Language: English - Date: 2016-01-27 04:16:13 Parallel computing GPGPU Numerical linear algebra Computational science Programming paradigms OpenCL General-purpose computing on graphics processing units Basic Linear Algebra Subprograms Automatic vectorization Compute kernel Kernel Matrix multiplication algorithm
692	Spectral Graph Theory Lecture 19 Preconditioning Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2015-08-17 14:43:26 Matrix theory Matrices Linear algebra Numerical linear algebra Mathematical physics Preconditioner Eigenvalues and eigenvectors Conjugate gradient method Diagonalizable matrix Matrix Trace Laplacian matrix
693	Contents 1 Singular Value Decomposition (SVD) 1.1 Singular Vectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Singular Value Decomposition (SVD) . . . . . . . . . . . . . . . . . 1.3 Best Rank k Approx Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-03-06 21:36:15 Linear algebra Singular value decomposition Principal component analysis Singular value Rank Projection Matrix norm Matrix Euclidean vector Degrees of freedom Eigenvalues and eigenvectors Linear subspace
694	Microsoft Word - Week 9.doc Add to Reading List Source URL: www.mymathgenius.com Language: English - Date: 2008-07-13 20:44:06 Equations Elementary algebra Linear algebra Like terms Algebra Linear inequality Binomial theorem Factorization
695	Assignment 1 Randomization in Numerical Linear Algebra (PCMI) 1. Sherman-Morrison-Woodbury Formula For A ∈ Rn×n nonsingular, and U, V ∈ Rm×n show: If I + V A−1 U T is nonsingular then A + UT V Add to Reading List Source URL: www.drineas.org Language: English - Date: 2016-06-21 11:31:36 Matrices Orthogonal matrix
696	Rectified Factor Networks Supplement Djork-Arn´e Clevert, Andreas Mayr, Thomas Unterthiner and Sepp Hochreiter Institute of Bioinformatics, Johannes Kepler University, Linz, Austria {okko,mayr,unterthiner,hochreit}@bioi Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-12-02 09:40:10 Linear algebra Functional analysis Projection Mathematical optimization Expectationmaximization algorithm Gradient descent Matrix
697	Spectral Graph Theory and its Applications September 9, 2004 Lecture 3 Lecturer: Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2005-06-30 12:02:44 Matrix theory Matrices Algebraic graph theory Linear algebra Eigenvalues and eigenvectors Singular value decomposition Spectral graph theory Symmetric matrix Expander graph Laplacian matrix
698	Exercises 2: Linear algebra and some OLS application Florian Oswald October 3, Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Matrices Linear algebra Matrix theory Mathematical physics Eigenvalues and eigenvectors Singular value decomposition Quadratic form Square matrix Symmetric matrix Diagonalizable matrix Matrix Orthogonal matrix
699	Vectors, Matrices, and Least Squares (Working Title) S. Boyd and L. Vandenberghe ROUGH DRAFT December 9, 2015 Add to Reading List Source URL: stanford.edu Language: English - Date: 2016-08-18 11:36:05 Linear algebra Abstract algebra Vectors Numerical linear algebra Matrix theory Euclidean vector Matrix Vector space Linear independence Scalar Norm Multivector
700	001 TISANExlsm Add to Reading List Source URL: oldtownscrabble.com Language: English - Date: 2011-06-03 09:57:15 Matrix theory Linear algebra

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