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Matrix norm
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1	A Semismooth Newton-CG Based Dual PPA for Matrix Spectral Norm Approximation Problems Caihua Chen∗, Yong-Jin Liu†, Defeng Sun‡ and Kim-Chuan Toh§ December 8, 2014 Abstract. We consider a class of matrix spectral Add to Reading List Source URL: www.math.nus.edu.sg Language: English - Date: 2014-12-08 22:11:26
2	COMPUTING THE NORM OF A MATRIX KEITH CONRAD 1. Norms on Vector Spaces Let V be a vector space over R. A norm on V is a function \|\| · \|\| : V → R satisfying three properties: Add to Reading List Source URL: www.math.uconn.edu Language: English - Date: 2008-09-02 13:59:10
3	1 Doc. Math. J. DMV On the Approximation Numbers of Large Toeplitz Matrices Add to Reading List Source URL: www.math.uiuc.edu Language: English - Date: 2014-07-15 07:15:55 Linear algebra Mathematics Fredholm theory Matrices Fredholm operator Toeplitz matrix Matrix norm Operator theory
4	Norms of random submatrices and sparse approximation Joel A. Tropp 1 Applied & Computational Mathematics, California Institute of Technology, Pasadena, CAReceived ***; accepted after revision +++++ Present Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2008-07-28 20:32:09** Linear algebra Mathematics Matrix Norm
5	Spectral Graph Theory Lecture 18 Linear Sized Sparsifiers Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2015-11-04 14:25:27 Algebra Mathematics Linear algebra Matrix theory Abstract algebra Vectors Matrices Eigenvalues and eigenvectors Norm Vector space Laplacian matrix Matrix
6	Introduction to Numerical Linear Algebra II Petros Drineas These slides were prepared by Ilse Ipsen for the 2015 Gene Golub SIAM Summer School on RandNLA Add to Reading List Source URL: www.drineas.org Language: English - Date: 2016-07-01 13:48:31 Algebra Mathematics Linear algebra Mathematical analysis Matrix norm Norm Inner product space Lp space Triangle inequality Orthonormality
7	Spectral Graph Theory Lecture 18 The Conjugate Gradient and Diameter Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2015-08-17 14:43:26 Algebra Mathematics Linear algebra Conjugate gradient method Eigenvalues and eigenvectors Matrix Projection Laplacian matrix Norm Vector space PerronFrobenius theorem Diagonalizable matrix
8	ALGORITHMIC LINEAR DIMENSION REDUCTION IN THE `1 NORM FOR SPARSE VECTORS A. C. GILBERT, M. J. STRAUSS, J. A. TROPP, AND R. VERSHYNIN Abstract. We can recover approximately a sparse signal with limited noise, i.e, a vecto Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2009-02-03 14:30:47 Digital signal processing Computational complexity theory Matrix Fast Fourier transform Time complexity Mathematics Computer science Theoretical computer science Polynomials
9	Applied Linear Algebra Refresher Course Karianne Bergen Institute for Computational and Mathematical Engineering, Stanford University Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-12-18 11:43:47 Algebra Mathematics Linear algebra Abstract algebra Scalar Norm Vector space Linear map Algebra over a field Euclidean vector Matrix Inner product space
10	http://www.r-project.org/ A (very) short introduction to R and do the following (assuming you work on a Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-03-18 06:24:32 Linear algebra Array programming languages Vectors Functional languages Vector calculus R Euclidean vector Matrix Vector space Norm Vector Command-line interface

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