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Matrix theory
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#	Item
321	Spectral Graph Theory Lecture 15 Iterative solvers for linear equations Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2012-08-24 09:50:05 Numerical linear algebra Matrix theory Linear algebra Eigenvalues and eigenvectors Singular value decomposition Modified Richardson iteration Conjugate gradient method Eigendecomposition of a matrix
322	689 Documenta Math. Hessian Ideals of a Homogeneous Polynomial and Generalized Tjurina Algebras Add to Reading List Source URL: www.math.uiuc.edu Language: English - Date: 2015-08-15 09:27:50 Algebraic geometry Algebraic varieties Commutative algebra Singularity theory Hilbert series and Hilbert polynomial Projective variety Hypersurface Hessian matrix Degree of an algebraic variety Product
323	Latent Outlier Detection and the Low Precision Problem Fei Wang, Sanjay Chawla and Didi Surian University of Sydney Add to Reading List Source URL: www.outlier-analytics.org Language: English - Date: 2013-08-13 08:05:46 Linear algebra Matrix theory Multivariate statistics Robust statistics Non-negative matrix factorization Outlier Singular value decomposition
324	ON THE LINEAR INDEPENDENCE OF SPIKES AND SINES JOEL A. TROPP Abstract. The purpose of this work is to survey what is known about the linear independence of spikes and sines. The paper provides new results for the case wh Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2008-04-16 22:00:34 Operator theory Matrix Partial differential equations Complex analysis Functional analysis Harmonic analysis Differential forms on a Riemann surface NeumannPoincar operator
325	Use of Semi-separable Approximate Factorization and Direction-preserving for Constructing Effective Preconditioners X. Sherry Li Lawrence Berkeley National Laboratory Ming Gu (UC Berkeley) Add to Reading List Source URL: crd-legacy.lbl.gov Language: English - Date: 2010-03-18 15:12:23 Numerical linear algebra Matrices Linear algebra Matrix theory Operator theory Cholesky decomposition Singular value decomposition Matrix Schur complement Triangular matrix Rank Hierarchical matrix
326	ORDINARY LEAST SQUARES REGRESSION MATH 196, SECTION 57 (VIPUL NAIK) Corresponding material in the book: For the computational process, Section 5.3 of the book is relevant. For comparing notation: • Add to Reading List Source URL: files.vipulnaik.com Language: English - Date: 2016-08-13 11:33:29 Regression analysis Estimation theory Parametric statistics Econometrics Least squares Linear regression Ordinary least squares Linear algebra Matrix Vector space Line Linear least squares
327	Spectral Graph Theory Lecture 17 Sparsification by Effective Resistance Sampling Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2015-11-03 13:58:23 Linear algebra Chernoff bound Matrix Trace Exponentiation Random matrix
328	TENSORS: GEOMETRY AND APPLICATIONS CORRECTIONS AND ADDITIONS, LAST UPDATED 7/13 J.M. LANDSBERG 1. Chapter 1 • Add to Reading List Source URL: www.math.tamu.edu Language: English - Date: 2013-07-08 12:18:43 Linear algebra Matrix theory Numerical linear algebra Binary operations Matrix Rank Tensor Determinant 0.999... Eqn
329	Martin Nilsson Jacobi, Chalmers Preliminary work in WP2 Two useful(?) examples maybe primarily for WP1.3: closure at different scales Add to Reading List Source URL: www.hieratic.eu Language: English Markov processes Matrix theory Graph theory Markov chain Eigenvalues and eigenvectors Matrix
330	Algorithms for Non-negative Matrix Factorization Daniel D. Lee* BelJ Laboratories Lucent Technologies Add to Reading List Source URL: papers.nips.cc Language: English* - Date: 2014-04-15 02:01:26 Matrix theory Multivariate statistics Linear algebra Non-negative matrix factorization Matrix Derivative KullbackLeibler divergence Divergence PerronFrobenius theorem Convolution Principal component analysis

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