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M-matrix
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31	SIAM J. Matrix Anal. Appl. (SIMAX), 18(1):83–103, 1997 BOUNDS FOR THE COMPONENTWISE DISTANCE TO THE NEAREST SINGULAR MATRIX S. M. RUMP Add to Reading List Source URL: www.ti3.tu-harburg.de Language: English - Date: 2005-11-23 09:09:25 Algebra Mathematics Matrix theory Linear algebra Symbol Determinant Matrix Orthogonal matrix Holomorphic functional calculus Fidelity of quantum states
32	Supplementary Information Methods Interaction retrieval and matrix construction: Proteins can have direct or indirect interactions with one another. Indirect interaction refers to being a member of the same functional m Add to Reading List Source URL: www3.nd.edu Language: English - Date: 2005-10-25 16:57:57 Biology Systems biology Biochemistry Bioinformatics Molecular biology Proteomics Proteins Multiprotein complex Proteinprotein interaction Gene regulatory network Saccharomyces cerevisiae Two-hybrid screening
33	BIT 39(1), pp. 143–151, 1999 ILL-CONDITIONEDNESS NEEDS NOT BE COMPONENTWISE NEAR TO ILL-POSEDNESS FOR LEAST SQUARES PROBLEMS SIEGFRIED M. RUMP∗ Abstract. The condition number of a problem measures the sensitivity of Add to Reading List Source URL: www.ti3.tu-harburg.de Language: English - Date: 2005-11-23 05:51:43 Algebra Linear algebra Mathematics Matrices Matrix theory Functional analysis Numerical linear algebra Singular value decomposition Matrix Invertible matrix Rank Condition number
34	SIAM Review 41(1):102–112, 1999 ILL-CONDITIONED MATRICES ARE COMPONENTWISE NEAR TO SINGULARITY SIEGFRIED M. RUMP∗ Abstract. For a square matrix normed to 1, the normwise distance to singularity is well known to be eq Add to Reading List Source URL: www.ti3.tu-harburg.de Language: English - Date: 2005-11-23 07:11:50 Algebra Linear algebra Mathematics Matrix theory Matrices Determinant Matrix Symmetric matrix Invertible matrix Diagonal matrix Square matrix Eigenvalues and eigenvectors
35	DISTRIBUTED COMPRESSED SENSING ALGORITHMS: COMPLETING THE PUZZLE João F. C. Mota1,2 , João M. F. Xavier2 , Pedro M. Q. Aguiar2 , and Markus Püschel3 1 2 Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2013-09-21 01:25:49 Mathematical optimization Mathematics Numerical analysis Operations research Numerical linear algebra Least squares Matrix theory Mathematical analysis
36	Revisiting natural gradient for deep networks Yoshua Bengio Universit´e de Montr´eal Montr´eal QC H3C 3J7 Canada Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-18 01:51:44 Numerical analysis Mathematical analysis Mathematics Estimation theory Numerical linear algebra M-estimators Stochastic optimization Conjugate gradient method Nonlinear conjugate gradient method Gradient descent Gradient method Hessian matrix
37	2016 hjc new products rpha st zaytun Advanced P.I.M. (Premium Integrated Matrix) Construction. • Integrated Sunshield: Smoke tinted Sunshield Add to Reading List Source URL: www.partscanada.com Language: English - Date: 2016-03-07 12:53:51 Clothing Fashion design 2XL Clothing sizes
38	Validated Solution of Large Linear Systems1 Siegfried M. Rump Dedicated to U. Kulisch on the occasion of his 60th birthday Abstract Some new methods will be presented for computing verified inclusions of the solution of Add to Reading List Source URL: www.ti3.tu-harburg.de Language: English - Date: 2005-11-24 03:59:24 Algebra Linear algebra Mathematics Matrix theory Matrices Numerical linear algebra Spectral theory Matrix Eigenvalues and eigenvectors Invertible matrix Triangular matrix Symmetric matrix
39	Learning Spatially-Smooth Mappings in Non-Rigid Structure from Motion Onur C. Hamsici1 , Paulo F.U. Gotardo2 , and Aleix M. Martinez2 1 Qualcomm Research, San Diego, CA, USA Add to Reading List Source URL: www2.ece.ohio-state.edu Language: English - Date: 2012-12-12 10:55:54 Algebra Mathematics Linear algebra Functional analysis Numerical linear algebra Abstract algebra Matrix theory Matrix Kernel Linear map Eigenvalues and eigenvectors Principal component analysis
40	Math 515 Fall, 2014 Homework 4, due Thursday, OctoberSuppose A ∈ Rm×n , m ≥ n, and rank(A) = n; that is, A has full rank. Consider the linear system: Add to Reading List Source URL: www.mathcs.emory.edu Language: English - Date: 2014-10-02 08:46:56 Algebra Linear algebra Mathematics Numerical linear algebra Matrix theory MoorePenrose pseudoinverse Singular value decomposition Matrix Rank Equation solving QR decomposition Generalized inverse

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