Positive-definite matrix

Results: 90



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21NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET Marginal Variances for Gaussian Markov Random Fields by

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET Marginal Variances for Gaussian Markov Random Fields by

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Source URL: www.math.ntnu.no

Language: English - Date: 2005-03-14 10:30:29
22Computing Hulls And Centerpoints In Positive Definite Space∗ P. Thomas Fletcher John Moeller  Jeff M. Phillips

Computing Hulls And Centerpoints In Positive Definite Space∗ P. Thomas Fletcher John Moeller Jeff M. Phillips

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Source URL: www.cs.utah.edu

Language: English - Date: 2010-01-06 14:02:07
23MATHPractice problems for week 6 These are practice problems for the material discussed in lecture on Wednesday, Oct. 22, 2014. These problems will not be collected. 1. Find the eigenvalues of the matrix 

MATHPractice problems for week 6 These are practice problems for the material discussed in lecture on Wednesday, Oct. 22, 2014. These problems will not be collected. 1. Find the eigenvalues of the matrix 

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Source URL: hkumath.hku.hk

Language: English - Date: 2014-10-21 20:24:41
24Tree-Structured Statistical Modeling via Convex Optimization James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo and Alan S. Willsky Abstract— We develop a semidefinite-programming-based approach to stochastic mo

Tree-Structured Statistical Modeling via Convex Optimization James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo and Alan S. Willsky Abstract— We develop a semidefinite-programming-based approach to stochastic mo

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Source URL: www.mit.edu

Language: English - Date: 2012-07-29 14:44:51
25Kernel Extrapolation S.V.N. Vishwanathan a Karsten M. Borgwardt b,∗ Omri Guttman a Alex Smola a a Statistical  Machine Learning Program, National ICT Australia,

Kernel Extrapolation S.V.N. Vishwanathan a Karsten M. Borgwardt b,∗ Omri Guttman a Alex Smola a a Statistical Machine Learning Program, National ICT Australia,

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Source URL: www.stat.purdue.edu

Language: English - Date: 2008-09-11 13:00:23
26DIAGONAL AND LOW-RANK MATRIX DECOMPOSITIONS, CORRELATION MATRICES, AND ELLIPSOID FITTING∗ J. SAUNDERSON† , V. CHANDRASEKARAN‡ , P. A. PARRILO† , AND A. S. WILLSKY† Abstract. In this paper we establish links bet

DIAGONAL AND LOW-RANK MATRIX DECOMPOSITIONS, CORRELATION MATRICES, AND ELLIPSOID FITTING∗ J. SAUNDERSON† , V. CHANDRASEKARAN‡ , P. A. PARRILO† , AND A. S. WILLSKY† Abstract. In this paper we establish links bet

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Source URL: www.mit.edu

Language: English - Date: 2012-12-21 13:22:47
27RIGOROUS ENCLOSURES OF ELLIPSOIDS AND DIRECTED CHOLESKY FACTORIZATIONS FERENC DOMES, ARNOLD NEUMAIER ∗

RIGOROUS ENCLOSURES OF ELLIPSOIDS AND DIRECTED CHOLESKY FACTORIZATIONS FERENC DOMES, ARNOLD NEUMAIER ∗

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Source URL: www.mat.univie.ac.at

Language: English - Date: 2011-03-18 11:42:37
28Diagonal and Low-Rank Decompositions and Fitting Ellipsoids to Random Points James Saunderson, Pablo A. Parrilo, Alan S. Willsky Abstract— Identifying a subspace containing signals of interest in additive noise is a ba

Diagonal and Low-Rank Decompositions and Fitting Ellipsoids to Random Points James Saunderson, Pablo A. Parrilo, Alan S. Willsky Abstract— Identifying a subspace containing signals of interest in additive noise is a ba

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Source URL: www.mit.edu

Language: English - Date: 2014-08-14 16:44:12
29MATHHomework 4 This homework will be collected at the end of class on October 8, For each matrix A, find an orthogonal or unitary matrix Q and a diagonal matrix D such that Q∗ AQ = D.  2

MATHHomework 4 This homework will be collected at the end of class on October 8, For each matrix A, find an orthogonal or unitary matrix Q and a diagonal matrix D such that Q∗ AQ = D.  2

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Source URL: hkumath.hku.hk

Language: English - Date: 2014-09-22 23:01:10
30The University of Hong Kong MATHTest # 2 Solutions (Last updated: November 13, 2014) Name:  UID:

The University of Hong Kong MATHTest # 2 Solutions (Last updated: November 13, 2014) Name: UID:

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Source URL: hkumath.hku.hk

Language: English - Date: 2014-11-12 20:17:43