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Matrix theory
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#	Item
341	Entropy of Stabilizer States Mary Beth Ruskai Tufts University and Institute for Quantum Computing, Waterloo Add to Reading List Source URL: mbruskai.info Language: English - Date: 2014-11-13 12:39:53 Information theory Quantum mechanics Quantum information science Philosophy of thermal and statistical physics Thermodynamic entropy Von Neumann entropy Entropy Density matrix Conditional entropy Quantum entanglement Strong Subadditivity of Quantum Entropy Quantum relative entropy
342	Spectral Distribution of Pseudo-random Matrices Vahid Tarokh Harvard University, USA Abstract In the previous century, much work has been done on the spectra of random matrices. However, not much is known about the spect Add to Reading List Source URL: seta2012.uwaterloo.ca Language: English - Date: 2012-02-01 23:18:51 Randomness Statistical randomness Probability theory Random matrices Algorithmic information theory Randomness tests Matrix Random sequence Pseudorandomness Random matrix Exchangeable random variables Circular law
343	SIAM J. MATRIX ANAL. & APPL. Vol. 32, No. 3, pp. 866–901 © 2011 Society for Industrial and Applied Mathematics MINIMIZING COMMUNICATION IN NUMERICAL Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2014-11-26 08:32:37 Numerical linear algebra Matrix theory Linear algebra Sparse matrices Matrices Matrix multiplication Matrix LU decomposition Sparse matrix Parallel computing Determinant Singular value decomposition
344	Permanent V. Determinant: An Exponential Lower Bound Assuming Symmetry J.M. Landsberg and Nicolas Ressayre Texas A&M University and Univ. Lyon I Add to Reading List Source URL: www.math.tamu.edu Language: English - Date: 2016-02-02 13:54:03 Linear algebra Lie groups Matrix theory Algebra Symmetry Matrix Mutation Determinant General linear group Symmetry in mathematics Trace Equivariant map
345	arXiv:math-ph/0507036v2 25 NovRandom discrete Schr¨ odinger operators from Random Matrix Theory Jonathan Breuer 1 , Peter J. Forrester Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-01-07 02:19:08 Mathematical physics Matrix theory Spectral theory Matrices Linear algebra Eigenvalues and eigenvectors Eigenfunction Diagonal matrix Random matrix Matrix Spectrum Symmetric matrix
346	Fast computation of power series solutions of systems of differential equations∗ A. Bostan† F. Chyzak† Add to Reading List Source URL: www.csd.uwo.ca Language: English - Date: 2007-03-04 21:27:23 Algebra Equations Recurrence relation Theory of computation Matrix exponential Matrix Linear differential equation Equation solving Euclidean algorithm Differential equation Polynomial Gaussian elimination
347	Solving structured linear systems with large displacement rank ´ Alin Bostan a,1 Claude-Pierre Jeannerod b Eric Schost c,2 a Algorithms Add to Reading List Source URL: perso.ens-lyon.fr Language: English - Date: 2008-05-23 07:02:51 Matrices Determinants Numerical linear algebra Matrix theory Linear algebra Toeplitz matrix Matrix Cauchy matrix Polynomial interpolation Vandermonde matrix Triangular matrix Invertible matrix
348	Is there really a Jill for every Jack? Determinants of singles‘ success on the partner market Author: M.A. Kevin Schubert Paper Presentation for the Add to Reading List Source URL: www.pairfam.de Language: English - Date: 2015-09-13 05:59:31 Algebra Determinant Linear algebra Matrix theory
349	Spectral Graph Theory Lecture 13 Cayley Graphs Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2012-08-24 09:50:05 Group theory Geometric group theory Algebraic graph theory Cayley graph Expander graph Adjacency matrix Eigenvalues and eigenvectors Abelian group Generating set of a group Regular graph Examples of groups Two-graph
350	Incremental Learning for Robust Visual Tracking ∗ David A. Ross∗ Jongwoo Lim† Ruei-Sung Lin‡ Ming-Hsuan Yang† University of Toronto † Honda Research Institute, USA ‡ Motorola Labs Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2007-08-14 20:46:19 Linear algebra Multivariate statistics Matrix theory Dimension reduction Numerical linear algebra Singular value decomposition Covariance Principal component analysis Normal distribution Kalman filter Linear discriminant analysis Eigenvalues and eigenvectors

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