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Eigenvalues and eigenvectors
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141	Tangent Estimation from Point Samples∗ Siu-Wing Cheng† Man-Kwun Chiu‡§ Abstract Let M be an m-dimensional smooth compact manifold embedded in Rd , where m is a constant known to us. Suppose that a dense set of poi Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2016-07-04 16:15:07 Linear algebra Matrix theory Differential geometry Abstract algebra Vectors Eigenvalues and eigenvectors Vector space Orthogonal matrix Tangent space Normal Singular value decomposition Euclidean vector
142	Soft self-assembled nanoparticles with temperature-dependent properties Add to Reading List Source URL: comp-phys.univie.ac.at Language: English - Date: 2016-04-07 02:32:49 Mathematical physics Abstract algebra Eigenvalues and eigenvectors Linear algebra Matrix theory Singular value decomposition
143	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
144	Bifurcations of periodic and chaotic attractors in pinball billiards Add to Reading List Source URL: sistemas.fciencias.unam.mx Language: English - Date: 2011-03-31 15:04:52 Dynamical systems Attractor Nonlinear systems Lyapunov exponent Eigenvalues and eigenvectors Bifurcation theory Symbol Billiard Periodic point Dynamical billiards
145	c 2010 Society for Industrial and Applied Mathematics SIAM J. OPTIM. Vol. 0, No. 0, pp. 000–000 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2010-10-18 16:47:20 Mathematical optimization Operations research Convex optimization Linear algebra Linear programming Duality Eigenvalues and eigenvectors Constrained optimization Algorithm Linear complementarity problem Convex analysis
146	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
147	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
148	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: theory.csail.mit.edu Language: English - Date: 2016-01-16 11:34:23 Linear algebra Lie groups Matrix theory Abstract algebra Non-associative algebras Matrix Determinant Mutation Symmetry in mathematics Eigenvalues and eigenvectors General linear group Symmetric matrix
149	CMBver9-Baran_2P 1..13 Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2015-06-23 04:28:22 Genetics Covariance and correlation Multivariate statistics Population genetics Dimension reduction Principal component analysis Genetic variance Covariance Genome-wide association study Single-nucleotide polymorphism Imputation Eigenvalues and eigenvectors
150	Christiano FINC 520, Spring 2008 Homework 2, due Wednesday, AprilIn class, we discussed the pth order VAR: yt = c + φ1 yt−1 + φ2 yt−2 + ... + φp yt−p + εt , where εt is a white noise with variance-cova Add to Reading List Source URL: faculty.wcas.northwestern.edu Language: English - Date: 2008-04-16 22:51:14 Covariance and correlation Variance Covariance matrix Eigenvalues and eigenvectors Matrix Covariance

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