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Matrix theory
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231	Coding and Cryptography Spring 2014 Tutorial Project #1 Due at the end of class. On Friday, we learned how to decode a linear code using ‘syndromes’. Make sure someone in your working group attended class on Friday, Add to Reading List Source URL: math.colorado.edu Language: English - Date: 2015-10-18 16:52:38 Coding theory Error detection and correction Discrete mathematics Mathematics Hamming Linear code Parity-check matrix Coset leader Noisy-channel coding theorem Hamming code Standard array
232	Matrix Tree Theorems Nikhil Srivastava December 4, 2009 1 Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2012-08-24 09:50:05 Algebra Mathematics Matrix theory Linear algebra Determinant Lie groups LindemannWeierstrass theorem Holomorphic functional calculus
233	Spectral Graph Theory Lecture 16 Preconditioning by Low-Stretch Spanning Trees Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2012-08-24 09:50:05 Algebra Linear algebra Mathematics Numerical linear algebra Matrix theory Operator theory Conjugate gradient method Eigenvalues and eigenvectors Preconditioner Trace Matrix Dissipative operator
234	ALGORITHMIC LINEAR DIMENSION REDUCTION IN THE `1 NORM FOR SPARSE VECTORS A. C. GILBERT, M. J. STRAUSS, J. A. TROPP, AND R. VERSHYNIN Abstract. We can recover approximately a sparse signal with limited noise, i.e, a vecto Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2009-02-03 14:30:47 Digital signal processing Computational complexity theory Matrix Fast Fourier transform Time complexity Mathematics Computer science Theoretical computer science Polynomials
235	Spectral Graph Theory Lecture 23 Quadrature for the Finite Free Convolution Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2015-12-01 11:31:15 Algebra Mathematics Linear algebra Matrices Matrix theory Lie groups Mathematical physics Determinant Diagonalizable matrix Rotation matrix Matrix Symmetric matrix
236	A direct formulation for sparse PCA using semidefinite programming Alexandre d’Aspremont Department of Electrical Engineering and Computer Science University of California, Berkeley, CA 947 Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:28 Algebra Linear algebra Mathematics Matrix theory Multivariate statistics Numerical linear algebra Operations research Sparse PCA Semidefinite programming Principal component analysis Matrix Singular value decomposition
237	Spectral Graph Theory and its Applications out: September 9, 2004 Problem Set 1 Lecturer: Daniel A. Spielman Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2005-06-30 12:02:45 Algebra Mathematics Matrix theory Matrices Linear algebra Singular value decomposition Eigenvalues and eigenvectors Matrix Spectral graph theory Permutation matrix Mutation
238	INVERSE INEQUALITY ESTIMATES WITH SYMBOLIC COMPUTATION ¨ CHRISTOPH KOUTSCHAN, MARTIN NEUMULLER, AND CRISTIAN-SILVIU RADU Add to Reading List Source URL: www.koutschan.de Language: English - Date: 2016-04-29 08:40:41 Algebra Mathematics Matrix theory Linear algebra Determinant Eigenvalues and eigenvectors Symbol Square matrix Matrix Spectral theory of ordinary differential equations
239	Computational Stochastic Modelling for Large-scale Systems: Methods and Applications Rashid Mehmood School of Engineering Swansea University Add to Reading List Source URL: www.cs.stir.ac.uk Language: English - Date: 2010-06-17 07:40:28 Statistics Probability theory Probability Operations research Statistical randomness Stochastic simulation Graph theory Markov models Markov chain Scientific modelling Stochastic Matrix

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