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Sparse
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#	Item
221	Multi-Stage Dantzig Selector Ji Liu, Peter Wonka, Jieping Ye Arizona State University {ji.liu,peter.wonka,jieping.ye}@asu.edu Add to Reading List Source URL: peterwonka.net Language: English - Date: 2011-01-09 20:39:46 Statistics Mathematical analysis Probability Probability distributions Operations research Convex optimization Normal distribution Linear regression Linear programming Sparse approximation
222	ISIT 2003, Yokohama, Japan, June 29 – July 4, 2003 Sparse Data Blocks and Multi-User Channels Edward A. Ratzer Cavendish Laboratory, University of Cambridge Madingley Road, Cambridge CB3 0HE, UK Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2003-06-05 10:39:01 Error detection and correction Coding theory Information theory Discrete mathematics Mathematics Forward error correction Low-density parity-check code Constant-weight code Huffman coding Noisy-channel coding theorem Prefix code Burst error-correcting code
223	Sparse Matrix-Matrix Multiplication: Applications, Algorithms, and Implementations Organizers: Grey Ballard and Alex Druinsky SIAM Conference on Applied Linear Algebra October 26, 2015 Add to Reading List Source URL: www.sandia.gov Language: English - Date: 2015-12-15 18:34:11 Algebra Mathematics Linear algebra Numerical linear algebra Sparse matrices Parallel computing Matrix multiplication Multiplication Matrix Hypergraph Sparse matrix Graph partition
224	Verified solutions of sparse linear systems Takeshi Ogita Division of Mathematical Sciences, Tokyo Woman’s Christian University 2–6–1 Zempukuji, Suginami-ku, Tokyo 167–8585, Japan Add to Reading List Source URL: conf.nsc.ru Language: English - Date: 2012-05-30 00:24:49 Mathematics Numerical analysis Applied mathematics Numerical linear algebra Matrix Academia Interval arithmetic Sparse matrix
225	ON THE CONDITIONING OF RANDOM SUBDICTIONARIES JOEL A. TROPP Abstract. An important problem in the theory of sparse approximation is to identify wellconditioned subsets of vectors from a general dictionary. In most cases, Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2007-09-11 17:01:58 Algebra Mathematics Mathematical analysis Operator theory Linear algebra Matrix Basis Inner product space Partial differential equations Differential forms on a Riemann surface NeumannPoincar operator
226	I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Algebra Mathematics Multivariate statistics Numerical analysis Numerical linear algebra Iterative methods Dimension reduction Principal component analysis Singular value decomposition Stochastic optimization Nonlinear dimensionality reduction Sparse dictionary learning
227	PSBLAS 2.4 & MLD2P4 1.2: Sparse Computations and Iterative Solvers on Parallel Computers PSBLAS 2.4 & Add to Reading List Source URL: people.uniroma2.it Language: English - Date: 2014-10-09 08:41:31 Numerical analysis Numerical linear algebra Mathematics Theoretical computer science Preconditioner Graph partition Basic Linear Algebra Subprograms Sparse matrix Iterative method
228	Computing the Complete CS Decomposition Brian D. Sutton∗ May 20, 2008 Abstract An algorithm for computing the complete CS decomposition of a partitioned unitary matrix is developed. Although the existence of the CS dec Add to Reading List Source URL: faculty.rmc.edu Language: English - Date: 2008-05-20 14:06:05 Algebra Linear algebra Mathematics Numerical linear algebra Sparse matrices Matrix theory Matrices Singular value decomposition Bidiagonalization Bidiagonal matrix QR algorithm Orthogonal matrix
229	COMP 621 Suggested Projects - Fall 2015 Due Dates: • Project descriptions available and signups, Monday Oct 19 to Monday Oct 26 • Project proposal due, Monday Nov 2 (pdf by email) • Project update #1 due, Friday No Add to Reading List Source URL: www.sable.mcgill.ca Language: English - Date: 2015-10-18 19:34:19 Software Computing Array programming languages MATLAB GNU Octave Array data type Array programming For loop Fortran Sparse matrix R Optimizing compiler
230	Chapter 3 Linear Algebra and Matrices The previous chapter was relatively abstract but it sets us up nicely to study the kinds of practical problems from linear algebra that we encounter in statistics and econometrics. Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-24 09:25:50 Algebra Mathematics Linear algebra Matrices Matrix theory Numerical linear algebra Sparse matrices Invertible matrix Matrix Square matrix Determinant Rank

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