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Sparse
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#	Item
211	Faster parallel Graph BLAS kernels and new graph algorithms in matrix algebra Aydın Buluç Computa1onal Research Division Berkeley Lab (LBN Add to Reading List Source URL: gauss.cs.ucsb.edu Language: English - Date: 2015-10-13 13:40:37 Graph theory Mathematics Discrete mathematics Matrix Basic Linear Algebra Subprograms Matching Graph Sparse matrix Adjacency matrix Book:Graph Theory
212	LETTER Communicated by Friedrich Sommer A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity Add to Reading List Source URL: fias.uni-frankfurt.de Language: English - Date: 2008-09-09 03:37:37 Nervous system Computational neuroscience Neuroscience Computational statistics Artificial neural network Mathematical psychology Receptive field Biological neuron model Hebbian theory Visual cortex Feature learning Visual tilt effects
213	Microsoft Word - IJIMA03-02.docx Add to Reading List Source URL: www.foibg.com Language: English - Date: 2015-02-02 08:39:28 Algebra Linear algebra Mathematics Sparse matrices Matrices Matrix theory Matrix Band matrix Crossbar switch Diagonal matrix Adjacency matrix
214	Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection Hassan Ghasemzadeh Mohammadi∗ , Pierre-Emmanuel Gaillardon∗ , Majid Yazdani† , Giovanni De Micheli∗ Integra Add to Reading List Source URL: majid.yazdani.me Language: English - Date: 2015-08-19 06:57:43 Software Estimation theory Statistics Machine learning Application software Actuarial science Regression analysis SPICE Pattern recognition Linear regression Structural estimation Semiconductor device modeling
215	Evaluating Problem Difficulty Rankings Using Sparse Student Response Data Ari BADER-NATAL 1 , Jordan POLLACK DEMO Lab, Brandeis University Abstract. Problem difficulty estimates play important roles in a wide variety of Add to Reading List Source URL: aribadernatal.com Language: English - Date: 2016-06-29 00:36:46 Statistics Statistical models Psychometrics Machine learning Educational psychology Estimation theory Item response theory Rasch model Cross-validation Regression analysis SAT
216	Volume xx (200y), Number z, pp. 1–2 Sparse GPU Voxelization of Yarn-Level Cloth Supplementary Material 1. OpenGL and CUDA interacion Add to Reading List Source URL: www.gmrv.es Language: English - Date: 2015-08-05 19:54:59 Index of Abkhazia-related articles Index of immunology articles
217	Norms of random submatrices and sparse approximation Joel A. Tropp 1 Applied & Computational Mathematics, California Institute of Technology, Pasadena, CAReceived ***; accepted after revision +++++ Present Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2008-07-28 20:32:09** Linear algebra Mathematics Matrix Norm
218	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Sparse Preconditioning for Model Predictive Control Knyazev, A.; Malyshev, A. TR2016-046 Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-07-07 12:22:34 Numerical linear algebra Mathematics Preconditioner Mathematical analysis Iterative method Generalized minimal residual method Optimal control Computational science
219	On the Strong Chromatic Index of Sparse Graphs Philip DeOrsey1,6 Jennifer Diemunsch2,6 Michael Ferrara2,6,7 2,6 3,6,8 Add to Reading List Source URL: orion.math.iastate.edu Language: English - Date: 2015-07-03 21:55:58 Graph theory Graph coloring List coloring Edge coloring Planar graph Matching Total coloring
220	EFFICIENT SAMPLING OF SPARSE WIDEBAND ANALOG SIGNALS Moshe Mishali and Yonina C. Eldar Joel A. Tropp Department of Electrical Engineering Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2008-12-10 01:04:55 Digital signal processing Mathematical analysis Mathematics Electrical engineering NyquistShannon sampling theorem Sampling Nyquist rate Bandlimiting Aliasing Nonuniform sampling Discrete Fourier transform Analog-to-digital converter

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