Abstract Approximate Gaussian Elimination Rasmus Kyng 2017 We show how to perform sparse approximate Gaussian elimination for undirected Laplacian matrices and directed Laplacian matrices. This leads to the simplest kno

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TRA Hybrid GPU-CPU Parallel CM Reordering Algorithm for Bandwidth Reduction of Large Sparse Matrices Ang Li, Radu Serban, Dan Negrut

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Direct Solvers for Sparse Matrices X. Li FebruaryDirect solvers for sparse matrices involve much more complicated algorithms than for dense matrices. The main complication is due to the need for efficient handling

Source URL: crd-legacy.lbl.gov

Sparse Sums of Positive Semidefinite Matrices Marcel K. de Carli Silva∗ Nicholas J. A. Harvey† Cristiane M. Sato‡

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IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 24, NO. 11, NOVEMBERManifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices

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Cache Probabilistic Modeling for Basic Sparse Algebra Kernels involving Matrices with a Non Uniform Distribution  Ram´on Doallo, Basilio B. Fraguela Dept. de Electr´onica e Sistemas Universidade da Coru˜naA Co

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A Appendix A.1 Operations with sparse matrices appendix:sparse

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Microsoft Word - IJIMA03-02.docx

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• Algebra
• Linear algebra
• Mathematics
• Sparse matrices
• Matrices
• Matrix theory
• Matrix
• Band matrix
• Crossbar switch
• Diagonal matrix
• Adjacency matrix

Sparse Matrix-Matrix Multiplication: Applications, Algorithms, and Implementations Organizers: Grey Ballard and Alex Druinsky SIAM Conference on Applied Linear Algebra October 26, 2015

Source URL: www.sandia.gov

• Algebra
• Mathematics
• Linear algebra
• Numerical linear algebra
• Sparse matrices
• Parallel computing
• Matrix multiplication
• Multiplication
• Matrix
• Hypergraph
• Sparse matrix
• Graph partition

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

Source URL: faculty.rmc.edu

• Algebra
• Linear algebra
• Mathematics
• Numerical linear algebra
• Sparse matrices
• Matrix theory
• Matrices
• Singular value decomposition
• Bidiagonalization
• Bidiagonal matrix
• QR algorithm
• Orthogonal matrix