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

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

Source URL: conf.nsc.ru

• Mathematics
• Numerical analysis
• Applied mathematics
• Numerical linear algebra
• Matrix
• Academia
• Interval arithmetic
• Sparse matrix

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,

Source URL: users.cms.caltech.edu

• Algebra
• Mathematics
• Mathematical analysis
• Operator theory
• Linear algebra
• Matrix
• Basis
• Inner product space
• Partial differential equations
• Differential forms on a Riemann surface
• NeumannPoincar operator

PSBLAS 2.4 & MLD2P4 1.2: Sparse Computations and Iterative Solvers on Parallel Computers PSBLAS 2.4 &

Source URL: people.uniroma2.it

• Numerical analysis
• Numerical linear algebra
• Mathematics
• Theoretical computer science
• Preconditioner
• Graph partition
• Basic Linear Algebra Subprograms
• Sparse matrix
• Iterative method

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

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

Source URL: www.sable.mcgill.ca

• Software
• Computing
• Array programming languages
• MATLAB
• GNU Octave
• Array data type
• Array programming
• For loop
• Fortran
• Sparse matrix
• R
• Optimizing compiler

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.

Source URL: johnstachurski.net

• Algebra
• Mathematics
• Linear algebra
• Matrices
• Matrix theory
• Numerical linear algebra
• Sparse matrices
• Invertible matrix
• Matrix
• Square matrix
• Determinant
• Rank

ACM Communications in Computer Algebra, TBA TBA LU Factoring of Non-Invertible Matrices D. J. Jeffrey

Source URL: www.apmaths.uwo.ca

• Algebra
• Linear algebra
• Mathematics
• Matrices
• Matrix theory
• Numerical linear algebra
• Sparse matrices
• Matrix
• Identity matrix
• Invertible matrix
• Triangular matrix
• Determinant

Language, Cognition and Neuroscience ISSN: PrintOnline) Journal homepage: http://www.tandfonline.com/loi/plcp21 Recognising a zebra from its stripes and the stripes from “zebra”: the role of

Source URL: sapir.psych.wisc.edu