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Source URL: gauss.cs.ucsb.edu

• Algebra
• Mathematics
• Linear algebra
• Numerical linear algebra
• Parallel computing
• Multiplication
• Matrix theory
• Matrix multiplication algorithm
• Analysis of algorithms
• Matrix multiplication
• Matrix
• Basic Linear Algebra Subprograms

Parallel Sparse Matrix-Vector and Matrix-Transpose-Vector Multiplication Using Compressed Sparse Blocks Aydın Buluç∗

Source URL: gauss.cs.ucsb.edu

A Depth-Five Lower Bound for Iterated Matrix Multiplication∗ Suman K. Bera and Amit Chakrabarti Department of Computer Science, Dartmouth College Hanover, USA {suman.k.bera.gr, amit.chakrabarti}@dartmouth.edu

Source URL: drops.dagstuhl.de

This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOITIT, IEEE Tra

Source URL: cacr.uwaterloo.ca

• Functional analysis
• Matrix
• Module
• Distribution
• Matrix theory
• Matrix multiplication
• Algebra
• Mathematics
• Mathematical analysis

Matrix Multiplication and Graph Algorithms Uri Zwick Tel Aviv University February 2015 Last updated: June 10, 2015

Source URL: www.cs.tau.ac.il

• Multiplication
• Numerical linear algebra
• Binary operations
• Matrix theory
• Matrix multiplication
• Matrix
• Multiplication algorithm
• Strassen algorithm
• Mathematics
• Algebra
• Linear algebra

Application & Enrichment Solutions Application & Enrichment 1G Application & Enrichment 2G Across

Source URL: www.mathusee.com

• Division
• Fraction
• Numbers
• Addition
• Multiplication
• Area
• Quadrilateral
• Rhombus
• Matrix
• Mathematics
• Elementary arithmetic
• Binary operations

Lecture 11 – Fast matrix multiplication Uriel Feige Department of Computer Science and Applied Mathematics The Weizman Institute Rehovot 76100, Israel

Source URL: www.wisdom.weizmann.ac.il

AICS TECHNICAL Report N0Optimization of matrix-vector multiplication for Real-Space Density Functional Theory Code on the K computer

Source URL: www.aics.riken.jp

Unifying and Strengthening Hardness for Dynamic Problems via the Online Matrix-Vector Multiplication Conjecture∗ Monika Henzinger† University of Vienna, Austria Faculty of Computer Science

Source URL: eprints.cs.univie.ac.at

Math: Precalculus Operations on Matrices Objectives Students will be able to: • Perform operations on matrices (addition, scalar multiplication, and matrix multiplication).

Source URL: www.wolframalpha.com