Linear algebra

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51Linear and Multilinear Algebra, 1977, Vol. 5, pp © Gordon and Breach Science Publishers Ltd., 1977 Printed in Great Britain This material may be protected by copyright law

Linear and Multilinear Algebra, 1977, Vol. 5, pp © Gordon and Breach Science Publishers Ltd., 1977 Printed in Great Britain This material may be protected by copyright law

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Source URL: www.math.wisc.edu

- Date: 2009-08-10 22:20:17
    52Exact Linear Algebra Algorithmic: Theory and Practice ISSAC’15 Tutorial Cl´ement Pernet Universit´ e Grenoble Alpes, Inria, LIP-AriC

    Exact Linear Algebra Algorithmic: Theory and Practice ISSAC’15 Tutorial Cl´ement Pernet Universit´ e Grenoble Alpes, Inria, LIP-AriC

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    Source URL: www.issac-symposium.org

    - Date: 2015-07-08 04:35:03
      53Assignment 3 Randomization in Numerical Linear Algebra (PCMI) 1. Let A be an n × d matrix with n  d. (i) Give an example of a matrix A whose row leverage scores are all equal. (ii) Give an example of a matrix A whose r

      Assignment 3 Randomization in Numerical Linear Algebra (PCMI) 1. Let A be an n × d matrix with n  d. (i) Give an example of a matrix A whose row leverage scores are all equal. (ii) Give an example of a matrix A whose r

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      Source URL: www.drineas.org

      - Date: 2016-07-02 06:19:59
        54We explore the trade-offs of performing linear algebra in Apache Spark versus the traditional C and MPI approach by examining three widely-used matrix factorizations: NMF (for physical plausibility), PCA (for its ubiquit

        We explore the trade-offs of performing linear algebra in Apache Spark versus the traditional C and MPI approach by examining three widely-used matrix factorizations: NMF (for physical plausibility), PCA (for its ubiquit

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        Source URL: mmds-data.org

        - Date: 2016-06-23 15:50:48
          5572 Linear Algebra in Maple® Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72-1 Vectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72-

          72 Linear Algebra in Maple® Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72-1 Vectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72-

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          Source URL: www.apmaths.uwo.ca

          - Date: 2007-01-30 13:33:24
            56Braided Linear Algebra Advisor: Ebrahim Ebrahim In the theory of quantum groups one studies noncommutative analogues of rings of functions on actual groups. Groups arise naturally as symmetries of objects or spaces; just

            Braided Linear Algebra Advisor: Ebrahim Ebrahim In the theory of quantum groups one studies noncommutative analogues of rings of functions on actual groups. Groups arise naturally as symmetries of objects or spaces; just

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            Source URL: math.ucsb.edu

            - Date: 2015-12-15 10:35:18
              57published in Linear Algebra and its Applications (LAA), Vol. 363, , PERRON-FROBENIUS THEORY FOR COMPLEX MATRICES SIEGFRIED M. RUMP ∗

              published in Linear Algebra and its Applications (LAA), Vol. 363, , PERRON-FROBENIUS THEORY FOR COMPLEX MATRICES SIEGFRIED M. RUMP ∗

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              Source URL: www.ti3.tu-harburg.de

              - Date: 2005-11-21 06:36:27
                58Problem Set 2: Linear algebra and vectors GEOS 626: Applied Seismology, Carl Tape Assigned: January 25, 2016 — Due: February 1, 2016 Last compiled: March 7, 2016 Overview

                Problem Set 2: Linear algebra and vectors GEOS 626: Applied Seismology, Carl Tape Assigned: January 25, 2016 — Due: February 1, 2016 Last compiled: March 7, 2016 Overview

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                Source URL: www.giseis.alaska.edu

                - Date: 2016-03-07 12:23:55