Matrices

Results: 2768



#Item
71Stochastic Subsampling for Factorizing Huge Matrices Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux To cite this version: Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux. Stochastic Subsa

Stochastic Subsampling for Factorizing Huge Matrices Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux To cite this version: Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux. Stochastic Subsa

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Source URL: hal.archives-ouvertes.fr

- Date: 2018-03-29 10:53:38
    72Selection from heaps, row-sorted matrices and X + Y using soft heaps arXiv:1802.07041v1 [cs.DS] 20 FebHaim Kaplan

    Selection from heaps, row-sorted matrices and X + Y using soft heaps arXiv:1802.07041v1 [cs.DS] 20 FebHaim Kaplan

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    Source URL: arxiv.org

    - Date: 2018-02-20 20:29:32
      73TRA Hybrid GPU-CPU Parallel CM Reordering Algorithm for Bandwidth Reduction of Large Sparse Matrices Ang Li, Radu Serban, Dan Negrut

      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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      Source URL: sbel.wisc.edu

      - Date: 2015-05-24 17:14:10
        74Direct 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

        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

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        Source URL: crd-legacy.lbl.gov

        - Date: 2018-02-05 12:37:41
          75MATRICES: MORE INVERSES 5 minute review. Remind students how to compute the cofactors Aij = (−1)i+j det(Mij ), where Mij is the matrix obtained from A by deleting row i and column j. The adjoint of A is then defined t

          MATRICES: MORE INVERSES 5 minute review. Remind students how to compute the cofactors Aij = (−1)i+j det(Mij ), where Mij is the matrix obtained from A by deleting row i and column j. The adjoint of A is then defined t

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          Source URL: engmaths.group.shef.ac.uk

          - Date: 2017-08-24 06:17:44
            76MATRICES: MATRIX MULTIPLICATION 5 minute review. Remind students how to multiply matrices (including that in AB, A must be m × n, B must be n × p, and the result is m × p). Class warm-up. Explain how a 2 × 2 matrix

            MATRICES: MATRIX MULTIPLICATION 5 minute review. Remind students how to multiply matrices (including that in AB, A must be m × n, B must be n × p, and the result is m × p). Class warm-up. Explain how a 2 × 2 matrix

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            Source URL: engmaths.group.shef.ac.uk

            - Date: 2017-08-24 06:17:44
              77Learning Structured Probability Matrices ! Qingqing Huang 2016 February Laboratory for

              Learning Structured Probability Matrices ! Qingqing Huang 2016 February Laboratory for

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              Source URL: qingqinghuang.github.io

              - Date: 2016-10-28 18:04:10
                78More refined enumerations of alternating sign matrices Ilse Fischer∗ Dan Romik† April 7, 2009

                More refined enumerations of alternating sign matrices Ilse Fischer∗ Dan Romik† April 7, 2009

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                Source URL: www.math.ucdavis.edu

                - Date: 2014-02-10 20:43:59
                  79MATRICES: SYSTEMS OF EQUATIONS AND GAUSSIAN ELIMINATION 5 minute review. Remind students about the different types of systems of equations: homogeneous versus non-homogeneous, and singular versus non-singular. Recall how

                  MATRICES: SYSTEMS OF EQUATIONS AND GAUSSIAN ELIMINATION 5 minute review. Remind students about the different types of systems of equations: homogeneous versus non-homogeneous, and singular versus non-singular. Recall how

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                  Source URL: engmaths.group.shef.ac.uk

                  - Date: 2017-03-23 05:52:18
                    80MATRICES: DETERMINANTS 5 minute review. Remind students how to compute determinants (both 2 × 2 and 3 × 3). In the 3 × 3 case, explain that you can use different rows or columns. As an example, you could show that |A

                    MATRICES: DETERMINANTS 5 minute review. Remind students how to compute determinants (both 2 × 2 and 3 × 3). In the 3 × 3 case, explain that you can use different rows or columns. As an example, you could show that |A

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                    Source URL: engmaths.group.shef.ac.uk

                    - Date: 2017-08-24 06:17:44