CRD

Results: 1989



#Item
41レファレンス協同データベース事業ブックカバー

レファレンス協同データベース事業ブックカバー

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Source URL: crd.ndl.go.jp

- Date: 2015-08-13 02:03:19
    42Microsoft Word - 開催要項.docx

    Microsoft Word - 開催要項.docx

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    Source URL: crd.ndl.go.jp

    Language: Japanese - Date: 2018-06-05 04:09:02
      43Microsoft Word - Description_of_ASEC_monitors_data_Final.doc

      Microsoft Word - Description_of_ASEC_monitors_data_Final.doc

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      Source URL: www.crd.yerphi.am

      Language: English - Date: 2011-10-29 04:30:11
        44CRD: Fast Co-clustering on Large Datasets Utilizing Sampling-Based Matrix Decomposition Feng Pan, Xiang Zhang, and Wei Wang Dept. of Computer Science, University of North Carolina at Chapel Hill Chapel Hill, NC, US

        CRD: Fast Co-clustering on Large Datasets Utilizing Sampling-Based Matrix Decomposition Feng Pan, Xiang Zhang, and Wei Wang Dept. of Computer Science, University of North Carolina at Chapel Hill Chapel Hill, NC, US

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        Source URL: web.cs.ucla.edu

        Language: English - Date: 2008-07-14 23:41:34
          45レファレンス協同データベース事業ブックカバー

          レファレンス協同データベース事業ブックカバー

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          Source URL: crd.ndl.go.jp

          - Date: 2015-08-13 02:03:33
            46SuperLU Users’ Guide∗ Xiaoye S. Li† Piyush Saok James W. Demmel‡

            SuperLU Users’ Guide∗ Xiaoye S. Li† Piyush Saok James W. Demmel‡

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            Source URL: crd-legacy.lbl.gov

            - Date: 2016-03-10 17:45:16
              47SIAM J. MATRIX ANAL. APPL. Vol. 20, No. 3, pp. 720–755 c 1999 Society for Industrial and Applied Mathematics °

              SIAM J. MATRIX ANAL. APPL. Vol. 20, No. 3, pp. 720–755 c 1999 Society for Industrial and Applied Mathematics °

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              Source URL: crd-legacy.lbl.gov

              - Date: 2007-06-29 18:56:22
                48CRD_Designer/Brand Mngt Assoc_Job_Post_2018.indd

                CRD_Designer/Brand Mngt Assoc_Job_Post_2018.indd

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                Source URL: chadrobertsdesign.com

                - Date: 2018-03-26 15:30:00
                  49Direct 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
                    50PARALLEL SYMBOLIC FACTORIZATION FOR SPARSE LU WITH STATIC PIVOTING L. GRIGORI1 1  J.W. DEMMEL2

                    PARALLEL SYMBOLIC FACTORIZATION FOR SPARSE LU WITH STATIC PIVOTING L. GRIGORI1 1 J.W. DEMMEL2

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                    Source URL: crd-legacy.lbl.gov

                    - Date: 2007-08-17 21:51:18