Interpolation

Results: 1400



#Item
51RESTRICTED INTERPOLATION BY MEROMORPHIC INNER FUNCTIONS Alexei Poltoratski∗and Rishika Rupam† 1

RESTRICTED INTERPOLATION BY MEROMORPHIC INNER FUNCTIONS Alexei Poltoratski∗and Rishika Rupam† 1

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Source URL: www.math.tamu.edu

- Date: 2016-01-27 17:45:36
    52TerraNNI: Natural Neighbor Interpolation on a 3D Grid Using a GPU∗ Alex Beutel Thomas Mølhave, Pankaj K. Agarwal

    TerraNNI: Natural Neighbor Interpolation on a 3D Grid Using a GPU∗ Alex Beutel Thomas Mølhave, Pankaj K. Agarwal

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    Source URL: users.cs.duke.edu

    - Date: 2015-07-24 06:57:56
      53On the complexities of multipoint evaluation and interpolation ´ Alin Bostan and Eric Schost ´

      On the complexities of multipoint evaluation and interpolation ´ Alin Bostan and Eric Schost ´

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      Source URL: www.csd.uwo.ca

      - Date: 2004-09-28 09:26:36
        54Data assimilation Polyphemus Training Session June 9, 2009 About Purpose: introduction to optimal interpolation, Kalman filtering and variational data

        Data assimilation Polyphemus Training Session June 9, 2009 About Purpose: introduction to optimal interpolation, Kalman filtering and variational data

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        Source URL: cerea.enpc.fr

        - Date: 2009-06-10 05:26:01
          55IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. XX, NO. X, MARCHFaster Algorithms for Multivariate Interpolation with Multiplicities and

          IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. XX, NO. X, MARCHFaster Algorithms for Multivariate Interpolation with Multiplicities and

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          Source URL: www.csd.uwo.ca

          - Date: 2015-06-25 22:31:39
            565D interpolation to improve azimuthal AVA: A Nordegg case study Azimuthal amplitude versus angle (AVAz) analysis has proved to be an important tool in characterizing fractures. However, the results are sensitive to both

            5D interpolation to improve azimuthal AVA: A Nordegg case study Azimuthal amplitude versus angle (AVAz) analysis has proved to be an important tool in characterizing fractures. However, the results are sensitive to both

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            Source URL: gsa.seg.org

            - Date: 2011-03-01 08:48:14
              57Discrete Wiener Interpolation TM #12 J. P. Lewis Computer Graphics Laboratory New York Institute of Technology

              Discrete Wiener Interpolation TM #12 J. P. Lewis Computer Graphics Laboratory New York Institute of Technology

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              Source URL: scribblethink.org

              - Date: 2008-03-24 23:35:16
                58Dynamic Interpolation Search Revisited  ? Alexis Kaporis1,2 , Christos Makris1 , Spyros Sioutas1 , Athanasios Tsakalidis1,2 , Kostas Tsichlas1 , and Christos Zaroliagis1,2

                Dynamic Interpolation Search Revisited ? Alexis Kaporis1,2 , Christos Makris1 , Spyros Sioutas1 , Athanasios Tsakalidis1,2 , Kostas Tsichlas1 , and Christos Zaroliagis1,2

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                Source URL: students.ceid.upatras.gr

                - Date: 2006-05-15 11:53:15
                  59Spatial Interpolation using Multiple Regression Orlando Ohashi LIAAD - INESC TEC / DCC Faculdade de Ciˆencias - Universidade do Porto Porto, Portugal

                  Spatial Interpolation using Multiple Regression Orlando Ohashi LIAAD - INESC TEC / DCC Faculdade de Ciˆencias - Universidade do Porto Porto, Portugal

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                  Source URL: www.dcc.fc.up.pt

                  - Date: 2013-11-16 06:57:56
                    60Data assimilation Polyphemus Training Session October 31, 2008 About Purpose: introduction to optimal interpolation, Kalman filtering and variational data

                    Data assimilation Polyphemus Training Session October 31, 2008 About Purpose: introduction to optimal interpolation, Kalman filtering and variational data

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                    Source URL: cerea.enpc.fr

                    - Date: 2008-11-26 10:41:00