Pankaj K. Agarwal

Results: 85



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21An Efficient Algorithm for Euclidian 2-Center with Outliers∗ Pankaj K. Agarwal† Jeff M. Phillips‡  Abstract

An Efficient Algorithm for Euclidian 2-Center with Outliers∗ Pankaj K. Agarwal† Jeff M. Phillips‡ Abstract

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Source URL: www.cs.duke.edu

Language: English - Date: 2011-04-05 22:51:11
22Efficient Sensor Placement for Surveillance Problems⋆ Pankaj K. Agarwal, Esther Ezra, and Shashidhara Ganjugunte Dept. of Comp. Sci., Duke University, Durham, NCAbstract. We study the problem of covering a

Efficient Sensor Placement for Surveillance Problems⋆ Pankaj K. Agarwal, Esther Ezra, and Shashidhara Ganjugunte Dept. of Comp. Sci., Duke University, Durham, NCAbstract. We study the problem of covering a

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Source URL: www.cims.nyu.edu

Language: English - Date: 2009-09-24 16:12:25
23Cache-Oblivious Data Structures for Orthogonal Range Searching Pankaj K. Agarwal∗ Lars Arge†

Cache-Oblivious Data Structures for Orthogonal Range Searching Pankaj K. Agarwal∗ Lars Arge†

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Source URL: www.cs.swarthmore.edu

Language: English - Date: 2003-09-17 11:15:54
24An Improved Algorithm for Computing the Volume of the Union of Cubes ∗ Pankaj K. Agarwal Department of Computer Science

An Improved Algorithm for Computing the Volume of the Union of Cubes ∗ Pankaj K. Agarwal Department of Computer Science

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Source URL: www.cs.duke.edu

Language: English - Date: 2011-05-25 21:09:39
    25A Mergeable Summaries Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, and Ke Yi  We study the mergeability of data summaries. Informally speaking, mergeability requires that, given two

    A Mergeable Summaries Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, and Ke Yi We study the mergeability of data summaries. Informally speaking, mergeability requires that, given two

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    Source URL: www.cs.utah.edu

    Language: English - Date: 2013-06-30 22:33:39
    26On Polyhedra Induced by Point Sets in Space Pankaj K. Agarwal   Ferran Hurtado

    On Polyhedra Induced by Point Sets in Space Pankaj K. Agarwal  Ferran Hurtado

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    Source URL: www.cs.duke.edu

    Language: English - Date: 2011-04-05 22:51:26
    27Computational Geometry–127  Cylindrical static and kinetic binary space partitions Pankaj K. Agarwal a,∗,1 , Leonidas J. Guibas b,2 , T.M. Murali c,3 , Jeffrey Scott Vitter a,4 a Center for Geometric Co

    Computational Geometry–127 Cylindrical static and kinetic binary space partitions Pankaj K. Agarwal a,∗,1 , Leonidas J. Guibas b,2 , T.M. Murali c,3 , Jeffrey Scott Vitter a,4 a Center for Geometric Co

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    Source URL: www.cs.duke.edu

    - Date: 2011-04-05 22:51:19
      28CPS296.2 Geometric Optimization  February 27, 2007 Lecture 14: k-center Problem Lecturer: Pankaj K. Agarwal

      CPS296.2 Geometric Optimization February 27, 2007 Lecture 14: k-center Problem Lecturer: Pankaj K. Agarwal

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      Source URL: www.cs.duke.edu

      - Date: 2007-04-18 18:12:01
        29Robust Shape Fitting via Peeling and Grating Coresets∗ Pankaj K. Agarwal† Sariel Har-Peled‡  Hai Yu§

        Robust Shape Fitting via Peeling and Grating Coresets∗ Pankaj K. Agarwal† Sariel Har-Peled‡ Hai Yu§

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        Source URL: www.cs.duke.edu

        - Date: 2007-03-20 12:30:36
          30A Near-Linear Constant-Factor Approximation for Euclidean Bipartite Matching?∗ Pankaj K. Agarwal† ABSTRACT In the Euclidean bipartite matching problem, we are given a set R

          A Near-Linear Constant-Factor Approximation for Euclidean Bipartite Matching?∗ Pankaj K. Agarwal† ABSTRACT In the Euclidean bipartite matching problem, we are given a set R

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          Source URL: www.cs.duke.edu

          - Date: 2011-04-05 22:51:12