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    Random sampling for estimating the performance of fast summations

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    CS-TR-4969.pdf (56.99Kb)
    No. of downloads: 578

    Date
    2010-10-18
    Author
    Srinivasan, Balaji Vasan
    Duraiswami, Ramani
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    Abstract
    Summation of functions of N source points evaluated at M target points occurs commonly in many applications. To scale these approaches for large datasets, many fast algorithms have been proposed. In this technical report, we propose a Chernoff bound based efficient approach to test the performance of a fast summation algorithms providing a probabilistic accuracy. We further validate and use our approach in separate comparisons.
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    http://hdl.handle.net/1903/10976
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    • Technical Reports of the Computer Science Department

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