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    Analysis of the stability and accuracy of the discrete least-squares approximation on multivariate polynomial spaces

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    Type
    Presentation
    Authors
    Migliorati, Giovanni
    Date
    2016-01-05
    Permanent link to this record
    http://hdl.handle.net/10754/624840
    
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    Abstract
    We review the main results achieved in the analysis of the stability and accuracy of the discrete leastsquares approximation on multivariate polynomial spaces, with noiseless evaluations at random points, noiseless evaluations at low-discrepancy point sets, and noisy evaluations at random points.
    Conference/Event name
    Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)
    Additional Links
    http://mediasite.kaust.edu.sa/Mediasite/Play/9a152b47ee684cf0afb552c5b181484a1d?catalog=ca65101c-a4eb-4057-9444-45f799bd9c52
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    Conference on Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)

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