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Seminar by Enrique Delgado Ávila
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    :bdg-primary-line:`Speaker`

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        Enrique Delgado Ávila (Universidad de Sevilla)

    :bdg-primary-line:`Title`

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        A posteriori error estimators for the Greedy algorithm in Reduced Basis Method

    :bdg-primary-line:`Date`

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        * April 02, 2024 16:00 CEST+0200 (Europe/Rome)
        * April 02, 2024 10:00 EDT-0400 (US/Eastern)
        * April 02, 2024 09:00 CDT-0500 (US/Central)
        * April 02, 2024 07:00 PDT-0700 (US/Pacific)

    :bdg-primary-line:`Abstract`

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        In this talk we adress different approaches for "a posteriori" error
        estimators for the Greedy algorithm. We deal with LES models for which
        we construct a posteriori error estimators by two different approaches.
        On one hand, we consider the classical Brezzi-Rappaz-Raviart theory for
        non-linear operators in order to construct the a posteriori error
        estimator. On the other hand, we consider a novel approach, in which the
        a posteriori error estimator is based on the Kolmogorov energy cascade
        theory. We present numerical results for different test cases where we
        show the reliability of both kind of estimators.

    :bdg-primary-line:`Recording`

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        Watch the recording on `our YouTube channel <https://www.youtube.com/watch?v=kHAMXSkMc6c>`_.