Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Monte Carlo methods for numerical integration

    Aktivität: Vortrag oder PräsentationVortrag nach Bewerbung und AuswahlScience-to-science

    Beschreibung

    I present recent progress on the numerical integration of multivariate functions using randomized methods. In particular, I talk about the optimal order of such methods for functions with dominating mixed smoothness, and an algorithm that achieves this order. Moreover, I present preliminary results and numerical tests of an algorithm that can be implemented very efficiently, even in high dimensions.
    Zeitraum22 Sep. 2017
    EreignistitelNew perspectives in the theory of function spaces and their applications, September 17-23, 2017, Bedlewo
    VeranstaltungstypKonferenz
    OrtPolenAuf Karte anzeigen

    Wissenschaftszweige

    • 101002 Analysis
    • 101032 Funktionalanalysis

    JKU-Schwerpunkte

    • Computation in Informatics and Mathematics