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SUMMARY:Stefano Di Giovacchino (University of L'Aquila)
DTSTART:20240408T111500Z
DTEND:20240408T120000Z
DTSTAMP:20260417T003742Z
UID:cam/22
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/cam/22/">Sto
 chastic backward error analysis: application to Hamiltonian systems and op
 timization algorithms</a>\nby Stefano Di Giovacchino (University of L'Aqui
 la) as part of CAM seminar\n\nLecture held in MV:L14.\n\nAbstract\nBackwar
 d error analysis is a powerful tool in order to capture the long-term beha
 viour of numerical integrators. In this talk\, we address our attention on
  providing a backward error analysis (both in the strong and weak sense) f
 or classes of numerical methods. From one hand\, the attention will be dev
 oted to symplectic methods and Poisson integrators for stochastic Hamilton
 ian and Poisson systems. Here\, we present strategies for deriving stochas
 tic modified equations for the aforementioned integrators and we study the
 m for obtaining long-term estimates on the Hamiltonian errors along the nu
 merical dynamics.\nFrom the other hand\, the weak backward error approach 
 will be developed towards stochastic optimization algorithms\, with the ai
 m of gaining insights of their behaviour.\nThis talk is based on joint res
 earches with Raffaele D'Ambrosio (University of L'Aquila)\, Desmond J. Hig
 ham and Konstantios C. Zygalakis (University of Edinburgh).\n
LOCATION:https://researchseminars.org/talk/cam/22/
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