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X-ORIGINAL-URL:https://cmc.deusto.eus/
X-WR-CALNAME:cmc.deusto.eus
X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
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BEGIN:VEVENT
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UID:MEC-62c2fbd641a48005a0f7487810055e81@cmc.deusto.eus
DTSTART:20211027T083000Z
DTEND:20211027T093000Z
DTSTAMP:20251031T214100Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Numerical methods for random Helmholtz problem
DESCRIPTION:Speaker: Prof. Dr.  Kai Zhang\nAffiliation: Jilin University (China)\nOrganized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg (Germany)\nZoom meeting link\nMeeting ID: 633 9105 3888 | PIN: 367598\nAbstract. In this talk, we discuss numerical methods for three kinds of random Helmholtz problems. For the random interface grating problems, by using the asymptotic perturbation approach via shape derivative, we estimate the expectation and the variance of the random solution in terms of the magnitude of the perturbation. For the optimal control problems constrained by random Helmholtz equation, we preprocess certain quantities before the ADMM iteration, so that nearly no random variable is in the inner iteration. For the inverse scattering problem, we propose a machine learning method for the data retrieval, which can effectively cope with the reconstruction under limited-aperture and/or phaseless far-field data. Numerical experiments verify the promising features of our schemes.\nThis event on LinkedIn\n
URL:https://cmc.deusto.eus/events-calendar/numerical-methods-for-random-helmholtz-problem/
CATEGORIES:FAU DCN-AvH Seminar,Seminar/Talk
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