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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-e204b151da973b64212904f4cebdfb3f@cmc.deusto.eus
DTSTART:20220429T083000Z
DTEND:20220429T093000Z
DTSTAMP:20251031T213400Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Robust Protection against Uncertainties in Discrete-Continuous Optimization
DESCRIPTION:Speaker: Prof. Dr. Frauke Liers\nAffiliation: FAU MoD Research Center for Mathematics of Data. Department of Data Science (DDS) Professorship of Optimization under Uncertainty & Data Analysis at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)\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: 530 867 8850 | PIN: 014005\nAbstract. Edging optimization problems against uncertainties is an exciting research area where new methods and algorithms are developing rapidly. One approach consists in determining best possible robust decisions that are feasible regardless of how uncertainties manifest themselves within predefined uncertainty sets.\nIn this talk, we will review some of the recent developments in the field, in particular for discrete-continuous robust optimization problems that often apply reformulation, decomposition as well as approximation approaches. Data-driven methods are on the rise as well. Discrete decisions add another difficulty in algorithmic tractability, both in theory as well as in practice. Together with presenting some approaches, we will also discuss experimental results in realistic application settings.\nThis event on LinkedIn\n
URL:https://cmc.deusto.eus/events-calendar/robust-protection-against-uncertainties-in-discrete-continuous-optimization/
ORGANIZER;CN=FAU DCN-AvH:MAILTO:
CATEGORIES:FAU DCN-AvH Seminar,Seminar/Talk
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