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DTSTART;TZID=Europe/Berlin:20210407T121500
DTEND;TZID=Europe/Berlin:20210407T131500
DTSTAMP:20210308T100955Z
CREATED:20210308T100955Z
LAST-MODIFIED:20210308T100955Z
UID:5360-1617797700-1617801300@alop.uni-trier.de
SUMMARY:ALOP member Marc Harmening to speak during Research Seminar
DESCRIPTION:ALOP member Marc Harmening will speak about his work during the research seminar on April 7\, 2020. The topic will be announced shortly. \nPlease join as via ZOOM at 12:15 . The link will be distributed via Email.
URL:https://alop.uni-trier.de/event/alop-member-marc-harmening-to-speak-during-research-seminar/
CATEGORIES:Presentation
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210419T160000
DTEND;TZID=Europe/Berlin:20210419T170000
DTSTAMP:20210308T095421Z
CREATED:20210308T095421Z
LAST-MODIFIED:20210308T095421Z
UID:5356-1618848000-1618851600@alop.uni-trier.de
SUMMARY:ALOP-Colloquium with Prof. Dr. Tobias Harks\, Augsburg University
DESCRIPTION:On Monday\, April 19\, 2021 at 16:00 c.t. Prof. Dr. Tobias Harks of Augsburg University will present his recent work at our colloquium entitled \n  \nPricing in Resource Allocation Games \nWe consider a basic resource allocation game\, where the players’ strategy spaces are subsets of R^m and cost/utility functions are parameterized by some common vector u \in∈ R^m and\, otherwise\, only depend on the own strategy choice. A strategy of a player can be interpreted as a vector of resource consumption and a joint strategy profile naturally leads to an aggregate consumption vector. Resources can be priced\, that is\, the game is augmented by a price vector \lambda\inλR^m_+ and players have quasi-linear overall costs/utilities meaning that in addition to the original costs/utilities\, a player needs to pay the corresponding price per consumed unit. \n  \nWe investigate the following question: for which aggregated consumption vectors u can we find prices \lambdaλ that induce an equilibrium realizing the targeted consumption profile? For answering this question\, we revisit a well-known duality-based framework and derive several characterizations of the existence of such u and \lambda. We show that the characterization can help to unify parts of several largely independent streams in the literature – tolls in transportation systems\, Walrasian market equilibria\, trading networks\, energy networks and congestion control in communication networks. Besides reproving existing results we establish novel existence results by using methods from polyhedral combinatorics\, global optimization and discrete convexity. \nThe presentation will take place via Zoom. A link will be email prior to the event.\n \nIf you wish to receive a link and invitation to this presentation\, please send an email to shawATuni-trier.de
URL:https://alop.uni-trier.de/event/alop-colloquium-with-prof-dr-tobias-harks-augsburg-university/
CATEGORIES:Colloquium
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DTSTART;TZID=Europe/Berlin:20210426T160000
DTEND;TZID=Europe/Berlin:20210426T170000
DTSTAMP:20210412T160553Z
CREATED:20210412T160553Z
LAST-MODIFIED:20210412T160553Z
UID:5500-1619452800-1619456400@alop.uni-trier.de
SUMMARY:ALOP-Colloquium with Dr. Ritesh Kumar Dubey of SRM University Chennai
DESCRIPTION:On Monday\, April 26\, 2021 at 16:00 c.t.  Dr. Ritesh Kumar Dubey of SRM University Chennai will present his recent work at our colloquium.  \n  \nTitle of the Talk: On numerical diffusion for entropy stable shock capturing schemes for hyperbolic conservation laws \nOne of the fundamental problems associated with the solution of hyperbolic conservation laws is the presence of inevitable discontinuities in it. This poses various challenges for the numerical approximation of such admissible solutions which eventually demand to construct numerical schemes which can yield physically correct non-oscillatory and crisp resolution of these discontinuities in the solution. To address this\, we use entropy stability framework and construct high order non-oscillatory entropy stable fluxes by devising suitable numerical diffusion using three different approaches (i) Non-linear stability (ii) Deep neural network and (iii) Optimization . This talk will give a comparative overview of these approaches along with theoretical and numerical results for benchmark test PDE cases. \n  \nThis presentation will take place via ZOOM. A link will be e-mailed prior to the event.
URL:https://alop.uni-trier.de/event/alop-colloquium-with-dr-ritesh-kumar-dubey-of-srm-university-chennai/
CATEGORIES:Colloquium
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