BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ALOP - ECPv6.17.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:ALOP
X-ORIGINAL-URL:https://alop.uni-trier.de
X-WR-CALDESC:Events for ALOP
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20170326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20171029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20180325T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20181028T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20190331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20191027T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20180507T160000
DTEND;TZID=Europe/Berlin:20180507T180000
DTSTAMP:20180404T115859Z
CREATED:20180329T074610Z
LAST-MODIFIED:20180404T115859Z
UID:1943-1525708800-1525716000@alop.uni-trier.de
SUMMARY:ALOP-Colloquium with Kerstin Lux
DESCRIPTION:On Monday\, May 7\, 2018\, at 16:00\, Kerstin Lux of Universität Mannheim will join the ALOP-Colloquium and present her recent work entitled “Optimal inflow control in supply systems with uncertain demands.” \nAbstract: \nWe are concerned with optimal control strategies subject to uncertain demands. They\nhave a broad range of applications. Taking uncertainty into account becomes more and\nmore important in many areas. In the context of supply chain management\, a need\nfor control strategies taking these uncertainties into account naturally arises when it\ncomes to production planning. Deviations from the demand actually realized need to\nbe compensated\, which might be very costly and should be avoided. To this end\, we\nconsider different approaches to control the produced amount at a given time to meet\nthe stochastic demand in an optimal way. Supply chains are represented by transport\nequations and stochastic differential equations are used to model the uncertain demand.\nFinally\, the approaches will be compared in a numerical simulation study. \nThe presentation will take place in HS9. \nPlease join us for coffee at 15:45 in E10.
URL:https://alop.uni-trier.de/event/alop-colloquium-with-kerstin-lux/
CATEGORIES:Colloquium
ORGANIZER;CN="Research Training Group ALOP at Trier University":MAILTO:OptimizationDays@uni-trier.de
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180514
DTEND;VALUE=DATE:20180526
DTSTAMP:20180322T151240Z
CREATED:20180322T151240Z
LAST-MODIFIED:20180322T151240Z
UID:1923-1526256000-1527292799@alop.uni-trier.de
SUMMARY:Research collaboration with Prof. Dr. Boris Khoromskij and Dr. Venera Khoromskaia
DESCRIPTION:Prof. Dr. Boris Khoromskij and Dr. Verena Khoromskaia of the Max-Planck-Institute für Mathematik in den Naturwissenschaften are scheduled to visit the RTG ALOP in May 2018 to discuss their recent research. \nPlease check back for further details as they become available.
URL:https://alop.uni-trier.de/event/research-collaboration-with-prof-dr-boris-khoromskij-and-dr-venera-khoromskaia/
LOCATION:Trier University E Building\, Universitätsring 15\, Trier\, 54296\, Germany
CATEGORIES:Scientific Research Collaboration
ORGANIZER;CN="Research Training Group ALOP at Trier University":MAILTO:OptimizationDays@uni-trier.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20180514T160000
DTEND;TZID=Europe/Berlin:20180514T180000
DTSTAMP:20180509T114804Z
CREATED:20180427T124603Z
LAST-MODIFIED:20180509T114804Z
UID:2004-1526313600-1526320800@alop.uni-trier.de
SUMMARY:ALOP-Colloquium with Prof. Partha Lahiri
DESCRIPTION:On Monday\, May 14\, 2018\, at 16:00\,  Prof. Partha Lahiri of the University of Maryland College Park will join the ALOP-Colloquium and present his recent work entitled “Big data in official statistics.” \nAbstract:  The demand for various socio-economic\, transportation\, and health statistics for small geographical areas is steadily increasing at a time when survey agencies are desperately looking for ways to reduce costs to meet fixed budgetary requirements.  In the current survey environment\, the application of standard sample survey methods for small areas\, which require a large sample\, is generally not feasible when considering the costs.    One of the key factors that lead to the success of small area estimation (SAE) methodology is the availability of strong auxiliary variables.  The accessibility of big data from different sources is now bringing new opportunities for statisticians to develop innovative SAE methods.  In this talk\, I will provide an outline of how SAE methods can be adapted to incorporate big data in improving local area statistics.  Then I will discuss my recent collaboration with my UMD colleagues — Professor Cinzia Cirillo of Department of Civil and Environmental Engineering\, and Professor Joseph JaJa of Department of Electrical and Computer Engineering\, and the University of Maryland Institute for Advanced Computer Studies (UMIACS).  Finally\, as an example from our different collaborative research projects\, I will explain how SAE can help solve a seemingly different problem of predicting in real-time traffic by exploiting rich vehicle probe big data. \nThe presentation will take place in HS9. \nPlease join us for coffee at 15:45 in E51.
URL:https://alop.uni-trier.de/event/alop-colloquium-with-prof-partha-lahiri/
LOCATION:Trier University E Building\, Universitätsring 15\, Trier\, 54296\, Germany
CATEGORIES:Colloquium
ORGANIZER;CN="Research Training Group ALOP at Trier University":MAILTO:OptimizationDays@uni-trier.de
END:VEVENT
END:VCALENDAR