BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Computational Optimisation Group - ECPv6.15.11//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Computational Optimisation Group
X-ORIGINAL-URL:http://optimisation.doc.ic.ac.uk
X-WR-CALDESC:Events for Computational Optimisation Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20120101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20130306T150000
DTEND;TZID=UTC:20130306T150000
DTSTAMP:20260503T011448
CREATED:20170124T102144Z
LAST-MODIFIED:20170124T102144Z
UID:587-1362582000-1362582000@optimisation.doc.ic.ac.uk
SUMMARY:Seminar: OR and Optimization under Uncertainty using R
DESCRIPTION:Title: OR and Optimization under Uncertainty using RSpeaker: Dr. Ronald Hochreiter Affiliation: WU Vienna University of Economics and Business Location: Room 218 Huxley BuildingTime: 3:00pm \nAbstract. The statistical computing package R is well-known in the Statistics community as well as in the Data Science and Business Analytics community\, however Operations Researchers usually use MatLab and Python to solve their problems or are even using C++/Java directly to interfere with optimization solvers. In this talk\, we will outline the convenience of using R for dealing with OR tasks by solving Optimization under Uncertainty problems\, especially problems arising in the area of Stochastic Programming applied to Finance. \nAbout the speaker. Ronald Hochreiter is Assistant Professor at the WU Vienna University of Economics and Business and Visiting Professor at the University of Bergamo. His research interests includes Operations Research (Optimization under Uncertainty) as well as Data Science and Business Analytics. Furthermore he is consultant for various companies in Austria.
URL:http://optimisation.doc.ic.ac.uk/event/seminar-or-and-optimization-under-uncertainty-using-r/
END:VEVENT
END:VCALENDAR