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DTSTART;TZID=Europe/Berlin:20180605T083000
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DTSTAMP:20180605T112959Z
CREATED:20180322T123945Z
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UID:1911-1528187400-1528797600@alop.uni-trier.de
SUMMARY:Short Course on Parallel Optimization Methods for Time Dependent Problems
DESCRIPTION:Prof. Matthias Heinkenschloss with the Department of Computational and Applied Mathematics\, Rice University in Houston\, Texas is offering a short course on Parallel Optimization Methods for Time Dependent Problems at Trier University on behalf of the Research Training Group on Algorithmic Optimization.  \nThe course will consist of three lectures\, with the tentative lecture schedule to follow soon. \nThe lectures will take place on the following dates and times: \nTuesday\, June 5\, 2018 at 8:30 c.t. in HS 10 \nThursday\, June 7\, 2018 at 8:30 c.t. in HS 9 \nTuesday\, June 12\, 2018 at 8:30 c.t. in HS10 \nPlease refer back to this page for more information as it becomes available. \n 
URL:https://alop.uni-trier.de/event/short-course-on-parallel-optimization-methods-for-time-dependent-problems/
LOCATION:Trier University E Building\, Universitätsring 15\, Trier\, 54296\, Germany
CATEGORIES:Short Course
ORGANIZER;CN="Research Training Group ALOP at Trier University":MAILTO:OptimizationDays@uni-trier.de
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DTSTART;TZID=Europe/Berlin:20180628T160000
DTEND;TZID=Europe/Berlin:20180628T173000
DTSTAMP:20180613T131257Z
CREATED:20180612T062200Z
LAST-MODIFIED:20180613T131257Z
UID:2165-1530201600-1530207000@alop.uni-trier.de
SUMMARY:ALOP-Colloquium with Mehiddin Al-Baali
DESCRIPTION:On Thursday\, June 28\, 2018\, at 16:00 c.t. Prof. Mehiddin Al-Baali\, Department of Mathematics and Statistics\, Sultan Qaboos University\, Muscat\, Oman will present his recent work entitled  \nOn the Damped Technique\, Self-Scaling and their Combination when Introduced to the Broyden Family of Methods for Unconstrained Optimization \nRecently\, we have extended the damped-technique in the modified BFGS method of Powell for constrained optimization to the Broyden family of quasi-Newton methods for unconstrained optimization. Appropriate choices for the damped parameter will be suggested to improve the performance of a restricted class of quasi-Newton methods and enforce convergence of many divergent methods. These properties will be illustrated when applied to a simple quadratic function as well as to a set of standard test problems. It will be shown that the proposed damped choices improve the performance of most quasi-Newton methods substantially (or significantly) in several cases. We will also illustrate the useful features of the self-scaling technique for quasi-Newton methods  and its combination with the above damped technique.  \n. \nThe presentation will take place in HS 9. \nPlease join us for coffee at 15:45 in E10.
URL:https://alop.uni-trier.de/event/alop-colloquium-with-mehiddin-al-baali/
CATEGORIES:Colloquium
ORGANIZER;CN="RTG ALOP at Trier University":MAILTO:ALOP@uni-trier.de
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