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June 2016

Short Course on Reduced Order Work Models

21. June 2016 - 30. June 2016

Prof. Matthias Heinkenschloss with the Department of Computational and Applied Mathematics, Rice University in Houston, Texas is offering a short course on Reduced Order Work Models at Trier University on behalf of the Research Training Group on Algorithmic Optimization. The following is an outline of the short course:Many applications require the repeated solution of partial differential equations (PDEs) for different input parameters or even the solution of optimization problems governed by PDEs. These tasks can be computationally expensive, sometimes prohibitively expensive…

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June 2018

Short Course on Parallel Optimization Methods for Time Dependent Problems

5. June 2018 / 8:30 - 12. June 2018 / 10:00
Trier University E Building, Universitätsring 15
Trier, 54296 Germany
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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.  The course will consist of three lectures, with the tentative lecture schedule to follow soon. The lectures will take place on the following dates and times: Tuesday, June 5, 2018 at 8:30 c.t. in HS 10 Thursday, June…

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May 2019

Short Course on Decomposition Based Methods for PDE Constrained Optimization

28. May 2019 / 8:30 - 6. June 2019 / 10:00
Trier University, E Building, Universitätsring 15
Trier, Germany
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Prof. Matthias Heinkenschloss with the Department of Computational and Applied Mathematics, Rice University in Houston, Texas is offering a short course on Decomposition Based Methods for PDE Constrained Optimization at Trier University on behalf of the Research Training Group on Algorithmic Optimization.  The course will consist of three lectures, with the tentative lecture schedule to follow soon. The lectures will take place on the following dates and times: Tuesday, May 28, 2019 at 8:30 in HS 9 Tuesday, June 4,…

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November 2019

Short Course on Tensor Numerical Methods in Scientific Computing

18. November 2019 / 12:00 - 6. December 2019 / 12:00

Prof. Dr. Boris Khoromskij   with the assistance of Dr. Venera Khoromskaia is offering a short course on Tensor Numerical Methods in Scientific Computing at Trier University on behalf of the Research Training Group on Algorithmic Optimization.  The course will consist of several two hour lectures as follows: Monday,                           18 Nov 2019                   12:00 – 14:00                                                E 52 Tuesday,                          19 Nov 2019                   10:00 – 12:00                                                E 45 Wednesday,                     20 Nov 2019                   14:00 – 16:00                                              HS 10 Thursday,                        …

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GUT Course scheduled for November 25- 26, 2019

25. November 2019 / 12:00 - 26. November 2019 / 17:00
Trier University, E Building, Universitätsring 15
Trier, Germany
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Dr. Michael Mende with the University of Konstanz, Germany is scheduled to teach a course on good scientific practice to the students of the Research Training Group on November 25 and 26, 2019.  The event will take place in room V302.

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January 2020

Short course on the Introduction to Mixed-Integer Nonlinear Optimization

January 29 / 14:00 - February 18 / 17:15

Prof. Dr. Martin Schmidt, a Principal Investigator of the Research Training Group on Algorithmic Optimization, is offering a short course on the Introduction to Mixed-Integer Nonlinear Optimization. The course will consist of 4 x 2  lectures of 90 minutes each on the following dates and times: Wednesday,                     21 January 2020                     14:00 – 17:15                                              HS 10 Wednesday,                      5 February 2020                    14:00 – 17:15                                              HS 10 Wednesday,                     12 February 2020                   14:00 –…

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