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Module Number:
| 14082
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| Module Title: | Advanced Topics of Differentiable Optimization |
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Fortgeschrittene Themen der differenzierbaren Optimierung
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| Department: |
Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
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| Responsible Staff Member: | -
Prof. Dr. rer. nat. habil. Wachsmuth, Gerd
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| Language of Teaching / Examination: | English |
| Duration: | 1 semester |
| Frequency of Offer: |
On special announcement
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| Credits: |
6
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| Learning Outcome: | After successfully completing the module, students have in-depth knowledge in the field of differentiable optimization. They are able to create and evaluate different formulations of a problem. They also are able to select and evaluate suitable methods. |
| Contents: | In-depth study of the topics from module 13392 Differenzierbare Optimierung or 14356 Differentiable Optimization, e.g.
- Theory and numerics of special optimization methods
- Theory and numerics of infinite-dimensional problems
- Topics from optimal control
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| Recommended Prerequisites: | Knowledge of the content of the modules
- 13862: Optimierung und Operations Research
- 13392: Differenzierbare Optimierung or 14356 Differentiable Optimization
and knowledge of multidimensional analysis, e.g.
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| Mandatory Prerequisites: | None |
| Forms of Teaching and Proportion: | -
Lecture
/ 3 Hours per Week per Semester
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Exercise
/ 1 Hours per Week per Semester
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Self organised studies
/ 120 Hours
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| Teaching Materials and Literature: | - Nocedal, Wright: Numerical Optimization, 2006
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| Module Examination: | Final Module Examination (MAP) |
| Assessment Mode for Module Examination: | - Oral examination, 30 min. OR
- Written examination, 120 min. (with high number of participants)
In the first lecture it will introduced, if the examination will organized in written or oral form. |
| Evaluation of Module Examination: | Performance Verification – graded |
| Limited Number of Participants: | None |
| Part of the Study Programme: | |
| Remarks: | - Study programme Mathematics M.Sc.: Compulsory elective module in complex „Optimization“
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| Module Components: | - Lecture: Advanced Topics of Differentiable Optimization
- Exercise to the lecture
- Related examination
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| Components to be offered in the Current Semester: | |
