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teaching:ft1920:vl:convex [2020/01/17 00:58] ipa [Lecture Notes] |
teaching:ft1920:vl:convex [2020/01/29 22:50] ipa typos |
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| ====== Convex and Nonlinear Numerical Optimization (MM25) ====== | ====== Convex and Nonlinear Numerical Optimization (MM25) ====== | ||
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| + | ===== Exam ===== | ||
| + | <color #ed1c24> | ||
| + | The exam will take place in the **Lecture Hall 2** (HS2) in the **Physics building** (Kirchhoff-Institut für Physik, KIP, INF 227) on **February 14th 2020** at **14:15**. | ||
| + | </color> | ||
| + | |||
| ===== Content ===== | ===== Content ===== | ||
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| ==== Place & Time ==== | ==== Place & Time ==== | ||
| * **Lecture**: Tuesday and Friday from 11-13 in seminar room 6 in the Mathematikon (INF 205) | * **Lecture**: Tuesday and Friday from 11-13 in seminar room 6 in the Mathematikon (INF 205) | ||
| - | * **Exercise class**: Thursday 9-11 in seminar room 7 in the Mathematikon (INF 205), the first exercise class will be on 24th of October. | + | * **Exercise class**: Thursday 9-11 in seminar room 7 in the Mathematikon (INF 205), the first exercise class will be on the 24th of October. |
| ==== Language ==== | ==== Language ==== | ||
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| ==== Target Audience ==== | ==== Target Audience ==== | ||
| - | Students of mathematics and scientific computing that are interested numerical optimization, with a focus on applications to data analysis and machine learning. | + | Students of mathematics and scientific computing that are interested in numerical optimization, with a focus on applications to data analysis and machine learning. |
| ==== Prerequisites ==== | ==== Prerequisites ==== | ||
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| ==== Using Mathematica ==== | ==== Using Mathematica ==== | ||
| Go to the [[https://www.wolfram.com/programming-lab/|Wolfram Programming Lab]] and click on the orange button. | Go to the [[https://www.wolfram.com/programming-lab/|Wolfram Programming Lab]] and click on the orange button. | ||
| - | This brings you to a tutorial notebook. With the file menu in the light grey bar you can create an empty notebook. | + | This brings you to a tutorial notebook. With the file menu in the light grey bar, you can create an empty notebook. |
| - | In the notebook you can paste the code from the code files below. | + | In the notebook, you can paste the code from the code files below. |
| Execute the code with Shift+Enter. | Execute the code with Shift+Enter. | ||
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| {{ :teaching:ft1920:vl:convex:files:coalgorithms-2.pdf |Convex Optimisation Algorithms 2}} \\ | {{ :teaching:ft1920:vl:convex:files:coalgorithms-2.pdf |Convex Optimisation Algorithms 2}} \\ | ||
| {{ :teaching:ft1920:vl:convex:files:conjugationduality.pdf |Conjugation, Duality}} \\ | {{ :teaching:ft1920:vl:convex:files:conjugationduality.pdf |Conjugation, Duality}} \\ | ||
| - | {{ :teaching:ft1920:vl:convex:files:nonconvex.pdf |Nonconvex Optimization (update: Jan 17)}} | + | {{ :teaching:ft1920:vl:convex:files:nonconvex.pdf |Nonconvex Optimization (update: Jan 21)}} |