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teaching:ft1920:vl:convex [2020/01/21 12:26] ipa [Lecture Notes] |
teaching:ft1920:vl:convex [2020/01/30 22:29] ipa |
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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 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:uebungsblatt12.pdf | Exercise Sheet 12}} | - {{teaching:ft1920:vl:convex:files:uebungsblatt12.pdf | Exercise Sheet 12}} | ||
- {{teaching:ft1920:vl:convex:files:data_exercise_sheet_12.zip | Data}} | - {{teaching:ft1920:vl:convex:files:data_exercise_sheet_12.zip | Data}} | ||
+ | - {{teaching:ft1920:vl:convex:files:12_nonnegativematrixfactorisation.pdf | Mathematica code for nonnegative matrix factorization}} | ||
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