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teaching:ft1920:vl:convex [2020/01/09 16:36] ipa |
teaching:ft1920:vl:convex [2020/01/17 00:58] ipa [Lecture Notes] |
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| ====== Convex and Nonlinear Numerical Optimization (MM25) ====== | ====== Convex and Nonlinear Numerical Optimization (MM25) ====== | ||
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| - | ===== Announcements ===== | ||
| - | <color #ed1c24>No lecture on Tue, Nov 5 (due to a conference)</color> | ||
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| ===== Content ===== | ===== Content ===== | ||
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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}} | + | {{ :teaching:ft1920:vl:convex:files:nonconvex.pdf |Nonconvex Optimization (update: Jan 17)}} |
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| - {{teaching:ft1920:vl:convex:files:9_StochasticGradientDescent.pdf | Mathematica code for visualizing the stochastic gradient descent for a logistic loss classifier}} | - {{teaching:ft1920:vl:convex:files:9_StochasticGradientDescent.pdf | Mathematica code for visualizing the stochastic gradient descent for a logistic loss classifier}} | ||
| - {{teaching:ft1920:vl:convex:files:uebungsblatt10.pdf | Exercise Sheet 10}} | - {{teaching:ft1920:vl:convex:files:uebungsblatt10.pdf | Exercise Sheet 10}} | ||
| - | - Exercise sheet 11 will appear in the coming days | + | - {{teaching:ft1920:vl:convex:files:uebungsblatt11.pdf | Exercise Sheet 11}} |
| + | - {{teaching:ft1920:vl:convex:files:uebungsblatt12.pdf | Exercise Sheet 12}} | ||
| + | - {{teaching:ft1920:vl:convex:files:data_exercise_sheet_12.zip | Data}} | ||