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--- teaching:ft1920:vl:convex [2020/01/08 19:40]
ipa code for sheet 9
+++ teaching:ft1920:vl:convex [2020/01/17 17:10]
ipa Information about the exam
@@ Line 1: / Line 1: @@
 ====== Convex and Nonlinear Numerical Optimization (MM25) ======
+===== Exam =====
-===== Announcements =====
+<color #ed1c24>
-<color #ed1c24>No lecture on Tue, Nov 5 (due to a conference)</color>
+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>
@@ Line 66: / Line 66: @@
 {{ :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:nonconvex.pdf |Nonconvex Optimization}}
+{{ :teaching:ft1920:vl:convex:files:nonconvex.pdf |Nonconvex Optimization (update: Jan 17)}}
 ===== Exercise Sheets =====
 You need to log in to access the exercise sheets.
@@ Line 85: / Line 87: @@
       - {{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: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}}