Convex Optimization

Semester:
SS 2016
Type:
Lecture
Lecturer:
Credits:
Lecture/Exercises
Links:
Campus

This lecture gives an (applied) introduction to the widely applicable field of convex optimization. The discussed topics include but are not limited to

  • Convex Sets
  • Convex Functions
  • Duality
  • Problem Modeling and Transformation
  • Optimization Algorithms and Data Structures
  • Sparsity Handling
  • Application Examples

There will be assignments to deepen the knowledge of the lecture by means of theoretical as well as C++ programming exercises.

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