Convex Optimization in Communications and Signal Processing



Zeit/Ort n.V.:

  • Di 12:15-13:45, Raum 01.021
  • Fr 14:15-15:45, Raum 01.021

Studienfächer / Studienrichtungen

  • WPF EEI-MA-INT ab Sem. 1
  • WPF EEI-BA-INT ab Sem. 5
  • WF CME-MA ab Sem. 1
  • WPF MT-MA-BDV ab Sem. 1
  • WPF CE-MA ab Sem. 1
  • WPF BPT-MA-E ab Sem. 1
  • WPF ASC-MA ab Sem. 1

Prerequisites / Organizational information

Signals and Systems, Communications


Convex optimization problems are a special class of mathematical problems which arise in a variety of practical applications. In this course we focus on the theory of convex optimization, corresponding algorithms, and applications in communications and signal processing (e.g. statistical estimation, allocation of resources in communications networks, and filter design). Special attention is paid to recognizing and formulating convex optimization problems and their efficient solution.
The course is based on the textbook "Convex Optimization" by Boyd and Vandenberghe and includes a tutorial in which many examples and exercises are discussed.

Empfohlene Literatur

Boyd, Steven ; Vandenberghe, Lieven: Convex Optimization. Cambridge, UK : Cambridge University Press, 2004

Zusätzliche Informationen

Erwartete Teilnehmerzahl: 15