Convex Optimization in Communications and Signal Processing (ConvOpt)5 ECTS
(englische Bezeichnung: Convex Optimization in Communications and Signal Processing)
(Prüfungsordnungsmodul: Information Technology - DT)

Lehrveranstaltungen:

• • Convex Optimization in Communications and Signal Processing
    (Vorlesung, 3 SWS, Wolfgang Gerstacker, Mo, 12:15 - 13:45, 0.154-115; Mi, 10:15 - 11:45, 0.15)
  • Tutorial for Convex Optimization in Communications and Signal Processing
    (Übung, 1 SWS, Wolfgang Gerstacker, Zeit und Raum n.V.)

Empfohlene Voraussetzungen:

Signals and Systems, Communications

Inhalt:

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.

Lernziele und Kompetenzen:

Students

• characterize convex sets and functions,
  

• recognize, describe and classify convex optimization problems,
  

• determine the solution of convex optimization problems via the dual function and the KKT conditions,
  

• apply numerical algorithms in order to solve convex optimization problems,
  

• apply methods of convex optimization to different problems in communications and signal processing
  

Literatur:

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

Weitere Informationen:

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

1. Computational Engineering (Rechnergestütztes Ingenieurwesen) (Master of Science)
   (Po-Vers. 2013 | TechFak | Computational Engineering (Rechnergestütztes Ingenieurwesen) (Master of Science) | Wahlpflichtbereich Technisches Anwendungsfach | Information Technology - DT)

Studien-/Prüfungsleistungen:

Convex Optimization in Communications and Signal Processing_ (Prüfungsnummer: 772738)

Prüfungsleistung, Klausur, Dauer (in Minuten): 90, benotet

Anteil an der Berechnung der Modulnote: 100.0 %

Erstablegung: WS 2017/2018, 1. Wdh.: SS 2018

1. Prüfer:

Wolfgang Gerstacker