392220 Additional Tutorial: Applied Optimization (Ü) (WiSe 2023/2024)

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The goal is to address importat optimization problems as regards their mathematical formaulation and their efficient solution. In partiuclar concepts which are covered include constraint versus unconstraint optimization, convex optimization, duality, nonlinear optimization, discrete optimization and relaxation. A few important methods are covered including conjugate gradient, quasi Newton methods, interior point methods, Lagrange multipliers and barrier functions, and exemplary global optimization methods such as evolutionary strategies or local search.

Requirements for participation, required level

Programmierkenntnisse (Python oder vergleichbar), Grundlagen Mathematik,

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Subject assignments

Module Course Requirements  
39-Inf-AOpt Applied Optimisation Applied Optimisation Student information
39-Inf-WP-DS Data Science (Basis) Begleitende Übungen Student information
39-Inf-WP-DS-x Data Science (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
39-Inf-WP-KI Künstliche Intelligenz (Basis) Begleitende Übungen Student information
39-Inf-WP-KI-x Künstliche Intelligenz (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
39-Inf-WP-SSC Scientific and Soft-Computing (Basis) Begleitende Übungen Student information
39-Inf-WP-SSC-x Scientific and Soft-Computing (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
39-M-Inf-AI-bas Basics of Artificial Intelligence Basics of Artificial Intelligence: Übung Student information
39-M-Inf-INT-bas Basics of Interaction Technology Basics of Interaction Technology: Übung Student information

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The lecture will be accompanied by combined practical / theoretical exercises and a final exam.

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WS2023_392220@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Friday, October 13, 2023 
Last update times:
Thursday, August 10, 2023 
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Thursday, August 10, 2023 
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Ü / 2
Department
Faculty of Technology
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427624373