392219 Applied Optimization (V) (WiSe 2023/2024)

Contents, comment

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,

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Di 10-12 X-E0-236 09.10.2023-02.02.2024
not on: 12/26/23 / 1/2/24

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Subject assignments

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

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

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Registered number: 82 (1)
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WS2023_392219@ekvv.uni-bielefeld.de
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81 Students to be reached directly via email
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Last update basic details/teaching staff:
Monday, August 7, 2023 
Last update times:
Thursday, August 10, 2023 
Last update rooms:
Thursday, August 10, 2023 
Type(s) / SWS (hours per week per semester)
V / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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423408468