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Event

Introduction to Operations Research II [WS222550043]

Type

lecture (V)
Präsenz

Term

WS 22/23

SWS

2+2

Language

Deutsch

Appointments

Links

ILIAS

Lecturers

Prof. Dr. Oliver Stein

Organisation

Kontinuierliche Optimierung

Part of

Brick Introduction to Operations Research I and II | Industrial Engineering and Management (B.Sc.)
Brick Introduction to Operations Research I and II | Economics Engineering (B.Sc.)
Brick Introduction to Operations Research I and II | Information Systems (B.Sc.)
Brick Introduction to Operations Research I and II | Information Engineering and Management (B.Sc.)

Literature

Nickel, Stein, Waldmann: Operations Research, 2. Auflage, Springer, 2014
Hillier, Lieberman: Introduction to Operations Research, 8th edition. McGraw-Hill, 2005
Murty: Operations Research. Prentice-Hall, 1995
Neumann, Morlock: Operations Research, 2. Auflage. Hanser, 2006
Winston: Operations Research - Applications and Algorithms, 4th edition. PWS-Kent, 2004

Appointments

27.10.2022 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
03.11.2022 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
10.11.2022 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
17.11.2022 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
24.11.2022 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
01.12.2022 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
08.12.2022 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
15.12.2022 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
22.12.2022 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
12.01.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
19.01.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
26.01.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
02.02.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
09.02.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
16.02.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal

Note

Integer and Combinatorial Programming: Basic notions, cutting plane metehods, branch and bound methods, branch and cut methods, heuristics.

Nonlinear Programming: Basic notions, optimality conditions, solution methods for convex and nonconvex optimization problems.

Dynamic and stochastic models and methods: dynamical programming, Bellman method, lot sizing models, dyanical and stochastic inventory models, queuing theory.

Learning objectives:

The student

names and describes basic notions of integer and combinatorial optimization, nonlinear programming, and dynamic programming,
knows the indispensable methods and models for quantitative analysis,
models and classifies optimization problems and chooses the appropriate solution methods to solve optimization problems independently,
validates, illustrates and interprets the obtained solutions.