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Event
Introduction to Operations Reseasrch II [WS232530043]
Lecturers
Organisation
- Stochastische 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 for Digital Economics | Digital Economics (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
- 26.10.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 02.11.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 09.11.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 16.11.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 23.11.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 30.11.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 07.12.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 14.12.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 21.12.2023 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 11.01.2024 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 18.01.2024 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 25.01.2024 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 01.02.2024 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 08.02.2024 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
- 15.02.2024 09:45 - 11:15 - Room: 11.40 Johann-Gottfried-Tulla-Hörsaal
Note
Integer and combinatorial optimization: basic concepts, cutting plane methods, branch-and-bound methods, branch-and-cut methods, heuristic methods.
Nonlinear optimization: basic concepts, optimality conditions, solution methods for convex and nonconvex optimization problems.
Dynamic and stochastic models and methods: Dynamic optimization, Bellman methods, lot-sizing models and dynamic and stochastic models of inventory, queues.
Learning Objectives:
The student
- knows and describes the basic concepts of integer and combinatorial optimization, nonlinear optimization and dynamic optimization,
- knows the methods and models indispensable for a quantitative analysis,
- models and classifies optimization problems and selects appropriate solution procedures to solve simple optimization problems independently,
- validates, illustrates and interprets obtained solutions.