Complexity and Operations Research Methods
Dalarna University
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Pace of study: 50 %
Published education catalogue
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Code: AMI23C
The course will give a firm understanding of tractable problems and how to empirically estimate the computational resources (storage and time) required by an algorithm. Classic algorithms such as simplex method and big M method will be introduced to solve tractable problems. In addition, intractable problems such as integer programming problems are also introduced. The students will explore how classical solution methods such as linear programming and dynamic programming break down in intractable cases. The course will introduce advanced algorithms to solve intractable problems. Students study alternative solution methods such as stochastic and heuristic approximation methods such as tabu search, branch and bound, relaxation, genetic algorithms and simulated annealing.
30 credits second level within the Mainfield of Microdata Analysis
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Dalarna University
Start date:
End date:
Pace of study: 50 %
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Last changed according to the source: 2026-01-27T09:00:11