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Published education catalogue

Complexity and Operations Research Methods

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

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.

Entry requirements

30 credits second level within the Mainfield of Microdata Analysis

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

Source and updates

Skolverket Susa-navet

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Published: .

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-01-27T09:00:11