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Quantitative Operations Research - ZEIT8405 | |||||||||||||||||||||||||||||||||||||||||||||||
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Description This course carries on from OR Methods and trains students on the selection of appropriate techniques by describing the strengths and weaknesses of models and simulation, so that fit for purpose methods are applied to soluble problems. It will cover the algorithms used to solve hard OR problems including linear programming, transportation, assignment, integer programming, computational complexity including theory of NP-completeness, combinatorial optimisation, nonlinear optimisation, dynamic programming, goal programming, multiobjective optimisation, and heuristics.
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