General Data | ||||
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Academic program | General Engineering Program | :
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Type d'EC | Classes (LIIAem08ERechOp) | |||
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Status :
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Period :
ACADEMIC SEMESTER |
Education language :
French |
Learning Outcomes |
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This course introduces Operations research as an optimization process on the particular context of graph theory. In this course, we will explain well-known problems of operations research as the shortest path, minimum spanning tree, and maximum flow. We will study how to modeling into graph and which algorithms solve that kind of problem. Five competences will be evaluated in relation to: - Vocabulary and mathematical concepts - Problem modeling - Application of algorithms - Adaptation of a known algorithm - Interpretation of a result |
Content |
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Course outline: - Graphs: definitions - Connectivity - Path problem - Hamitonians paths and heuristic - Minimum spanning tree - Graphs coloration - Maximum flow - Problems raised with large graphs |
Pre-requisites / co-requisites |
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Fundamentals of algorithms: conditions, loops, arrays, lists, trees |
Bibliography |
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- Roseaux, "Exercices et problèmes résolus de recherche opérationnelle", Tome 1, Dunod, Paris 2002, 296p. - M. Gondran, M. Minoux, "Graphes et Algorithmes", Eyrolles, Paris 1995, 588p. - R. Faure, B. Lemaire, C. Picouleau, "Précis de recherche opérationnelle", Dunod, 2000, 520p. |
Assessment(s) | |||
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N° | Nature | Coefficient | Observable objectives |
1 | General assessment on the entire course. - Vocabulary and mathematical concepts - Problem modeling - Application of algorithms - Adaptation of a known algorithm - Interpretation of a result | 1 | Written exam |