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Optimisation linéaireMathématiques et Informatique 6 (MRI)

FISE MRI Semester 6 Common Core Machine translation

Linear Optimization

Teaching unit Mathematics and Computer Science 6 · M06T_MIN2
10ECTS (EU)
2Coefficient
21:20Hours

Séquencement

C TD C TD C TD C TD C TD C TD C TD C TD

Learning objectives

Give a general and simplified presentation to familiarize yourself with principles of linear optimization.

The techniques presented result in simple methods of simplexe type.

Prerequisites

ModuleTeaching unitSemester
Mathematics 4.3PO STI 2S4
Mathematics 1.1Basic Sciences 1S1
Mathematics 1.2Basic Sciences 1S1

The resolution of linear systems and matrix calculations.

Program

Introduction, Linear programming, Graphic resolution, Duality in linear programming, Bases and basic solutions, Dictionaries, Simplex algorithm, Simplex algorithm: phase I, Dual algorithm of the simplex, Post optimization and sensitivity analysis, Branch and Bound.

Assessment

Monitoring table duty, non-programmable calculator and a double-sided A4 sheet are allowed.

References

G.B. Dantzig (1990). Origins of the simplex method. In G. Nash, Editor, A History of Scientific Computing, ACM Press Hist. Ser., pages 141–151. ACM Press, Reading, MA, USA.

K.G. Murty (1983). Linear programming. John Wiley & Sons Inc., New York. (ISBN 0-471-09725-X). MR 720547.

Mr. Padberg (1999). Linear Optimization and Extensions, second edition, Springer-Verlag.

Skills

1
Ref.VerbDescriptionLevel
C3_2calculatealgorithm2