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Second Level Degree in Mathematics

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OPTIMIZATION - 6 CFU

Teacher

Scheduled Period

I Year - 2 Semester | 28/02/2022 - 11/06/2022

Hours: 48 (48 lezione)

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Prerequisites

Linear programming.

Target skills and knowledge

Knowledge in constrained optimzation, with emphasis on Integer linear programming.

Examination methods

Written exam.

Assessment criteria

Students are expected to achieve a full understanding of the theoretical notions presented in this course and to be able to use this knowledge to solve problems.

Course contents

Polyhedra and linear inequalities:
- Fourier's method;
- Minkowski-Weyl's theorem;
- recession cone;
- faces and unicity of the representation;
- projections.

Ideal formulations:
- total unimodularity;
- directed graphs, flows and paths;
- matchings;
- minimum spanning trees;
- Meyer's theorem;
- union of polyhedra.

Valid inequalities for integer programs;
- Chvátal-Gomory inequalities;
- split inequalities.

Planned learning activities and teaching methods

Lessons and exercises.

Additional notes about suggested reading

Textbooks (and optional supplementary readings)

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