Second Level Degree in Mathematics
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OPERATIONS RESEARCH - 8 CFU
Teacher
Scheduled Period
I Year - 1 Semester | 04/10/2021 - 15/01/2022
Hours: 64 (16 laboratorio, 48 lezione)
Prerequisites
Basic knowledge in linear programming theory
Target skills and knowledge
Learning:
- how to build and use mathematical models for decision support
- how to use software tools for optimization
Examination methods
To be defined.
Assessment criteria
The student has to prove his/her understanding of the theoretical results and the algorithms presented in the course, and his/her capability to solve exercises.
Course contents
- Basics of linear programming
- Integer linear programming models
- Methods for integer linear programming
(branch-and-bound, cutting planes, column generation)
- Totally unimodular matrices.
- Nonlinear programming models
- Methods for nonlinear programming
- Software tools for optimization
Planned learning activities and teaching methods
- Lectures, including exercises
- Lab sessions
Additional notes about suggested reading
- Notes written by the lecturer
- Books:
M. Fischetti, Lezioni di Ricerca Operativa, Edizioni Libreria Progetto.
L. Grippo, M. Sciandrone, Metodi di ottimizzazione per la programmazione non vincolata, Springer.