Complements of Operating Research
A.Y. 2024/2025
Learning objectives
The course aims to broaden the foundations of mathematical programming. The problems of nonlinear optimization will be addressed and the techniques to face linear and integer linear programming problems will be deepened.
Expected learning outcomes
Ability to choose the most suitable tools to solve non-linear optimization problems. Ability to apply decomposition techniques to deal with integer linear programming problems, skills related to the techniques used by commercial solvers.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
MAT/09 - OPERATIONS RESEARCH - University credits: 6
Lessons: 48 hours
Professor:
Righini Giovanni
Shifts:
Turno
Professor:
Righini GiovanniProfessor(s)