Combinatorial Optimization

A.Y. 2024/2025
6
Max ECTS
48
Overall hours
SSD
MAT/09
Language
Italian
Learning objectives
The objectives of the course are: 1) to learn some polynomial time algorithms for graph optimization problems and the theoretical foundations on which these algorithms are based; 2) to implement some of the algorithms presented (a part of the course takes place in a computer lab); 3) to understand when the search for polynomial algorithms, for a new combinatorial optimization problem, is probably destined to fail (by means of the computational complexity theory).
Expected learning outcomes
Ability to design and implement efficient algorithms to solve polynomial complexity optimization problems on graphs.
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 Giovanni
Professor(s)
Reception:
on appointment
via Celoria 18, third floor