Algorithms and Complexity
A.Y. 2018/2019
Learning objectives
Il corso consiste nella discussione di algoritmi di approssimazione per problemi NP-difficili; difficoltà di approssimazione dei problemi (in particolare, di alcuni affrontati nella prima parte); cenni della teoria della complessità di approssimazione (in particolare, il PCP); strutture dati succinte.
Expected learning outcomes
Undefined
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
Milan
Responsible
Lesson period
First semester
ATTENDING STUDENTS
Course syllabus
NON-ATTENDING STUDENTS
- Approximation algorithms for NP-hard problems.
- Proofs of hardness of approximation using the gap method.
- PCP and related inapproximability results.
- Succinct data structures
- Proofs of hardness of approximation using the gap method.
- PCP and related inapproximability results.
- Succinct data structures
Course syllabus
- Approximation algorithms for NP-hard problems.
- Proofs of hardness of approximation using the gap method.
- PCP and related inapproximability results.
- Succinct data structures
- Proofs of hardness of approximation using the gap method.
- PCP and related inapproximability results.
- Succinct data structures
Professor(s)