Approximation Algorithms
Master of Science in Computer Science · University · Advanced Algorithms
This unit introduces the fundamental concepts of approximation algorithms, including greedy and randomized approaches. Students will learn techniques for designing and analyzing approximation algorithms and understanding their performance guarantees.
Zum Üben gibt es 56 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Approximation Algorithms
- Greedy Approximation Algorithms
- Randomized Approximation Algorithms
- Performance Guarantees
- NP-Completeness and Approximation Algorithms
- Approximation Algorithms for Specific Problems (e.g.
- Set Cover
- Vertex Cover
- Traveling Salesman Problem)
Stichworte
- Greedy Algorithms
- Randomized Algorithms
- NP-Completeness
- Approximation Ratio
- Running Time Analysis
- Randomized Rounding
- Linear Programming Relaxation