ECS 222B
— Advanced Design & Analysis of Algorithms
Advanced topics in complexity theory. Problem classification. The classes P, NP, P-space, co-NP. Matching and network flow algorithms. Matrix multiplication. Approximation algorithms.
Prerequisites & course information
Course Description: Advanced topics in complexity theory. Problem classification. The classes P, NP, P-space, co-NP. Matching and network flow algorithms. Matrix multiplication. Approximation algorithms. Learning Activities: Lecture 3 hour(s), Project 1 hour(s). Enrollment Restriction(s): Open to Graduate Students in Computer Science only. Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Project 1 hour(s). Enrollment Restriction(s): Open to Graduate Students in Computer Science only. Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027