EECS 279
Approximation Algorithms
University of California, Merced · UGRD · Fall 2026
1 section
Catalog description
Optimization problems are prevalent in many disciplines, and computer science is no exception. Unfortunately, numerous optimization problems are computationally hard (e.g. NP-hard), hence resist efficient algorithms. Covers various approximation algorithms which are polynomial time heuristics that aim to give a solution close to the optimum for all inputs.
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verifiedClass #california_merced-0793Fall 2026UGRD4 credits
- Days & times
- No scheduled meeting time
- Meeting dates
- —
- Location
- —
- Instructor
- Staff
Class numbers and section codes come from the registrar.
Spot missing or incorrect course data?