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2025 Winter
Apr 22, 2025
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CS 890EY - Approximation Algorithms
We study design and analysis techniques for approximation algorithms, i.e., efficient algorithms that provide solutions to combinatorial optimization problems with mathematically provable guarantees on the ratio of their objective values to that of the optimal solution. Examples of techniques include linear programming, dynamic programming, local search, and greedy algorithms.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture, Independent Study, Directed Reading, Examination

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

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