EECS 279

Approximation Algorithms

University of California, Merced · UGRD · Fall 2026

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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.

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Class #california_merced-0793Fall 2026UGRD4 credits
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