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Approximation algorithms are algorithms that find approximate solutions to optimization problems, usually with a guarantee of the solution's quality relative to the optimal solution. They are used when exact solutions are too time-consuming to compute. Approximation algorithms trade-off optimality for efficiency and are commonly used in scheduling.