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In approximation algorithms, approximation ratio refers to the worst-case ratio between the value an efficient algorithm finds and the optimal value, used to rank heuristics for hard optimization problems. This meaning comes from Johnson (1974) in Journal of Computer and System Sciences.[1]
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