Absolute error is the difference between the true value and the estimated or measured value of a quantity. It provides a straightforward way to assess how far off a calculated approximation is from the actual value, giving a clear indicator of accuracy. In contexts where performance guarantees are discussed, understanding absolute error helps in evaluating how close an algorithm's output is to the optimum solution, directly impacting the effectiveness of approximation algorithms.
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