Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The approximation error in some data is the discrepancy between an exact value and some approximation to it. In the mathematical field of numerical analysis, the numerical stability of an algorithm in numerical analysis indicates how the error is propagated by the algorithm. One commonly distinguishes between the relative error and the absolute error. The absolute error is the magnitude of the difference between the exact value and the approximation. The relative error is the absolute error divided by the magnitude of the exact value. The percent error is the relative error expressed in terms of per 100.

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