The approximation error in some data is the discrepancy between an exact value and some approximation to it. An approximation error can occur because
- the measurement of the data is not precise due to the instruments. (e.g., the accurate reading of a piece of paper is 4.5 cm but since the ruler does not use decimals, you round it to 5 cm.) or
- approximations are used instead of the real data (e.g., 3.14 instead of π).
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.
Read more about Approximation Error: Overview, Definitions, Instruments
Famous quotes containing the word error:
“Theoretically, I grant you, there is no possibility of error in necessary reasoning. But to speak thus “theoretically,” is to use language in a Pickwickian sense. In practice, and in fact, mathematics is not exempt from that liability to error that affects everything that man does.”
—Charles Sanders Peirce (1839–1914)
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