Numerical analysis provides a variety of techniques to compute approximations to mathematical numerical values. Errors arise from a trade-off between efficiency and precision, which is limited anyway, since (using floating-point arithmetic) only some rational numbers can be represented exactly. The discrepancy between the exact mathematical value and the computed value is called the approximation error.
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