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==Numerical analysis== {{main| Approximation error}} [[Numerical analysis]] provides a variety of techniques to represent (store) and compute [[approximation]]s to mathematical numerical values. Errors arise from a trade-off between efficiency (space and computation time) and precision, which is limited anyway, since (using common [[floating-point arithmetic]]) only a finite amount of values can be represented exactly. The discrepancy between the exact mathematical value and the stored/computed value is called the [[approximation error]].
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