In mathematics and computer science, truncation is limiting the number of digits right of the decimal point.
Truncation and floor function
[edit]Truncation of positive real numbers can be done using the floor function. Given a number to be truncated and , the number of elements to be kept behind the decimal point, the truncated value of x is
However, for negative numbers truncation does not round in the same direction as the floor function: truncation always rounds toward zero, the function rounds towards negative infinity. For a given number , the function is used instead
- .
Causes of truncation
[edit]With computers, truncation can occur when a decimal number is typecast as an integer; it is truncated to zero decimal digits because integers cannot store non-integer real numbers.
In algebra
[edit]An analogue of truncation can be applied to polynomials. In this case, the truncation of a polynomial P to degree n can be defined as the sum of all terms of P of degree n or less. Polynomial truncations arise in the study of Taylor polynomials, for example.[1]
See also
[edit]- Arithmetic precision
- Quantization (signal processing)
- Precision (computer science)
- Truncation (statistics)
References
[edit]External links
[edit]- Wall paper applet that visualizes errors due to finite precision
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