In computer science, the precision of a numerical quantity is a measure of the detail in which the quantity is expressed. This is usually measured in bits, but sometimes in decimal digits. It is related to precision in mathematics, which describes the number of digits that are used to express a value.
Rounding error
Lecture 8 Part 1 - Floating point - Precision and Accuracy - Computer Organization and Architecture Prof.V.Kamakoti Department Of Computer Science and Engineering IIT Madras.
Precision is often the source of rounding errors in computation. The number of bits used to store a number will often cause some loss of accuracy. An example would be to store "sin(0.1)" in IEEE single precision floating point standard. The error is then often magnified as subsequent computations are made using the data (although it can also be reduced).
See also
- Arbitrary-precision arithmetic
- Extended precision
- IEEE754 (IEEE floating point standard)
- Integer (computer science)
- Significant figures
- Truncation
