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Floating Point Representation

In computing, floating-point arithmetic (FP) is arithmetic using formulaic representation of real numbers as an approximation to support a trade-off between range and precision. For this reason, floating-point computation is often found in systems which include very small and very large real numbers, which require fast processing times. A number is, in general, represented approximately to a fixed number of significant digits (the significand) and scaled using an exponent in some fixed base; the base for the scaling is normally two, ten, or sixteen.

Main Presentation (includes demonstrations and several exam practice questions)

*Ensure you are familiar with two's complement representation (see unit)

Additional Presentation - Floating Point Binary Part #1

Suggested Video

Additional Reading

https://en.wikipedia.org/wiki/Floating-point_arithmetic

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