Fixed point method allows us to solve non linear equations. For example consider the function fx x 1. Fixed-point math is most commonly used for systems that lack an FPU or when you need a few more ounces of performance or precision than the standard floating point types can provide hint.
How hardware components or software functions interpret this sequence of 1s and 0s is defined by the data type.
Fixed point math independent of processor speed is easier to code with and faster than floating point math. For example consider the function fx x 1. More specifically given a function defined on real numbers with real values and given a point in the domain of the fixed point iteration is This gives rise to the sequence which it is hoped will converge to a point. The fixed cost ratio is a simple ratio that divides fixed costs by net sales to understand the proportion of fixed costs involved in production.