Real Time Systems Design And Analysis

Chapter 7.5.5 - Imprecise Computation

7.5.5   Imprecise Computation

In some applications partial results can often be given in order to meet a deadline.
In cases where software routines are needed to provide mathematical support (in
the absence of firmware support or digital signal processing (DSP) coprocessors),
complex algorithms are often employed to produce the desired calculation.
For example, a Taylor series expansion (perhaps using look-up tables for
function derivatives) can be terminated early, at a loss of accuracy, but with
improved performance. Techniques involving early truncation of a series in order
to meet deadlines are often called imprecise computation. Imprecise computation
(also called approximate reasoning) is often difficult to apply, however, because
it is not always easy to determine the processing that can be discarded, and
its cost.

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