Description

In this video, Maggie Neterval talks about the implications of representing numbers in floating-point binary in computer memory. Many numbers with terminating decimal representations do not have terminating binary equivalents, and must be rounded to accommodate the storage limitations of the IEEE Standard for Floating Point Arithmetic. Different algorithms, programming languages, and libraries address the issues of imprecision that arise when storing and manipulating very large or very small numbers.

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