Layer 1: Theoretical Foundation

๐Ÿ“ 13.3 Floating-point numbers, representation and manipulation ๐ŸŽ“ Platform: A Level Computer Science

Real numbers are stored in binary using a mantissa and an exponent, and this topic explains how that format works. You will convert between denary values and their floating-point binary representation in both directions, and normalise a floating-point number to make best use of the bits available. The topic examines the trade-off between precision and range when bits are divided between mantissa and exponent, and the effects of overflow, underflow and rounding errors.

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