Octuple-precision floating-point format: Difference between revisions

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added 'Simplest way of describing it:' to help out readers that dont yet understand memory allocation or what precision floating-point format is
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[[File:Octuple persision visual demontration.png|1000px|Layout of octuple precision floating point format]]
 
To find the value do
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<math>\text{value} = (-1)^\text{sign}\left(1 + \sum_{i=1}^{23} b_{23-i} 2^{-i} \right)\times 2^{(e-127)}</math>.
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where '''sign''' is the first bit ( + or - ), '''e''' is the exponent, and '''i''' is the fraction
 
=== Exponent encoding ===