And my insights into them.
This worklog was inspired by a mix of procrastination and my Numerical Analysis I class.
What do I mean by "Floating Point Numbers" in this case? The base-10 numbers with decimanl points?
No, this is about FP16, FP32, FP64 and so on, floating point numbers represented for computation.
FP64 are numbers that are represented in $2^n$ (base-2) instead of $10^n$ (base-10)Computer recognized floating point types have defined bit allocation for their:
Sign: $\pm$
Exponent: $e2$
Mantissa: $1.234\dots$
In the case of FP64 this is 1-bit for the sign, 11-bits for the exponent, and 52-bits for the mantissa
When computing floating point numbers, there are a number of factors to consider such as round-off error, ...
WIP
This post is actively being written!