👉 Floating point math is a method for representing real numbers in computers that approximates decimal values using a finite number of bits, making it efficient for hardware implementation. Unlike fixed-point representation, which uses a fixed number of bits for each part (like the integer and fractional components), floating point uses a variable number of bits to represent both the significand (or mantissa) and the exponent. This allows for a wide range of precision and dynamic scaling, but it introduces approximations and potential rounding errors. Operations like addition, subtraction, multiplication, and division are performed on these floating point numbers, and while they can be precise for many practical purposes, they may not always yield exact results due to the inherent limitations of binary representation.
