Binary floating-point representations and arithmetic are inexact. Simple values like 0.1 cannot be precisely represented using binary floating-point numbers, and the limited precision of floating-point numbers means that slight changes in the order of operations or the precision of intermediate storage can change the result. To make matters worse, with arbitrary-precision floating-point arithmetic, you can set the precision before starting a computation, but then you cannot be sure of the number of significant decimal places in the final result.
|• Inexact representation:||Numbers are not exactly represented.|
|• Comparing FP Values:||How to compare floating point values.|
|• Errors accumulate:||Errors get bigger as they go.|