Rounding errors are inaccuracies that occur when representing real numbers with finite precision. These errors happen because some numbers cannot be precisely represented using binary floating-point representation.
Related terms
Precision: Precision refers to the level of detail or accuracy in which values are represented or measured.
Floating-point Representation: Floating-point representation is a method used by computers to represent real numbers as an approximation using scientific notation.
Truncation Error: Truncation error is an error that occurs when approximating a mathematical function or expression by discarding some part of it.