Loss of significance is an undesirable effect in calculations using
floating-point arithmetic. It occurs when an operation on two numbers increases
relative error substantially more than it increases
absolute error, for example in subtracting two nearly equal numbers (known as
catastrophic cancellation). The effect is that the number of
accurate (significant) digits in the result is reduced unacceptably. Ways to avoid this effect are studied in
numerical analysis.