# Double.Epsilon Field

May 11, 2014

Represents the smallest positive Double value greater than zero. This field is constant.

**Namespace:**System

**Assembly:**mscorlib (in mscorlib.dll)

The value of the Epsilon property reflects the smallest positive Double value that is significant in numeric operations or comparisons when the value of the Double instance is zero. For example, the following code shows that zero and Epsilon are considered to be unequal values, whereas zero and half the value of Epsilon are considered to be equal.

Module Example Public Sub Demo(ByVal outputBlock As System.Windows.Controls.TextBlock) Dim values() As Double = {0, Double.Epsilon, Double.Epsilon * 0.5} For ctr As Integer = 0 To values.Length - 2 For ctr2 As Integer = ctr + 1 To values.Length - 1 outputBlock.Text += String.Format("{0:r} = {1:r}: {2}", _ values(ctr), values(ctr2), _ values(ctr).Equals(values(ctr2))) & vbCrLf Next outputBlock.Text &= vbCrLf Next End Sub End Module ' The example displays the following output: ' 0 = 4.94065645841247E-324: False ' 0 = 0: True ' ' 4.94065645841247E-324 = 0: False

However, the Epsilon property is not a general measure of precision of the Double type; it applies only to Double instances that have a value of zero.

Note: |
---|

The value of the Epsilon property is not equivalent to machine epsilon, which represents the upper bound of the relative error due to rounding in floating-point arithmetic. |

The value of this constant is 4.94065645841247e-324.

Two apparently equivalent floating-point numbers might not compare equal because of differences in their least significant digits. For example, the C# expression, (double)1/3 == (double)0.33333, does not compare equal because the division operation on the left side has maximum precision while the constant on the right side is precise only to the specified digits. If you create a custom algorithm that determines whether two floating-point numbers can be considered equal, you must use a value that is greater than the Epsilon constant to establish the acceptable absolute margin of difference for the two values to be considered equal. (Typically, that margin of difference is many times greater than Epsilon.)