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»
Mathematica
>
Mathematics and Algorithms
>
Numerical Evaluation & Precision
>
Precision & Accuracy Control
>
Accuracy
>
BUILT-IN MATHEMATICA SYMBOL
Numerical Precision
The Uncertainties of Numerical Mathematics
Tutorials »
|
Precision
RealExponent
N
Chop
SetAccuracy
AccuracyGoal
WorkingPrecision
NumberMarks
See Also »
|
Numerical Evaluation & Precision
Precision & Accuracy Control
Representation of Numbers
More About »
Accuracy
Accuracy
[
x
]
gives the effective number of digits to the right of the decimal point in the number
x
.
MORE INFORMATION
Accuracy
[
x
]
gives a measure of the absolute uncertainty in the value of
x
.
With uncertainty
dx
,
Accuracy
[
x
]
is
-
Log
[10,
dx
]
.
For exact numbers such as integers,
Accuracy
[
x
]
is
Infinity
.
Accuracy
[
x
]
does not normally yield an integer result, and need not be positive.
For any approximate number
x
,
Accuracy
[
x
]
is equal to
Precision
[
x
]-
RealExponent
[
x
]
.
For machine-precision numbers,
Accuracy
[
x
]
gives the same as
$MachinePrecision
-
Log
[10,
Abs
[
x
]]
.
»
Accuracy
is
-
Log
[10,
$MinMachineNumber
]
.
»
Numbers entered in the form
are taken to have accuracy
a
.
If
x
is not a number,
Accuracy
[
x
]
gives the minimum value of
Accuracy
for all the numbers that appear in
x
.
»
EXAMPLES
CLOSE ALL
Basic Examples
(3)
Machine-precision number:
Arbitrary-precision number:
Exact number:
Machine-precision number:
In[1]:=
Out[1]=
Arbitrary-precision number:
In[1]:=
Out[1]=
Exact number:
In[1]:=
Out[1]=
Scope
(4)
Accuracy
is the effective number of digits known to the right of the decimal point:
A zero known to accuracy 20:
The precision of
is the same as the accuracy of
:
Accuracy of a machine zero:
The uncertainty
is effectively the smallest positive machine number:
Specify accuracy as the goal for
N
:
Generalizations & Extensions
(1)
The accuracy of a symbolic expression is the minimum of the accuracies of its numbers:
Applications
(2)
Check the quality of a result:
Track loss of accuracy in a repetitive calculation:
Properties & Relations
(2)
For machine-precision numbers,
Accuracy
[
x
]
is the same as
$MachinePrecision
-
Log
[10,
Abs
[
x
]]
:
For non-machine numbers,
Precision
[
x
]==
RealExponent
[
x
]+Accuracy[
x
]
:
Neat Examples
(1)
Accuracy
and
Precision
in iterating the logistic map:
SEE ALSO
Precision
RealExponent
N
Chop
SetAccuracy
AccuracyGoal
WorkingPrecision
NumberMarks
TUTORIALS
Numerical Precision
The Uncertainties of Numerical Mathematics
MORE ABOUT
Numerical Evaluation & Precision
Precision & Accuracy Control
Representation of Numbers
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