Knowledge (XXG)

Numerical error

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the second usually called truncation error is the difference between the exact mathematical solution and the approximate solution obtained when simplifications are made to the mathematical equations to make them more amenable to calculation. The term truncation comes from the fact that either these
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for the parameter m=2.0 which shows numerical error: "the plot of time series (plot of x variable with respect to number of iterations) stops fluctuating and no values are observed after n=50". Parameter m= 2.0, initial point is
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expansion so as to make the computation possible and practical, or because the least significant bits of an arithmetic operation are thrown away.
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It can be the combined effect of two kinds of error in a calculation.
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Floating-point numerical error is often measured in ULP (
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simplifications usually involve the truncation of an
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Index

software engineering
mathematics
the numerical computations

Tent map
precision
floating-point
infinite series
unit in the last place
Loss of significance
Numerical analysis
Error analysis (mathematics)
Round-off error
Kahan summation algorithm
Numerical sign problem
ISBN
0-89871-355-2
ISBN
0444518606
Stub icon
software-engineering
stub
expanding it
v
t
e
Stub icon
applied mathematics
stub
expanding it

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