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Truncation Error
In practice, most numerical algorithms approxi-mate desired solution with a finite number of artithmetic operations.
- e.g. evaluating integral by quadrature
- summing series using finite number of terms
Difference between true solution and numerical approximation to solution is called "truncation error" (TE).
Notes: