Error analysis measures the difference between an approximate numerical value and a true or accepted value. It includes absolute, relative, round-off, and truncation errors.
Governing FormulaAbsolute error = |true value - approximate value|
Knowledge Check
10 Questions
1.What is the primary purpose of error analysis?
2.Which practice improves reliability when applying error analysis?
3.What is a common numerical concern in error analysis?
4.Why are tolerances used in error analysis algorithms?
5.What should be compared when validating a error analysis result?
6.What can happen when algorithm settings are poorly selected in error analysis?
7.Which engineering habit is important when documenting error analysis?
8.What does convergence usually indicate in error analysis?
9.Why should physical engineering judgment still be applied to error analysis results?
10.Which factor can most directly affect the computational cost of error analysis?