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2 cards from this section. Quick, good the night before a test.
Define absolute error.
Think about what values you compare to find the difference.
What does relative error measure?
Recall how absolute error is expressed in relation to the exact value.
What is absolute error?
Focus on how the term 'absolute' relates to the nature of the error.
True or False: A well-conditioned problem is one where small changes in input lead to large changes in output.
Think about the sensitivity in relation to small input changes.
Given an exact solution of 15.7 and a computed solution of 15.3, calculate both absolute and relative errors. Discuss their significance in a practical context.
Apply your formulas and interpret your results in terms of real-world applications.
Discuss a scenario in which an algorithm may become unstable when solving an ill-conditioned problem. What steps can be taken to secure stability?
Think critically about how instability can arise and possible remedies.
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