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3 cards from this section. Quick, good the night before a test.
What is meant by 'input size' in algorithm analysis?
Think about how many elements you need to sort or check.
Why do we consider worst-case scenarios?
Consider what happens in the least favorable conditions.
What does worst-case analysis help determine?
Consider which scenario would take the longest to resolve.
True or False: Average-case analysis is always easier to compute than worst-case analysis.
Think about the number of scenarios to consider.
Analyze a sorting algorithm that has a worst-case performance of O(n^2). Determine if you would recommend it for large datasets and justify your decision.
Consider the implications of n being very large.
Explain how ignoring constants can affect the perceived efficiency of an algorithm when comparing two similar algorithms.
Think about how constants might distort comparisons.
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