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2 cards from this section. Quick, good the night before a test.
Define what correctness means in algorithms.
Think about what it means for an algorithm to be 'right'.
Explain the significance of Big O notation in measuring algorithm efficiency.
Consider why we might care about performance as input data changes.
What is the main focus of this section?
Look for the keywords in the titles.
True or False: An algorithm's efficiency is determined by its Big O notation.
Recall how we classify algorithms.
Design a simple algorithm using the divide and conquer technique to calculate the maximum element in a list. Explain your methodology.
Think of how you can break the problem until it's trivial to solve physically.
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