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2 cards from this section. Quick, good the night before a test.
What is the time complexity of the naïve sorting algorithm?
Remember how many comparisons it makes.
Why is time complexity more critical than space complexity in most algorithms?
Think about what can be upgraded.
What is the time complexity of the naive sorting algorithm?
Consider how many comparisons are made.
True or False: O(n log n) sorting algorithms are less efficient than O(n²).
Recall the practical implications of sorting speed.
You have a dataset containing temperatures for every day in a decade. Design an efficient sorting algorithm to order these temperatures, and justify your choice based on time complexity.
Consider a sorting strategy that divides the set to minimize comparisons.
How would you approach sorting a list that is nearly sorted? Does the choice of algorithm change?
Think about how the nature of the data affects algorithm performance.
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