Practice Base Case For Recursive Merge Sort (13.3.2) - Merge Sort - Design & Analysis of Algorithms

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6 sample questions

Question 1.
What is the base case for merge sort?
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Think about when you can stop dividing the array.
Question 2.
What does 'merging' refer to in merge sort?
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Consider how you would combine two stacks of sorted cards.
3Question 3.
What is the time complexity of merge sort?
- O(n^2)
- O(n log n)
- O(log n)
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Consider how both phases of the algorithm contribute to the overall time.
4Question 4.
True or False: The base case for merge sort occurs when the array has two elements.
- True
- False
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Think about when no sorting is necessary.
Question 5.
Implement the merge sort algorithm in a programming language of your choice and explain the output.
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Start with the base case, then implement the recursive calls and merging.
Question 6.
Given a large dataset, describe how you would apply merge sort and optimize its performance.
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Think about how data management impacts performance.

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