Practice Improvement Over Other Sorting Algorithms (14.1.4)

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10 questions

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6 sample questions

Question 1.
What is the time complexity of merge sort?
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Recall the significant term in time complexity discussion.
Question 2.
What is the purpose of the merge operation in merge sort?
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Think of how sorted lists are merged during the process.
3Question 3.
What is the time complexity of merge sort?
- O(n²)
- O(n log n)
- O(log n)
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Remember the efficiency discussed in relation to input size.
4Question 4.
Does merge sort require extra space during the merging process?
- True
- False
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Think about the requirements of the merge operation.
Question 5.
Given two sorted arrays A = [1, 3, 5] and B = [2, 4, 6], write pseudocode for the merge operation.
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Focus on the comparison and how to move through both lists.
Question 6.
Analyze the trade-offs of using merge sort over quicksort for sorting large datasets in terms of performance and memory utilization.
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Think about time complexity versus the need for additional memory.

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