Practice Comparative Strategy For Sorting (19.2.2) - Mergesort - Part A
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Comparative Strategy for Sorting

Practice - Comparative Strategy for Sorting

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Practice Questions

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Question 1 Easy

What is merge sort?

💡 Hint: Think of how it divides the list.

Question 2 Easy

What do we do when one of the lists to merge is empty?

💡 Hint: What happens if there's nothing to merge?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What algorithm does merge sort utilize?

Dynamic Programming
Greedy Technique
Divide and Conquer
Brute Force

💡 Hint: Think about how it breaks down the problem.

Question 2

Merge sort is more efficient than which of the following for large lists?

Insertion Sort
Selection Sort
Bubble Sort
All of the above

💡 Hint: Recall the performance of each algorithm for large inputs.

2 more questions available

Challenge Problems

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Challenge 1 Hard

Demonstrate merge sort on the array [38, 27, 43, 3, 9, 82, 10], showing each step of the divide and merge process.

💡 Hint: Keep breaking down until you have single elements, then start merging them back.

Challenge 2 Hard

Write a Python function to implement merge sort for a list of integers, including handling edge cases.

💡 Hint: Remember to handle scenarios where lists may be already sorted.

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