Practice Example Of Merge Sort (19.4) - Mergesort - Part A - Data Structures and Algorithms in Python
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Example of Merge Sort

Practice - Example of Merge Sort

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What are the initial steps of Merge Sort?

💡 Hint: Think about how the algorithm begins.

Question 2 Easy

How does Merge Sort improve upon insertion sort?

💡 Hint: Consider the performance with larger lists.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary advantage of Merge Sort?

It is simple to implement
It has a time complexity of O(n²)
It is efficient for large datasets

💡 Hint: Think about how performance changes with input size.

Question 2

True or False: Merge Sort uses a divide-and-conquer strategy.

True
False

💡 Hint: Recall the strategy used in the sorting process.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Implement the Merge Sort algorithm in Python to sort the list [12, 11, 13, 5, 6, 7]. Show the intermediate steps as you implement the merging process.

💡 Hint: Start by dividing the array into halves until reaching one element.

Challenge 2 Hard

Analyze how changing the merging process could result in a different sorted order. What considerations would need to be made?

💡 Hint: Consider what might happen if the order of selection was reversed in merging.

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Reference links

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