Practice Efficiency Of Merge Sort Algorithm (19.2.3) - Mergesort - Part B
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Efficiency of Merge Sort Algorithm

Practice - Efficiency of Merge Sort Algorithm

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the primary strategy used in the Merge Sort algorithm?

💡 Hint: Think about how the algorithm handles lists.

Question 2 Easy

What happens when you encounter a list index out of range error?

💡 Hint: Recall the limits of list indices.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main advantage of using Merge Sort over simpler algorithms?

Faster for small lists
In-place sorting
Efficient for large datasets

💡 Hint: Think about how the algorithm scales with input size.

Question 2

True or False: Merge Sort can hit recursion limit with very large lists.

True
False

💡 Hint: Consider how many times the input size is halved.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider the list [10, 7, 5, 3, 4, 9, 8]. Modify the Merge Sort algorithm to sort this list in descending order instead of ascending. Provide a code snippet for your solution.

💡 Hint: Reverse the comparisons made in the merge step.

Challenge 2 Hard

Critically assess the memory usage of the Merge Sort algorithm. When merging lists, what is the auxiliary space complexity, and how can it be optimized?

💡 Hint: Reflect on how data is stored during the merging phase.

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Reference links

Supplementary resources to enhance your learning experience.