Practice Merge Sort, Analysis (20.1.1) - Mergesort, analysis - Data Structures and Algorithms in Python
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Merge Sort, Analysis

Practice - Merge Sort, Analysis

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the time complexity of the merge function?

💡 Hint: Think about how many elements are being compared in the merging process.

Question 2 Easy

Define recursion in your own words.

💡 Hint: It often involves functions calling themselves.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary advantage of merge sort over insertion sort?

It is faster for larger inputs
It is easier to implement
It requires less memory

💡 Hint: Think about how time complexity affects performance.

Question 2

True or False: Merge sort is not a stable sorting algorithm.

True
False

💡 Hint: Recall what it means for a sort to be stable.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a list of 1 million elements, analyze the impact of the overhead from recursive calls when using merge sort and compare it to iterative sorting methods.

💡 Hint: Consider how recursion might influence memory usage and function call speed.

Challenge 2 Hard

Design a modified version of merge sort that uses less space while maintaining time complexity, and explain your approach.

💡 Hint: Think about how sorting could be managed without creating full copies of lists.

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Reference links

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