Practice Programming, Data Structures And Algorithms In Python (19.1) - Mergesort - Part A
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Programming, Data Structures and Algorithms in Python

Practice - Programming, Data Structures and Algorithms in Python

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the basic strategy of Merge Sort?

💡 Hint: Think about how we can divide a problem.

Question 2 Easy

What do we do when merging two sorted lists?

💡 Hint: Focus on the first elements of the lists.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of Merge Sort?

O(n)
O(n log n)
O(n^2)

💡 Hint: Think about how Merge Sort divides the problem.

Question 2

True or False: Merge Sort is an in-place sorting algorithm.

True
False

💡 Hint: Consider what 'in-place' means in the context of sorting.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a test case for an already sorted list and analyze the time complexity when applying Merge Sort.

💡 Hint: How does Merge Sort deal with already sorted input?

Challenge 2 Hard

Explain how you would adapt Merge Sort for a linked list instead of an array.

💡 Hint: Think about how linked lists differ from arrays in terms of accessing elements.

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Reference links

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