Practice Combining Sorted Lists (19.3) - Mergesort - Part A - Data Structures and Algorithms in Python
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Combining Sorted Lists

Practice - Combining Sorted Lists

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the first step in merging two sorted lists?

💡 Hint: Think about which element is smaller.

Question 2 Easy

Name a key benefit of merge sort.

💡 Hint: Consider its time complexity.

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 the number of times we can divide the list.

Question 2

True or False: Merge sorts two input arrays into a single sorted array efficiently.

True
False

💡 Hint: Recall how we performed the merging process.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Write a full implementation of merge sort in Python and explain your logic.

💡 Hint: Use recursion to split before merging.

Challenge 2 Hard

Analyze and compare the efficiency of merge sort against quicksort and bubble sort for a large dataset.

💡 Hint: Consider the time complexity in various scenarios.

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Reference links

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