Practice Merging Strategy (19.3.1) - Mergesort - Part A - Data Structures and Algorithms in Python
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Merging Strategy

Practice - Merging Strategy

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Practice Questions

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Question 1 Easy

What is the main advantage of merge sort compared to insertion sort?

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

Question 2 Easy

What happens when we try to merge two lists and one is empty?

💡 Hint: Consider the definition of merging.

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(n²)

💡 Hint: Consider how the merging process scales with the size of the input.

Question 2

True or False: Merge sort can be used on linked lists.

True
False

💡 Hint: Think about how lists are structured, especially linked lists.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are given an array of random integers. Propose an efficient algorithm that enhances the merge sort process by optimizing memory usage.

💡 Hint: Think about how to merge sorted sections without requiring extra lists.

Challenge 2 Hard

Implement a version of merge sort that can process a file containing integers. Explain how you would handle input from the file.

💡 Hint: Consider file handling and data structures suitable for sorting.

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