Practice Independent Sub-problems (19.5.1) - Mergesort - Part A - Data Structures and Algorithms in Python
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Independent Sub-problems

Practice - Independent Sub-problems

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Practice Questions

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Question 1 Easy

What is merge sort?

💡 Hint: Think about the steps of dividing and merging.

Question 2 Easy

What does 'divide and conquer' mean?

💡 Hint: Recall how tasks can be split among multiple individuals.

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 logarithmic divisions.

Question 2

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

True
False

💡 Hint: Consider how many lists are created during merging.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given an unsorted array of integers, outline the steps to implement the merge sort algorithm in pseudo code.

💡 Hint: Consider the base case and how the list is divided.

Challenge 2 Hard

Evaluate the advantages and disadvantages of using merge sort over quick sort for large datasets.

💡 Hint: Think about the characteristics of each sorting method.

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