Practice Base Case for Recursive Merge Sort - 13.3.2 | 13. Merge Sort | Design & Analysis of Algorithms - Vol 1
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Base Case for Recursive Merge Sort

13.3.2 - Base Case for Recursive Merge Sort

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the base case for merge sort?

💡 Hint: Think about when you can stop dividing the array.

Question 2 Easy

What does 'merging' refer to in merge sort?

💡 Hint: Consider how you would combine two stacks of sorted cards.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of merge sort?

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

💡 Hint: Consider how both phases of the algorithm contribute to the overall time.

Question 2

True or False: The base case for merge sort occurs when the array has two elements.

True
False

💡 Hint: Think about when no sorting is necessary.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Implement the merge sort algorithm in a programming language of your choice and explain the output.

💡 Hint: Start with the base case, then implement the recursive calls and merging.

Challenge 2 Hard

Given a large dataset, describe how you would apply merge sort and optimize its performance.

💡 Hint: Think about how data management impacts performance.

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