Practice Divide And Conquer Paradigm (19.5) - Mergesort - Part A - Data Structures and Algorithms in Python
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Divide and Conquer Paradigm

Practice - Divide and Conquer Paradigm

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Practice Questions

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Question 1 Easy

What is the first step in the Merge Sort algorithm?

💡 Hint: Think about how you would approach sorting a list manually.

Question 2 Easy

Explain what happens when one of the lists is empty during the merging process.

💡 Hint: Consider what it means for a list to be completely sorted.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does the Divide and Conquer approach involve?

Merging sorted lists
Dividing problems into smaller sub-problems
Sorting a single list

💡 Hint: Think about what 'divide' means.

Question 2

True or False: Merge Sort has the same time complexity as Bubble Sort.

True
False

💡 Hint: Remember the time complexities of these algorithms.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given the lists [10, 20, 30, 40] and [5, 15, 25, 35], manually merge them using the merging strategy of Merge Sort. Explain each step.

💡 Hint: Track which elements you've chosen and what remains in each list.

Challenge 2 Hard

Create a Python function that implements the Merge Sort algorithm. Test it with an example array and explain your code.

💡 Hint: Start by defining the merge function before recursively applying it.

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