Practice Analysis Of The Merge Function (20.2) - Mergesort, analysis - Data Structures and Algorithms in Python
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Analysis of the Merge Function

Practice - Analysis of the Merge Function

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the time complexity for the merge function?

💡 Hint: Consider how many operations are needed to merge each element.

Question 2 Easy

What does the merge function do?

💡 Hint: Think about sorting before merging.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of the merge function?

O(n²)
O(m+n)
O(log n)

💡 Hint: Think about how each element is combined.

Question 2

True or False: The merge function is non-linear in time complexity.

True
False

💡 Hint: Remember how time complexity is calculated in merging.

3 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

How would you modify the merge function to apply a union operation, ensuring duplicates from both lists are removed?

💡 Hint: Think about how to keep track of elements you've already added.

Challenge 2 Hard

Propose an alternative algorithm that could use the concept of merging while optimizing space complexity.

💡 Hint: Explore how to manipulate the original lists rather than creating new ones.

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Reference links

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