Practice Programming, Data Structures And Algorithms In Python (20.1) - Mergesort, analysis
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Programming, Data Structures and Algorithms in Python

Practice - Programming, Data Structures and Algorithms in Python

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the time complexity of merge sort?

💡 Hint: Think about how merge sort compares to simpler sorting algorithms.

Question 2 Easy

Name one advantage of merge sort.

💡 Hint: Consider how it performs relative to smaller algorithms.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary operation in the merge sort algorithm?

Sorting
Merging
Dividing

💡 Hint: Think about what happens step-by-step during sorting.

Question 2

True or False: Merge Sort can sort in O(n) time.

True
False

💡 Hint: Reflect on the time complexity we discussed.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design an iterative version of merge sort and discuss its advantages over the recursive version.

💡 Hint: Consider how you can mimic recursive behavior using loops.

Challenge 2 Hard

Demonstrate how changing merge sort to work on linked lists instead of arrays would affect performance.

💡 Hint: Think about the characteristics of linked lists versus arrays.

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Reference links

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