Practice Analysis of Merge Sort - 20.3 | 20. Mergesort, analysis | Data Structures and Algorithms in Python
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the time complexity of the merge function?

πŸ’‘ Hint: Think about the operations performed during the merge process.

Question 2

Easy

What does 'stability' mean regarding sorting?

πŸ’‘ Hint: Consider what happens to equal elements in a sort.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the time complexity of merge sort?

  • O(n)
  • O(nΒ²)
  • O(n log n)
  • O(log n)

πŸ’‘ Hint: Consider how merging and dividing contributes to the total work done.

Question 2

Merge sort is stable. True or False?

  • True
  • False

πŸ’‘ Hint: Think about how duplicates are treated in sorting.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a non-recursive version of the merge sort algorithm and compare its performance in terms of time and space complexity.

πŸ’‘ Hint: Think about how you can replace recursive calls with iterative constructs.

Question 2

Implement a variant of merge sort that counts how many inversions there are in the given list.

πŸ’‘ Hint: Utilize the merge process to track inversions.

Challenge and get performance evaluation