Practice Independent Sub-problems - 19.5.1 | 19. Mergesort - Part A | 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 merge sort?

πŸ’‘ Hint: Think about the steps of dividing and merging.

Question 2

Easy

What does 'divide and conquer' mean?

πŸ’‘ Hint: Recall how tasks can be split among multiple individuals.

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(n log n)
  • O(n^2)

πŸ’‘ Hint: Think about the logarithmic divisions.

Question 2

True or False: Merge sort is an in-place sorting algorithm.

  • True
  • False

πŸ’‘ Hint: Consider how many lists are created during merging.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given an unsorted array of integers, outline the steps to implement the merge sort algorithm in pseudo code.

πŸ’‘ Hint: Consider the base case and how the list is divided.

Question 2

Evaluate the advantages and disadvantages of using merge sort over quick sort for large datasets.

πŸ’‘ Hint: Think about the characteristics of each sorting method.

Challenge and get performance evaluation