Practice Analysis of Sorting Algorithms - 19.2 | 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 the worst-case time complexity of the insertion sort?

πŸ’‘ Hint: Think about how insertion sort would behave with a reverse-sorted array.

Question 2

Easy

What do we mean by the term 'merge' in merge sort?

πŸ’‘ Hint: Remember how we discussed merging sorted papers in class.

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(nΒ²)
  • O(n log n)
  • O(log n)

πŸ’‘ Hint: Think about how the logarithm relates to the number of splits.

Question 2

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

  • True
  • False

πŸ’‘ Hint: Consider whether it needs extra space to merge lists.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Analyze the performance of Merge Sort when applied to a dataset of 1000 random integers. What is the expected number of comparisons made?

πŸ’‘ Hint: Use the formula for time complexity while estimating.

Question 2

Consider an array of elements: [7, 5, 8, 3, 1, 2, 6, 4]. Show the steps of how Merge Sort would sort this list in detail.

πŸ’‘ Hint: Draw out the divide and merge steps to visualize the process.

Challenge and get performance evaluation