Practice Time Complexity of Merge - 20.2.1 | 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 how many total comparisons you will make.

Question 2

Easy

Describe how two lists are merged in the merge sort.

πŸ’‘ Hint: Focus on how comparisons are made between the two lists.

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 the merge process?

  • O(n)
  • O(n log n)
  • O(m+n)

πŸ’‘ Hint: Look at the shape of the operations happening in merging.

Question 2

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

  • True
  • False

πŸ’‘ Hint: Consider the elements from two lists that need to be merged.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given two sorted arrays A = [1,4,6] and B = [2,3,5], use the merge function to create a new sorted array.

πŸ’‘ Hint: Compare the smallest elements from each list and continue until you finish merging both.

Question 2

If merging two lists A and B results in a final sorted array, explain the underlying steps in algorithmic terms.

πŸ’‘ Hint: Think about how comparisons influence your next choices in merging.

Challenge and get performance evaluation