Practice Iterative Process of Merging - 19.3.2 | 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

Explain the merge process for the lists [1, 3] and [2, 4].

πŸ’‘ Hint: Think of comparing the first elements of the lists.

Question 2

Easy

What is the base case for the merge sort algorithm?

πŸ’‘ Hint: What do you do when there's nothing left to 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 main strategy used in merge sort?

  • Insertion
  • Selection
  • Divide and Conquer

πŸ’‘ Hint: Think about how the algorithm organizes the sorting tasks.

Question 2

True or False: Merge sort has a time complexity of O(nΒ²).

  • True
  • False

πŸ’‘ Hint: Consider how merge sort compares to other sorting methods.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given two sorted lists [10, 15, 20] and [5, 18, 22], write a function to merge them. Then, analyze its time complexity.

πŸ’‘ Hint: Consider using pointers for each list when iterating.

Question 2

Design a detailed algorithm that outlines the steps to perform merge sort and implement it using recursion.

πŸ’‘ Hint: Remember to outline the base case clearly in your design.

Challenge and get performance evaluation