Practice Step-by-Step Illustration - 19.4.1 | 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 the time complexity of merge sort?

πŸ’‘ Hint: Consider how merge sort processes elements.

Question 2

Easy

Name the first step in the merge sort algorithm.

πŸ’‘ Hint: Recall what happens before sorting.

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 primary advantage of merge sort over simple sorting algorithms?

  • O(nΒ²) complexity
  • Better efficiency for large datasets
  • Simplicity of implementation

πŸ’‘ Hint: Remember its performance compared to simpler sorts.

Question 2

True or False: The merge sort algorithm works by recursively dividing the list until it has one element.

  • True
  • False

πŸ’‘ Hint: Think about the base case in recursive algorithms.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the list [38, 27, 43, 3, 9, 82, 10], demonstrate how merge sort sorts it step by step.

πŸ’‘ Hint: Focus on the way the lists split and combine.

Question 2

Explain the space complexity of merge sort and why it may impact its use.

πŸ’‘ Hint: Consider how additional allocations affect sorting efficiency.

Challenge and get performance evaluation