Practice Merge Sort, Analysis - 20.1.1 | 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 elements are being compared in the merging process.

Question 2

Easy

Define recursion in your own words.

πŸ’‘ Hint: It often involves functions calling themselves.

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 insertion sort?

  • It is faster for larger inputs
  • It is easier to implement
  • It requires less memory

πŸ’‘ Hint: Think about how time complexity affects performance.

Question 2

True or False: Merge sort is not a stable sorting algorithm.

  • True
  • False

πŸ’‘ Hint: Recall what it means for a sort to be stable.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a list of 1 million elements, analyze the impact of the overhead from recursive calls when using merge sort and compare it to iterative sorting methods.

πŸ’‘ Hint: Consider how recursion might influence memory usage and function call speed.

Question 2

Design a modified version of merge sort that uses less space while maintaining time complexity, and explain your approach.

πŸ’‘ Hint: Think about how sorting could be managed without creating full copies of lists.

Challenge and get performance evaluation