Practice Limitations of Merge Sort - 20.5 | 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 Merge Sort?

πŸ’‘ Hint: Recall the algorithm's performance characteristics.

Question 2

Easy

What is one advantage of Merge Sort?

πŸ’‘ Hint: Think about stability in 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 space concern with Merge Sort?

  • It requires a binary search tree.
  • It needs O(n) extra space for merging.
  • It has no space concerns.
  • It needs to store all elements in the same array.

πŸ’‘ Hint: Think about how the merging process works.

Question 2

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

  • True
  • False

πŸ’‘ Hint: Consider if the algorithm modifies the original array without extra space.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given an array of 1,000,000 integers, would Merge Sort still be efficient if implemented recursively? Discuss the implications of memory limits and recursion depth.

πŸ’‘ Hint: Consider the depth of recursion and the space used.

Question 2

Evaluate a scenario where using Merge Sort is warranted despite its limitations. Describe the conditions under which it would be the best choice.

πŸ’‘ Hint: Consider where data integrity is essential for the sorted outcomes.

Challenge and get performance evaluation