Practice Programming, Data Structures and Algorithms in Python - 20.1 | 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 merge sort?

πŸ’‘ Hint: Think about how merge sort compares to simpler sorting algorithms.

Question 2

Easy

Name one advantage of merge sort.

πŸ’‘ Hint: Consider how it performs relative to smaller algorithms.

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 operation in the merge sort algorithm?

  • Sorting
  • Merging
  • Dividing

πŸ’‘ Hint: Think about what happens step-by-step during sorting.

Question 2

True or False: Merge Sort can sort in O(n) time.

  • True
  • False

πŸ’‘ Hint: Reflect on the time complexity we discussed.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an iterative version of merge sort and discuss its advantages over the recursive version.

πŸ’‘ Hint: Consider how you can mimic recursive behavior using loops.

Question 2

Demonstrate how changing merge sort to work on linked lists instead of arrays would affect performance.

πŸ’‘ Hint: Think about the characteristics of linked lists versus arrays.

Challenge and get performance evaluation