Practice Analysis Of Merge Sort (20.3) - Mergesort, analysis - Data Structures and Algorithms in Python
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Analysis of Merge Sort

Practice - Analysis of Merge Sort

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the time complexity of the merge function?

💡 Hint: Think about the operations performed during the merge process.

Question 2 Easy

What does 'stability' mean regarding sorting?

💡 Hint: Consider what happens to equal elements in a sort.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of merge sort?

O(n)
O(n²)
O(n log n)
O(log n)

💡 Hint: Consider how merging and dividing contributes to the total work done.

Question 2

Merge sort is stable. True or False?

True
False

💡 Hint: Think about how duplicates are treated in sorting.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a non-recursive version of the merge sort algorithm and compare its performance in terms of time and space complexity.

💡 Hint: Think about how you can replace recursive calls with iterative constructs.

Challenge 2 Hard

Implement a variant of merge sort that counts how many inversions there are in the given list.

💡 Hint: Utilize the merge process to track inversions.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.