Practice Analysing Complexity Of Recursive Insertion Sort (18.1.12) - Recursion
Students

Academic Programs

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

Engineering Courses
Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Certifications
Games

Interactive Games

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

Analysing Complexity of Recursive Insertion Sort

Practice - Analysing Complexity of Recursive Insertion Sort

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define recursion and give an example.

💡 Hint: Think of functions that call themselves.

Question 2 Easy

What is the base case in recursive functions?

💡 Hint: Consider how factorial of 0 equals 1.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary purpose of a base case in a recursive function?

To stop recursion
To increase the recursive calls
To solve complex problems

💡 Hint: What do we want to avoid with recursion?

Question 2

True or False: The time complexity of insertion sort is O(n log n) in the worst case.

True
False

💡 Hint: How does insertion sort behave with sorted versus unsorted data?

Get performance evaluation

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Implement a Python function to handle the recursive insertion sort and explain how each part works.

💡 Hint: Make sure you define your base case clearly!

Challenge 2 Hard

Discuss a situation where recursion may be more beneficial than iteration, providing a specific example.

💡 Hint: Think about how you would traverse a tree compared to a flat list.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.