Learn to manage space and time complexity by practicing how to make the right algorithm and data structure decisions.

Ace the Java Coding Interview

Complexity plays an important role in coding. Users may experience a decline with an increase in complexity. This is why questions related to complexity are an important part of programming interviews. This module is a complete guide to the complexity of different data structures. It starts with the concepts and formulas related to complexity. Then, we'll solve different problems with different complexities. At the end of this module, we'll look at some interview questions related to code complexity, as well as a cheat sheet that will help us with the interview questions.

Big-O Notation

## Problem Statement
Compute the Big O time complexity of the following code. It is better to solve it on a piece of paper and then see if your answer matches the correct option!

### Code Snippet
You have to calculate the time complexity of the code given below: 

# Problem Statement
Compute the Big O time complexity of the following code. It is better to solve it on a piece of paper and then see if your answer matches the correct option!

## Code Snippet
You have to calculate the time complexity of the code given below: 

Compute the Big O of an algorithm that involves nested loops, and increments the loop variables through multiplication.  

Challenge 3 : Big (O) of Nested Loop with Multiplication

Compute the Big O of an algorithm that involves nested loops, and increments the loop variables through multiplication.

Complexity Problems

Conclusion

Challenge 3: Big O of Nested Loop with Multiplication

Problem Statement