A Quick Overview

How to  Approach the Longest Substring Problems?

Bruteforce Approach

Generate all substrings, find the one with unique characters, and return the maximum length. Simple, but time-consuming!

Check out the algorithm of the Bruteforce Approach!

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Time Complexity: O(N^3) Space Complexity: O(min(N, M)) N is the length of the string, and M is the size of substrings.

How to implement this approach in  different programming languages?

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Tired of repeating tasks? Optimize with the Sliding Window Approach. No need to recheck substrings; just look at the unique characters in each window.

Sliding Window Approach

Check out the algorithm of the  Sliding Window Approach!

Time Complexity: O(N^2)  Space Complexity: O(min(N, M)) N is the length of the string, and M is the size of substrings.

How to implement this approach in  different programming languages?

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Ready for an upgrade? Utilize a HashSet as a sliding window for efficient character tracking. Say goodbye to redundant checks and hello to optimal solutions.

Optimized Sliding Window

Check out the algorithm of the Optimized  Sliding Window Approach!

Time Complexity: O(N)  Space Complexity: O(min(N, M)) N is the length of the string, and M is the size of substrings.

How to implement this approach in  different programming languages?

Embark on your learning journey today and discover various approaches to successfully find the length of the longest substring without repeating characters through hands-on code implementation.

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