Practice Problems on Sliding Window Technique

What is Sliding Window Technique?

Sliding Window Technique is a method used to efficiently solve problems that involve defining a window or range in the input data (arrays or strings) and then moving that window across the data to perform some operation within the window. This technique is commonly used in algorithms like finding subarrays with a specific sum, finding the longest substring with unique characters, or solving problems that require a fixed-size window to process elements efficiently....

How to use Sliding Window Technique?

There are basically two types of sliding window:...

How to Identify Sliding Window Problems:

These problems generally require Finding Maximum/Minimum Subarray, Substrings which satisfy some specific condition.The size of the subarray or substring ‘K’ will be given in some of the problems.These problems can easily be solved in O(N2) time complexity using nested loops, using sliding window we can solve these in O(n) Time Complexity.Required Time Complexity: O(N) or O(Nlog(N))Constraints: N <= 106 , If N is the size of the Array/String....

Use Cases of Sliding Window Technique:

1. To find the maximum sum of all subarrays of size K:...

Practice Problems on Sliding Window Technique:

Problem Problem Link Find Subarray with given sum Solve Sliding Window Maximum (Maximum of all subarrays of size K) Solve Longest Sub-Array with Sum K Solve Find maximum (or minimum) sum of a subarray of size k Solve Smallest window in a String containing all characters of other String Solve Length of the longest substring without repeating characters Solve First negative integer in every window of size k Solve Count distinct elements in every window of size k Solve Smallest window that contains all characters of string itself Solve Largest sum subarray with at-least k numbers Solve...