In the sliding window technique, we maintain a window that satisfies the problem constraints. The window is unstable if it violates the problem constraints, and it tries to stabilize by increasing or decreasing its size.
Following are some of the commonly asked interview questions that use the sliding window technique:
Given a string and a positive number k , find the longest substring of the string containing k distinct characters. If k is more than the total number of distinct characters in the string, return the whole string.
Find all substrings of a string that contains all characters of another string. In other words, find all substrings of the first string that are anagrams of the second string.
Given a string, find the longest substring containing distinct characters.
Given a binary array, find the index of 0 to be replaced with 1 to get a maximum length sequence of continuous ones.
Given a binary array, find the maximum sequence of continuous 1’s that can be formed by replacing at most k zeroes by ones.
Given an integer array, find the minimum sum subarray of size k , where k is a positive integer.
Given an integer array, find a subarray having a given sum in it.
Given an array of positive integers, find the smallest subarray’s length whose sum of elements is greater than a given number k .
Given an array and an integer k , find the count of distinct elements in every subarray of size k .
Given an integer array, print all maximum size subarrays having all distinct elements in them.
Given an array of sorted integers that may contain several duplicate elements, count the total number of distinct absolute values in it.
Given an array and a positive number k , check whether the array contains any duplicate elements within the range k . If k is more than the array’s size, the solution should check for duplicates in the complete array.
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