Number of subarrays having absolute sum greater than K | Set-2 Last Updated : 12 Jul, 2025 Comments Improve Suggest changes Like Article Like Report Given an integer array arr[] of length N consisting of both positive and negative integers, the task is to find the number of sub-arrays with the absolute value of sum greater than a given positive number K. Examples: Input : arr[] = {-1, 0, 1}, K = 0 Output : 4 All possible sub-arrays and there total sum: {-1} = -1 {0} = 0 {1} = 1 {-1, 0} = -1 {0, 1} = 1 {-1, 0, 1} = 0 Thus, 4 sub-arrays have absolute value of sum greater than 0. Input : arr[] = {2, 3, 4}, K = 4 Output : 3 Approach: A similar approach that works on a positive integer array is discussed here.In this article, we will look at an algorithm that solves this problem for both positive and negative integers. Create a prefix-sum array of the given array.Sort the prefix-sum array.Create variable ans, find the number of elements in the prefix-sum array with value lesser than -K or greater than K, and initialize ans with this value.Now, iterate the sorted prefix-sum array and for every index i, find the index of the first element with a value greater than arr[i] + K. Let's say this index is j. Then ans can be updated as ans += N - j as the number of elements in the prefix-sum array larger than the value of arr[i]+K will be equal to N - j. To find the index j, perform binary search on prefix-sum array. Specifically, find the upper-bound on the value of prefix-sum[i] + k. Below is the implementation of the above approach: C++ // C++ implementation of the above approach #include <bits/stdc++.h> #define maxLen 30 using namespace std; // Function to find required value int findCnt(int arr[], int n, int k) { // Variable to store final answer int ans = 0; // Loop to find prefix-sum for (int i = 1; i < n; i++) { arr[i] += arr[i - 1]; if (arr[i] > k or arr[i] < -1 * k) ans++; } if (arr[0] > k || arr[0] < -1 * k) ans++; // Sorting prefix-sum array sort(arr, arr + n); // Loop to find upper_bound // for each element for (int i = 0; i < n; i++) ans += n - (upper_bound(arr, arr + n, arr[i] + k) - arr); // Returning final answer return ans; } // Driver code int main() { int arr[] = { -1, 4, -5, 6 }; int n = sizeof(arr) / sizeof(int); int k = 0; // Function to find required value cout << findCnt(arr, n, k); } Java // Java implementation of the approach import java.util.*; class GFG { static int maxLen = 30; // Function to find required value static int findCnt(int arr[], int n, int k) { // Variable to store final answer int ans = 0; // Loop to find prefix-sum for (int i = 1; i < n; i++) { arr[i] += arr[i - 1]; if (arr[i] > k || arr[i] < -1 * k) ans++; } if (arr[0] > k || arr[0] < -1 * k) ans++; // Sorting prefix-sum array Arrays.sort(arr); // Loop to find upper_bound // for each element for (int i = 0; i < n; i++) ans += n - upper_bound(arr, 0, n, arr[i] + k); // Returning final answer return ans; } static int upper_bound(int[] a, int low, int high, int element) { while(low < high) { int middle = low + (high - low)/2; if(a[middle] > element) high = middle; else low = middle + 1; } return low; } // Driver code public static void main(String[] args) { int arr[] = { -1, 4, -5, 6 }; int n = arr.length; int k = 0; // Function to find required value System.out.println(findCnt(arr, n, k)); } } // This code is contributed by 29AjayKumar C# // C# implementation of the approach using System; class GFG { // Function to find required value static int findCnt(int []arr, int n, int k) { // Variable to store final answer int ans = 0; // Loop to find prefix-sum for (int i = 1; i < n; i++) { arr[i] += arr[i - 1]; if (arr[i] > k || arr[i] < -1 * k) ans++; } if (arr[0] > k || arr[0] < -1 * k) ans++; // Sorting prefix-sum array Array.Sort(arr); // Loop to find upper_bound // for each element for (int i = 0; i < n; i++) ans += n - upper_bound(arr, 0, n, arr[i] + k); // Returning final answer return ans; } static int upper_bound(int[] a, int low, int high, int element) { while(low < high) { int middle = low + (high - low)/2; if(a[middle] > element) high = middle; else low = middle + 1; } return low; } // Driver code public static void Main() { int []arr = { -1, 4, -5, 6 }; int n = arr.Length; int k = 0; // Function to find required value Console.WriteLine(findCnt(arr, n, k)); } } // This code is contributed by AnkitRai01 Python3 # Python3 implementation of the above approach from bisect import bisect as upper_bound maxLen=30 # Function to find required value def findCnt(arr, n, k): # Variable to store final answer ans = 0 # Loop to find prefix-sum for i in range(1,n): arr[i] += arr[i - 1] if (arr[i] > k or arr[i] < -1 * k): ans+=1 if (arr[0] > k or arr[0] < -1 * k): ans+=1 # Sorting prefix-sum array arr=sorted(arr) # Loop to find upper_bound # for each element for i in range(n): ans += n - upper_bound(arr,arr[i] + k) # Returning final answer return ans # Driver code arr = [-1, 4, -5, 6] n = len(arr) k = 0 # Function to find required value print(findCnt(arr, n, k)) # This code is contributed by mohit kumar 29 JavaScript <script> // Javascript implementation of the above approach var maxLen = 30; function upper_bound(a, low, high, element) { while(low < high) { var middle = low + parseInt((high - low)/2); if(a[middle] > element) high = middle; else low = middle + 1; } return low; } // Function to find required value function findCnt(arr, n, k) { // Variable to store final answer var ans = 0; // Loop to find prefix-sum for (var i = 1; i < n; i++) { arr[i] += arr[i - 1]; if (arr[i] > k || arr[i] < -1 * k) ans++; } if (arr[0] > k || arr[0] < -1 * k) ans++; // Sorting prefix-sum array arr.sort((a,b)=>a-b) // Loop to find upper_bound // for each element for (var i = 0; i < n; i++) ans += (n - upper_bound(arr, 0, n, arr[i] + k)); // Returning final answer return ans; } // Driver code var arr = [ -1, 4, -5, 6 ]; var n = arr.length; var k = 0; // Function to find required value document.write( findCnt(arr, n, k)); </script> Output10 Time complexity : O(Nlog(N))Auxiliary Space: O(1), no extra space is required, so it is a constant Comment More infoAdvertise with us Next Article Analysis of Algorithms D DivyanshuShekhar1 Follow Improve Article Tags : Searching Sorting DSA Arrays Binary Search subarray subarray-sum +3 More Practice Tags : ArraysBinary SearchSearchingSorting Similar Reads Basics & PrerequisitesLogic Building ProblemsLogic building is about creating clear, step-by-step methods to solve problems using simple rules and principles. 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