Sum of unique sub-array sums Last Updated : 08 Jul, 2025 Comments Improve Suggest changes Like Article Like Report Given an array of n-positive elements. The sub-array sum is defined as the sum of all elements of a particular sub-array, the task is to find the sum of all unique sub-array sum. Note: Unique Sub-array sum means no other sub-array will have the same sum value. Examples:Input : arr[] = {3, 4, 5} Output : 40 Explanation: All possible unique sub-array with their sum are as: (3), (4), (5), (3+4), (4+5), (3+4+5). Here all are unique so required sum = 40Input : arr[] = {2, 4, 2} Output : 12 Explanation: All possible unique sub-array with their sum are as: (2), (4), (2), (2+4), (4+2), (2+4+2). Here only (4) and (2+4+2) are unique.[Naive Approach] - Sorting - O(n2 Log n) Time and O(n2) SpaceCalculate the cumulative sum of an array. Store all sub-array sum in vector. Sort the vector. Mark all duplicate sub-array sum to zero Calculate and return totalSum. C++ #include <bits/stdc++.h> using namespace std; int findSubarraySum(vector<int> &arr) { int n = arr.size(); vector<int> subArrSum; // Generate all subarray sums and store them in a vector for (int i = 0; i < n; i++) { int sum = 0; for (int j = i; j < n; j++) { sum += arr[j]; subArrSum.push_back(sum); } } // Sort the vector to group duplicate sums together sort(subArrSum.begin(), subArrSum.end()); // Sum only unique subarray sums int m = subArrSum.size(); int totalSum = 0; if (m == 1) return subArrSum[0]; // Explicitely handle the first element if (subArrSum[0] != subArrSum[1]) totalSum += subArrSum[0]; // Process Middle Elements for (int i = 1; i < m - 1; i++) { if (subArrSum[i] != subArrSum[i+1] && subArrSum[i] != subArrSum[i-1]) { totalSum += subArrSum[i]; } } // Explicitely handle the last element if (subArrSum[m-1] != subArrSum[m-2]) totalSum += subArrSum[m-1]; return totalSum; } int main() { vector<int> arr = {3, 2, 3, 1, 4}; cout << findSubarraySum(arr); return 0; } Java import java.util.ArrayList; import java.util.Collections; import java.util.List; public class Main { public static int findSubarraySum(int[] arr) { int n = arr.length; List<Integer> subArrSum = new ArrayList<>(); // Generate all subarray sums and store them in a list for (int i = 0; i < n; i++) { int sum = 0; for (int j = i; j < n; j++) { sum += arr[j]; subArrSum.add(sum); } } // Sort the list to group duplicate sums together Collections.sort(subArrSum); // Sum only unique subarray sums int m = subArrSum.size(); int totalSum = 0; if (m == 1) return subArrSum.get(0); // Explicitely handle the first element if (!subArrSum.get(0).equals(subArrSum.get(1))) totalSum += subArrSum.get(0); // Process Middle Elements for (int i = 1; i < m - 1; i++) { if (!subArrSum.get(i).equals(subArrSum.get(i + 1)) && !subArrSum.get(i).equals(subArrSum.get(i - 1))) { totalSum += subArrSum.get(i); } } // Explicitely handle the last element if (!subArrSum.get(m - 1).equals(subArrSum.get(m - 2))) totalSum += subArrSum.get(m - 1); return totalSum; } public static void main(String[] args) { int[] arr = {3, 2, 3, 1, 4}; System.out.println(findSubarraySum(arr)); } } Python def find_subarray_sum(arr): n = len(arr) sub_arr_sum = [] # Generate all subarray sums and store them in a list for i in range(n): sum_ = 0 for j in range(i, n): sum_ += arr[j] sub_arr_sum.append(sum_) # Sort the list to group duplicate sums together sub_arr_sum.sort() # Sum only unique subarray sums m = len(sub_arr_sum) total_sum = 0 if m == 1: return sub_arr_sum[0] # Explicitly handle the first element if m > 1 and sub_arr_sum[0] != sub_arr_sum[1]: total_sum += sub_arr_sum[0] # Process Middle Elements for i in range(1, m - 1): if sub_arr_sum[i] != sub_arr_sum[i + 1] and sub_arr_sum[i] != sub_arr_sum[i - 1]: total_sum += sub_arr_sum[i] # Explicitly handle the last element if m > 1 and sub_arr_sum[m - 1] != sub_arr_sum[m - 2]: total_sum += sub_arr_sum[m - 1] return total_sum arr = [3, 2, 3, 1, 4] print(find_subarray_sum(arr)) C# // C# implementation to find the sum of unique subarray sums using System; using System.Collections.Generic; using System.Linq; class Program { static int FindSubarraySum(int[] arr) { int n = arr.Length; List<int> subArrSum = new List<int>(); // Generate all subarray sums and store them in a list for (int i = 0; i < n; i++) { int sum = 0; for (int j = i; j < n; j++) { sum += arr[j]; subArrSum.Add(sum); } } // Sort the list to group duplicate sums together subArrSum.Sort(); // Sum only unique subarray sums int m = subArrSum.Count; int totalSum = 0; if (m == 1) return subArrSum[0]; // Explicitly handle the first element if (subArrSum[0] != subArrSum[1]) totalSum += subArrSum[0]; // Process Middle Elements for (int i = 1; i < m - 1; i++) { if (subArrSum[i] != subArrSum[i + 1] && subArrSum[i] != subArrSum[i - 1]) { totalSum += subArrSum[i]; } } // Explicitly handle the last element if (subArrSum[m - 1] != subArrSum[m - 2]) totalSum += subArrSum[m - 1]; return totalSum; } static void Main() { int[] arr = { 3, 2, 3, 1, 4 }; Console.WriteLine(FindSubarraySum(arr)); } } JavaScript function findSubarraySum(arr) { let n = arr.length; let subArrSum = []; // Generate all subarray sums and store them in an array for (let i = 0; i < n; i++) { let sum = 0; for (let j = i; j < n; j++) { sum += arr[j]; subArrSum.push(sum); } } // Sort the array to group duplicate sums together subArrSum.sort((a, b) => a - b); // Sum only unique subarray sums let m = subArrSum.length; let totalSum = 0; if (m === 1) return subArrSum[0]; // Explicitely handle the first element if (subArrSum[0] !== subArrSum[1]) totalSum += subArrSum[0]; // Process Middle Elements for (let i = 1; i < m - 1; i++) { if (subArrSum[i] !== subArrSum[i + 1] && subArrSum[i] !== subArrSum[i - 1]) { totalSum += subArrSum[i]; } } // Explicitely handle the last element if (subArrSum[m - 1] !== subArrSum[m - 2]) totalSum += subArrSum[m - 1]; return totalSum; } const arr = [3, 2, 3, 1, 4]; console.log(findSubarraySum(arr)); Output41[Efficient Approach] - Hashing - O(n2) Time and O(n2) SpaceThe idea is to make an empty hash table. We generate all subarrays. For every subarray, we compute its sum and increment count of the sum in the hash table. Finally, we add all those sums whose count is 1. C++ #include <bits/stdc++.h> using namespace std; // function for finding grandSum long long int findSubarraySum(vector<int>& arr) { long long int res = 0; // Go through all subarrays, compute sums // and count occurrences of sums. unordered_map<int, int> m; int n = arr.size(); for (int i = 0; i < n; i++) { int sum = 0; for (int j = i; j < n; j++) { sum += arr[j]; m[sum]++; } } // Print all those sums that appear // once. for (auto x : m) if (x.second == 1) res += x.first; return res; } // Driver code int main() { vector<int> arr = { 3, 2, 3, 1, 4 }; cout << findSubarraySum(arr); return 0; } Java // function for finding grandSum import java.util.HashMap; import java.util.Map; public class Main { public static int findSubarraySum(int[] arr) { int res = 0; // Go through all subarrays, compute sums // and count occurrences of sums. HashMap<Integer, Integer> m = new HashMap<>(); int n = arr.length; for (int i = 0; i < n; i++) { int sum = 0; for (int j = i; j < n; j++) { sum += arr[j]; m.put(sum, m.getOrDefault(sum, 0) + 1); } } // Print all those sums that appear // once. for (Map.Entry<Integer, Integer> x : m.entrySet()) if (x.getValue() == 1) res += x.getKey(); return res; } public static void main(String[] args) { int[] arr = { 3, 2, 3, 1, 4 }; System.out.println(findSubarraySum(arr)); } } Python # function for finding grandSum def find_subarray_sum(arr): res = 0 # Go through all subarrays, compute sums # and count occurrences of sums. m = {} n = len(arr) for i in range(n): sum = 0 for j in range(i, n): sum += arr[j] m[sum] = m.get(sum, 0) + 1 # Print all those sums that appear # once. for x in m: if m[x] == 1: res += x return res # Driver code arr = [3, 2, 3, 1, 4] print(find_subarray_sum(arr)) C# using System; using System.Collections.Generic; public class MainClass { public static int FindSubarraySum(int[] arr) { int res = 0; // Go through all subarrays, compute sums // and count occurrences of sums. Dictionary<int, int> m = new Dictionary<int, int>(); int n = arr.Length; for (int i = 0; i < n; i++) { int sum = 0; for (int j = i; j < n; j++) { sum += arr[j]; if (m.ContainsKey(sum)) { m[sum]++; } else { m[sum] = 1; } } } // Print all those sums that appear // once. foreach (var x in m) { if (x.Value == 1) res += x.Key; } return res; } public static void Main(string[] args) { int[] arr = { 3, 2, 3, 1, 4 }; Console.WriteLine(FindSubarraySum(arr)); } } JavaScript // function for finding grandSum function findSubarraySum(arr) { let res = 0; // Go through all subarrays, compute sums // and count occurrences of sums. const m = {}; const n = arr.length; for (let i = 0; i < n; i++) { let sum = 0; for (let j = i; j < n; j++) { sum += arr[j]; m[sum] = (m[sum] || 0) + 1; } } // Print all those sums that appear // once. for (const x in m) { if (m[x] === 1) { res += Number(x); } } return res; } // Driver code const arr = [3, 2, 3, 1, 4]; console.log(findSubarraySum(arr)); Output41 Comment More infoAdvertise with us Next Article Analysis of Algorithms S Shivam.Pradhan Follow Improve Article Tags : Sorting Hash DSA Arrays subarray cpp-unordered_map +2 More Practice Tags : ArraysHashSorting 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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