Count triplets (i, j, k) in an array of distinct elements such that a[i] a[k] and i < j < k Last Updated : 23 Jul, 2025 Comments Improve Suggest changes Like Article Like Report Given an array arr[] consisting of N distinct integers, the task is to count the number of triplets (i, j, k) possible from the array arr[] such that i < j < k and arr[i] < arr[j] > arr[k]. Examples: Input: arr[] = {2, 3, 1, -1}Output: 2Explanation: From the given array, all possible triplets satisfying the property (i, j, k) and arr[i] < arr[j] > arr[k] are: (0, 1, 2): arr[0](= 2) < arr[1](= 3) > arr[2](= 1).(0, 1, 3): arr[0](= 2) < arr[1](= 3) > arr[3](= -1). Therefore, the count of triplets is 2. Input: arr[] = {2, 3, 4, 6, 7, 9, 1, 12, 10, 8}Output: 41 Naive Approach: The simplest approach to solve the problem is to traverse the given array and for each element arr[i], the product of the count of smaller elements on the left side of arr[i] and the count of smaller elements on the right side of arr[i] gives the count of triplets for the element arr[i] as the middle element. The sum of all the counts obtained for each index is the required number of valid triplets. Time Complexity: O(N2)Auxiliary Space: O(1) Efficient Approach: The above approach can also be optimized by finding the count of smaller elements using a Policy-based data structure (PBDS). Follow the steps below to solve the problem: Initialize the variable, say ans to 0 that stores the total number of possible pairs.Initialize two containers of the Policy-based data structure, say P and Q.Initialize a vector of pairs V, where V[i]. first and V[i].second stores the count of smaller elements on the left and the right side of every array element arr[i].Traverse the given array and for each element arr[i], update the value of V[i].first as P.order_of_key(arr[i]) and insert arr[i] to set P.Traverse the array from right to left and for each element arr[i], update the value of V[i].first as P.order_of_key(arr[i]) and insert arr[i] to set Q.Traverse the vector of pairs V and add the value of V[i].first * V[i].second to the variable ans.After completing the above steps, print the value of ans as the total number of pairs. Below is the implementation of the above approach: C++ // C++ program for the above approach #include <ext/pb_ds/assoc_container.hpp> #include <ext/pb_ds/tree_policy.hpp> #include <functional> #include <iostream> using namespace __gnu_pbds; using namespace std; // Function to find the count of triplets // satisfying the given conditions void findTriplets(int arr[], int n) { // Stores the total count of pairs int ans = 0; // Declare the set tree<int, null_type, less<int>, rb_tree_tag, tree_order_statistics_node_update> p, q; // Declare the vector of pairs vector<pair<int, int> > v(n); // Iterate over the array from // left to right for (int i = 0; i < n; i++) { // Find the index of element // in sorted array int index = p.order_of_key(arr[i]); // Assign to the left v[i].first = index; // Insert into the set p.insert(arr[i]); } // Iterate from right to left for (int i = n - 1; i >= 0; i--) { // Find the index of element // in the sorted array int index = q.order_of_key(arr[i]); // Assign to the right v[i].second = index; // Insert into the set q.insert(arr[i]); } // Traverse the vector of pairs for (int i = 0; i < n; i++) { ans += (v[i].first * v[i].second); } // Print the total count cout << ans; } // Driver Code int main() { int arr[] = { 2, 3, 1, -1 }; int N = sizeof(arr) / sizeof(arr[0]); findTriplets(arr, N); return 0; } Java import java.util.ArrayList; import java.util.List; public class Main { // Function to find the count of triplets // satisfying the given conditions public static void findTriplets(int[] arr, int n) { // Stores the total count of pairs int ans = 0; // Declare the list of pairs List<Pair<Integer, Integer>> v = new ArrayList<>(); // Iterate over the array from // left to right for (int i = 0; i < n; i++) { // Find the index of element // in sorted array int index = 0; for (int j = 0; j < i; j++) { if (arr[j] < arr[i]) { index++; } } // Assign to the left v.add(new Pair<>(index, 0)); } // Iterate from right to left for (int i = n - 1; i >= 0; i--) { // Find the index of element // in the sorted array int index = 0; for (int j = n - 1; j > i; j--) { if (arr[j] < arr[i]) { index++; } } // Assign to the right v.get(i).setValue(index); } // Traverse the list of pairs for (int i = 0; i < n; i++) { ans += (v.get(i).getKey() * v.get(i).getValue()); } // Print the total count System.out.println(ans); } public static void main(String[] args) { int[] arr = { 2, 3, 1, -1 }; int N = arr.length; findTriplets(arr, N); } } class Pair<K, V> { private K key; private V value; public Pair(K key, V value) { this.key = key; this.value = value; } public void setKey(K key) { this.key = key; } public void setValue(V value) { this.value = value; } public K getKey() { return key; } public V getValue() { return value; } } // This code is contributed by aadityaburujwale. Python3 import bisect def findTriplets(arr, n): # Stores the total count of pairs ans = 0 # Declare the lists p = [] q = [] # Iterate over the array from left to right for i in range(n): # Find the index of element in sorted array index = bisect.bisect_left(p, arr[i]) # Insert into the list p.insert(index, arr[i]) # Iterate from right to left for i in range(n-1, -1, -1): # Find the index of element in the sorted array index = bisect.bisect_left(q, arr[i]) # Insert into the list q.insert(index, arr[i]) ans = 0 for i in range(n): for j in range(i+1, n): for k in range(j+1, n): if arr[i] < arr[j] > arr[k]: ans += 1 print(ans) # Driver Code arr = [2, 3, 1, -1] n = len(arr) findTriplets(arr, n) # This code is contributed by Vikram_Shirsat C# using System; using System.Collections.Generic; class GFG { public static void findTriplets(int[] arr, int n) { // Stores the total count of pairs int ans = 0; // Declare the list of pairs List<KeyValuePair<int, int>> v = new List<KeyValuePair<int, int>>(); // Iterate over the array from // left to right for (int i = 0; i < n; i++) { // Find the index of element // in sorted array int index = 0; for (int j = 0; j < i; j++) { if (arr[j] < arr[i]) { index++; } } // Assign to the left v.Add(new KeyValuePair<int, int>(index, 0)); } // Iterate from right to left for (int i = n - 1; i >= 0; i--) { // Find the index of element // in the sorted array int index = 0; for (int j = n - 1; j > i; j--) { if (arr[j] < arr[i]) { index++; } } // Assign to the right v[i] = new KeyValuePair<int, int>(v[i].Key, index); } // Traverse the list of pairs for (int i = 0; i < n; i++) { ans += (v[i].Key * v[i].Value); } // Print the total count Console.WriteLine(ans); } public static void Main(string[] args) { int[] arr = { 2, 3, 1, -1 }; int N = arr.Length; findTriplets(arr, N); } } // This code is contributed by phasing17. JavaScript // Function to find the count of triplets // satisfying the given conditions function findTriplets(arr, n) { // Stores the total count of pairs let ans = 0; // Declare the list of pairs let v = new Array(); // Iterate over the array from left to right for (let i = 0; i < n; i++) { // Find the index of element in sorted array let index = 0; for (let j = 0; j < i; j++) { if (arr[j] < arr[i]) { index++; } } // Assign to the left v.push({ left: index, right: 0 }); } // Iterate from right to left for (let i = n - 1; i >= 0; i--) { // Find the index of element in the sorted array let index = 0; for (let j = n - 1; j > i; j--) { if (arr[j] < arr[i]) { index++; } } // Assign to the right v[i].right = index; } // Traverse the list of pairs for (let i = 0; i < n; i++) { ans += (v[i].left * v[i].right); } // Print the total count console.log(ans); } let arr = [2, 3, 1, -1]; let N = arr.length; findTriplets(arr, N); // this code is contributed by devendra Output:2 Time Complexity: O(N * log N)Auxiliary Space: O(N) Comment More infoAdvertise with us Next Article Analysis of Algorithms R ramandeep8421 Follow Improve Article Tags : DSA 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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