Wednesday, July 3, 2024
HomeData ModellingData Structure & AlgorithmCount the triplets such that A < B < C

Count the triplets such that A[i] < B[j] < C[k]

Given three array A[], B[] and C[] of N integers each. The task is to find the count of triplets (A[i], B[j], C[k]) such that A[i] < B[j] < C[k].
 

Input: A[] = {1, 5}, B[] = {2, 4}, C[] = {3, 6} 
Output:
Triplets are (1, 2, 3), (1, 4, 6) and (1, 2, 6)
Input: A[] = {1, 1, 1}, B[] = {2, 2, 2}, C[] = {3, 3, 3} 
Output: 27 
 

 

Approach: Sort all the given arrays. Now fix an element say X in array B[] and for each X, the answer will be the product of the count of elements in array A[] which are less than X and the count of elements in array C[] which are greater than X. We can compute both of these counts using modified binary search.
Below is the implementation of the above approach: 
 

C++




// C++ implementation of the approach
#include <bits/stdc++.h>
using namespace std;
 
// Function to return the count
// of elements in arr[] which are
// less than the given key
int countLessThan(int arr[], int n, int key)
{
    int l = 0, r = n - 1;
    int index = -1;
 
    // Modified binary search
    while (l <= r) {
        int m = (l + r) / 2;
 
        if (arr[m] < key) {
            l = m + 1;
            index = m;
        }
        else {
            r = m - 1;
        }
    }
 
    return (index + 1);
}
 
// Function to return the count
// of elements in arr[] which are
// greater than the given key
int countGreaterThan(int arr[], int n, int key)
{
    int l = 0, r = n - 1;
    int index = -1;
 
    // Modified binary search
    while (l <= r) {
        int m = (l + r) / 2;
 
        if (arr[m] <= key) {
            l = m + 1;
        }
        else {
            r = m - 1;
            index = m;
        }
    }
 
    if (index == -1)
        return 0;
    return (n - index);
}
 
// Function to return the count
// of the required triplets
int countTriplets(int n, int* a, int* b, int* c)
{
    // Sort all three arrays
    sort(a, a + n);
    sort(b, b + n);
    sort(c, c + n);
 
    int count = 0;
 
    // Iterate for all the elements of array B
    for (int i = 0; i < n; ++i) {
        int current = b[i];
        int a_index = -1, c_index = -1;
 
        // Count of elements in A[]
        // which are less than the
        // chosen element from B[]
        int low = countLessThan(a, n, current);
 
        // Count of elements in C[]
        // which are greater than the
        // chosen element from B[]
        int high = countGreaterThan(c, n, current);
 
        // Update the count
        count += (low * high);
    }
 
    return count;
}
 
// Driver code
int main()
{
    int a[] = { 1, 5 };
    int b[] = { 2, 4 };
    int c[] = { 3, 6 };
    int size = sizeof(a) / sizeof(a[0]);
 
    cout << countTriplets(size, a, b, c);
 
    return 0;
}


Java




// Java implementation of the approach
import java.util.*;
 
class GFG
{
 
    // Function to return the count
    // of elements in arr[] which are
    // less than the given key
    static int countLessThan(int arr[], int n, int key)
    {
        int l = 0, r = n - 1;
        int index = -1;
     
        // Modified binary search
        while (l <= r)
        {
            int m = (l + r) / 2;
     
            if (arr[m] < key)
            {
                l = m + 1;
                index = m;
            }
            else
            {
                r = m - 1;
            }
        }
     
        return (index + 1);
    }
     
    // Function to return the count
    // of elements in arr[] which are
    // greater than the given key
    static int countGreaterThan(int arr[], int n, int key)
    {
        int l = 0, r = n - 1;
        int index = -1;
     
        // Modified binary search
        while (l <= r)
        {
            int m = (l + r) / 2;
     
            if (arr[m] <= key)
            {
                l = m + 1;
            }
            else
            {
                r = m - 1;
                index = m;
            }
        }
     
        if (index == -1)
            return 0;
        return (n - index);
    }
     
    // Function to return the count
    // of the required triplets
    static int countTriplets(int n, int a[], int b[], int c[])
    {
        // Sort all three arrays
        Arrays.sort(a) ;
        Arrays.sort(b);
        Arrays.sort(c);
     
        int count = 0;
     
        // Iterate for all the elements of array B
        for (int i = 0; i < n; ++i)
        {
            int current = b[i];
         
     
            // Count of elements in A[]
            // which are less than the
            // chosen element from B[]
            int low = countLessThan(a, n, current);
     
            // Count of elements in C[]
            // which are greater than the
            // chosen element from B[]
            int high = countGreaterThan(c, n, current);
     
            // Update the count
            count += (low * high);
        }
     
        return count;
    }
     
    // Driver code
    public static void main(String args[])
    {
        int a[] = { 1, 5 };
        int b[] = { 2, 4 };
        int c[] = { 3, 6 };
        int size = a.length;
     
        System.out.println(countTriplets(size, a, b, c));
     
    }
}
// This code is contributed by Arnab Kundu


Python 3




# Python 3 implementation of the approach
 
# Function to return the count
# of elements in arr[] which are
# less than the given key
def countLessThan(arr, n, key):
    l = 0
    r = n - 1
    index = -1
 
    # Modified binary search
    while (l <= r):
        m = (l + r) // 2
 
        if (arr[m] < key) :
            l = m + 1
            index = m
         
        else :
            r = m - 1
         
    return (index + 1)
 
# Function to return the count
# of elements in arr[] which are
# greater than the given key
def countGreaterThan(arr, n, key):
 
    l = 0
    r = n - 1
    index = -1
 
    # Modified binary search
    while (l <= r) :
        m = (l + r) // 2
 
        if (arr[m] <= key) :
            l = m + 1
        else :
            r = m - 1
            index = m
 
    if (index == -1):
        return 0
    return (n - index)
 
 
# Function to return the count
# of the required triplets
def countTriplets(n, a, b, c):
 
    # Sort all three arrays
    a.sort
    b.sort()
    c.sort()
 
    count = 0
 
    # Iterate for all the elements of array B
    for i in range(n):
        current = b[i]
        a_index = -1
        c_index = -1
 
        # Count of elements in A[]
        # which are less than the
        # chosen element from B[]
        low = countLessThan(a, n, current)
 
        # Count of elements in C[]
        # which are greater than the
        # chosen element from B[]
        high = countGreaterThan(c, n, current)
 
        # Update the count
        count += (low * high)
 
    return count
 
 
# Driver code
if __name__ == "__main__":
 
    a = [ 1, 5 ]
    b = [ 2, 4 ]
    c = [ 3, 6 ]
    size = len(a)
 
    print( countTriplets(size, a, b, c))
     
# This code is contributed by ChitraNayal


C#




// C# implementation of the approach
using System;
 
class GFG
{
 
    // Function to return the count
    // of elements in arr[] which are
    // less than the given key
    static int countLessThan(int []arr, int n, int key)
    {
        int l = 0, r = n - 1;
        int index = -1;
     
        // Modified binary search
        while (l <= r)
        {
            int m = (l + r) / 2;
     
            if (arr[m] < key)
            {
                l = m + 1;
                index = m;
            }
            else
            {
                r = m - 1;
            }
        }
     
        return (index + 1);
    }
     
    // Function to return the count
    // of elements in arr[] which are
    // greater than the given key
    static int countGreaterThan(int []arr, int n, int key)
    {
        int l = 0, r = n - 1;
        int index = -1;
     
        // Modified binary search
        while (l <= r)
        {
            int m = (l + r) / 2;
     
            if (arr[m] <= key)
            {
                l = m + 1;
            }
            else
            {
                r = m - 1;
                index = m;
            }
        }
     
        if (index == -1)
            return 0;
        return (n - index);
    }
     
    // Function to return the count
    // of the required triplets
    static int countTriplets(int n, int []a, int []b, int []c)
    {
        // Sort all three arrays
        Array.Sort(a) ;
        Array.Sort(b);
        Array.Sort(c);
     
        int count = 0;
     
        // Iterate for all the elements of array B
        for (int i = 0; i < n; ++i)
        {
            int current = b[i];
         
     
            // Count of elements in A[]
            // which are less than the
            // chosen element from B[]
            int low = countLessThan(a, n, current);
     
            // Count of elements in C[]
            // which are greater than the
            // chosen element from B[]
            int high = countGreaterThan(c, n, current);
     
            // Update the count
            count += (low * high);
        }
     
        return count;
    }
     
    // Driver code
    public static void Main()
    {
        int []a = { 1, 5 };
        int []b = { 2, 4 };
        int []c = { 3, 6 };
        int size = a.Length;
     
        Console.WriteLine(countTriplets(size, a, b, c));
     
    }
}
 
// This code is contributed by AnkitRai01


PHP




<?php
// PHP implementation of the approach
 
// Function to return the count
// of elements in arr[] which are
// less than the given key
function countLessThan(&$arr, $n, $key)
{
    $l = 0;
    $r = $n - 1;
    $index = -1;
 
    // Modified binary search
    while ($l <= $r)
    {
        $m = intval(($l + $r) / 2);
 
        if ($arr[$m] < $key)
        {
            $l = $m + 1;
            $index = $m;
        }
        else
        {
            $r = $m - 1;
        }
    }
 
    return ($index + 1);
}
 
// Function to return the count
// of elements in arr[] which are
// greater than the given key
function countGreaterThan(&$arr, $n, $key)
{
    $l = 0;
    $r = $n - 1;
    $index = -1;
 
    // Modified binary search
    while ($l <= $r)
    {
        $m = intval(($l + $r) / 2);
 
        if ($arr[$m] <= $key)
        {
            $l = $m + 1;
        }
        else
        {
            $r = $m - 1;
            $index = $m;
        }
    }
 
    if ($index == -1)
        return 0;
    return ($n - $index);
}
 
// Function to return the count
// of the required triplets
function countTriplets($n, &$a, &$b, &$c)
{
    // Sort all three arrays
    sort($a);
    sort($b);
    sort($c);
 
    $count = 0;
 
    // Iterate for all the elements of array B
    for ($i = 0; $i < $n; ++$i)
    {
        $current = $b[$i];
        $a_index = -1;
        $c_index = -1;
 
        // Count of elements in A[]
        // which are less than the
        // chosen element from B[]
        $low = countLessThan($a, $n, $current);
 
        // Count of elements in C[]
        // which are greater than the
        // chosen element from B[]
        $high = countGreaterThan($c, $n, $current);
 
        // Update the count
        $count += ($low * $high);
    }
 
    return $count;
}
 
// Driver code
$a = array( 1, 5 );
$b = array( 2, 4 );
$c = array( 3, 6 );
$size = sizeof($a);
 
echo countTriplets($size, $a, $b, $c);
 
// This code is contributed by ChitraNayal
?>


Javascript




<script>
 
// JavaScript implementation of the approach
 
 
// Function to return the count
    // of elements in arr[] which are
    // less than the given key
function countLessThan(arr,n,key)
{
    let l = 0, r = n - 1;
        let index = -1;
       
        // Modified binary search
        while (l <= r)
        {
            let m = Math.floor((l + r) / 2);
       
            if (arr[m] < key)
            {
                l = m + 1;
                index = m;
            }
            else
            {
                r = m - 1;
            }
        }
       
        return (index + 1);
}
 
    // Function to return the count
    // of elements in arr[] which are
    // greater than the given key
function countGreaterThan(arr,n,key)
{
    let l = 0, r = n - 1;
        let index = -1;
       
        // Modified binary search
        while (l <= r)
        {
           let m = Math.floor((l + r) / 2);
       
            if (arr[m] <= key)
            {
                l = m + 1;
            }
            else
            {
                r = m - 1;
                index = m;
            }
        }
       
        if (index == -1)
            return 0;
        return (n - index);
}
 
    // Function to return the count
    // of the required triplets
function countTriplets(n,a,b,c)
{
    // Sort all three arrays
        a.sort(function(e,f){return e-f;}) ;
        b.sort(function(e,f){return e-f;}) ;
        c.sort(function(e,f){return e-f;}) ;
         
       
        let count = 0;
       
        // Iterate for all the elements of array B
        for (let i = 0; i < n; ++i)
        {
            let current = b[i];
           
       
            // Count of elements in A[]
            // which are less than the
            // chosen element from B[]
            let low = countLessThan(a, n, current);
       
            // Count of elements in C[]
            // which are greater than the
            // chosen element from B[]
            let high = countGreaterThan(c, n, current);
       
            // Update the count
            count += (low * high);
        }
       
        return count;
}
 
// Driver code
let a=[1, 5 ];
let b=[2, 4];
let c=[3, 6 ];
let size = a.length;
document.write(countTriplets(size, a, b, c));
     
 
// This code is contributed by avanitrachhadiya2155
 
</script>


Output: 

3

 

Time Complexity: O(nlog(n))
Auxiliary Space: O(1)

Feeling lost in the world of random DSA topics, wasting time without progress? It’s time for a change! Join our DSA course, where we’ll guide you on an exciting journey to master DSA efficiently and on schedule.
Ready to dive in? Explore our Free Demo Content and join our DSA course, trusted by over 100,000 neveropen!

Nango Kalahttps://www.kala.co.za
Experienced Support Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Microsoft Excel, Customer Service, Microsoft Word, Technical Support, and Microsoft Office. Strong information technology professional with a Microsoft Certificate Solutions Expert (Privet Cloud) focused in Information Technology from Broadband Collage Of Technology.
RELATED ARTICLES

LEAVE A REPLY

Please enter your comment!
Please enter your name here

Most Popular

Recent Comments