In the problem “Maximum Product of Two Elements in an Array”, our goal is to find two indices **i **and **j **in a given array of integers **a**, such that the product (a[i] – 1) * (a[j] – 1) is maximum. The array has at least 2 elements and all elements are positive. The problem that the required product fits in the integer range. We need to print the value of (a[i] – 1) * (a[j] – 1) for optimal **i** & **j**.

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## Example

a = {1 , 4 , 5 , 3 , 6 , 4}

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## Explanation

Clearly, 6 and 5 are the largest and the second-largest numbers. So, product = (a[i] – 1) * (a[j] – 1) = 20.

## Approach(Sorting)

The product:** (a[i] – 1) * (a[j] – 1)** will be maximum when a[i] and a[j] are the two largest elements in the array. Instead of finding two indices i and j containing the two greatest elements, we can **sort** the array in ascending order. This will make sure that the two largest elements are at the end. Hence, the product **(a[n – 1] – 1) * (a[n – 2] – 1) **will be the required result.

### Algorithm

- Sort the array
- Print the result: (a[n – 1] – 1) * (a[n – 2] – 1)

### Implementation of algorithm to find Maximum Product of Two Elements in an Array

#### C++ Program

#include <bits/stdc++.h> using namespace std; int maxProduct(vector <int> &a) { int n = a.size(); sort(a.begin() , a.end()); return ((a[n - 1] - 1) * (a[n - 2] - 1)); } int main() { vector <int> a = {1 , 4 , 5 , 3 , 6 , 4}; cout << maxProduct(a) << '\n'; }

#### Java Program

import java.util.Arrays; class maximum_product { public static void main(String args[]) { int[] a = {1 , 4 , 5 , 3 , 6 , 4}; System.out.println(maxProduct(a)); } static int maxProduct(int[] a) { int n = a.length; Arrays.sort(a); return (a[n - 1] - 1) * (a[n - 2] - 1); } }

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### Complexity Analysis of finding Maximum Product of Two Elements in an Array

#### Time Complexity

**O(NlogN)**, N = size of the array. We sort the array which takes O(NlogN) time.

#### Space complexity

**O(1)**, as we use constant memory space.

## Approach(Optimal)

As we discussed above, we need to find the two greatest elements in the array. By sorting the whole array, we **overdo** the required work. So, it is optimal to find the first and second-largest element in the array by simple comparing operations. Hence, the required result can be obtained as **(firstMax – 1) * (secondMax – 1)**.

### Algorithm

- Initialize two variables: firstMax and secondMax as zero(so that any value in the array updates them intially).
- Run a loop from the start of the array to its end.
- For every element:
- Check if it is greater than firstMax:
- If true:
- Set secondMax = firstMax
- Update firstMax = current-element

- Else:
- If it is greater than secondMax
- Update secondMax = current-element

- If it is greater than secondMax

- If true:

- Check if it is greater than firstMax:
- Print the result

### Implementation of algorithm to find Maximum Product of Two Elements in an Array Leetcode Solution

#### C++ Program

#include <bits/stdc++.h> using namespace std; int maxProduct(vector <int> &a) { int firstMax = 0 , secondMax = 0 , n = a.size(); for(int i = 0 ; i < n ; i++) if(a[i] > firstMax) { secondMax = firstMax; firstMax = a[i]; } else if(a[i] > secondMax) secondMax = a[i]; return (firstMax - 1) * (secondMax - 1); } int main() { vector <int> a = {1 , 4 , 5 , 3 , 6 , 4}; cout << maxProduct(a) << '\n'; }

#### Java Program

class maximum_product { public static void main(String args[]) { int[] a = {1 , 4 , 5 , 3 , 6 , 4}; System.out.println(maxProduct(a)); } static int maxProduct(int[] a) { int firstMax = 0 , secondMax = 0 , n = a.length; for(int i = 0 ; i < n ; i++) if(a[i] > firstMax) { secondMax = firstMax; firstMax = a[i]; } else if(a[i] > secondMax) secondMax = a[i]; return (firstMax - 1) * (secondMax - 1); } }

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### Complexity Analysis of finding Maximum Product of Two Elements in an Array Leetcode Solution

#### Time Complexity

**O(N), N = **Size of the array. We run a linear loop for simple compare operations.

#### Space complexity

**O(1), **as constant memory is used.