Given an array, arr[] of size N and a positive integer M, the task is to find the maximum subarray product modulo M and the minimum length of the maximum product subarray.
Examples:
Input: arr[] = {2, 3, 4, 2}, N = 4, M = 5
Output:
Maximum subarray product is 4
Minimum length of the maximum product subarray is 1
Explanation:
Subarrays of length 1 are {{2}, {3}, {4}, {2}} and their product modulo M(= 5) are {2, 3, 4, 2} respectively.
Subarrays of length 2 are {{2, 3}, {3, 4}, {4, 2}} and the product modulo M(= 5) are {1, 2, 3} respectively.
Subarrays of length 3 are {{2, 3, 4}, {3, 4, 2}} and the product modulo M(= 5) are {4, 4, } respectively.
Subarrays of length 4 is {2, 3, 4, 2} and the product modulo M(= 5) is 3.
Therefore, the maximum subarray product mod M(= 5) is 4 and smallest possible length is 1.Input: arr[] = {5, 5, 5}, N = 3, M = 7
Output:
Maximum subarray product is 6
Minimum length of the maximum product subarray is 3
Naive Approach: The simplest approach is to generate all possible subarrays and for each subarray, calculate its product modulo M and print the maximum subarray product and the minimum length of such subarray.
Time Complexity: O(N3)
Auxiliary Space: O(1)
Efficient Approach: The above approach can be optimized by calculating the product of subarray in the range [i, j] by multiplying arr[j] with the precalculated product of subarray in the range [i, j – 1]. Follow the steps below to solve the problem:
- Initialize two variables, say ans and length, to store the maximum subarray product and the minimum length of maximum product subarray.
- Iterate over the range [0, N – 1] and perform the following steps:
- Initialize a variable, say product, to store the product of subarray {arr[i], …, arr[j]}.
- Iterate over the range [i, N-1] and update the product by multiplying it by arr[j], i.e. (product * arr[j]) % M.
- In every iteration, update ans if ans < product and then update length, if length > (j – i + 1).
- Finally, print the maximum subarray product obtained in ans and minimum length of subarray having the maximum product, length.
Below is the implementation of the above approach:
C++
// C++ program for above approach #include <bits/stdc++.h> using namespace std; // Function to find maximum subarray product // modulo M and minimum length of the subarray void maxModProdSubarr( int arr[], int n, int M) { // Stores maximum subarray product modulo // M and minimum length of the subarray int ans = 0; // Stores the minimum length of // subarray having maximum product int length = n; // Traverse the array for ( int i = 0; i < n; i++) { // Stores the product of a subarray int product = 1; // Calculate Subarray whose start // index is i for ( int j = i; j < n; j++) { // Multiply product by arr[i] product = (product * arr[i]) % M; // If product greater than ans if (product > ans) { // Update ans ans = product; if (length > j - i + 1) { // Update length length = j - i + 1; } } } } // Print maximum subarray product mod M cout << "Maximum subarray product is " << ans << endl; // Print minimum length of subarray // having maximum product cout << "Minimum length of the maximum product " << "subarray is " << length << endl; } // Drivers Code int main() { int arr[] = { 2, 3, 4, 2 }; int N = sizeof (arr) / sizeof (arr[0]); int M = 5; maxModProdSubarr(arr, N, M); return 0; } |
Java
// Java program for the above approach import java.io.*; import java.util.*; class GFG{ // Function to find maximum subarray product // modulo M and minimum length of the subarray static void maxModProdSubarr( int arr[], int n, int M) { // Stores maximum subarray product modulo // M and minimum length of the subarray int ans = 0 ; // Stores the minimum length of // subarray having maximum product int length = n; // Traverse the array for ( int i = 0 ; i < n; i++) { // Stores the product of a subarray int product = 1 ; // Calculate Subarray whose start // index is i for ( int j = i; j < n; j++) { // Multiply product by arr[i] product = (product * arr[i]) % M; // If product greater than ans if (product > ans) { // Update ans ans = product; if (length > j - i + 1 ) { // Update length length = j - i + 1 ; } } } } // Print maximum subarray product mod M System.out.println( "Maximum subarray product is " + ans); // Print minimum length of subarray // having maximum product System.out.println( "Minimum length of the maximum " + "product subarray is " + length); } // Driver Code public static void main(String[] args) { int arr[] = { 2 , 3 , 4 , 2 }; int N = arr.length; int M = 5 ; maxModProdSubarr(arr, N, M); } } // This code is contributed by Kingash |
Python3
# Python3 program for above approach # Function to find maximum subarray product # modulo M and minimum length of the subarray def maxModProdSubarr(arr, n, M): # Stores maximum subarray product modulo # M and minimum length of the subarray ans = 0 # Stores the minimum length of # subarray having maximum product length = n # Traverse the array for i in range (n): # Stores the product of a subarray product = 1 # Calculate Subarray whose start # index is i for j in range (i, n, 1 ): # Multiply product by arr[i] product = (product * arr[i]) % M # If product greater than ans if (product > ans): # Update ans ans = product if (length > j - i + 1 ): # Update length length = j - i + 1 # Print maximum subarray product mod M print ( "Maximum subarray product is" , ans) # Print minimum length of subarray # having maximum product print ( "Minimum length of the maximum product subarray is" ,length) # Drivers Code if __name__ = = '__main__' : arr = [ 2 , 3 , 4 , 2 ] N = len (arr) M = 5 maxModProdSubarr(arr, N, M) # This code is contributed by ipg2016107. |
C#
// C# program for above approach using System; class GFG{ // Function to find maximum subarray product // modulo M and minimum length of the subarray static void maxModProdSubarr( int [] arr, int n, int M) { // Stores maximum subarray product modulo // M and minimum length of the subarray int ans = 0; // Stores the minimum length of // subarray having maximum product int length = n; // Traverse the array for ( int i = 0; i < n; i++) { // Stores the product of a subarray int product = 1; // Calculate Subarray whose start // index is i for ( int j = i; j < n; j++) { // Multiply product by arr[i] product = (product * arr[i]) % M; // If product greater than ans if (product > ans) { // Update ans ans = product; if (length > j - i + 1) { // Update length length = j - i + 1; } } } } // Print maximum subarray product mod M Console.WriteLine( "Maximum subarray product is " + ans); // Print minimum length of subarray // having maximum product Console.WriteLine( "Minimum length of the maximum " + "product subarray is " + length); } // Driver code static void Main() { int [] arr = { 2, 3, 4, 2 }; int N = arr.Length; int M = 5; maxModProdSubarr(arr, N, M); } } // This code is contributed by code_hunt |
Javascript
<script> // javascript program for the above approach // Function to find maximum subarray product // modulo M and minimum length of the subarray function maxModProdSubarr(arr , n , M) { // Stores maximum subarray product modulo // M and minimum length of the subarray var ans = 0; // Stores the minimum length of // subarray having maximum product var length = n; // Traverse the array for (i = 0; i < n; i++) { // Stores the product of a subarray var product = 1; // Calculate Subarray whose start // index is i for (j = i; j < n; j++) { // Multiply product by arr[i] product = (product * arr[i]) % M; // If product greater than ans if (product > ans) { // Update ans ans = product; if (length > j - i + 1) { // Update length length = j - i + 1; } } } } // Print maximum subarray product mod M document.write( "Maximum subarray product is " + ans+ "<br/>" ); // Print minimum length of subarray // having maximum product document.write( "Minimum length of the maximum " + "product subarray is " + length); } // Driver Code var arr = [ 2, 3, 4, 2 ]; var N = arr.length; var M = 5; maxModProdSubarr(arr, N, M); // This code is contributed by umadevi9616. </script> |
Maximum subarray product is 4 Minimum length of the maximum product subarray is 1
Time Complexity: O(N2)
Auxiliary Space: O(1)
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