Java Program to Find the Maximum Subarray Sum using Naive Method

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This is a Java Program to find maximum subarray sum of an array. A subarray is a continuous portion of an array. The time complexity of the following program is O (n2).

Here is the source code of the Java program to find maximum subarray sum. The Java program is successfully compiled and run on a Windows system. The program output is also shown below.

  1. /*
  2.  * Java Program to Find the maximum subarray sum O(n^2)time 
  3.  * (naive method)
  4.  */
  5. import java.util.Scanner;
  6.  
  7. public class MaxSubarraySum1
  8. {
  9.     public static void main(String[] args) 
  10.     {
  11.         Scanner scan = new Scanner(System.in);
  12.         System.out.println("Enter number of elements in array");
  13.         int N = scan.nextInt();
  14.         int[] arr = new int[ N ];
  15.         /* Accept N elements */
  16.         System.out.println("Enter "+ N +" elements");
  17.         for (int i = 0; i < N; i++)
  18.             arr[i] = scan.nextInt();
  19.         System.out.println("Max sub array sum  = "+ max_sum(arr));
  20.     }
  21.     public static int max_sum(int[] arr)
  22.     {
  23.         int N = arr.length, max = Integer.MIN_VALUE;
  24.         for (int i = 0; i < N; i++)
  25.         {
  26.             int sum = 0;
  27.             for (int j = i; j < N; j++)
  28.             {
  29.                 sum += arr[j];
  30.                 if (sum > max)
  31.                     max = sum;
  32.             }
  33.         }
  34.         return max;    
  35.     }
  36. }

Enter number of elements in array
8
Enter 8 elements
-2 -5 6 -2 -3 1 5 -6
Max sub array sum  = 7

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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