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Merge pull request #1310 from zahinekbal/zahinekbal
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Added kadane's_algorithm By zahinekbal
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i-vishi authored Oct 7, 2020
2 parents a3a5f3a + 9fd0698 commit 6417c1f
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/*Largest Sum Contiguous Subarray
Write an efficient program to find the sum of contiguous subarray within a one-dimensional
array of numbers which has the largest sum.
Largest Subarray Sum Problem:-
-2 -3 4 -1 -2 1 5 -3
=>4 + (-1) + (-2) + 1 + 5 = 7
Maximum contiguous array sum is = 7;
Kadane’s Algorithm:
Initialize:
max_so_far = 0
max_ending_here = 0
Loop for each element of the array
(a) max_ending_here = max_ending_here + a[i]
(b) if(max_so_far < max_ending_here)
max_so_far = max_ending_here
(c) if(max_ending_here < 0)
max_ending_here = 0
return max_so_far
Explanation:
Simple idea of the Kadane’s algorithm is to look for all positive contiguous segments of the array (max_ending_here is used for this).
And keep track of maximum sum contiguous segment among all positive segments (max_so_far is used for this). Each time we get a positive sum
compare it with max_so_far and update max_so_far if it is greater than max_so_far
Lets take the example:
{-2, -3, 4, -1, -2, 1, 5, -3}
max_so_far = max_ending_here = 0
for i=0, a[0] = -2
max_ending_here = max_ending_here + (-2)
Set max_ending_here = 0 because max_ending_here < 0
for i=1, a[1] = -3
max_ending_here = max_ending_here + (-3)
Set max_ending_here = 0 because max_ending_here < 0
for i=2, a[2] = 4
max_ending_here = max_ending_here + (4)
max_ending_here = 4
max_so_far is updated to 4 because max_ending_here greater
than max_so_far which was 0 till now
for i=3, a[3] = -1
max_ending_here = max_ending_here + (-1)
max_ending_here = 3
for i=4, a[4] = -2
max_ending_here = max_ending_here + (-2)
max_ending_here = 1
for i=5, a[5] = 1
max_ending_here = max_ending_here + (1)
max_ending_here = 2
for i=6, a[6] = 5
max_ending_here = max_ending_here + (5)
max_ending_here = 7
max_so_far is updated to 7 because max_ending_here is
greater than max_so_far
for i=7, a[7] = -3
max_ending_here = max_ending_here + (-3)
max_ending_here = 4 */

//Program:

//KADANE'S algorithm is able to find the MaximumSum of a Contiguous Subarray in array with the runtime of O(n)...
// C++ program to print largest contiguous array sum
#include<iostream>
#include<climits>
using namespace std;

int maxSubArraySum(int a[], int size)
{
int max_so_far = INT_MIN, max_ending_here = 0;

for (int i = 0; i < size; i++)
{
max_ending_here = max_ending_here + a[i];
if (max_so_far < max_ending_here)
max_so_far = max_ending_here;

if (max_ending_here < 0)
max_ending_here = 0;
}
return max_so_far;
}

/*Driver program to test maxSubArraySum*/
int main()
{
int a[] = {-2, -3, 4, -1, -2, 1, 5, -3};
int n = sizeof(a)/sizeof(a[0]);
int max_sum = maxSubArraySum(a, n);
cout << "Maximum contiguous sum is " << max_sum;
return 0;
}

//Output:
//Maximum contiguous sum is 7

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