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Program to find sum of contiguous sublist with maximum sum in Python
Suppose we have an array A. We have to find the contiguous sublist which has the maximum sum, and also return its sum. So if the array A is like A = [-2,1,-3,4,-1,2,1,-5,4], then the sum will be 6. And the subarray will be [4, -1, 2, 1].
To solve this we will try to use Dynamic programming approach.
define an array dp same as the size of A, and fill it with 0
dp[0] := A[0]
for i := 1 to size of A – 1
dp[i] := maximum of dp[i – 1] + A[i] and A[i]
return max in dp
Let us see the following implementation to get better understanding −
Example
class Solution(object): def solve(self, nums): dp = [0 for i in range(len(nums))] dp[0] = nums[0] for i in range(1,len(nums)): dp[i] = max(dp[i-1]+nums[i],nums[i]) return max(dp) nums = [-2,1,-3,7,-2,2,1,-5,4] ob1 = Solution() print(ob1.solve(nums))
Input
[-2,1,-3,7,-2,2,1,-5,4]
Output
8
Updated on 09-Oct-2020 15:15:29
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