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53.maximum-subarray.kt
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53.maximum-subarray.kt
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/*
* @lc app=leetcode id=53 lang=kotlin
*
* [53] Maximum Subarray
*
* https://leetcode.com/problems/maximum-subarray/description/
*
* algorithms
* Easy (44.19%)
* Likes: 4757
* Dislikes: 176
* Total Accepted: 588.8K
* Total Submissions: 1.3M
* Testcase Example: '[-2,1,-3,4,-1,2,1,-5,4]'
*
* Given an integer array nums, find the contiguous subarray (containing at
* least one number) which has the largest sum and return its sum.
*
* Example:
*
*
* Input: [-2,1,-3,4,-1,2,1,-5,4],
* Output: 6
* Explanation: [4,-1,2,1] has the largest sum = 6.
*
*
* Follow up:
*
* If you have figured out the O(n) solution, try coding another solution using
* the divide and conquer approach, which is more subtle.
*
*/
class Solution {
fun maxSubArray(nums: IntArray): Int {
var sum = 0
var maxa = -2147483647
nums.forEach { a ->
if (sum < 0) {
sum = a
} else {
sum += a
}
maxa = Math.max(sum, maxa)
}
return maxa
}
}