//Given an integer array nums, find the contiguous subarray (containing at
//least one number) which has the largest sum and return its sum. 
//
// A subarray is a contiguous part of an array. 
//
// 
// Example 1: 
//
// 
//Input: nums = [-2,1,-3,4,-1,2,1,-5,4]
//Output: 6
//Explanation: [4,-1,2,1] has the largest sum = 6.
// 
//
// Example 2: 
//
// 
//Input: nums = [1]
//Output: 1
// 
//
// Example 3: 
//
// 
//Input: nums = [5,4,-1,7,8]
//Output: 23
// 
//
// 
// Constraints: 
//
// 
// 1 <= nums.length <= 10⁵ 
// -10⁴ <= nums[i] <= 10⁴ 
// 
//
// 
// 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. 
// Related Topics Array Divide and Conquer Dynamic Programming 👍 15318 👎 717


package leetcodeProblem.leetcode.editor.en

class MaximumSubarray {
    fun solution() {
    }

    //below code will be used for submission to leetcode (using plugin of course)
    //leetcode submit region begin(Prohibit modification and deletion)
    class Solution {
        fun maxSubArray(nums: IntArray): Int {
            var maxNow = Int.MIN_VALUE
            var current = 0
            nums.forEach {
                current = maxOf(current + it, it)
                maxNow = maxOf(current, maxNow)
            }
            return maxNow
        }
    }
//leetcode submit region end(Prohibit modification and deletion)

}

fun main() {}
  


//Given an integer array nums, find the contiguous subarray (containing at
//least one number) which has the largest sum and return its sum. 
//
// A subarray is a contiguous part of an array. 
//
// 
// Example 1: 
//
// 
//Input: nums = [-2,1,-3,4,-1,2,1,-5,4]
//Output: 6
//Explanation: [4,-1,2,1] has the largest sum = 6.
// 
//
// Example 2: 
//
// 
//Input: nums = [1]
//Output: 1
// 
//
// Example 3: 
//
// 
//Input: nums = [5,4,-1,7,8]
//Output: 23
// 
//
// 
// Constraints: 
//
// 
// 1 <= nums.length <= 10⁵ 
// -10⁴ <= nums[i] <= 10⁴ 
// 
//
// 
// 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. 
// Related Topics Array Divide and Conquer Dynamic Programming 👍 15318 👎 717


package leetcodeProblem.leetcode.editor.en

class MaximumSubarray {
    fun solution() {
    }

    //below code will be used for submission to leetcode (using plugin of course)
    //leetcode submit region begin(Prohibit modification and deletion)
    class Solution {
        fun maxSubArray(nums: IntArray): Int {
            var maxNow = Int.MIN_VALUE
            var current = 0
            nums.forEach {
                current = maxOf(current + it, it)
                maxNow = maxOf(current, maxNow)
            }
            return maxNow
        }
    }
//leetcode submit region end(Prohibit modification and deletion)

}

fun main() {}
  

