标签:维数 最大 Plan 比较 maximum out 复杂 lan array
1 """ 2 Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum. 3 Example: 4 Input: [-2,1,-3,4,-1,2,1,-5,4], 5 Output: 6 6 Explanation: [4,-1,2,1] has the largest sum = 6. 7 """ 8 """ 9 最开始的想法复杂了:建一个n*n的二维数组,存储[i,j]的和 10 因为最后的output只要和的值,不需要求是哪些序列,所以此想法 11 实现起来麻烦,效率还低 12 """ 13 """ 14 正确的算法应为:贪心算法 15 subMaxSum = max(nums[i]+nums[i-1], nums[i]) 16 nums[i] = subMaxSum 17 保证num[i]存的是i之前最大的和 18 """ 19 20 class Solution: 21 def maxSubArray(self, nums): 22 length = len(nums) 23 for i in range(1, length): 24 #当前值的大小与前面的值之和比较,若当前值更大,则取当前值,舍弃前面的值之和 25 subMaxSum = max(nums[i]+nums[i-1], nums[i]) 26 nums[i] = subMaxSum#将当前和最大的赋给nums[i],新的nums存储的为和值 27 return max(nums)
标签:维数 最大 Plan 比较 maximum out 复杂 lan array
原文地址:https://www.cnblogs.com/yawenw/p/12297336.html