[LeetCode] Trapping Rain Water
Trapping Rain Water
Given n non-negative integers representing an elevation map where the width of each bar is 1, compute how much water it is able to trap after raining.
For example,
Given [0,1,0,2,1,0,1,3,2,1,2,1]
, return 6
.
The above elevation map is represented by array [0,1,0,2,1,0,1,3,2,1,2,1]. In this case, 6 units of rain water (blue section) are being trapped. Thanks Marcos for contributing this image!
解题思路:
1、我的办法:两边夹的思想,若左边小于右边,则移动左边的指针,否则移动右边的指针。同时,若移动的指针小于上一个最小高度,则容量减去该移动指针此时所指的高度。若移动的指针和未移动的指针都大于此前最小高度,则加上超出的部分。说的不明白,代码比较好理解:
class Solution { public: int trap(vector<int>& height) { int len = height.size(); if (len<3){ return 0; } int start = 0, end = len - 1; int result = 0, minH = 0; minH = min(height[start], height[end]); result = minH * (end - start - 1); while (start<end - 1){ if (height[start]<height[end]){ start++; result = result - min(minH, height[start]); } else{ end--; result = result - min(minH, height[end]); } if (height[start]>minH && height[end]>minH){ result += min(height[start] - minH, height[end] - minH) * (end - start - 1); //加上超出的部分 minH = min(height[start], height[end]); } } return result; } };2、网上另外一个比较好的办法是左右两边扫的办法。记录每个数左边和右边最大的数。左边最大与右边最大构成一个容器,减去本身的空间,这相当于这个位置上的台阶贡献了容量。
class Solution { public: int trap(vector<int>& height) { int len = height.size(); if (len<3){ return 0; } int maxL[len], maxR[len]; int maxH = height[0]; maxL[0] = 0; for(int i=1; i<len; i++){ maxL[i] = maxH; maxH = max(maxH, height[i]); } maxH = height[len-1]; maxR[len-1]=0; int result=0; for(int i=len-2; i>=0; i--){ maxR[i]=maxH; maxH = max(maxH, height[i]); result +=max(0, min(maxL[i], maxR[i]) - height[i]); } return result; } };
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