LeetCode:Trapping Rain Water

Trapping Rain Water




Total Accepted: 68935  Total Submissions: 211305  Difficulty: Hard

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!

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思路一:

观察水的分布可发现,水位的分布情况显现梯形的,即先上升后下降。

因此可以先求出最高点,然后左右两边往中间遍历求水的容量。


c++ code:

class Solution {
public:
    int trap(vector<int>& height) {
        
        int size = height.size();
        
        int maxIndex = 0;
        for(int i=0;i<size;i++) {
            if(height[i] > height[maxIndex]) maxIndex = i; 
        }
        
        int area = 0;
        int maxLeft = 0;
        for(int i=0;i<maxIndex;i++) {
            if(height[i] > maxLeft) maxLeft = height[i];
            else area += maxLeft - height[i];
        }
        
        int maxRight = 0;
        for(int i=size-1;i>=maxIndex;i--) {
            if(height[i] > maxRight) maxRight = height[i];
            else area += maxRight - height[i];
        }
        
        return area;
    }
};


思路二:

直接用两个指针分别往中间移动,每次维持次高的水位secHeight。


java code:

public class Solution {
    public int trap(int[] height) {
        
        int len = height.length;
        
        int left = 0, right = len - 1;
        int secHeight = 0;
        int area = 0;
        while(left <right) {
            if(height[left] < height[right]) {
                secHeight = Math.max(secHeight, height[left]);
                area += secHeight - height[left];
                left++;
            } else {
                secHeight = Math.max(secHeight, height[right]);
                area += secHeight - height[right];
                right--;
            }
        }
        return area;
    }
}


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