leetcode--Container With Most Water

1.题目描述

Given n non-negative integers a1, a2, ..., an, where each represents a point at coordinate (i, ai). n vertical lines are drawn such that the two endpoints of line i is at (i, ai) and (i, 0). Find two lines, which together with x-axis forms a container, such that the container contains the most water.

Note: You may not slant the container.

2.解法分析

略加思索,这个题目就有了一个递归的解法,但递归的解法在写的过程中自己就有了疑问,那就是是否会TLE,结果大数据集果然TLE了,

class Solution {
public:
int maxArea(vector<int> &height) {
// Start typing your C/C++ solution below
// DO NOT write int main() function

return __maxArea(height,0,height.size()-1);

}

int __maxArea(vector<int>&height,int begin,int end)
{
if(begin>=end)return 0;

return max(max(__maxArea(height,begin+1,end),__maxArea(height,begin,end-1)),min(height[begin],height[end])*(end-begin));

}
};

然后就考虑是不是有地方被重复计算了,一看果不其然,那么就用动态规划改写吧。

class Solution {
public:
int maxArea(vector<int> &height) {
// Start typing your C/C++ solution below
// DO NOT write int main() function
vector<int>dp(height.size(),0);

for(int i=1;i<=height.size()-1;++i)
{
for(int j=0;j<=(height.size()-i-1);++j)
{
//在第i轮,dp[j]表示以j作为起始范围,长度为i的范围内能够得到的最大水量
dp[j]=max(max(dp[j],dp[j+1]),(min(height[j],height[j+i])*i));
}
}

return dp[0];

}
};

结果时间是缩短了,但是还是在大数据集上TLE了,这说明我最初的算法可能有问题。最终看discuss里面的算法,豁然开朗,自己最初的想法差点到了这个点,却一闪而过,看来算法功底还有待加强。算法代码如下:

class Solution {
public:
int maxArea(vector<int> &height) {
// Start typing your C/C++ solution below
// DO NOT write int main() function
int i=0;
int j=height.size()-1;
int globalMax=0;
while(i<j)
{
//curMax:以(i,j)为围栏的容量
int curMax=min(height[i],height[j])*(j-i);
if(curMax>globalMax)globalMax=curMax;

if(height[i]>height[j])j--;//此时height[j]是瓶颈
else i++;
}

return globalMax;

}
};

总结:递归太自然,让人太舒服,但是不一定是最好的解法。

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