leetcode-62&63 Unique Paths I & II
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一,第62题,unique paths I
A robot is located at the top-left corner of a m x n grid (marked ‘Start’ in the diagram below).
The robot can only move either down or right at any point in time. The robot is trying to reach the bottom-right corner of the grid (marked ‘Finish’ in the diagram below).
How many possible unique paths are there?
Above is a 3 x 7 grid. How many possible unique paths are there?
Note: m and n will be at most 100.
题目简单,只是最基础的排列组合题型。
注意陷阱:当m、n很大的时候,结果会溢出!需要采用long int 保存结果。
时间为2ms;
/*思考:假设为m x n矩阵;由于只能向下或向右走,所以从start到finish只在纵向走(m-1)步,横向走(n-1)步,就行。也就是在(m+n-2)步中选(m-1)步纵向走即可。*/class Solution {public: int uniquePaths(int m, int n) { int re=0;//保存结果 if(m <= 0 || n <= 0)//去除无效输入 re=0; else if( m==1 || n==1)//特殊情况 re = 1; else { int max = (m-1) >= (n-1) ? (m-1) : (n-1); long int sum=1;//注意这里采用的是long int 型 int k=1; for(int i=(m+n-2); i > max; --i) { sum = sum * i ; if(!(sum % (i-max)))//如果可以除尽 sum /= (i-max); else { k *= (i-max); } } sum /= k; re = sum; } return re; }};
二,第63题,unique paths II
Follow up for “Unique Paths”:
Now consider if some obstacles are added to the grids. How many unique paths would there be?
An obstacle and empty space is marked as 1 and 0 respectively in the grid.
For example,
There is one obstacle in the middle of a 3x3 grid as illustrated below.
[
[0,0,0],
[0,1,0],
[0,0,0]
]
The total number of unique paths is 2.
Note: m and n will be at most 100.
我自己想到的是采用回溯的办法,但是,实现很困难,特别是区别不重复的路径,很麻烦。如果采用上一题的思路,如果障碍少还可以,障碍多了,就非常麻烦,晕乎乎的。
纠结郁闷之余,去discuss看了看别人的方法,大惊失色。
这道题采用了一个很巧妙的方法。
就是采用递归的办法。由于只能沿着东方和南方两个方向递进,所以采用递归。
以下是参考别人的代码,引用其中的经典代码。
https://leetcode.com/discuss/13965/my-c-dp-solution-very-simple
其中方法一的代码最简洁。
方法二,三和方法一思路一致,只是细节处理不同。
方法二,采用倒推,额外空间缩小为只有一行即可;
方法三,与方法一几乎一样,只是方法一更加简洁。
总之都是好方法!
哎,路漫漫其修远兮……
class Solution {public: int uniquePathsWithObstacles(vector<vector<int>>& obstacleGrid) { //方法一 int m = obstacleGrid.size() , n = obstacleGrid[0].size(); vector<vector<int>> dp(m+1,vector<int>(n+1,0)); dp[0][1] = 1; for(int i = 1 ; i <= m ; ++i) for(int j = 1 ; j <= n ; ++j) if(!obstacleGrid[i-1][j-1]) dp[i][j] = dp[i-1][j]+dp[i][j-1]; return dp[m][n]; /* //方法二 int m = obstacleGrid.size(); int n = obstacleGrid[0].size(); if(obstacleGrid[m-1][n-1] == 1 || obstacleGrid[0][0] == 1) return 0; int res[n]; res[n-1] = 1; for(int i = n-2; i >= 0; --i){ if(obstacleGrid[m-1][i] == 1) res[i] = 0; else res[i] = res[i+1]; } for(int i = m-2; i >= 0; --i){ for(int j = n-1; j >=0; --j){ if(j == n-1){ if(obstacleGrid[i][j] == 1) res[j] = 0; }else{ if(obstacleGrid[i][j] == 1) res[j] = 0; else res[j] += res[j+1]; } } } return res[0]; */ /* //方法三 int row=obstacleGrid.size(); int col=obstacleGrid[0].size(); vector<vector<int>> k(row,vector<int>(col,0)); if(obstacleGrid[0][0]==1||obstacleGrid[row-1][col-1]==1) return 0; else k[0][0]=1; for(int i=1;i<row;++i) if(!obstacleGrid[i][0]) k[i][0]=k[i-1][0]; for(int j=1;j<col;++j) if(!obstacleGrid[0][j]) k[0][j]=k[0][j-1]; for(int i=1;i<row;++i) for(int j=1;j<col;++j) { if(!obstacleGrid[i][j]) k[i][j]=k[i-1][j]+k[i][j-1]; } return k[row-1][col-1]; */ }};
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