Unique Paths I,II
题目来自于:https://leetcode.com/problems/unique-paths/
:https://leetcode.com/problems/unique-paths-ii/
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.
这道题目就是典型的动态规划问题。之所以会写博客也是由于被网上的第二种算法吸引了。
典型的解法记住空间复杂度要在O(n)
- class Solution {
- public:
- int uniquePaths(int m, int n) {
- vector<int> paths(n,1);
- for(int i=1;i<m;i++)
- for(int j=1;j<n;j++)
- paths[j]+=paths[j-1];
- return paths[n-1];
- }
- };
另外一种是採用排列组合的方法来解答的
我们从左上角走到右下角一共要(m-1)+(n-1)步而当中我们能够选择(m-1)+(n-1)随意的(m-1)步向右,或者是(n-1)步向下。所以问题的答案就是Ian单的
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这样的解法的缺点是可能在m。n取较大的数值时候无法储存。所以此处我们採用long int,
- class Solution {
- public:
- int uniquePaths(int m, int n) {// (m-1 + n-1)! / ((m-1)! * (n-1)!)
- int large = max(m,n) -1;
- int small = min(m,n) -1;
- if (large == 0 || small == 0) return 1;
- long int numerator = 1, denominator = 1;
- for (int i=1; i<=small; ++i){
- numerator *= large + i;
- denominator *= i;
- }
- return numerator/denominator;
- }
- };
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.
这里仅仅是加了障碍物而已。在障碍物的位子是0,
还有初始化仅仅能初始化第一个位子即起点。假设起点不是障碍物则为1,否则是0;
- class Solution {
- public:
- int uniquePathsWithObstacles(vector<vector<int>>& obstacleGrid) {
- vector<int> paths(obstacleGrid[0].size(),0);
- paths[0]=!obstacleGrid[0][0];
- for(int i=0;i<obstacleGrid.size();++i)
- for(int j=0;j<obstacleGrid[0].size();++j)
- if(obstacleGrid[i][j]==1)
- paths[j]=0;
- else if(j-1>=0)
- paths[j]+=paths[j-1];
- return paths[obstacleGrid[0].size()-1];
- }
- };
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