LeetCode 62. Unique Paths

原题链接在这里：https://leetcode.com/problems/unique-paths/

题目：

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.

题解：

DP问题.需保存历史数据为走到当前格子的不同路径数，用二维数组dp保存。 

更新当前点dp[i][j]为上一行同列dp[i-1][j]的值 + 本行上一列dp[i][j-1]的值，因为走到上一行同列的值想走到当前格都是往下走一步，左边同理。

初始化是第一行和第一列都是1.

答案是dp[m-1][n-1].

Time Complexity: O(m*n). Space: O(m*n).

AC Java:

public class Solution {
    public int uniquePaths(int m, int n) {
        if(m == 0 || n == 0){
            return 0;
        }
        int [][] dp = new int[m][n];
        for(int i = 0; i<m; i++){
            dp[i][0] = 1;
        }
        for(int j = 0; j<n; j++){
            dp[0][j] = 1;
        }
        for(int i = 1; i<m; i++){
            for(int j = 1; j<n; j++){
                dp[i][j] = dp[i-1][j] + dp[i][j-1];
            }
        }
        return dp[m-1][n-1];
    }
}

存储历史信息可以用一维数组完成从而节省空间。生成一个长度为n的数组dp, 每次更新dp[j] += dp[j-1], dp[j-1]就是同行前一列的历史结果，dp[j]为更新前是同列上一行的结果，所以dp[j] += dp[j-1]就是更新后的结果。

Note:外层loop i 从0开始，dp[0] = 1, 相当于初始了第一列，所以i=0开始要初始第一行

Time Complexity: O(m*n). Space: O(n).

 

class Solution {
    public int uniquePaths(int m, int n) {
        if(m == 0 || n == 0){
            return 0;
        }
        
        int [] dp = new int[n];
        for(int j = 0; j<n; j++){
            dp[j] = 1;
        }
        
        for(int i = 1; i<m; i++){
            for(int j = 1; j<n; j++){
                dp[j] = dp[j] + dp[j-1];
            }
        }
        
        return dp[n-1];
    }
}

有进阶版题目Unique Paths II, Minimum Path Sum, Unique Paths III.