zoukankan      html  css  js  c++  java
  • 576. Out of Boundary Paths

    Problem statement:

    There is an m by n grid with a ball. Given the start coordinate (i,j) of the ball, you can move the ball to adjacent cell or cross the grid boundary in four directions (up, down, left, right). However, you can at most move N times. Find out the number of paths to move the ball out of grid boundary. The answer may be very large, return it after mod 109 + 7.

    Example 1:

    Input:m = 2, n = 2, N = 2, i = 0, j = 0
    Output: 6
    Explanation:
    

    Example 2:

    Input:m = 1, n = 3, N = 3, i = 0, j = 1
    Output: 12
    Explanation:
    

    Note:

    1. Once you move the ball out of boundary, you cannot move it back.
    2. The length and height of the grid is in range [1,50].
    3. N is in range [0,50].

    Analysis:

    This question is the last one of leetcode weekly contest 31. Initially, it is tagged with medium, and then adjusted to hard today.

    They mentioned a position in a two dimension board and at most N step to move and count the numbers to get out of boundary. Obviously, DP.

    My first solution:

    Start from (i, j), initialize all the element in the row i and col and j compared their value with N. 

    Do four direction dynamic programming, however, it ignored one fact that the value of one cell can come from all four directions except boundary.

    The answer is wrong. 

    Solution:

    This solution is quite simple, we have m * n board and N step to move, it is a 3 dimension DP. 

    The initialization status: dp[0][0 ... m -1][0 ... n - 1] is 0. means the step is 0, all value is 0.

    Current value only comes from four directions of last move or 1 if it is boundary.

    DP formula is:

    dp[step][row][col] = dp[step - 1][row - 1][col] + dp[step - 1][row + 1][col] + dp[step - 1][row][col - 1] + dp[step - 1][row][col + 1]

    we calculate the value of this three dimension matrix and return the value of dp[N][i][j]. 

    The time complexity is O(N * m * n), space complexity is O((N + 1) * m * n)

    class Solution {
    public:
        int findPaths(int m, int n, int N, int i, int j) {          
            unsigned int dp[N + 1][m][n] = {};
            for(int step = 1; step <= N; step++){
                for(int row = 0; row < m; row++){
                    for(int col = 0; col < n; col++){
                        // the value come from four directoion
                        // if one value comes from boundary: 1
                        //      dp[step - 1][row - 1][col] 
                        //      + dp[step - 1][row + 1][col] 
                        //      + dp[step - 1][row][col - 1] 
                        //      + dp[step - 1][row][col + 1]
                        dp[step][row][col] =  ((row == 0?       1 : dp[step - 1][row - 1][col]) 
                                            + (row == m - 1?    1 : dp[step - 1][row + 1][col])
                                            + (col == 0?        1 : dp[step - 1][row][col - 1])
                                            + (col == n - 1?    1 : dp[step - 1][row][col + 1])) % 1000000007;
                    }
                }
            }
            return dp[N][i][j];
        }
    };
  • 相关阅读:
    Microsoft 补丁,文档下载
    web_dynpro_Tree1:
    右键的CONTEXT_MENU
    web_dynpro_ALV:(包ZLYTEST2)(alv 的事件只需注意一个R_PARAM就哦了)
    web_dynpro_SELECT_OPTION组件的使用:
    首日签到
    斐波那契数列
    C#正则表达式验证工具
    P210阶段3(个人所得税计算器)
    javascript基本语法
  • 原文地址:https://www.cnblogs.com/wdw828/p/6823307.html
Copyright © 2011-2022 走看看