原题链接在这里:https://leetcode.com/problems/knight-probability-in-chessboard/description/

题目:

On an NxN chessboard, a knight starts at the r-th row and c-th column and attempts to make exactly K moves. The rows and columns are 0 indexed, so the top-left square is (0, 0), and the bottom-right square is (N-1, N-1).

A chess knight has 8 possible moves it can make, as illustrated below. Each move is two squares in a cardinal direction, then one square in an orthogonal direction.

Each time the knight is to move, it chooses one of eight possible moves uniformly at random (even if the piece would go off the chessboard) and moves there.

The knight continues moving until it has made exactly K moves or has moved off the chessboard. Return the probability that the knight remains on the board after it has stopped moving.

Example:

Input: 3, 2, 0, 0
Output: 0.0625
Explanation: There are two moves (to (1,2), (2,1)) that will keep the knight on the board.
From each of those positions, there are also two moves that will keep the knight on the board.
The total probability the knight stays on the board is 0.0625.

Note:

  • N will be between 1 and 25.
  • K will be between 0 and 100.
  • The knight always initially starts on the board.

题解:
类似Out of Boundary Paths.

DP问题. 求最后在board上的概率. 反过来想,走完K步棋子在board上的哪个位置呢. 反过来走, 看board上所有位置走完K步后能到初始位置(r,c)的数目和.

储存历史信息是走到当前这步时棋盘上能走到每个位置的不同走法.

递推时, 向所有方向移动, 若是还在board上就把自己的走法加到新位置的走法上.

初始化所有位置只有1种走法.

答案K步之后到初始位置的走法除以Math.pow(8,K).

Time Complexity: O(K*N^2).

Space: O(N^2).

AC Java:

 class Solution {
public double knightProbability(int N, int K, int r, int c) {
int [][] moves = {{1,2},{1,-2},{2,1},{2,-1},{-1,2},{-1,-2},{-2,1},{-2,-1}};
double [][] dp0 = new double[N][N];
for(double [] row : dp0){
Arrays.fill(row, 1);
} for(int step = 0; step<K; step++){
double [][] dp1 = new double[N][N];
for(int i = 0; i<N; i++){
for(int j = 0; j<N; j++){
for(int [] move : moves){
int row = i + move[0];
int col = j + move[1];
if(isIllegal(row, col, N)){
dp1[row][col] += dp0[i][j];
}
}
}
}
dp0 = dp1;
}
return dp0[r][c]/Math.pow(8,K);
} private boolean isIllegal(int row, int col, int len){
return row>=0 && row<len && col>=0 && col<len;
}
}

LeetCode 688. Knight Probability in Chessboard的更多相关文章

  1. LeetCode——688. Knight Probability in Chessboard

    一.题目链接:https://leetcode.com/problems/knight-probability-in-chessboard/ 二.题目大意: 给定一个N*N的棋盘和一个初始坐标值(r, ...

  2. leetcode 576. Out of Boundary Paths 、688. Knight Probability in Chessboard

    576. Out of Boundary Paths 给你一个棋盘,并放一个东西在一个起始位置,上.下.左.右移动,移动n次,一共有多少种可能移出这个棋盘 https://www.cnblogs.co ...

  3. 【leetcode】688. Knight Probability in Chessboard

    题目如下: On an NxN chessboard, a knight starts at the r-th row and c-th column and attempts to make exa ...

  4. 【LeetCode】688. Knight Probability in Chessboard 解题报告(Python)

    作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 题目地址:https://leetcode.com/problems/knight-pr ...

  5. 688. Knight Probability in Chessboard棋子留在棋盘上的概率

    [抄题]: On an NxN chessboard, a knight starts at the r-th row and c-th column and attempts to make exa ...

  6. 688. Knight Probability in Chessboard

    On an NxN chessboard, a knight starts at the r-th row and c-th column and attempts to make exactly K ...

  7. [LeetCode] Knight Probability in Chessboard 棋盘上骑士的可能性

    On an NxN chessboard, a knight starts at the r-th row and c-th column and attempts to make exactly K ...

  8. [Swift]LeetCode688. “马”在棋盘上的概率 | Knight Probability in Chessboard

    On an NxN chessboard, a knight starts at the r-th row and c-th column and attempts to make exactly K ...

  9. Knight Probability in Chessboard

    2018-07-14 09:57:59 问题描述: 问题求解: 本题本质上是个挺模板的题目.本质是一个求最后每个落点的数目,用总的数目来除有所可能生成的可能性.这种计数的问题可以使用动态规划来进行解决 ...

随机推荐

  1. ES集群性能调优链接汇总

    1. 集群稳定性的一些问题(一定量数据后集群变得迟钝) https://elasticsearch.cn/question/84 2. ELK 性能(2) — 如何在大业务量下保持 Elasticse ...

  2. 07_Warning $HADOOP_HOME is deprecated.去除办法

    Warning $HADOOP_HOME is deprecated.去除办法 警告的出现: 解决方案: 第一种: 去除[/etc/profile]文件中[export HADOOP_HOME=/op ...

  3. 【HackerRank】Coin on the Table

    题目链接:Coin on the Table 一开始想用DFS做的,做了好久都超时. 看了题解才明白要用动态规划. 设置一个三维数组dp,其中dp[i][j][k]表示在时间k到达(i,j)所需要做的 ...

  4. 【Head First Servlets and JSP】笔记13:session & cookie

    session的接口 杀死会话 cookie的性质 cookie的接口 再总结——cookie.session.JSESSIONID的前世今生 简单的定制cookie示例 1.session的接口,配 ...

  5. windows简单使用etcd

    一.下载安装选择版本 https://github.com/coreos/etcd/releases 二.解压 三.首先开启etcd 1.进入在etcd解压的目录中 2.etcd.exe 没有erro ...

  6. char,uchar,0xff

    如果:char test = 0xFF: 此时:test != 0xFF://因为test为char类型,0xFF为int,所以编译器会将test转为int(-1),所以不等于 如果:uchar te ...

  7. Cgroups控制cpu,内存,io示例【转】

    本文转载自:https://www.cnblogs.com/yanghuahui/p/3751826.html 百度私有PaaS云就是使用轻量的cgoups做的应用之间的隔离,以下是关于百度架构师许立 ...

  8. 后向传播算法“backpropragation”详解

    为什么要使用backpropagation? 梯度下降不用多说,如果不清楚的可以参考梯度下降算法. 神经网络的参数集合theta,包括超级多组weight和bais. 要使用梯度下降,就需要计算每一个 ...

  9. juniper常用命令

    Juniper防火墙基本命令 get interface ethernet0/0  查看 端口 常用查看命令 Get int 查看接口配置信息 Get int ethx/x 查看指定接口配置信息  G ...

  10. jsp 内置对象---EL

    ServletRequest : java.lang.String      getParameter(java.lang.String name) 返回一个string           对应 n ...