• 688. Knight Probability in Chessboard


    package LeetCode_688
    
    
    /**
     * 688. Knight Probability in Chessboard
     * https://leetcode.com/problems/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 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.
     * */
    class Solution {
        /*
        * solution 1: recursion, TLE,
        * solution 2: DP(Top-Down), recursion+memorization, Time:O(k*n^2), Space:O(n^2)
        * */
    
        //8 directions
        val directions = arrayOf(
            //x,y
            intArrayOf(1, -2),
            intArrayOf(2, -1),
            intArrayOf(2, 1),
            intArrayOf(1, 2),
            intArrayOf(-1, 2),
            intArrayOf(-2, 1),
            intArrayOf(-2, -1),
            intArrayOf(-1, -2)
        )
    
        fun knightProbability(N: Int, K: Int, r: Int, c: Int): Double {
            val dp = Array(N, { Array(N) { DoubleArray(K + 1) } })
            val totalSolution = find(N, K, r, c, dp)
            //because every step has 8 directions, so k step is 8^k
            val result = totalSolution / Math.pow(8.0, K.toDouble())
            return result
        }
    
        private fun find(N: Int, K: Int, r: Int, c: Int, dp: Array<Array<DoubleArray>>): Double {
            if (r < 0 || c < 0 || r >= N || c >= N) {
                return 0.0
            }
            if (K == 0) {
                //find out one solution
                return 1.0
            }
            if (dp[r][c][K] != 0.0) {
                return dp[r][c][K]
            }
            var solution = 0.0
            for (i in directions.indices) {
                //sum up every solution
                solution += find(N, K - 1, r + directions[i][0], c + directions[i][1], dp)
            }
            dp[r][c][K] = solution
            return solution
        }
    }
  • 相关阅读:
    poj 1860 最短路—Bellman-Ford算法
    poj 3083 dfs+bfs最短路
    poj 2049 Finding Nemo(bfs+优先队列)
    Codeforces 685B 树形dp
    Codeforces 679B
    hdu 5695 拓扑排序裸题
    hdu 5690 矩阵快速幂/循环节
    《概率》第一卷( 修订和补充第三版)施利亚耶夫著 周概荣译本 勘误
    HDU 2124 Repair the Wall
    HDU 1198 Farm Irrigation
  • 原文地址:https://www.cnblogs.com/johnnyzhao/p/14002980.html
Copyright © 2020-2023  润新知