zoukankan      html  css  js  c++  java
  • [LeetCode] 79. Word Search(单词查找)

    Description

    Given an m x n board and a word, find if the word exists in the grid.
    给定一个 m x nboard 和一个单词 word,判断能不能在 board 里找到该单词。

    The word can be constructed from letters of sequentially adjacent cells, where "adjacent" cells are horizontally or vertically neighboring. The same letter cell may not be used more than once.
    单词可以由板子内若干相邻的单元格组成,这里的相邻指水平或垂直方向的相邻。同一个单元格最多只能使用一次。

    Examples

    Example 1

    Input: board = [["A","B","C","E"],["S","F","C","S"],["A","D","E","E"]], word = "ABCCED"
    Output: true
    

    Example 2

    Input: board = [["A","B","C","E"],["S","F","C","S"],["A","D","E","E"]], word = "SEE"
    Output: true
    

    Example 3

    Input: board = [["A","B","C","E"],["S","F","C","S"],["A","D","E","E"]], word = "ABCB"
    Output: false
    

    Constraints

    • m == board.length
    • n = board[i].length
    • 1 <= m, n <= 200
    • 1 <= word.length <= 103
    • board and word consists only of lowercase and uppercase English letters.

    Solution

    暴力搜索就完事了。不过在搜索的时候需要注意,对于不符合条件的情况,要尽快停止搜索。至于如何标记已经访问过的单元,这里采用了一个 visited 数组,代码如下:

    class Solution {
        fun exist(board: Array<CharArray>, word: String): Boolean {
            val visited = Array(board.size) { BooleanArray(board[0].size) }
            for (i in board.indices) {
                for (j in board[i].indices) {
                    if (backtrack(board, i, j, word, 0, visited)) {
                        return true
                    }
                }
            }
            return false
        }
    
        private fun backtrack(board: Array<CharArray>, i: Int, j: Int, word: String, index: Int, visited: Array<BooleanArray>): Boolean {
            if (index == word.length) {
                return true
            }
            if (i !in board.indices || j !in board[i].indices) {
                return false
            }
            if (visited[i][j] || board[i][j] != word[index]) {
                return false
            }
            visited[i][j] = true
            val result = backtrack(board, i + 1, j, word, index + 1, visited) ||
                    backtrack(board, i - 1, j, word, index + 1, visited) ||
                    backtrack(board, i, j + 1, word, index + 1, visited) ||
                    backtrack(board, i, j - 1, word, index + 1, visited);
            visited[i][j] = false
            return result
        }
    }
    
  • 相关阅读:
    linux下简单线程池实现
    mongodb日志文件切换
    SQL Server中如何统计数据库中所有用户表所占空间大小?
    Windows 2008 R2 + IIS7.5客户端证书认证问题?
    mongodb Replica Sets +Sharding高可用集群搭建(含认证)
    读书笔记linux vfs
    SQL Server 常用性能分析语句
    CentOS6.2下fastDFS的完整安装和配置步骤
    改进jquery.tablesorter.js 支持中文表格排序
    Sage CRM升级注意事项三
  • 原文地址:https://www.cnblogs.com/zhongju/p/14093133.html
Copyright © 2011-2022 走看看