[LeetCode] 79. Word Search 单词搜索

Given a 2D board and a word, find if the word exists in the grid.

The word can be constructed from letters of sequentially adjacent cell, where "adjacent" cells are those horizontally or vertically neighboring. The same letter cell may not be used more than once.

For example,
Given board =

[
  ['A','B','C','E'],
  ['S','F','C','S'],
  ['A','D','E','E']
]

word = "ABCCED", -> returns true,
word = "SEE", -> returns true,
word = "ABCB", -> returns false.

给定一个2维的字母board,判断 是否有一个网格路径组成给定的单词。

解法:DFS, 典型的深度优先遍历,对每一点的每一条路径进行深度遍历,遍历过程中一旦出现:

1.数组越界。2.该点已访问过。3.该点的字符和word对应的index字符不匹配。

就要对该路径进行剪枝:

Java:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
public boolean exist(char[][] board, String word) {
    int m = board.length;
    int n = board[0].length;
  
    boolean result = false;
    for(int i=0; i<m; i++){
        for(int j=0; j<n; j++){
           if(dfs(board,word,i,j,0)){
               result = true;
           }
        }
    }
  
    return result;
}
  
public boolean dfs(char[][] board, String word, int i, int j, int k){
    int m = board.length;
    int n = board[0].length;
  
    if(i<0 || j<0 || i>=m || j>=n){
        return false;
    }
  
    if(board[i][j] == word.charAt(k)){
        char temp = board[i][j];
        board[i][j]='#';
        if(k==word.length()-1){
            return true;
        }else if(dfs(board, word, i-1, j, k+1)
        ||dfs(board, word, i+1, j, k+1)
        ||dfs(board, word, i, j-1, k+1)
        ||dfs(board, word, i, j+1, k+1)){
            return true;
        }
        board[i][j]=temp;
    }
  
    return false;
} 

Java:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
class Solution {
    int[] dh = {0, 1, 0, -1}; 
    int[] dw = {1, 0, -1, 0};
   
    public boolean exist(char[][] board, String word) { 
        boolean[][] isVisited = new boolean[board.length][board[0].length]; 
        for (int i = 0; i < board.length; i++) 
            for (int j = 0; j < board[0].length; j++) 
                if (isThisWay(board, word, i, j, 0, isVisited)) return true
        return false
    
   
    public boolean isThisWay(char[][] board, String word, int row, int column, int index, boolean[][] isVisited) { 
        if (row < 0 || row >= board.length || column < 0 || column >= board[0].length 
            || isVisited[row][column] || board[row][column] != word.charAt(index)) 
                return false//剪枝 
        if (++index == word.length()) return true//word所有字符均匹配上 
        isVisited[row][column] = true
        for (int i = 0; i < 4; i++) 
            if (isThisWay(board, word, row + dh[i], column + dw[i], index, isVisited)) 
                return true//以board[row][column]为起点找到匹配上word路径 
        isVisited[row][column] = false//遍历过后,将该点还原为未访问过 
        return false
    }
}  

Python:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
class Solution:
    # @param board, a list of lists of 1 length string
    # @param word, a string
    # @return a boolean
    def exist(self, board, word):
        visited = [[False for j in xrange(len(board[0]))] for i in xrange(len(board))]
         
        for i in xrange(len(board)):
            for j in xrange(len(board[0])):
                if self.existRecu(board, word, 0, i, j, visited):
                    return True
         
        return False
     
    def existRecu(self, board, word, cur, i, j, visited):
        if cur == len(word):
            return True
         
        if i < 0 or i >= len(board) or j < 0 or j >= len(board[0]) or visited[i][j] or board[i][j] != word[cur]:
            return False
         
        visited[i][j] = True
        result = self.existRecu(board, word, cur + 1, i + 1, j, visited) or\
                 self.existRecu(board, word, cur + 1, i - 1, j, visited) or\
                 self.existRecu(board, word, cur + 1, i, j + 1, visited) or\
                 self.existRecu(board, word, cur + 1, i, j - 1, visited)        
        visited[i][j] = False
         
        return result

C++:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
class Solution {
public:
    bool exist(vector<vector<char> > &board, string word) {
        if (word.empty()) return true;
        if (board.empty() || board[0].empty()) return false;
        vector<vector<bool> > visited(board.size(), vector<bool>(board[0].size(), false));
        for (int i = 0; i < board.size(); ++i) {
            for (int j = 0; j < board[i].size(); ++j) {
                if (search(board, word, 0, i, j, visited)) return true;
            }
        }
        return false;
    }
    bool search(vector<vector<char> > &board, string word, int idx, int i, int j, vector<vector<bool> > &visited) {
        if (idx == word.size()) return true;
        if (i < 0 || j < 0 || i >= board.size() || j >= board[0].size() || visited[i][j] || board[i][j] != word[idx]) return false;
        visited[i][j] = true;
        bool res = search(board, word, idx + 1, i - 1, j, visited)
                 || search(board, word, idx + 1, i + 1, j, visited)
                 || search(board, word, idx + 1, i, j - 1, visited)
                 || search(board, word, idx + 1, i, j + 1, visited);
        visited[i][j] = false;
        return res;
    }
}; 

 

类似题目:

[LeetCode] 212. Word Search II 词语搜索 II

[LeetCode] 348. Design Tic-Tac-Toe 设计井字棋游戏

 

 

All LeetCode Questions List 题目汇总

  

 

posted @   轻风舞动  阅读(1445)  评论(0编辑  收藏  举报
编辑推荐:
· .NET制作智能桌面机器人:结合BotSharp智能体框架开发语音交互
· 软件产品开发中常见的10个问题及处理方法
· .NET 原生驾驭 AI 新基建实战系列:向量数据库的应用与畅想
· 从问题排查到源码分析:ActiveMQ消费端频繁日志刷屏的秘密
· 一次Java后端服务间歇性响应慢的问题排查记录
阅读排行:
· 互联网不景气了那就玩玩嵌入式吧,用纯.NET开发并制作一个智能桌面机器人(四):结合BotSharp
· Vite CVE-2025-30208 安全漏洞
· 《HelloGitHub》第 108 期
· MQ 如何保证数据一致性?
· 一个基于 .NET 开源免费的异地组网和内网穿透工具
点击右上角即可分享
微信分享提示