[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:
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:
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:
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++:
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
[LeetCode] 79. Word Search 单词搜索的更多相关文章
- LeetCode 79. Word Search单词搜索 (C++)
题目: Given a 2D board and a word, find if the word exists in the grid. The word can be constructed fr ...
- [LeetCode] 79. Word Search 词语搜索
Given a 2D board and a word, find if the word exists in the grid. The word can be constructed from l ...
- leetcode 79. Word Search 、212. Word Search II
https://www.cnblogs.com/grandyang/p/4332313.html 在一个矩阵中能不能找到string的一条路径 这个题使用的是dfs.但这个题与number of is ...
- 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 l ...
- LeetCode 79 Word Search(单词查找)
题目链接:https://leetcode.com/problems/word-search/#/description 给出一个二维字符表,并给出一个String类型的单词,查找该单词是否出现在该二 ...
- [LeetCode OJ] Word Search 深度优先搜索DFS
Given a 2D board and a word, find if the word exists in the grid. The word can be constructed from l ...
- 079 Word Search 单词搜索
给定一个二维面板和一个单词,找出该单词是否存在于网格中.这个词可由顺序相邻的单元格内的字母构成,其中“相邻”单元格是那些水平相邻或垂直相邻的单元格.同一个单元格内的字母不允许被重复使用.例如,给定 二 ...
- Leetcode79. Word Search单词搜索
给定一个二维网格和一个单词,找出该单词是否存在于网格中. 单词必须按照字母顺序,通过相邻的单元格内的字母构成,其中"相邻"单元格是那些水平相邻或垂直相邻的单元格.同一个单元格内的字 ...
- Leetcode#79 Word Search
原题地址 依次枚举起始点,DFS+回溯 代码: bool dfs(vector<vector<char> > &board, int r, int c, string ...
随机推荐
- Andrew Ng机器学习 一: Linear Regression
一:单变量线性回归(Linear regression with one variable) 背景:在某城市开办饭馆,我们有这样的数据集ex1data1.txt,第一列代表某个城市的人口,第二列代表在 ...
- 正则爬取京东商品信息并打包成.exe可执行程序。
本文爬取内容,输入要搜索的关键字可自动爬取京东网站上相关商品的店铺名称,商品名称,价格,爬取100页(共100页) 代码如下: import requests import re # 请求头 head ...
- libpng 漏洞分析
相关资源 PNG文件格式文档 http://www.libpng.org/pub/png/spec/1.2/PNG-Chunks.html https://www.myway5.com/index.p ...
- python的any()函数
any()函数的参数是一个可迭代对象,其中的一个元素有一个为真,则any()函数返回真,除非全部为假的时候才返回假. aaa=[,,,] print(any(aaa)) 返回:false
- 如何把上传图片时候的文件对象转换为图片的url !
getObjectURL(file) { var url = null; if (window.createObjectURL != undefined) { url = window.createO ...
- learning at command AT+CFUN
[Purpose] Learning how to controls the functionality level. It can also be used to reset the UE (飞行模 ...
- mov offset和lea的区别
mov offset和lea的区别 原文地址:https://www.cnblogs.com/fanzi2009/archive/2011/11/29/2267725.html 全局变量取地址用mo ...
- .NET添加新项目-配置不同环境参数
添加新项目-配置不同环境参数 添加新项目后,需要对配置管理器进行设置.默认新加的项目只有debug和release 现加其他环境(dev.uat...)的配置[通过项目文件.csproj来加,拷贝其他 ...
- graphql-query-rewriter 无缝处理graphql 变更
graphql-query-rewriter 是一个graphql schema 变动重写的中间件,可以帮助我们解决在版本变动,查询实体变动 是的问题,从目前已知的技术中我们可选的方案有以下处理变动的 ...
- zabbix-trap
安装 yum -y install zabbix-sender zabbix sender 在客户端给server端发送信息, -z 指定server的ip -p 指定端口 10051 -s 被监控设 ...