[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 ...
- ViCANdo新版本发布(PART1) | 点云库(PCL)集成
激光雷达 随着智能驾驶技术的发展,激光雷达迅速的进入工程师的视野,不管是机械式.MEMS还是纯固态激光雷达,本质上都是以一定的速度扫描照射区域,在此过程中激光雷达不断的发出激光并接收反 ...
- 手写二叉树-先序构造(泛型)-层序遍历(Java版)
如题 先序构造 数据类型使用了泛型,在后续的更改中,更换数据类型只需要少许的变更代码 层序遍历 利用Node类的level属性 所有属性的权限全为public ,为了方便先这么写吧,建议还是用priv ...
- C# 获取操作系统空闲时间
获取系统鼠标和键盘没有任何操作的空闲时间 public class CheckComputerFreeState { /// <summary> /// 创建结构体用于返回捕获时间 /// ...
- 【学习笔记】Kruskal 重构树
1. 例题引入:BZOJ3551 用一道例题引入:BZOJ3551 题目大意:有 \(N\) 座山峰,每座山峰有他的高度 \(h_i\).有些山峰之间有双向道路相连,共 \(M\) 条路径,每条路径有 ...
- tornado处理跨域问题
报错信息一: Access to XMLHttpRequest at 'http://localhost:4445/api/v/getmsg' from origin 'http://localhos ...
- omnibus-gitlab 架构学习
omnibus-gitlab是gitlab 团队fork 自chef 的omnibus 项目,同时做了一些自定义的开发,omnibus-gitlab 简化了 gitlab 的部署以及维护,同时里边集成 ...
- packr 方便的潜入静态资源文件到golang 二进制文件中
类似的工具以前有介绍过statik,今天使用的工具是packr 也是很方便的golang tools 安装 go get -u github.com/gobuffalo/packr/packr 或者我 ...
- [RN] React Native 下实现底部标签(支持滑动切换)
上一篇文章 [RN] React Native 下实现底部标签(不支持滑动切换) 总结了不支持滑动切换的方法,此篇文章总结出 支持滑动 的方法 准备工作之类的,跟上文类似,大家可点击上文查看相关内容. ...
- 第12组 Beta冲刺(1/5)
Header 队名:To Be Done 组长博客 作业博客 团队项目进行情况 燃尽图(组内共享) 展示Git当日代码/文档签入记录(组内共享) 注: 由于GitHub的免费范围内对多人开发存在较多限 ...