g0001_0100.s0079_word_search.Solution Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of leetcode-in-java21 Show documentation
Show all versions of leetcode-in-java21 Show documentation
Java-based LeetCode algorithm problem solutions, regularly updated
package g0001_0100.s0079_word_search;
// #Medium #Top_100_Liked_Questions #Top_Interview_Questions #Array #Matrix #Backtracking
// #Algorithm_II_Day_11_Recursion_Backtracking #Big_O_Time_O(4^(m*n))_Space_O(m*n)
// #2023_08_11_Time_157_ms_(78.97%)_Space_40.5_MB_(84.41%)
/**
* 79 - Word Search\.
*
* Medium
*
* Given an `m x n` grid of characters `board` and a string `word`, return `true` _if_ `word` _exists in the grid_.
*
* 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.
*
* **Example 1:**
*
* ![](https://assets.leetcode.com/uploads/2020/11/04/word2.jpg)
*
* **Input:** board = \[\["A","B","C","E"],["S","F","C","S"],["A","D","E","E"]], word = "ABCCED"
*
* **Output:** true
*
* **Example 2:**
*
* ![](https://assets.leetcode.com/uploads/2020/11/04/word-1.jpg)
*
* **Input:** board = \[\["A","B","C","E"],["S","F","C","S"],["A","D","E","E"]], word = "SEE"
*
* **Output:** true
*
* **Example 3:**
*
* ![](https://assets.leetcode.com/uploads/2020/10/15/word3.jpg)
*
* **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 <= 6`
* * `1 <= word.length <= 15`
* * `board` and `word` consists of only lowercase and uppercase English letters.
*
* **Follow up:** Could you use search pruning to make your solution faster with a larger `board`?
**/
public class Solution {
private boolean backtrace(
char[][] board, boolean[][] visited, String word, int index, int x, int y) {
if (index == word.length()) {
return true;
}
if (x < 0 || x >= board.length || y < 0 || y >= board[0].length || visited[x][y]) {
return false;
}
visited[x][y] = true;
if (word.charAt(index) == board[x][y]) {
boolean res =
backtrace(board, visited, word, index + 1, x, y + 1)
|| backtrace(board, visited, word, index + 1, x, y - 1)
|| backtrace(board, visited, word, index + 1, x + 1, y)
|| backtrace(board, visited, word, index + 1, x - 1, y);
if (!res) {
visited[x][y] = false;
}
return res;
} else {
visited[x][y] = false;
return false;
}
}
public boolean exist(char[][] board, String word) {
boolean[][] visited = 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 (backtrace(board, visited, word, 0, i, j)) {
return true;
}
}
}
return false;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy