https://leetcode.com/problems/word-search-ii/
基于前缀树实现,如果把 Trie 也看做一个特殊的图的话,就是 将两个图同时进行 dfs,就像判断两个树是否相同那样。
可以参考:leetcode 208. Implement Trie (Prefix Tree) | 208. 实现 Trie 前缀树(Java) 中的数据结构,然后改造一下即可。
class Node {
Node[] map;
boolean isEnd;
public Node() {
this.map = new Node['z' - 'a' + 1];
}
public Node get(char c) {
return map[c - 'a'];
}
public Node put(char c) {
Node node = new Node();
map[c - 'a'] = node;
return node;
}
}
class Trie {
Node node;
public Trie() {
node = new Node();
}
public void insert(String word) {
char[] chars = word.toCharArray();
Node cur = node;
for (int i = 0; i < chars.length; i++) {
if (cur.get(chars[i]) != null) {
cur = cur.get(chars[i]);
} else {
cur = cur.put(chars[i]);
}
if (i == chars.length - 1) {
cur.isEnd = true;
}
}
}
}
class Solution {
int M, N;
List result;
public List findWords(char[][] board, String[] words) {
M = board.length;
N = board[0].length;
result = new ArrayList<>();
Trie trie = new Trie();
for (String s : words) {
trie.insert(s);
}
boolean[][] visited = new boolean[M][N];
for (int k = 0; k < trie.node.map.length; k++) {
if (trie.node.map[k] == null) continue;
// word can start from any location on board
for (int i = 0; i < M; i++) {
for (int j = 0; j < N; j++) {
dfs(board, i, j, visited, trie.node.map[k], (char) (k + 'a'), String.valueOf((char) (k + 'a')));
}
}
}
return result;
}
public void dfs(char[][] board, int i, int j, boolean[][] visited, Node node, char val, String path) {
if (i < 0 || i == M || j < 0 || j == N || visited[i][j] || board[i][j] != val) return;
if (node.isEnd) {
result.add(path);
node.isEnd = false; // 避免相同前缀的字符串被多次添加到result中
}
visited[i][j] = true;
for (int k = 0; k < node.map.length; k++) {
Node next = node.map[k];
if (next != null) {
dfs(board, i + 1, j, visited, next, (char) (k + 'a'), path + ((char) (k + 'a')));
dfs(board, i - 1, j, visited, next, (char) (k + 'a'), path + ((char) (k + 'a')));
dfs(board, i, j + 1, visited, next, (char) (k + 'a'), path + ((char) (k + 'a')));
dfs(board, i, j - 1, visited, next, (char) (k + 'a'), path + ((char) (k + 'a')));
}
}
visited[i][j] = false;
}
}



