212. Word Search II
HardView on LeetCode
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Intuition
Build a Trie from the word list. DFS the board; at each cell, follow the Trie to prune invalid paths immediately. When a Trie node marks the end of a word, record it. Pruning by removing found words from the Trie avoids duplicates.
Algorithm
- 1Insert all words into a Trie.
- 2DFS from every cell (r,c) traversing the Trie simultaneously.
- 3If the current Trie node has no child for board[r][c], return (prune).
- 4If the node is a word end, add the word to results and clear the word to avoid duplicates.
- 5Mark cell as visited ("x"), recurse into 4 neighbors, restore cell.
Example Walkthrough
Input: board with "eat","oath","oat","pea"; words=["oath","eat"]
- 1.DFS from "o" -> "o"->"a"->"t"->"h". Trie path matches "oath" -> add.
- 2.DFS from "e" -> "e"->"a"->"t". Trie path matches "eat" -> add.
Output: ["oath","eat"]
Common Pitfalls
- •Clear node.word after recording to prevent duplicate results.
- •After DFS, prune leaf Trie nodes to speed up subsequent searches.
212.cs
C#
// Approach: Build a trie from all target words, then run DFS over every board cell.
// During DFS, traverse the trie simultaneously: if no trie child exists for the current char, prune.
// Mark cells as visited during DFS (set to '#'), then restore them after backtracking.
// When a trie node has a non-null word field, record it as found and clear the field to avoid duplicates.
// Remove trie nodes that have no children after a word is found (trie pruning) to speed up future searches.
// Time: O(m x n x 4^L) where L = max word length. Space: O(W x L) for the trie.
public class TrieNode
{
public TrieNode[] children = new TrieNode[26];
public string word;
}
public class Solution
{
private TrieNode root = new TrieNode();
public IList<string> FindWords(char[][] board, string[] words)
{
foreach (var word in words)
Insert(word);
List<string> ans = new List<string>();
for (int i = 0; i < board.Length; ++i)
{
for (int j = 0; j < board[0].Length; ++j)
Dfs(board, i, j, root, ans);
}
return ans;
}
private void Insert(string word)
{
TrieNode node = root;
foreach (char c in word)
{
int i = c - 'a';
if (node.children[i] == null)
node.children[i] = new TrieNode();
node = node.children[i];
}
node.word = word;
}
private void Dfs(char[][] board, int i, int j, TrieNode node, List<string> ans)
{
if (i < 0 || i == board.Length || j < 0 || j == board[0].Length)
return;
if (board[i][j] == '*')
return;
char c = board[i][j];
TrieNode child = node.children[c - 'a'];
if (child == null)
return;
if (child.word != null)
{
ans.Add(child.word);
child.word = null;
}
board[i][j] = '*';
Dfs(board, i + 1, j, child, ans);
Dfs(board, i - 1, j, child, ans);
Dfs(board, i, j + 1, child, ans);
Dfs(board, i, j - 1, child, ans);
board[i][j] = c;
}
}Advertisement
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