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/* * 208. Implement Trie (Prefix Tree) * 2016-6-9 by Mingyang * 我在这里的时候用的hashmap来做的地图,这里用的是array,一样的原理 * 不过我没有想到的是需要一个isEnd的property,因为这里的search必须找到end的时候才是成功的找到 */ class Tries { public TrieNode root; public Tries() { root = new TrieNode(); root.isEnd = true; } public void insert(String word) { if (word == null || word.length() == 0) return; TrieNode node = root; char[] letters = word.toCharArray(); for (int i = 0; i < word.length(); i++) { int pos = letters[i] - ‘a‘; if (node.son[pos] == null) { node.son[pos] = new TrieNode(); node.son[pos].val = letters[i]; } node = node.son[pos]; } node.isEnd = true; } // Returns if the word is in the trie. public boolean search(String word) { if (word == null || word.length() == 0) { return false; } TrieNode node = root; char[] letters = word.toCharArray(); for (int i = 0; i < word.length(); i++) { int pos = letters[i] - ‘a‘; if (node.son[pos] != null) { node = node.son[pos]; } else { return false; } } return node.isEnd; } // Returns if there is any word in the trie // that starts with the given prefix. public boolean startsWith(String prefix) { if (prefix == null || prefix.length() == 0) { return false; } TrieNode node = root; char[] letters = prefix.toCharArray(); for (int i = 0; i < prefix.length(); i++) { int pos = letters[i] - ‘a‘; if (node.son[pos] != null) { node = node.son[pos]; } else { return false; } } return true; } } class TrieNode { // Initialize your data structure here. TrieNode[] son;// 所有的儿子节点 boolean isEnd;// 是不是最后一个节点 char val;// 节点的值 TrieNode() { this.son = new TrieNode[26]; this.isEnd = false; } }
208. Implement Trie (Prefix Tree)
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原文地址:http://www.cnblogs.com/zmyvszk/p/5573285.html