前缀树（字典树）

力扣208.实现一棵前缀树

class Trie {
    // 前缀树的节点
    class TrieNode {
        boolean isWord = false; // 表示该节点是否是单词的最后一个字符
        TrieNode[] children;

        public TrieNode() {
            children = new TrieNode[26];
        }
    }
    
    TrieNode root;  // 根节点，作为哨兵

    /** Initialize your data structure here. */
    public Trie() {
         root = new TrieNode();
    }
    
    /** Inserts a word into the trie. */
    public void insert(String word) {
        TrieNode cur = root;
        for (int i = 0; i < word.length(); i++) {
            int index = word.charAt(i) - 'a';
            if (cur.children[index] == null) {  // 表示字符还未插入
                cur.children[index] = new TrieNode();
            }
            cur = cur.children[index];
        }
        cur.isWord = true;
    }
    
    /** Returns if the word is in the trie. */
    public boolean search(String word) {
        TrieNode cur = root;
        for (int i = 0; i < word.length(); i++) {
            int index = word.charAt(i) - 'a';
            if (cur.children[index] == null) {
                return false;
            }
            cur = cur.children[index];
        }
        if (!cur.isWord) return false;  // 走到该节点，还要继续判断以该节点是不是单词的结尾
        return true;
    }
    
    /** Returns if there is any word in the trie that starts with the given prefix. */
    public boolean startsWith(String prefix) {
        TrieNode cur = root;
        for (int i = 0; i < prefix.length(); i++) {
            int index = prefix.charAt(i) - 'a';
            if (cur.children[index] == null) {
                return false;
            }
            cur = cur.children[index];
        }
        return true;
    }
}

/**
 * Your Trie object will be instantiated and called as such:
 * Trie obj = new Trie();
 * obj.insert(word);
 * boolean param_2 = obj.search(word);
 * boolean param_3 = obj.startsWith(prefix);
 */

标签：index,word,cur,TrieNode,int,字典,children,前缀
来源： https://www.cnblogs.com/xiazhenbin/p/14993555.html