The Beginners’ Guide to Trie: How to Use the Trie in C++?

  • 时间：2020-09-23 15:50:46
  • 分类：网络文摘
  • 阅读：132 次

The Trie is common used data structure to speed up the word searching. The Trie is a structure to index the words character by character.

trie-example The Beginners' Guide to Trie: How to Use the Trie in C++? algorithms c / c++ data structure tutorial

trie-example

Trie Definition in C++

Take a lowercase 26 letters for example, we can define a Trie node as a struct, as the follows:

1
2
3
4
5

struct TrieNode {
    TrieNode* children[26] = { nullptr };
    bool isWord = false; // denote if up to this point a word is complete
    string word = ""; // optional
};
struct TrieNode {
    TrieNode* children[26] = { nullptr };
    bool isWord = false; // denote if up to this point a word is complete
    string word = ""; // optional
};

Of course, you can define it as a class, but a Struct is lightweight, and serve the purpose. Each TrieNode will have an array of pointers indicating its next character. Meantime, it will have a boolean field to denote weather current node is the end of a word.

Insert/Index a Word in the Trie

First, we can declare a root node, then, we can call the following functoin to insert/index a word in the Trie.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

void insert(struct TrieNode* root, string key) {
    struct TrieNode *p = root;
    for (const auto &n: key) {
        int index = n - 'a';
        if (p->children[index] == nullptr) { 
            // not found, create a new child node
            p->children[index] = new TrieNode();
        }
        // navigate the Trie Path            
        p = p->children[index];        
    }
    // reaching the end of the word, mark it complete
    p->isWord = true;    
    p->word = key;
}
void insert(struct TrieNode* root, string key) {
    struct TrieNode *p = root;
    for (const auto &n: key) {
        int index = n - 'a';
        if (p->children[index] == nullptr) { 
            // not found, create a new child node
            p->children[index] = new TrieNode();
        }
        // navigate the Trie Path            
        p = p->children[index];        
    }
    // reaching the end of the word, mark it complete
    p->isWord = true;    
    p->word = key;
}

The indexing takes O(N) for inserting a word to the dictionary where N is the length of the word string.

Search a Word in the Trie

Given a root of TrieNode, we can easily follow the path until it has reached the end of the word i.e. the TrieNode’s isWord is true or NULL which indicates that the word is not in the dictionary. 

1
2
3
4
5
6
7
8
9
10
11
12

bool search(struct TrieNode* root, string key) {
    struct TrieNode *p = root;
    for (const auto &n: key) {
        int index = n - 'a';
        // not found in the dictionary
        if (p->children[index] == nullptr) return false;
        // navigate to next letter
        p = p->children[index];
    }
    // the current node is the end of the word        
    return (p != nullptr) && (p->isWord);
}
bool search(struct TrieNode* root, string key) {
    struct TrieNode *p = root;
    for (const auto &n: key) {
        int index = n - 'a';
        // not found in the dictionary
        if (p->children[index] == nullptr) return false;
        // navigate to next letter
        p = p->children[index];
    }
    // the current node is the end of the word        
    return (p != nullptr) && (p->isWord);
}

Finding a word is O(N) where N is the number of the characters.

Example of Using Trie

1
2
3
4

struct TrieNode *root = new TrieNode();
insert(root, "hello world!");
search(root, "hello"); // false
search(root, "hello world!"); // true
struct TrieNode *root = new TrieNode();
insert(root, "hello world!");
search(root, "hello"); // false
search(root, "hello world!"); // true

–EOF (The Ultimate Computing & Technology Blog) —

推荐阅读：
The Algorithm to Make Words Bold in HTML　 The O(N) Increasing Triplet Subsequence Algorithm　 How to Compute the Greatest Common Divisor of Strings?　 How to Design a Tic-Tac-Toe Game?　 The Facebook Initial Coding Interview Experience　 Facebook Onsite Interview Preparation Part 2: Coding Questions　 The Process Killing Algorithms using Depth First Search or Bread　 Breadth-First Search Algorithm to Solve Puzzle (Rotting Oranges)　 Facebook Onsite Interview Preparation Part 1: Motivation/Bahavio　 Celebrate WordPress’ 13th Birthday With These Interesting Facts　
评论列表
添加评论