算法数据结构之 Trie 前缀树 All In One

算法数据结构之 Trie 前缀树 All In One

In computer science, a trie (/ˈtraɪ/, /ˈtriː/ ⓘ), also known as a digital tree or prefix tree,is a specialized search tree data structure used to store and retrieve strings from a dictionary or set.
Unlike a binary search tree, nodes in a trie do not store their associated key.
Instead, each node's position within the trie determines its associated key, with the connections between nodes defined by individual characters rather than the entire key.

在计算机科学中，trie（/ˈtraɪ/, /ˈtriː/ ⓘ），也称为数字树或前缀树，是一种专门用于存储和检索字典或集合中字符串的搜索树数据结构。
与二叉搜索树不同，trie 中的节点不存储其关联的键。
相反，每个节点在 trie 中的位置决定了其关联的键，节点之间的连接由单个字符而非整个键定义。

https://en.wikipedia.org/wiki/Trie

demos

208. Implement Trie (Prefix Tree)

A trie (pronounced as "try") or prefix tree is a tree data structure used to efficiently store and retrieve keys in a dataset of strings. There are various applications of this data structure, such as autocomplete and spellchecker.

class Trie {
    constructor() {
        
    }

    insert(word: string): void {
        
    }

    search(word: string): boolean {
        
    }

    startsWith(prefix: string): boolean {
        
    }
}

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

https://leetcode.com/problems/implement-trie-prefix-tree/

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Trie / 前缀树

https://time.geekbang.org/course/detail/100019701-67642

refs

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