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This is a meta-issue that I’ll use to track my progress in creating a toolkit for faster kernel reduction. This is to help me organize the work, but also to provide more visibility to interested membe…
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# 字典树Trie
字典树，即Trie树，又称单词查找树或键树，是一种树形结构。典型应用是用于统计和排序大量的字符串（但不仅限于字符串），所以经常被搜索引擎系统用于文本词频统计。**优点是：最大限度地减少无谓的字符串比较，查询效率比哈希表高。**
基本性质：
1. 结点本身不存完整单词；
2. 从根结点到某一结点，路径上经过的字符连接起来，为该结点对应的字符串；
3. 每个结点的所有子结…
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## 高级树、AVL 树和红黑树概念
### 二叉树的三种遍历
1. 前序(Pre-order)：根-左-右
2. 中序(In-order)：左-根-右
3. 后序(Post-order)：左-右-根
### 二叉搜索树
二叉搜索树，是指一棵空树或者具有下列性质的二叉树：
1. 左子树上所有结点的值均小于它的根结点的值
2. 右子树上所有结点的值均大于它的根结点的值
3. 以…
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Hello Paul,
I recently picked up another real-world code snippet that makes use of the `switch` control operator.
[You'll find its Pseudo-C code here.](https://github.com/pfalcon/ScratchABlock/fi…
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学习笔记
字典树 Trie树(多叉树) 单词查找树或键树
是一种树形结构，典型应用是用于统计和排序大量的字符串（但不仅限于字符串），所以经常被搜索引擎系统
用于文本词频统计
优点：最大限度的减少无谓的字符串比较，查找的效率比哈希表高
1.字典树的数据结构
2.字典树的核心思想
Trie树的核心思想是空间换时间
利用字符串的公共前缀来降低查询时间的开销以达…
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## Issue Description
We're looking to enhance the functionality of PyDS-A by implementing various data structures. This wills
## Proposed Data Structures
Please keep in mind that the proper way t…
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The module `DFS` implements graph algorithms. From that module, only the functions `out` and `t_close` are used externally (in NFA.hs). The functions `list_tree`, `mk_graph`, `edges`, `rev_edges`, `re…
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**13.1、Tire 树[ 字典树 ]**
字典树，即 Trie 树，又称单词 查找树或键树，是一种树形结 构。典型应用是用于统计和排 序大量的字符串(但不仅限于 字符串)，所以经常被搜索引 擎系统用于文本词频统计。
它的优点是:最大限度地减少 无谓的字符串比较，查询效率 比哈希表高。
 You mention more than one algorithm. You can create a separate issue for each algorithm once the current one is completed.
> 2) You propose an algorithm that is …
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##Description:
The AVL tree is a self-balancing binary search tree, where the heights of the two child subtrees of any node differ by at most one. It provides O(log n) time complexity for search, i…