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seo:计算机基础、数据库和开发工具部分keywords和description优化
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docs/cs-basics/algorithms/10-classical-sorting-algorithms.md

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category: 计算机基础
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content: 排序算法,快速排序,归并排序,堆排序,冒泡排序,选择排序,插入排序,希尔排序,桶排序,计数排序,基数排序,时间复杂度,空间复杂度,稳定性
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content: 系统梳理十大经典排序算法,附复杂度与稳定性对比,覆盖比较类与非比较类排序的核心原理与实现场景,帮助快速选型与优化。
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> 本文转自:<http://www.guoyaohua.com/sorting.html>,JavaGuide 对其做了补充完善。

docs/cs-basics/algorithms/classical-algorithm-problems-recommendations.md

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content: 贪心,分治,回溯,动态规划,二分,双指针,算法思想,题目推荐
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content: 总结常见算法思想与解题模板,配合典型题目推荐,强调思维路径与复杂度权衡,快速构建解题体系。
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## 贪心算法

docs/cs-basics/algorithms/common-data-structures-leetcode-recommendations.md

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content: LeetCode,数组,链表,栈,队列,二叉树,题目推荐,刷题
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content: 按数据结构类别整理经典 LeetCode 题目清单,聚焦高频与核心考点,助力系统化刷题与巩固。
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## 数组

docs/cs-basics/algorithms/linkedlist-algorithm-problems.md

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content: 链表算法,两数相加,反转链表,环检测,合并链表,复杂度分析
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content: 精选链表高频题的思路与实现,覆盖两数相加、反转、环检测等场景,强调边界处理与复杂度分析。
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<!-- markdownlint-disable MD024 -->

docs/cs-basics/algorithms/string-algorithm-problems.md

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content: 字符串算法,KMP,BM,滑动窗口,子串,匹配,复杂度
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content: 总结字符串高频算法与题型,重点讲解 KMP/BM 原理、滑动窗口等技巧,助力高效匹配与实现。
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> 作者:wwwxmu

docs/cs-basics/algorithms/the-sword-refers-to-offer.md

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content: 剑指Offer,斐波那契,递归,迭代,链表,数组,面试题
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content: 选编《剑指 Offer》常见编程题,给出递归与迭代等多种思路与示例,实现对高频题型的高效复盘。
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## 斐波那契数列

docs/cs-basics/data-structure/bloom-filter.md

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content: 布隆过滤器,Bloom Filter,误判率,哈希函数,位数组,去重,缓存穿透
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content: 解析 Bloom Filter 的原理与误判特性,结合哈希与位数组实现,适用于海量数据去重与缓存穿透防护。
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布隆过滤器相信大家没用过的话,也已经听过了。

docs/cs-basics/data-structure/graph.md

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content: 图,邻接表,邻接矩阵,DFS,BFS,度,有向图,无向图,连通性
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content: 介绍图的基本概念与常用表示,结合 DFS/BFS 等核心算法与应用场景,掌握图论入门必备知识。
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图是一种较为复杂的非线性结构。 **为啥说其较为复杂呢?**

docs/cs-basics/data-structure/heap.md

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content: 堆,最大堆,最小堆,优先队列,堆化,上浮,下沉,堆排序
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content: 解析堆的性质与操作,理解优先队列实现与堆排序性能优势,掌握插入/删除的复杂度与实践场景。
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#

docs/cs-basics/data-structure/linear-data-structure.md

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content: 数组,链表,栈,队列,双端队列,复杂度分析,随机访问,插入删除
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content: 总结数组/链表/栈/队列的特性与操作,配合复杂度分析与典型应用,掌握线性结构的选型与实现。
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## 1. 数组

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