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0. &nbsp; &nbsp; 前言
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0.1. &nbsp; 关于本书
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0.2. &nbsp; 如何使用本书
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1. &nbsp; &nbsp; 初识算法
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1.1. &nbsp; 算法无处不在
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1.2. &nbsp; 算法是什么
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2.1. &nbsp; 算法效率评估
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2.2. &nbsp; 时间复杂度
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2.3. &nbsp; 空间复杂度
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3.1. &nbsp; 数据结构分类
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3.2. &nbsp; 基本数据类型
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3.3. &nbsp; 数字编码 *
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4. &nbsp; &nbsp; 数组与链表
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4.1. &nbsp; 数组
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4.2. &nbsp; 链表
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4.3. &nbsp; 列表
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4.4. &nbsp; 小结
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5. &nbsp; &nbsp; 栈与队列
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5.1. &nbsp; 栈
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5.2. &nbsp; 队列
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5.3. &nbsp; 双向队列
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5.4. &nbsp; 小结
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6. &nbsp; &nbsp; 散列表
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6.1. &nbsp; 哈希表（New）
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6.2. &nbsp; 哈希冲突（New）
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6.3. &nbsp; 哈希算法（New）
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6.4. &nbsp; 小结
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7. &nbsp; &nbsp; 树
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7.1. &nbsp; 二叉树
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<a href="chapter_tree/binary_tree_traversal/" class="md-nav__link">
7.2. &nbsp; 二叉树遍历
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<a href="chapter_tree/array_representation_of_tree/" class="md-nav__link">
7.3. &nbsp; 二叉树数组表示
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<a href="chapter_tree/binary_search_tree/" class="md-nav__link">
7.4. &nbsp; 二叉搜索树
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<a href="chapter_tree/avl_tree/" class="md-nav__link">
7.5. &nbsp; AVL 树 *
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7.6. &nbsp; 小结
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8. &nbsp; &nbsp; 堆
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8.1. &nbsp; 堆
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8.2. &nbsp; 建堆操作
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8.3. &nbsp; Top-K 问题（New）
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8.4. &nbsp; 小结
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9. &nbsp; &nbsp; 图
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9.1. &nbsp; 图
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9.2. &nbsp; 图基础操作
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9.3. &nbsp; 图的遍历
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9.4. &nbsp; 小结
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<a href="chapter_searching/">10. &nbsp; &nbsp; 搜索</a>
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10. &nbsp; &nbsp; 搜索
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10.1. &nbsp; 二分查找
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<a href="chapter_searching/binary_search_edge/" class="md-nav__link">
10.2. &nbsp; 二分查找边界
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<a href="chapter_searching/replace_linear_by_hashing/" class="md-nav__link">
10.3. &nbsp; 哈希优化策略
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<a href="chapter_searching/searching_algorithm_revisited/" class="md-nav__link">
10.4. &nbsp; 重识搜索算法
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10.5. &nbsp; 小结
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11. &nbsp; &nbsp; 排序
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11.1. &nbsp; 排序算法
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11.2. &nbsp; 选择排序
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11.3. &nbsp; 冒泡排序
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11.4. &nbsp; 插入排序
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11.5. &nbsp; 快速排序
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11.6. &nbsp; 归并排序
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11.7. &nbsp; 堆排序
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11.8. &nbsp; 桶排序
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11.9. &nbsp; 计数排序
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11.10. &nbsp; 基数排序
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11.11. &nbsp; 小结
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12. &nbsp; &nbsp; 分治
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12.1. &nbsp; 分治算法（New）
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12.2. &nbsp; 分治搜索策略（New）
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12.3. &nbsp; 构建树问题（New）
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13. &nbsp; &nbsp; 回溯
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13.1. &nbsp; 回溯算法
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13.2. &nbsp; 全排列问题
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13.3. &nbsp; 子集和问题
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13.4. &nbsp; N 皇后问题
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14. &nbsp; &nbsp; 动态规划
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14.1. &nbsp; 初探动态规划（New）
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14.2. &nbsp; DP 问题特性（New）
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14.3. &nbsp; DP 解题思路（New）
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14.4. &nbsp; 0-1 背包问题（New）
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14.5. &nbsp; 完全背包问题（New）
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14.6. &nbsp; 编辑距离问题（New）
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15. &nbsp; &nbsp; 附录
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15.2. &nbsp; 一起参与创作
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<p>“如果我当年学数据结构与算法的时候有《Hello 算法》，学起来应该会简单 10 倍！”</p>
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<p align="center"> 内容清晰易懂、学习曲线平滑</br>电脑、平板、手机全终端阅读 </p>
<p><img alt="algorithm_animation" src="index.assets/animation.gif" /></p>
<div class="admonition quote">
<p><p align="center"> "A picture is worth a thousand words." </p>
<p align="center"> “一图胜千言” </p></p>
</div>
<hr />
<h3 align="center"> 代码一键运行 </h3>
<p align="center"> 提供各个算法与数据结构的简洁实现与测试样例，皆可直接运行</br>支持 Java, C++, Python, Go, JS, TS, C#, Swift, Zig 等语言 </p>
<p><img alt="running_code" src="index.assets/running_code.gif" /></p>
<div class="admonition quote">
<p><p align="center"> "Talk is cheap. Show me the code." </p>
<p align="center"> “少吹牛，看代码” </p></p>
</div>
<hr />
<h3 align="center"> 可讨论与提问 </h3>
<p align="center"> 鼓励小伙伴们互帮互助、共同成长</br>提问与评论一般能在两日内得到回复 </p>
<p><img alt="comment" src="index.assets/comment.gif" /></p>
<div class="admonition quote">
<p><p align="center"> “追风赶月莫停留，平芜尽处是春山” </p>
<p align="center"> 一起加油！ </p></p>
</div>
<hr />
<h2 align="center"> 序 </h2>
<p>两年前，我在力扣上分享了《剑指 Offer》系列题解，受到了许多朋友的喜爱与支持。在此期间，我回答了众多读者的评论问题，其中最常见的一个问题是“如何入门学习算法”。我逐渐也对这个问题产生了浓厚的兴趣。</p>
<p>两眼一抹黑地刷题似乎是最受欢迎的方法，简单直接且有效。然而，刷题就如同玩“扫雷”游戏，自学能力强的同学能够顺利地将地雷逐个排掉，而基础不足的同学很可能被炸的满头是包，并在挫折中步步退缩。通读教材书籍也是一种常见做法，但对于面向求职的同学来说，毕业季、投递简历、准备笔试面试已经占据了大部分精力，厚重的书籍往往变成了一项艰巨的挑战。</p>
<p>如果你也面临类似的困扰，那么很幸运这本书找到了你。本书是我对此问题的给出的答案，虽然不一定正确，但至少是一次积极的尝试。这本书虽然不足以让你直接拿到 Offer ，但会引导你探索数据结构与算法的“知识地图”，带你了解不同“地雷”的形状大小和分布位置，让你掌握各种“排雷方法”。有了这些本领，相信你可以更加自如地应对刷题和阅读文献，逐步构建起完整的知识体系。</p>
<h3 align="left"> 作者简介 </h3>
<p>靳宇栋 (<a href="https://leetcode.cn/u/jyd/">Krahets</a>)，大厂高级算法工程师，上海交通大学硕士。力扣（LeetCode）全网阅读量最高博主，其 LeetBook《图解算法数据结构》已被订阅 24 万本。</p>
<hr />
<h2 align="center"> 致谢 </h2>
<p>本书在开源社区众多贡献者的共同努力下不断成长。感谢每一位投入时间与精力的撰稿人，是他们无私奉献使这本书越变越好，他们是（按照 GitHub 自动生成的顺序排列）：</p>
<p align="center">
<a href="https://github.com/krahets/hello-algo/graphs/contributors">
<img width="550" src="https://contrib.rocks/image?repo=krahets/hello-algo" />
</a>
</p>
<p>本书的代码审阅工作由 Gonglja, gvenusleo, justin‐tse, krahets, nuomi1, Reanon, sjinzh 完成（按照首字母顺序排列）。感谢他们付出的时间与精力，正是他们确保了各语言代码的规范与统一。</p>
<div class="center-table">
<table>
<tbody>
<td align="center"><a href="https://github.com/Gonglja"><img src="https://avatars.githubusercontent.com/u/39959756?v=4" width="50px;" alt="Gonglja"/><br /><sub><b>Gonglja</b></sub></a><br /><sub>C / C++</sub></td>
<td align="center"><a href="https://github.com/gvenusleo"><img src="https://avatars.githubusercontent.com/u/79075347?v=4" width="50px;" alt="gvenusleo"/><br /><sub><b>gvenusleo</b></sub></a><br /><sub>Dart</sub></td>
<td align="center"><a href="https://github.com/hpstory"><img src="https://avatars.githubusercontent.com/u/33348162?v=4" width="50px;" alt="hpstory"/><br /><sub><b>hpstory</b></sub></a><br /><sub>C#</sub></td>
<td align="center"><a href="https://github.com/justin-tse"><img src="https://avatars.githubusercontent.com/u/24556310?v=4" width="50px;" alt="justin-tse"/><br /><sub><b>justin-tse</b></sub></a><br /><sub>JS / TS</sub></td>
<td align="center"><a href="https://github.com/krahets"><img src="https://avatars.githubusercontent.com/u/26993056?v=4" width="50px;" alt="krahets"/><br /><sub><b>krahets</b></sub></a><br /><sub>Java / Python</sub></td>
<td align="center"><a href="https://github.com/nuomi1"><img src="https://avatars.githubusercontent.com/u/3739017?v=4" width="50px;" alt="nuomi1"/><br /><sub><b>nuomi1</b></sub></a><br /><sub>Swift</sub></td>
<td align="center"><a href="https://github.com/Reanon"><img src="https://avatars.githubusercontent.com/u/22005836?v=4" width="50px;" alt="Reanon"/><br /><sub><b>Reanon</b></sub></a><br /><sub>Go / C</sub></td>
<td align="center"><a href="https://github.com/sjinzh"><img src="https://avatars.githubusercontent.com/u/99076655?v=4" width="50px;" alt="sjinzh"/><br /><sub><b>sjinzh</b></sub></a><br /><sub>Rust / Zig</sub></td>
</tbody>
</table>
</div>
<hr />
<h2 id="__comments">评论</h2>
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