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0. &nbsp; &nbsp; 写在前面
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0. &nbsp; &nbsp; 写在前面
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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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0.3. &nbsp; 小结
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1. &nbsp; &nbsp; 引言
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1. &nbsp; &nbsp; 引言
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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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1.3. &nbsp; 小结
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2. &nbsp; &nbsp; 复杂度分析
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2. &nbsp; &nbsp; 复杂度分析
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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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2.4. &nbsp; 小结
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3. &nbsp; &nbsp; 数据结构简介
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3. &nbsp; &nbsp; 数据结构简介
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3.1. &nbsp; 数据与内存
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3.2. &nbsp; 数据结构分类
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3.3. &nbsp; 小结
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4. &nbsp; &nbsp; 数组与链表
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4. &nbsp; &nbsp; 数组与链表
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<a href="chapter_array_and_linkedlist/array/" class="md-nav__link">
4.1. &nbsp; 数组
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<a href="chapter_array_and_linkedlist/linked_list/" class="md-nav__link">
4.2. &nbsp; 链表
</a>
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<li class="md-nav__item">
<a href="chapter_array_and_linkedlist/list/" class="md-nav__link">
4.3. &nbsp; 列表
</a>
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<a href="chapter_array_and_linkedlist/summary/" class="md-nav__link">
4.4. &nbsp; 小结
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_6" >
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5. &nbsp; &nbsp; 栈与队列
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5. &nbsp; &nbsp; 栈与队列
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5.1. &nbsp;
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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; 二分查找
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6. &nbsp; &nbsp; 二分查找
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6.1. &nbsp; 二分查找
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7. &nbsp; &nbsp; 散列表
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7. &nbsp; &nbsp; 散列表
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7.1. &nbsp; 哈希表
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7.2. &nbsp; 哈希冲突处理
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8. &nbsp; &nbsp;
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8. &nbsp; &nbsp;
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8.1. &nbsp; 二叉树
</a>
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<li class="md-nav__item">
<a href="chapter_tree/binary_tree_traversal/" class="md-nav__link">
8.2. &nbsp; 二叉树遍历
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<a href="chapter_tree/binary_search_tree/" class="md-nav__link">
8.3. &nbsp; 二叉搜索树
</a>
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<li class="md-nav__item">
<a href="chapter_tree/avl_tree/" class="md-nav__link">
8.4. &nbsp; AVL 树 *
</a>
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8.5. &nbsp; 小结
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9. &nbsp; &nbsp;
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9. &nbsp; &nbsp;
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9.1. &nbsp;
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9.2. &nbsp; 建堆操作 *
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10. &nbsp; &nbsp;
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10.1. &nbsp;
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10.2. &nbsp; 图基础操作
</a>
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10.3. &nbsp; 图的遍历
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10.4. &nbsp; 小结
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11. &nbsp; &nbsp; 排序算法
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11. &nbsp; &nbsp; 排序算法
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11.1. &nbsp; 排序算法
</a>
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11.2. &nbsp; 冒泡排序
</a>
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11.3. &nbsp; 插入排序
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11.4. &nbsp; 快速排序
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11.5. &nbsp; 归并排序
</a>
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<li class="md-nav__item">
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11.6. &nbsp; 桶排序
</a>
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11.7. &nbsp; 计数排序
</a>
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<a href="chapter_sorting/radix_sort/" class="md-nav__link">
11.8. &nbsp; 基数排序
</a>
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11.9. &nbsp; 小结
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12. &nbsp; &nbsp; 搜索算法
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12. &nbsp; &nbsp; 搜索算法
</label>
<ul class="md-nav__list" data-md-scrollfix>
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<a href="chapter_searching/searching_algorithm_revisited/" class="md-nav__link">
12.1. &nbsp; 搜索算法New
</a>
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<a href="chapter_searching/replace_linear_by_hashing/" class="md-nav__link">
12.2. &nbsp; 哈希优化策略
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12.3. &nbsp; 小结
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13. &nbsp; &nbsp; 回溯算法
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13. &nbsp; &nbsp; 回溯算法
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<ul class="md-nav__list" data-md-scrollfix>
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<a href="chapter_backtracking/backtracking_algorithm/" class="md-nav__link">
13.1. &nbsp; 回溯算法New
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14. &nbsp; &nbsp; 附录
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14.1. &nbsp; 编程环境安装
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14.2. &nbsp; 一起参与创作
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M10 20H6V4h7v5h5v3.1l2-2V8l-6-6H6c-1.1 0-2 .9-2 2v16c0 1.1.9 2 2 2h4v-2m10.2-7c.1 0 .3.1.4.2l1.3 1.3c.2.2.2.6 0 .8l-1 1-2.1-2.1 1-1c.1-.1.2-.2.4-.2m0 3.9L14.1 23H12v-2.1l6.1-6.1 2.1 2.1Z"/></svg>
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<p><div class="result" markdown>
<img align="left" alt="conceptual_rendering" src="index.assets/conceptual_rendering.png" width="330" />
</br></br></br></br></br>
<h1 align="center"> 《 Hello 算法 》 </h1>
<p align="center"> 动画图解、能运行、可提问的</br>数据结构与算法快速入门教程 </p>
<p align="center"> <a href="https://github.com/krahets/hello-algo"><img alt="github-stars" src="https://img.shields.io/github/stars/krahets/hello-algo?style=social" /></a></p>
<h6 align="center"> <a href="https://leetcode.cn/u/jyd/">@Krahets</a> </h6>
</div></p>
</div>
</div>
</div>
<hr />
<h2 align="center"> 推荐语 </h2>
<div class="admonition quote">
<p class="admonition-title">Quote</p>
<p>“一本通俗易懂的数据结构与算法入门书,引导读者手脑并用地学习,强烈推荐算法初学者阅读。”</p>
<p><strong>—— 邓俊辉,清华大学计算机系教授</strong></p>
</div>
<div class="admonition quote">
<p class="admonition-title">Quote</p>
<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>
<p><strong>—— 李沐,亚马逊资深首席科学家</strong></p>
</div>
<hr />
<h3 align="center"> 「全书动画图解」 </h3>
<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"></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 (Krahets)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 22 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):</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 justintse, krahets, nuomi1, Reanon, sjinzh 完成,感谢他们的辛勤付出!</p>
<div class="center-table">
<table>
<tbody>
<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>
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<h2 id="__comments">评论</h2>
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