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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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3.4. &nbsp; 字符编码 *
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3.5. &nbsp; 小结
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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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5.2. &nbsp; 队列
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5.3. &nbsp; 双向队列
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7.2. &nbsp; 二叉树遍历
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7.4. &nbsp; 二叉搜索树
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7.5. &nbsp; AVL 树 *
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8.1. &nbsp;
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8.2. &nbsp; 建堆操作 *
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9.1. &nbsp;
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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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10.1. &nbsp; 二分查找New
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10.2. &nbsp; 二分查找边界New
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10.3. &nbsp; 哈希优化策略
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10.4. &nbsp; 重识搜索算法
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11.1. &nbsp; 排序算法
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11.2. &nbsp; 选择排序(New)
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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; 桶排序
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11.8. &nbsp; 计数排序
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11.9. &nbsp; 基数排序
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12.1. &nbsp; 回溯算法New
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12.3. &nbsp; N 皇后问题New
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0.1.1. &nbsp; 读者对象
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0.1.2. &nbsp; 内容结构
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<h1 id="01">0.1. &nbsp; 关于本书<a class="headerlink" href="#01" title="Permanent link">&para;</a></h1>
<p>本项目旨在创建一本开源免费、新手友好的数据结构与算法入门教程。</p>
<ul>
<li>全书采用动画图解,结构化地讲解数据结构与算法知识,内容清晰易懂、学习曲线平滑;</li>
<li>算法源代码皆可一键运行,支持 Java, C++, Python, Go, JS, TS, C#, Swift, Zig 等语言;</li>
<li>鼓励读者在章节讨论区互帮互助、共同进步,提问与评论通常可在两日内得到回复;</li>
</ul>
<h2 id="011">0.1.1. &nbsp; 读者对象<a class="headerlink" href="#011" title="Permanent link">&para;</a></h2>
<p>若您是「算法初学者」,从未接触过算法,或者已经有一些刷题经验,对数据结构与算法有模糊的认识,在会与不会之间反复横跳,那么这本书正是为您量身定制!</p>
<p>如果您是「算法老手」,已经积累一定刷题量,熟悉大部分题型,那么本书可助您回顾与梳理算法知识体系,仓库源代码可以被当作“刷题工具库”或“算法字典”来使用。</p>
<p>若您是「算法专家」,我们期待收到您的宝贵建议,或者<a href="https://www.hello-algo.com/chapter_appendix/contribution/">一起参与创作</a></p>
<div class="admonition success">
<p class="admonition-title">前置条件</p>
<p>您需要至少具备任一语言的编程基础,能够阅读和编写简单代码。</p>
</div>
<h2 id="012">0.1.2. &nbsp; 内容结构<a class="headerlink" href="#012" title="Permanent link">&para;</a></h2>
<p>本书主要内容包括:</p>
<ul>
<li><strong>复杂度分析</strong>:数据结构与算法的评价维度、算法效率的评估方法。时间复杂度、空间复杂度,包括推算方法、常见类型、示例等。</li>
<li><strong>数据结构</strong>:常见基本数据类型,数据在内存中的存储形式、数据结构的分类方法。涉及数组、链表、栈、队列、散列表、树、堆、图等数据结构,内容包括定义、优缺点、常用操作、常见类型、典型应用、实现方法等。</li>
<li><strong>算法</strong>:查找算法、排序算法、搜索与回溯、动态规划、分治算法等,内容涵盖定义、应用场景、优缺点、时空效率、实现方法、示例题目等。</li>
</ul>
<p><img alt="Hello 算法内容结构" src="../about_the_book.assets/hello_algo_mindmap.png" /></p>
<p align="center"> Fig. Hello 算法内容结构 </p>
<h2 id="013">0.1.3. &nbsp; 致谢<a class="headerlink" href="#013" title="Permanent link">&para;</a></h2>
<p>在本书的创作过程中,我得到了许多人的帮助,包括但不限于:</p>
<ul>
<li>感谢我在公司的导师李汐博士,在深入交谈中您鼓励我“行动起来”,坚定了我写这本书的决心。</li>
<li>感谢我的女朋友泡泡作为本书的首位读者,从算法小白的角度提出许多宝贵建议,使得本书更适合新手阅读。</li>
<li>感谢腾宝、琦宝、飞宝为本书起了一个富有创意的名字,唤起大家写下第一行代码 "Hello World!" 的美好回忆。</li>
<li>感谢苏潼为本书设计了精美的封面和 LOGO并在我的强迫症下多次耐心修改。</li>
<li>感谢 @squidfunk 提供的写作排版建议,以及杰出的开源项目 <a href="https://github.com/squidfunk/mkdocs-material/tree/master">Material-for-MkDocs</a></li>
</ul>
<p>在写作过程中,我阅读了许多关于数据结构与算法的教材和文章。这些作品为本书提供了优秀的范本,确保了本书内容的准确性与品质。在此感谢所有老师和前辈们的杰出贡献!</p>
<p>本书倡导“手脑并用”的学习方法,在此方面深受《动手学深度学习》的启发。在此向各位读者强烈推荐这本优秀著作,包括<a href="https://github.com/d2l-ai/d2l-zh">中文版</a><a href="https://github.com/d2l-ai/d2l-en">英文版</a><a href="https://space.bilibili.com/1567748478">李沐老师 bilibili 主页</a></p>
<p>衷心感谢我的父母,正是你们一直以来的支持与鼓励,让我有机会做这些富有趣味的事。</p>
<h2 id="__comments">评论</h2>
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