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第 1 章 &nbsp; 初识算法
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第 1 章 &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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1.3 &nbsp; 小结
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第 2 章 &nbsp; 复杂度分析
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第 2 章 &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; 迭代与递归
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2.3 &nbsp; 时间复杂度
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2.4 &nbsp; 空间复杂度
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2.5 &nbsp; 小结
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第 3 章 &nbsp; 数据结构
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第 3 章 &nbsp; 数据结构
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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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第 4 章 &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; 内存与缓存 *
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4.5 &nbsp; 小结
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第 5 章 &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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第 6 章 &nbsp; 哈希表
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6.1 &nbsp; 哈希表
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6.2 &nbsp; 哈希冲突
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6.3 &nbsp; 哈希算法
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6.4 &nbsp; 小结
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第 7 章 &nbsp;
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第 7 章 &nbsp;
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7.1 &nbsp; 二叉树
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7.2 &nbsp; 二叉树遍历
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7.3 &nbsp; 二叉树数组表示
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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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7.6 &nbsp; 小结
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第 8 章 &nbsp;
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第 8 章 &nbsp;
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8.1 &nbsp;
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8.2 &nbsp; 建堆操作
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8.3 &nbsp; Top-k 问题
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8.4 &nbsp; 小结
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第 9 章 &nbsp;
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第 9 章 &nbsp;
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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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9.4 &nbsp; 小结
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第 10 章 &nbsp; 搜索
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第 10 章 &nbsp; 搜索
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10.1 &nbsp; 二分查找
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10.2 &nbsp; 二分查找插入点
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10.3 &nbsp; 二分查找边界
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10.4 &nbsp; 哈希优化策略
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10.5 &nbsp; 重识搜索算法
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10.6 &nbsp; 小结
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第 11 章 &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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第 12 章 &nbsp; 分治
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12.1 &nbsp; 分治算法
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12.2 &nbsp; 分治搜索策略
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12.3 &nbsp; 构建树问题
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12.4 &nbsp; 汉诺塔问题
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12.5 &nbsp; 小结
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第 13 章 &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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13.5 &nbsp; 小结
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第 14 章 &nbsp; 动态规划
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14.1 &nbsp; 初探动态规划
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14.2 &nbsp; DP 问题特性
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14.3 &nbsp; DP 解题思路
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14.4 &nbsp; 0-1 背包问题
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14.5 &nbsp; 完全背包问题
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14.6 &nbsp; 编辑距离问题
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14.7 &nbsp; 小结
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第 15 章 &nbsp; 贪心
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15.1 &nbsp; 贪心算法
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15.2 &nbsp; 分数背包问题
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15.3 &nbsp; 最大容量问题
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15.4 &nbsp; 最大切分乘积问题
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15.5 &nbsp; 小结
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第 16 章 &nbsp; 附录
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16.1 &nbsp; 编程环境安装
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16.2 &nbsp; 一起参与创作
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<h1 id="0">第 0 章 &nbsp; 前言<a class="headerlink" href="#0" title="Permanent link">&para;</a></h1>
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<p class="admonition-title">Abstract</p>
<p>算法犹如美妙的交响乐,每一行代码都像韵律般流淌。</p>
<p>愿这本书在你的脑海中轻轻响起,留下独特而深刻的旋律。</p>
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<p>两年前,我在力扣上分享了“剑指 Offer”系列题解受到了许多读者的鼓励和支持。在与读者交流期间我最常被问的一个问题是“如何入门算法”。逐渐地我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,自学能力强的人能够顺利将地雷逐个排掉,而基础不足的人很可能被炸得满头是包,并在挫折中步步退缩。通读教材也是一种常见做法,但对于面向求职的人来说,毕业论文、投递简历、准备笔试和面试已经消耗了大部分精力,啃厚重的书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。本书是我对这个问题给出的答案,即使不是最优解,也至少是一次积极的尝试。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刷题和阅读文献逐步构建起完整的知识体系。</p>
<p>我深深赞同费曼教授所言“Knowledge isn't free. You have to pay attention.”从这个意义上看,这本书并非完全“免费”。为了不辜负你为本书所付出的宝贵“注意力”,我会竭尽所能,投入最大的“注意力”来完成本书的创作。</p>
<h2 id="_1">本章内容<a class="headerlink" href="#_1" title="Permanent link">&para;</a></h2>
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<li><a href="https://www.hello-algo.com/chapter_preface/about_the_book/">0.1 &nbsp; 关于本书</a></li>
<li><a href="https://www.hello-algo.com/chapter_preface/suggestions/">0.2 &nbsp; 如何使用本书</a></li>
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