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第 1 章 &nbsp; 初识算法
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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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2.3 &nbsp; 时间复杂度
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2.4 &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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第 4 章 &nbsp; 数组与链表
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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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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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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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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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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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<h1 id="_1">参考文献<a class="headerlink" href="#_1" title="Permanent link">&para;</a></h1>
<p>[1] Thomas H. Cormen, et al. Introduction to Algorithms (3<sup>rd</sup> Edition).</p>
<p>[2] Aditya Bhargava. Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People (1<sup>st</sup> Edition).</p>
<p>[3] Robert Sedgewick, et al. Algorithms (4<sup>th</sup> Edition).</p>
<p>[4] 严蔚敏. 数据结构C 语言版).</p>
<p>[5] 邓俊辉. 数据结构C++ 语言版,第三版).</p>
<p>[6] 马克 艾伦 维斯著,陈越译. 数据结构与算法分析Java语言描述第三版.</p>
<p>[7] 程杰. 大话数据结构.</p>
<p>[8] 王争. 数据结构与算法之美.</p>
<p>[9] Gayle Laakmann McDowell. Cracking the Coding Interview: 189 Programming Questions and Solutions (6<sup>th</sup> Edition).</p>
<p>[10] Aston Zhang, et al. Dive into Deep Learning.</p>
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