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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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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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<h1 id="15">第 15 章 &nbsp; 贪心<a class="headerlink" href="#15" title="Permanent link">&para;</a></h1>
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<p class="admonition-title">Abstract</p>
<p>向日葵朝着太阳转动,时刻追求自身成长的最大可能。</p>
<p>贪心策略在一轮轮的简单选择中,逐步导向最佳答案。</p>
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<li><a href="greedy_algorithm/">15.1 &nbsp; 贪心算法</a></li>
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<li><a href="max_capacity_problem/">15.3 &nbsp; 最大容量问题</a></li>
<li><a href="max_product_cutting_problem/">15.4 &nbsp; 最大切分乘积问题</a></li>
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