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2.3 &nbsp; 時間複雜度
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2.4 &nbsp; 空間複雜度
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3.3 &nbsp; 數字編碼 *
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7.1 &nbsp; 二元樹
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7.2 &nbsp; 二元樹走訪
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7.3 &nbsp; 二元樹陣列表示
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7.4 &nbsp; 二元搜尋樹
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7.5 &nbsp; AVL *
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第 8 章 &nbsp; 堆積
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第 8 章 &nbsp; 堆積
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8.1 &nbsp; 堆積
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8.2 &nbsp; 建堆積操作
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8.3 &nbsp; Top-k 問題
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8.4 &nbsp; 小結
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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; 圖基礎操作
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9.3 &nbsp; 圖的走訪
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9.4 &nbsp; 小結
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第 10 章 &nbsp; 搜尋
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第 10 章 &nbsp; 搜尋
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10.1 &nbsp; 二分搜尋
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10.2 &nbsp; 二分搜尋插入點
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10.3 &nbsp; 二分搜尋邊界
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10.4 &nbsp; 雜湊最佳化策略
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10.5 &nbsp; 重識搜尋演算法
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10.6 &nbsp; 小結
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第 11 章 &nbsp; 排序
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11.1 &nbsp; 排序演算法
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11.2 &nbsp; 選擇排序
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11.3 &nbsp; 泡沫排序
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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; 合併排序
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11.7 &nbsp; 堆積排序
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11.8 &nbsp; 桶排序
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11.9 &nbsp; 計數排序
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11.10 &nbsp; 基數排序
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11.11 &nbsp; 小結
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第 12 章 &nbsp; 分治
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12.1 &nbsp; 分治演算法
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12.2 &nbsp; 分治搜尋策略
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12.3 &nbsp; 構建樹問題
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12.4 &nbsp; 河內塔問題
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12.5 &nbsp; 小結
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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; 回溯演算法
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13.2 &nbsp; 全排列問題
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13.3 &nbsp; 子集和問題
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13.4 &nbsp; N 皇后問題
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13.5 &nbsp; 小結
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第 14 章 &nbsp; 動態規劃
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14.1 &nbsp; 初探動態規劃
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14.2 &nbsp; DP 問題特性
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14.3 &nbsp; DP 解題思路
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14.4 &nbsp; 0-1 背包問題
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14.5 &nbsp; 完全背包問題
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14.6 &nbsp; 編輯距離問題
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14.7 &nbsp; 小結
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<h1 id="3">第 3 章 &nbsp; 資料結構<a class="headerlink" href="#3" title="Permanent link">&para;</a></h1>
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<p class="admonition-title">Abstract</p>
<p>資料結構如同一副穩固而多樣的框架。</p>
<p>它為資料的有序組織提供了藍圖,演算法得以在此基礎上生動起來。</p>
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<h2 id="_1">本章內容<a class="headerlink" href="#_1" title="Permanent link">&para;</a></h2>
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<li><a href="classification_of_data_structure/">3.1 &nbsp; 資料結構分類</a></li>
<li><a href="basic_data_types/">3.2 &nbsp; 基本資料型別</a></li>
<li><a href="number_encoding/">3.3 &nbsp; 數字編碼 *</a></li>
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