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第 15 章 &nbsp; 貪婪
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第 1 章 &nbsp; 初識演算法
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1.1 &nbsp; 演算法無處不在
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第 2 章 &nbsp; 複雜度分析
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2.1 &nbsp; 演算法效率評估
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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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第 3 章 &nbsp; 資料結構
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3.1 &nbsp; 資料結構分類
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3.2 &nbsp; 基本資料型別
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3.3 &nbsp; 數字編碼 *
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3.4 &nbsp; 字元編碼 *
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第 4 章 &nbsp; 陣列與鏈結串列
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4.1 &nbsp; 陣列
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4.3 &nbsp; 串列
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第 5 章 &nbsp; 堆疊與佇列
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5.1 &nbsp; 堆疊
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第 6 章 &nbsp; 雜湊表
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6.1 &nbsp; 雜湊表
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6.2 &nbsp; 雜湊衝突
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6.3 &nbsp; 雜湊演算法
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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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7.6 &nbsp; 小結
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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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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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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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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="15">第 15 章 &nbsp; 貪婪<a class="headerlink" href="#15" title="Permanent link">&para;</a></h1>
<p><a class="glightbox" href="../assets/covers/chapter_greedy.jpg" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="貪婪" class="cover-image" src="../assets/covers/chapter_greedy.jpg" /></a></p>
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<p class="admonition-title">Abstract</p>
<p>向日葵朝著太陽轉動,時刻追求自身成長的最大可能。</p>
<p>貪婪策略在一輪輪的簡單選擇中,逐步導向最佳答案。</p>
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<li><a href="greedy_algorithm/">15.1 &nbsp; 貪婪演算法</a></li>
<li><a href="fractional_knapsack_problem/">15.2 &nbsp; 分數背包問題</a></li>
<li><a href="max_capacity_problem/">15.3 &nbsp; 最大容量問題</a></li>
<li><a href="max_product_cutting_problem/">15.4 &nbsp; 最大切分乘積問題</a></li>
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