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500 幅動畫圖解、14 種程式語言程式碼、3000 條社群問答,助你快速入門資料結構與演算法
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推薦語
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“一本通俗易懂的資料結構與演算法入門書,引導讀者手腦並用地學習,強烈推薦演算法初學者閱讀。”
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—— 鄧俊輝,清華大學計算機系教授
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“如果我當年學資料結構與演算法的時候有《Hello 演算法》,學起來應該會簡單 10 倍!”
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<p style="font-weight: bold;">
—— 李沐,亞馬遜資深首席科學家
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動畫圖解
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內容清晰易懂,學習曲線平滑
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<p class="intro-quote">
"A picture is worth a thousand words."
<br/>
“一圖勝千言”
</p>
</div>
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<img alt="Animation example" class="intro-image" src="index.assets/animation.gif"/>
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一鍵執行
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十餘種程式語言,程式碼視覺化執行
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<p class="intro-quote">
"Talk is cheap. Show me the code."
<br/>
“少吹牛,看程式碼”
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互助學習
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歡迎討論與提問,讀者間攜手共進
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<p class="intro-quote">
"Learning by teaching."
<br/>
“教學相長”
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作者
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<img alt="Author: yudongjin" class="profile-img" src="../assets/avatar/avatar_yudongjin.jpg"/>
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<b>
靳宇棟(@krahets
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</a>
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<h3>
程式碼審閱者
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<a href="https://github.com/codingonion">
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<b>
codingonion
</b>
<br/>
<sub>
Zig, Rust
</sub>
</a>
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<a href="https://github.com/Gonglja">
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Gonglja
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C, C++
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gvenusleo
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Dart
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hpstory
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<br/>
<sub>
C#
</sub>
</a>
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<b>
justin-tse
</b>
<br/>
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JS, TS
</sub>
</a>
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krahets
</b>
<br/>
<sub>
Python, Java
</sub>
</a>
</div>
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<a href="https://github.com/night-cruise">
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<b>
night-cruise
</b>
<br/>
<sub>
Rust
</sub>
</a>
</div>
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<br/>
<b>
nuomi1
</b>
<br/>
<sub>
Swift
</sub>
</a>
</div>
<div class="profile-cell">
<a href="https://github.com/Reanon">
<img alt="Reviewer: Reanon" class="profile-img" src="../assets/avatar/avatar_Reanon.jpg"/>
<br/>
<b>
Reanon
</b>
<br/>
<sub>
Go, C
</sub>
</a>
</div>
</div>
</div>
<div style="margin: 2em auto;">
<h3>
貢獻者
</h3>
<p>
本書在開源社群一百多位貢獻者的共同努力下不斷完善,感謝他們付出的時間與精力!
</p>
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第 0 章   前言
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第 0 章   前言
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0.1   關於本書
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0.2   如何使用本書
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0.3   小結
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第 1 章   初識演算法
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第 1 章   初識演算法
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1.1   演算法無處不在
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1.2   演算法是什麼
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1.3   小結
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第 2 章   複雜度分析
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第 2 章   複雜度分析
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2.1   演算法效率評估
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2.2   迭代與遞迴
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2.3   時間複雜度
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2.4   空間複雜度
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2.5   小結
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第 3 章   資料結構
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第 3 章   資料結構
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3.1   資料結構分類
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3.2   基本資料型別
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3.3   數字編碼 *
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3.4   字元編碼 *
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3.5   小結
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第 4 章   陣列與鏈結串列
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第 4 章   陣列與鏈結串列
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4.1   陣列
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4.2   鏈結串列
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4.3   串列
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4.4   記憶體與快取 *
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4.5   小結
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第 5 章   堆疊與佇列
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第 5 章   堆疊與佇列
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5.1   堆疊
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5.2   佇列
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5.3   雙向佇列
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5.4   小結
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第 6 章   雜湊表
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第 6 章   雜湊表
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6.1   雜湊表
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6.2   雜湊衝突
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6.3   雜湊演算法
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6.4   小結
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第 7 章  
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第 7 章  
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7.1   二元樹
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7.2   二元樹走訪
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7.3   二元樹陣列表示
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7.4   二元搜尋樹
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7.5   AVL *
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7.6   小結
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第 8 章   堆積
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第 8 章   堆積
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8.1   堆積
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8.2   建堆積操作
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8.3   Top-k 問題
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8.4   小結
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第 9 章  
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第 9 章  
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9.1  
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9.2   圖基礎操作
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9.3   圖的走訪
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9.4   小結
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第 10 章   搜尋
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第 10 章   搜尋
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10.1   二分搜尋
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10.2   二分搜尋插入點
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10.3   二分搜尋邊界
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10.4   雜湊最佳化策略
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10.5   重識搜尋演算法
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10.6   小結
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第 11 章   排序
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第 11 章   排序
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11.1   排序演算法
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11.2   選擇排序
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11.3   泡沫排序
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11.4   插入排序
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11.5   快速排序
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11.6   合併排序
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11.7   堆積排序
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11.8   桶排序
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11.9   計數排序
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11.10   基數排序
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11.11   小結
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第 12 章   分治
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第 12 章   分治
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12.1   分治演算法
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12.2   分治搜尋策略
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12.3   構建樹問題
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12.4   河內塔問題
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12.5   小結
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第 13 章   回溯
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第 13 章   回溯
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13.1   回溯演算法
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13.2   全排列問題
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13.3   子集和問題
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13.4   N 皇后問題
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13.5   小結
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第 15 章   貪婪
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16.2   一起參與創作
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