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初识算法
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复杂度
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数组与链表
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栈与队列
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哈希表
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树
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堆
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图
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排序
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分治
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回溯
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动态规划
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贪心
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动画图解、一键运行的数据结构与算法教程
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开始阅读
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代码仓库
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< / a >
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< div style = "text-align: center; margin-top: min(2.5vh, 3.5vw);" >
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< / section >
< section class = "home-div" data-md-color-scheme = "slate" >
< div class = "section-content" >
< img alt = "Preview" src = "index.assets/hello_algo_header.png" style = "width: 100%; max-width: 39em;" / >
< div class = "code-badge" >
< img alt = "" src = "https://img.shields.io/badge/Python-snow?logo=python&logoColor=3776AB" / >
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< img alt = "" src = "https://img.shields.io/badge/Go-snow?logo=go&logoColor=00ADD8" / >
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< img alt = "" src = "https://img.shields.io/badge/Rust-snow?logo=rust&logoColor=000000" / >
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< p style = "margin-top: 2em;" >
500 幅动画图解、12 种编程语言代码、3000 条社区问答,助你快速入门数据结构与算法
< / p >
< / div >
< / section >
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< div class = "section-content" >
< div class = "reading-media" >
< div class = "media-block" >
< a href = "chapter_paperbook/" >
< div style = "height: 8.17%;" >
< / div >
< img alt = "Cover" class = "device-on-hover" src = "assets/hero/cover_render.png" style = "height: 66.83%;" / >
< div class = "text-button" >
< span >
获取纸质书
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< / svg >
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< div class = "media-block" >
< a href = "chapter_hello_algo/" >
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在线阅读
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< div class = "media-block" >
< a href = "https://github.com/krahets/hello-algo/releases" >
< img alt = "" class = "device-on-hover" src = "assets/hero/pdf_ipad.png" style = "height: 75%;" / >
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< span >
下载 PDF
< / span >
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< section class = "home-div" data-md-color-primary = "grey" data-md-color-scheme = "slate" >
< div class = "section-content" >
< h3 style = "text-align: center; margin: 1em auto;" >
推荐语
< / h3 >
< div class = "intro-container" style = "margin: 0 auto;" >
< div class = "intro-text endor-text" >
< p style = "margin-bottom: 0;" >
“一本通俗易懂的数据结构与算法入门书,引导读者手脑并用地学习,强烈推荐算法初学者阅读。”
< / p >
< p style = "font-weight: bold;" >
—— 邓俊辉,清华大学计算机系教授
< / p >
< / div >
< div class = "intro-text endor-text" >
< p style = "margin-bottom: 0;" >
“如果我当年学数据结构与算法的时候有《Hello 算法》,学起来应该会简单 10 倍!”
< / p >
< p style = "font-weight: bold;" >
—— 李沐,亚马逊资深首席科学家
< / p >
< / div >
< / div >
< / div >
< / section >
< section class = "home-div" data-md-color-primary = "white" data-md-color-scheme = "default" >
< div class = "section-content" >
< div class = "intro-container" >
< div class = "intro-text" >
< div >
< div style = "display: flex; align-items: center;" >
< svg height = "1.5em" viewbox = "0 0 640 512" width = "1.5em" xmlns = "http://www.w3.org/2000/svg" >
< path d = "M256 0H576c35.3 0 64 28.7 64 64V288c0 35.3-28.7 64-64 64H256c-35.3 0-64-28.7-64-64V64c0-35.3 28.7-64 64-64zM476 106.7C471.5 100 464 96 456 96s-15.5 4-20 10.7l-56 84L362.7 169c-4.6-5.7-11.5-9-18.7-9s-14.2 3.3-18.7 9l-64 80c-5.8 7.2-6.9 17.1-2.9 25.4s12.4 13.6 21.6 13.6h80 48H552c8.9 0 17-4.9 21.2-12.7s3.7-17.3-1.2-24.6l-96-144zM336 96a32 32 0 1 0 -64 0 32 32 0 1 0 64 0zM64 128h96V384v32c0 17.7 14.3 32 32 32H320c17.7 0 32-14.3 32-32V384H512v64c0 35.3-28.7 64-64 64H64c-35.3 0-64-28.7-64-64V192c0-35.3 28.7-64 64-64zm8 64c-8.8 0-16 7.2-16 16v16c0 8.8 7.2 16 16 16H88c8.8 0 16-7.2 16-16V208c0-8.8-7.2-16-16-16H72zm0 104c-8.8 0-16 7.2-16 16v16c0 8.8 7.2 16 16 16H88c8.8 0 16-7.2 16-16V312c0-8.8-7.2-16-16-16H72zm0 104c-8.8 0-16 7.2-16 16v16c0 8.8 7.2 16 16 16H88c8.8 0 16-7.2 16-16V416c0-8.8-7.2-16-16-16H72zm336 16v16c0 8.8 7.2 16 16 16h16c8.8 0 16-7.2 16-16V416c0-8.8-7.2-16-16-16H424c-8.8 0-16 7.2-16 16z" fill = "var(--md-primary-bg-color)" >
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< h3 style = "margin-left: 0.5em;" >
动画图解
< / h3 >
< / div >
< p style = "margin: 0;" >
内容清晰易懂,学习曲线平滑
< / p >
< p class = "intro-quote" >
"A picture is worth a thousand words."
< br / >
“一图胜千言”
< / p >
< / div >
< / div >
< img alt = "Animation example" class = "intro-image" src = "index.assets/animation.gif" / >
< / div >
< div class = "intro-container" >
< img alt = "Running code example" class = "intro-image" src = "index.assets/running_code.gif" / >
< div class = "intro-text" >
< div >
< div style = "display: flex; align-items: center;" >
< svg height = "1.5em" viewbox = "0 0 640 512" width = "1.5em" xmlns = "http://www.w3.org/2000/svg" >
< path d = "M392.8 1.2c-17-4.9-34.7 5-39.6 22l-128 448c-4.9 17 5 34.7 22 39.6s34.7-5 39.6-22l128-448c4.9-17-5-34.7-22-39.6zm80.6 120.1c-12.5 12.5-12.5 32.8 0 45.3L562.7 256l-89.4 89.4c-12.5 12.5-12.5 32.8 0 45.3s32.8 12.5 45.3 0l112-112c12.5-12.5 12.5-32.8 0-45.3l-112-112c-12.5-12.5-32.8-12.5-45.3 0zm-306.7 0c-12.5-12.5-32.8-12.5-45.3 0l-112 112c-12.5 12.5-12.5 32.8 0 45.3l112 112c12.5 12.5 32.8 12.5 45.3 0s12.5-32.8 0-45.3L77.3 256l89.4-89.4c12.5-12.5 12.5-32.8 0-45.3z" fill = "var(--md-primary-bg-color)" >
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< / svg >
< h3 style = "margin-left: 0.5em;" >
一键运行
< / h3 >
< / div >
< p style = "margin: 0;" >
十余种编程语言,代码可视化运行
< / p >
< p class = "intro-quote" >
"Talk is cheap. Show me the code."
< br / >
“少吹牛,看代码”
< / p >
< / div >
< / div >
< / div >
< div class = "intro-container" >
< div class = "intro-text" >
< div >
< div style = "display: flex; align-items: center;" >
< svg height = "1.5em" viewbox = "0 0 640 512" width = "1.5em" xmlns = "http://www.w3.org/2000/svg" >
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< / svg >
< h3 style = "margin-left: 0.5em;" >
互助学习
< / h3 >
< / div >
< p style = "margin: 0;" >
欢迎讨论与提问,读者间携手共进
< / p >
< p class = "intro-quote" >
"Learning by teaching."
< br / >
“教学相长”
< / p >
< / div >
< / div >
< img alt = "Comments example" class = "intro-image" src = "index.assets/comment.gif" / >
< / div >
< / div >
< / section >
< section class = "home-div" data-md-color-primary = "grey" data-md-color-scheme = "slate" >
< div class = "section-content" style = "max-width: 90vw;" >
< div style = "margin: 2em auto;" >
< h3 >
作者
< / h3 >
< div class = "profile-div" >
< div class = "profile-cell" >
< a href = "https://github.com/krahets" >
< img alt = "Author: yudongjin" class = "profile-img" src = "assets/avatar/avatar_yudongjin.jpg" / >
< br / >
< b >
靳宇栋(@krahets)
< / b >
< / a >
< / div >
< / div >
< / div >
< div style = "margin: 2em auto;" >
< h3 >
代码审阅者
< / h3 >
< div class = "profile-div" >
< div class = "profile-cell" >
< a href = "https://github.com/codingonion" >
< img alt = "Reviewer: codingonion" class = "profile-img" src = "assets/avatar/avatar_codingonion.jpg" / >
< br / >
< b >
codingonion
< / b >
< br / >
< sub >
Zig, Rust
< / sub >
< / a >
< / div >
< div class = "profile-cell" >
< a href = "https://github.com/Gonglja" >
< img alt = "Reviewer: Gonglja" class = "profile-img" src = "assets/avatar/avatar_Gonglja.jpg" / >
< br / >
< b >
Gonglja
< / b >
< br / >
< sub >
C, C++
< / sub >
< / a >
< / div >
< div class = "profile-cell" >
< a href = "https://github.com/gvenusleo" >
< img alt = "Reviewer: gvenusleo" class = "profile-img" src = "assets/avatar/avatar_gvenusleo.jpg" / >
< br / >
< b >
gvenusleo
< / b >
< br / >
< sub >
Dart
< / sub >
< / a >
< / div >
< div class = "profile-cell" >
< a href = "https://github.com/hpstory" >
< img alt = "Reviewer: hpstory" class = "profile-img" src = "assets/avatar/avatar_hpstory.jpg" / >
< br / >
< b >
hpstory
< / b >
< br / >
< sub >
C#
< / sub >
< / a >
< / div >
< div class = "profile-cell" >
< a href = "https://github.com/justin-tse" >
< img alt = "Reviewer: justin-tse" class = "profile-img" src = "assets/avatar/avatar_justin-tse.jpg" / >
< br / >
< b >
justin-tse
< / b >
< br / >
< sub >
JS, TS
< / sub >
< / a >
< / div >
< div class = "profile-cell" >
< a href = "https://github.com/krahets" >
< img alt = "Reviewer: krahets" class = "profile-img" src = "assets/avatar/avatar_krahets.jpg" / >
< br / >
< b >
krahets
< / b >
< br / >
< sub >
Python, Java
< / sub >
< / a >
< / div >
< div class = "profile-cell" >
< a href = "https://github.com/night-cruise" >
< img alt = "Reviewer: night-cruise" class = "profile-img" src = "assets/avatar/avatar_night-cruise.jpg" / >
< br / >
< b >
night-cruise
< / b >
< br / >
< sub >
Rust
< / sub >
< / a >
< / div >
< div class = "profile-cell" >
< a href = "https://github.com/nuomi1" >
< img alt = "Reviewer: nuomi1" class = "profile-img" src = "assets/avatar/avatar_nuomi1.jpg" / >
< 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 >
贡献者
< / h3 >
< p >
本书在开源社区 140 多位贡献者的共同努力下不断完善,感谢他们付出的时间与精力!
< / p >
< a href = "https://github.com/krahets/hello-algo/graphs/contributors" >
< img alt = "Contributors" src = "https://contrib.rocks/image?repo=krahets/hello-algo&max=300&columns=16" style = "width: 100%; max-width: 38.5em;" / >
< / a >
< / div >
< / div >
< / section >
< main class = "md-main" data-md-component = "main" style = "height: 0;" >
< div class = "md-main__inner md-grid" >
< div class = "md-sidebar md-sidebar--primary" data-md-component = "sidebar" data-md-type = "navigation" hidden = "" >
< div class = "md-sidebar__scrollwrap" >
< div class = "md-sidebar__inner" >
< nav aria-label = "导航栏" class = "md-nav md-nav--primary" data-md-level = "0" >
< label class = "md-nav__title" for = "__drawer" >
< a aria-label = "Hello 算法" class = "md-nav__button md-logo" data-md-component = "logo" href = "." title = "Hello 算法" >
< img alt = "logo" src = "assets/images/logo.svg" / >
< / a >
Hello 算法
< / label >
< div class = "md-nav__source" >
< a class = "md-source" data-md-component = "source" href = "https://github.com/krahets/hello-algo" title = "前往仓库" >
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krahets/hello-algo
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< path d = "m13.13 22.19-1.63-3.83c1.57-.58 3.04-1.36 4.4-2.27l-2.77 6.1M5.64 12.5l-3.83-1.63 6.1-2.77C7 9.46 6.22 10.93 5.64 12.5M19.22 4c.28 0 .53 0 .74.05.17 1.39-.02 4.25-3.3 7.53-1.7 1.71-3.73 3.02-6.01 3.89l-2.15-2.1c.92-2.31 2.23-4.34 3.92-6.03C15.18 4.58 17.64 4 19.22 4m0-2c-1.98 0-4.98.69-8.22 3.93-2.19 2.19-3.5 4.6-4.35 6.71-.28.75-.09 1.57.46 2.13l2.13 2.12c.38.38.89.61 1.42.61.23 0 .47-.06.7-.15A19.1 19.1 0 0 0 18.07 13c5.66-5.66 3.54-10.61 3.54-10.61S20.7 2 19.22 2m-4.68 7.46c-.78-.78-.78-2.05 0-2.83s2.05-.78 2.83 0c.77.78.78 2.05 0 2.83-.78.78-2.05.78-2.83 0m-5.66 7.07-1.41-1.41 1.41 1.41M6.24 22l3.64-3.64c-.34-.09-.67-.24-.97-.45L4.83 22h1.41M2 22h1.41l4.77-4.76-1.42-1.41L2 20.59V22m0-2.83 4.09-4.08c-.21-.3-.36-.62-.45-.97L2 17.76v1.41Z" >
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序
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序
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第 0 章 前言
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第 0 章 前言
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0.1 关于本书
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0.2 如何使用本书
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0.3 小结
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第 1 章 初识算法
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第 1 章 初识算法
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1.1 算法无处不在
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1.2 算法是什么
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1.3 小结
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第 2 章 复杂度分析
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第 2 章 复杂度分析
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2.1 算法效率评估
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2.2 迭代与递归
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2.3 时间复杂度
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2.4 空间复杂度
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2.5 小结
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< a class = "md-nav__link" href = "chapter_data_structure/" >
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第 3 章 数据结构
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第 3 章 数据结构
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3.1 数据结构分类
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3.2 基本数据类型
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3.3 数字编码 *
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3.4 字符编码 *
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3.5 小结
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< a class = "md-nav__link" href = "chapter_array_and_linkedlist/" >
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第 4 章 数组与链表
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第 4 章 数组与链表
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4.1 数组
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4.2 链表
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4.3 列表
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4.4 内存与缓存 *
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4.5 小结
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< a class = "md-nav__link" href = "chapter_stack_and_queue/" >
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第 5 章 栈与队列
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第 5 章 栈与队列
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5.1 栈
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5.2 队列
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5.3 双向队列
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5.4 小结
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第 6 章 哈希表
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第 6 章 哈希表
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6.1 哈希表
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6.2 哈希冲突
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6.3 哈希算法
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6.4 小结
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< a class = "md-nav__link" href = "chapter_tree/" >
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第 7 章 树
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< nav aria-expanded = "false" aria-labelledby = "__nav_9_label" class = "md-nav" data-md-level = "1" >
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第 7 章 树
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7.1 二叉树
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7.2 二叉树遍历
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7.3 二叉树数组表示
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7.4 二叉搜索树
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< a class = "md-nav__link" href = "chapter_tree/avl_tree/" >
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7.5 AVL 树 *
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7.6 小结
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< div class = "md-nav__link md-nav__container" >
< a class = "md-nav__link" href = "chapter_heap/" >
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第 8 章 堆
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< nav aria-expanded = "false" aria-labelledby = "__nav_10_label" class = "md-nav" data-md-level = "1" >
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第 8 章 堆
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8.1 堆
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< li class = "md-nav__item" >
< a class = "md-nav__link" href = "chapter_heap/build_heap/" >
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8.2 建堆操作
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< a class = "md-nav__link" href = "chapter_heap/top_k/" >
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8.3 Top-k 问题
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8.4 小结
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< input class = "md-nav__toggle md-toggle" id = "__nav_11" type = "checkbox" / >
< div class = "md-nav__link md-nav__container" >
< a class = "md-nav__link" href = "chapter_graph/" >
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第 9 章 图
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< / div >
< nav aria-expanded = "false" aria-labelledby = "__nav_11_label" class = "md-nav" data-md-level = "1" >
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< / span >
第 9 章 图
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9.1 图
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< li class = "md-nav__item" >
< a class = "md-nav__link" href = "chapter_graph/graph_operations/" >
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9.2 图基础操作
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< li class = "md-nav__item" >
< a class = "md-nav__link" href = "chapter_graph/graph_traversal/" >
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9.3 图的遍历
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9.4 小结
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< div class = "md-nav__link md-nav__container" >
< a class = "md-nav__link" href = "chapter_searching/" >
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第 10 章 搜索
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< nav aria-expanded = "false" aria-labelledby = "__nav_12_label" class = "md-nav" data-md-level = "1" >
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< / span >
第 10 章 搜索
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10.1 二分查找
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< a class = "md-nav__link" href = "chapter_searching/binary_search_insertion/" >
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10.2 二分查找插入点
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< a class = "md-nav__link" href = "chapter_searching/binary_search_edge/" >
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10.3 二分查找边界
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< a class = "md-nav__link" href = "chapter_searching/replace_linear_by_hashing/" >
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10.4 哈希优化策略
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< a class = "md-nav__link" href = "chapter_searching/searching_algorithm_revisited/" >
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10.5 重识搜索算法
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10.6 小结
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< div class = "md-nav__link md-nav__container" >
< a class = "md-nav__link" href = "chapter_sorting/" >
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< path d = "M19 17h3l-4 4-4-4h3V3h2M2 17h10v2H2M6 5v2H2V5m0 6h7v2H2v-2Z" >
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< span class = "md-ellipsis" >
第 11 章 排序
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< nav aria-expanded = "false" aria-labelledby = "__nav_13_label" class = "md-nav" data-md-level = "1" >
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< / span >
第 11 章 排序
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11.1 排序算法
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< li class = "md-nav__item" >
< a class = "md-nav__link" href = "chapter_sorting/selection_sort/" >
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11.2 选择排序
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< li class = "md-nav__item" >
< a class = "md-nav__link" href = "chapter_sorting/bubble_sort/" >
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11.3 冒泡排序
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11.4 插入排序
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< a class = "md-nav__link" href = "chapter_sorting/quick_sort/" >
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11.5 快速排序
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< a class = "md-nav__link" href = "chapter_sorting/merge_sort/" >
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11.6 归并排序
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< a class = "md-nav__link" href = "chapter_sorting/heap_sort/" >
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11.7 堆排序
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< a class = "md-nav__link" href = "chapter_sorting/bucket_sort/" >
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11.8 桶排序
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< a class = "md-nav__link" href = "chapter_sorting/counting_sort/" >
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11.9 计数排序
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11.10 基数排序
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11.11 小结
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< div class = "md-nav__link md-nav__container" >
< a class = "md-nav__link" href = "chapter_divide_and_conquer/" >
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第 12 章 分治
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< nav aria-expanded = "false" aria-labelledby = "__nav_14_label" class = "md-nav" data-md-level = "1" >
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第 12 章 分治
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12.1 分治算法
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< a class = "md-nav__link" href = "chapter_divide_and_conquer/binary_search_recur/" >
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12.2 分治搜索策略
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< a class = "md-nav__link" href = "chapter_divide_and_conquer/build_binary_tree_problem/" >
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12.3 构建树问题
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< a class = "md-nav__link" href = "chapter_divide_and_conquer/hanota_problem/" >
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12.4 汉诺塔问题
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12.5 小结
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第 13 章 回溯
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第 13 章 回溯
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13.1 回溯算法
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13.2 全排列问题
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13.3 子集和问题
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13.4 N 皇后问题
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13.5 小结
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第 14 章 动态规划
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第 14 章 动态规划
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14.1 初探动态规划
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14.2 DP 问题特性
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14.3 DP 解题思路
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14.4 0-1 背包问题
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14.5 完全背包问题
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14.6 编辑距离问题
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14.7 小结
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第 15 章 贪心
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第 15 章 贪心
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15.1 贪心算法
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15.2 分数背包问题
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15.3 最大容量问题
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15.4 最大切分乘积问题
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15.5 小结
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第 16 章 附录
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第 16 章 附录
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16.1 编程环境安装
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16.2 一起参与创作
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16.3 术语表
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参考文献
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