Introduction to Algorithms 2nd ed. Cambridge, MA: MIT Press, 2001. ISBN: 9780262032933.

Introduction and document distance

L1

Introduction and document distance

CLRS, chapters 1-3

L2

More document distance, mergesort

CLRS, sections 11.1-11.2

Binary search trees

L3

Airplane scheduling, binary search trees

CLRS, chapter 10 and sections 12.1-12.3

L4

Balanced binary search trees

CLRS, sections 13.1 and 13.2 for a different approach (red-black trees)

Hashing

L5

Hashing I: chaining, hash functions

L6

Hashing II:
table doubling, Karp-Rabin

CLRS,
chapter 17 and section 32.2

L7

Hashing
III: open addressing

CLRS,
section 11.4 (and 11.3.3 and 11.5 if interested)

Sorting

L8

Sorting I:
heaps

CLRS,
sections 2.1-2.3 and 6.1-6.2

L9

Sorting II:
heaps

CLRS,
sections 6.1-6.4

L10

Sorting
III: lower bounds, linear-time sorting

CLRS,
sections 8.1-8.4

L11

Sorting IV:
stable sorting, radix sort

Searching

L12

Searching
I: graph search, representations, and applications

CLRS,
sections 22.1-22.3 and B.4

L13

Searching
II: breadth-first search and depth-first search

CLRS,
sections 22.2-22.3

L14

Searching
III: topological sort and NP-completeness

CLRS,
sections 22.4 and 34.1-34.3 (at a high level)

Shortest
paths

L15

Shortest
paths I: intro

CLRS,
chapter 24 (intro)

L16

Shortest
paths II: Bellman-Ford

L17

Shortest
paths III: Dijkstra

CLRS,
sections 24.2-24.3

L18

Shortest
paths IV: Dijkstra speedups

Wagner,
Dorothea, and Thomas Willhalm. "Speed-Up Techniques for Shortest-Path
Computations." In Lecture Notes in Computer Science: Proceedings of
the 24th Annual Symposium on Theoretical Aspects of Computer Science
.
Berlin / Heidelberg: Springer, 2007. ISBN: 9783540709176. Read up to section
3.2.

Dynamic
programming

L19

Dynamic programming
I: memoization, Fibonacci, Crazy Eights, guessing

CLRS,
chapter 15

L20

Dynamic
programming II: longest common subsequence, parent pointers

L21

Dynamic
programming III: text justification, parenthesization, knapsack,
pseudopolynomial time, Tetris training

L22

Dynamic
programming IV: piano fingering, structural DP (trees), vertex cover,
dominating set, and beyond

For fun,
see papers on piano fingering and polyphonic piano fingering via DP:

Parncutt,
Richard, et al. "An Ergonomic Model of Keyboard Fingering for Melodic
Fragments." Music Perception 14, no. 4 (1997): 341-382.

Al Kasimi,
Alia, Eric Nichols, and Christopher Raphael. "A Simple Algorithm for
Automatic Generation of Polyphonic Piano Fingerings." In Proceedings
of the 8th International Conference on Music Information Retrieval
, 2007,
pp. 355-356.

For fun,
watch the Metamorphosis of the Cube video,
which illustrates a folding DP.

Numerics

L23

Numerics I

L24

Numerics II

Beyond
6.006

L25

Beyond
6.006: follow-on classes, geometric folding algorithms

Reading task(Introduction to Algorithms. 2nd)的更多相关文章

  1. [翻译] 提升树算法的介绍(Introduction to Boosted Trees)

    [翻译] 提升树算法的介绍(Introduction to Boosted Trees) 1. 有监督学习的要素 XGBoost 适用于有监督学习问题.在此类问题中,我们使用多特征的训练数据集 \(x ...

  2. 图形上下文导论(Introduction to SWT Graphics)zz

    图形上下文导论(Introduction to SWT Graphics) 摘要: org.eclipse.swt.graphics包(package),包含了管理图形资源的类.只要实现了org.ec ...

  3. 6.006 Introduction to Algorithms

    课程信息 6.006 Introduction to Algorithms

  4. 算法导论(Introduction to Algorithms )— 第十二章 二叉搜索树— 12.1 什么是二叉搜索树

    搜索树数据结构支持很多动态集合操作,如search(查找).minmum(最小元素).maxmum(最大元素).predecessor(前驱).successor(后继).insert(插入).del ...

  5. note of introduction of Algorithms(Lecture 3 - Part1)

    Lecture 3(part 1) Divide and conquer 1. the general paradim of algrithm as bellow: 1. divide the pro ...

  6. hdu 1885 Key Task(bfs+状态压缩)

    Problem Description The Czech Technical University years of its existence . Some of the university b ...

  7. hdu 3572 Task Schedule (dinic算法)

    pid=3572">Task Schedule Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 ...

  8. C#多线程编程のTask(任务全面解析)

    Task是.NET4.0加入的,跟线程池ThreadPool的功能类似,用Task开启新任务时,会从线程池中调用线程,而Thread每次实例化都会创建一个新的线程. 我们可以说Task是一种基于任务的 ...

  9. 课程一(Neural Networks and Deep Learning),第一周(Introduction to Deep Learning)—— 2、10个测验题

    1.What does the analogy “AI is the new electricity” refer to?  (B) A. Through the “smart grid”, AI i ...

随机推荐

  1. Navicat PatchNavicat

    Navicat for MySQL 11.0.10 32+64位(内含破解补丁)\64位 安装完成后,退出Navicat 执行PatchNavicat.exe,提示patch完成后,Navicat即可 ...

  2. CSS透明opacity和IE各版本透明度滤镜filter的准确用法

    滤镜名    说明 Alpha     让HTML元件呈现出透明的渐进效果Blur     让HTML元件产生风吹模糊的效果Chroma     让图像中的某一颜色变成透明色DropShadow    ...

  3. mime.go

    package manager import (     "mime"     "path" ) //初始化数据 func init() {     if mi ...

  4. Bootstrap 小结

    Bootstrap 小结 Bootstrap4特点:1.兼容IE10+ 2.使用flexbox 布局 3.抛弃Nomalize.css 4.提供布局和 reboot 版本 Bootstrap组成:1. ...

  5. 【bzoj 3601】一个人的数论 (莫比乌斯反演+伯努利数)

    题解: (吐槽:网上题解那个不严谨猜测真是没谁了……关键是还猜得辣么准……) 直接化简到求和那一段: $f_{d}(n)=\sum_{t|n}\mu(t)t^{d}\sum_{i=1}^{\frac{ ...

  6. C#进度框

    1.方法一:使用线程 功能描述:在用c#做WinFrom开发的过程中.我们经常需要用到进度条(ProgressBar)用于显示进度信息.这时候我们可能就需要用到多线程,如果不采用多线程控制进度条,窗口 ...

  7. Spring事务管理----事物回滚

    Spring的事务管理默认只对未检查异常(java.lang.RuntimeException及其子类)进行回滚,如果一个方法抛出Checked异常,Spring事务管理默认不进行回滚. 改变默认方式 ...

  8. CISP-PTE注册信息安全专业人员渗透测试工程师知识体系大纲

    CISP-PTE注册信息安全专业人员渗透测试工程师知识体系大纲 都是图.. 不足之处,欢迎补充

  9. H5单张、多张图片上传

    前言 今天我们聊一聊图片上传,单张Or多张 ,如今,各大图片上传插件数不胜数,例如:Jquery的 verupload.js,jQuery File Upload.Uploadify.jQuery.f ...

  10. 入门级 JAVA反射机制

    1.什么是反射? Java中的反射机制是Java语言的一个很重要的特性,是Java “动态性” 的重要体现.Java反射机制让我们在程序运行状态中,对于任意一个类,都能知道这个类的所有属性和方法:对于 ...