COS 423 Analysis of Algorithms Lectures, Spring 2001 |
The following table contains links to whatever electronic slides or demos were used in class. Note that not all of this material was actually covered in Spring 2001.
Here is a link to a more recent version of some of these lecture slides that supplement the textbook by Jon Kleinberg and Éva Tardos.
Topic | Slides | In-class Demos | Reading |
Introduction | |||
Stable matching | Gale-Shapley | ||
Greedy algorithms | |||
Greed |
Activity selection
Greed is good |
CLR, Chapter 17 | |
Shortest path | CLR, Chapter 25 | ||
Minimum spanning tree | Red rule, blue rule | CLR, Chapter 24 | |
Divide-and-conquer paradigm | |||
Divide and conquer | Counting inversions |
CLR, Chapter 4, 8 31.2, 35.4 |
|
Linear time selection | CLR 10.3 | ||
Fast Fourier transform | CLR, Chapter 32 | ||
Dynamic programming | |||
Dynamic programming | CLR, Chapter 16 | ||
Negative cycle | CLR, Chapter 26 | ||
Reductions | |||
Linear time reductions | CLR, Chapter 31.5 | ||
Maximum flow |
Augmenting path Breadth-first search |
CLR, Chapter 27.1, 27.2 | |
Reductions to max flow | CLR, Chapter 27.3 | ||
Polynomial time reductions | CLR, Chapter 36 | ||
Intractability and coping with intractability | |||
NP completeness | Longest path song by Daniel Barrett | CLR, Chapter 36 | |
Approximation algorithms |
List scheduling |
CLR, Chapter 37 survey paper (optional) |
|
Linear programming | Scientific American handout | ||
Beyond worst case complexity | |||
Average case analysis | CLR, Chapter 8 | ||
Amortized analysis |
Dynamic table Splay trees |
CLR, Chapter 13-15, 18 Splay handout from Duke |
|
Competitive analysis | Paging | ||
Conclusions | |||
Wrapup | Top 10 algorithms | ||
Acknowledgments | |||
Data Structures | |||
Binary and binomial heaps | ppt pdf | Binomial heap applet | |
Fibonacci heaps | ppt pdf | CLR Chapter 20 |
How to read and print the files |
Acknowledgments |
These lecture notes were heavily influenced by the unpublished manuscript Introduction to Algorithms, written by Jon Kleinberg and Éva Tardos. The lecture notes also adapt material from the following sources.
Errata |
These lecture notes are being used for the first time this semester. If you discover any typos or errors, I would be grateful if you let me know via email.