Algorithms, Etc.

Lecture notes for various algorithms classes at the University of Illinois at Urbana-Champaign.

**Tag(s):**
Algorithms and Data Structures

**Publication date**: 31 Jan 2015

**ISBN-10**:
n/a

**ISBN-13**:
n/a

**Paperback**:
n/a

**Views**: 23,766

**Type**: N/A

**Publisher**:
n/a

**License**:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International

**Post time**: 12 May 2007 08:53:17

Algorithms, Etc.

Lecture notes for various algorithms classes at the University of Illinois at Urbana-Champaign.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

Click**here** to read the full license.

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

Click

From the Cover:

Jeff Erickson wrote:These are lecture notes that I wrote for various algorithms classes at the University of Illinois at Urbana-Champaign, which I have taught on average once a year since January 1999. The most recent revision of these notes (or nearly so) is available online at http: //www.cs.illinois.edu/~jeffe/teaching/algorithms/, along with a near-complete archive of all my past homeworks and exams. Whenever I teach an algorithms class, I revise, update, and sometimes cull these notes as the course progresses, so you may find more recent versions on the web page of whatever course I am currently teaching.

With few exceptions, each of these "lecture notes" contains far too much material to cover in a single lecture. In a typical 75-minute class period, I cover about 4 or 5 pages of material—a bit more if I’m teaching graduate students than undergraduates. Moreover, I can only cover at most two-thirds of these notes in any capacity in a single 15-week semester. Your mileage may vary! (Arguably, that means that as I continue to add material, the label "lecture notes" becomes less and less accurate.) I teach algorithms at multiple leaves; different courses cover different but overlapping subsets of this material. The ordering of the notes is mostly consistent with my lower-level classes, with more advanced material (indicated by * stars) inserted near the more basic material it builds on. The actual material doesn’t permit a strict linear ordering, but I’ve tried to keep forward references to a minimum

Tweet

About The Author(s)

Jeff Erickson is a Professor and Associate Department Head in the Department of Computer Science at University of Illinois at Urbana-Champaign. His research focuses on computational topology, with an emphasis on algorithmic questions involving graphs embedded on surfaces.

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors