Algorithms in the Real World: Lecture Notes

This document looks both at algorithms and at case studies in which the problems are used in real-world applications.

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

**Publication date**: 01 Apr 1998

**ISBN-10**:
n/a

**ISBN-13**:
n/a

**Paperback**:
n/a

**Views**: 37,107

**Type**: N/A

**Publisher**:
n/a

**License**:
n/a

**Post time**: 19 Sep 2006 09:56:12

Algorithms in the Real World: Lecture Notes

This document looks both at algorithms and at case studies in which the problems are used in real-world applications.

Document Excerpts:

This document contains the lecture notes taken by the students in the course Algorithms in the Real World taught at UC Berkeley during the Fall semester, 1997. The class covered the following set of ten topics: Compression, Cryptography, Linear Programming, Integer Programming, Triangulation, N-body simulation, VLSI Physical Design, Pattern Matching in Biology, Indexing, and Clustering. Between 2 and 3 lectures were dedicated to each topic. For all topics this document looked both at algorithms and at case studies in which the problems are used in real-world applications.

The class was a graduate class and assumed that the students came in with a working knowledge of the material covered in a standard algorithms textbook, such as Cormen, Leiserson and Rivest's Introduction to Algorithms. A goal of the class was to have the students gain an appreciation of how interesting algorithms and data-structures are used in many real-world applications.

The notes contained in this document are based on what was covered in the lectures and are not meant to be complete, and although the scribe takers corrected many of the mistakes in the lectures, many others got through. Unfortunately the notes contain very few references to the original work on which they rely. Instead, included at the end of the document is a list of primary texts on the topics from which one can find further information.

This document contains the lecture notes taken by the students in the course Algorithms in the Real World taught at UC Berkeley during the Fall semester, 1997. The class covered the following set of ten topics: Compression, Cryptography, Linear Programming, Integer Programming, Triangulation, N-body simulation, VLSI Physical Design, Pattern Matching in Biology, Indexing, and Clustering. Between 2 and 3 lectures were dedicated to each topic. For all topics this document looked both at algorithms and at case studies in which the problems are used in real-world applications.

The class was a graduate class and assumed that the students came in with a working knowledge of the material covered in a standard algorithms textbook, such as Cormen, Leiserson and Rivest's Introduction to Algorithms. A goal of the class was to have the students gain an appreciation of how interesting algorithms and data-structures are used in many real-world applications.

The notes contained in this document are based on what was covered in the lectures and are not meant to be complete, and although the scribe takers corrected many of the mistakes in the lectures, many others got through. Unfortunately the notes contain very few references to the original work on which they rely. Instead, included at the end of the document is a list of primary texts on the topics from which one can find further information.

Tweet

About The Author(s)

No information is available for this author.

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
Rexx
Microsoft .NET
Perl
PHP
R
Python
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors