18.04.2013 Views

The.Algorithm.Design.Manual.Springer-Verlag.1998

The.Algorithm.Design.Manual.Springer-Verlag.1998

The.Algorithm.Design.Manual.Springer-Verlag.1998

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Online Bibliographies<br />

Online Bibliographies<br />

<strong>The</strong>re are many bibliographic sources available on the WWW, but the following I find indispensable:<br />

● Computer Science Bibliographies -- This is a collection of over 700,000 references to papers and<br />

technical reports in Computer Science, beneath a sophisticated search engine. While there is much<br />

duplication, this is my first stop whenever I need to look something up. <strong>The</strong> primary site is<br />

http://liinwww.ira.uka.de/bibliography/index.html , although several mirror sites are in operation<br />

around the world. All references are provided in bibtex format.<br />

● Joel Seiferas' paper.lst -- References to over 55,000 papers and technical reports (at last count),<br />

mostly on algorithms and related areas of theoretical computer science. Each paper is reduced to a<br />

one-line format, which I find easy to grep through. It is available by anonymous ftp from<br />

ftp://ftp.cs.rochester.edu/pub/u/joel , but a local copy is also available. Strongly recommended.<br />

● Geom.bib -- <strong>The</strong> complete bibliography on anything related to computational geometry, it<br />

references over 8,000 books, papers, and reports and includes detailed abstracts for many of them.<br />

It is available via anonymous ftp from ftp://ftp.cs.usask.ca/pub/geometry/geombib.tar.Z and a<br />

local copy is included. Grep-ing through geom.bib is an amazingly efficient way to find out about<br />

previous work without leaving your office.<br />

● Compendium of Approximation <strong>Algorithm</strong>s -- This compendium of approximation algorithms by<br />

Pierluigi Crescenzi and Viggo Kann of NP-hard optimization problems is available at<br />

http://www.nada.kth.se/nada/theory/problemlist.html, but a local copy is included. It is the place<br />

to look to find what is known about provably good heuristics for any given problem.<br />

About the Book<br />

Send us Mail<br />

Go to Main Page<br />

file:///E|/WEBSITE/BIBLIO/BIBLIO.HTM [19/1/2003 1:33:58]

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!