Directory: Top/Computers/Algorithms

Stony Brook Algorithm Repository
This is a collection of implementations for 75 fundamental algorithms problems, including data structures, numerical and combinatorial algorithms,graph algorithms, and computational geometry. Implementations are available in C++, Java, Fortran, and other
http://www.cs.sunysb.edu/~algorith/
Sunysb.edu ~ Site Info Whois Trace Route RBL Check

Combinatorial Algorithms
Course material, syllabus and notes for a course by Roger Whitney at SDSU.
http://www.eli.sdsu.edu/courses/fall95/cs660/
Sdsu.edu ~ Site Info Whois Trace Route RBL Check

CATS: Combinatorial Algorithms Test Sets
Searchable index of problems, links and methodology.
http://www.jea.acm.org/CATS/
Acm.org ~ Site Info Whois Trace Route RBL Check

Algorithms Courses
Links to courses in algorithms maintained at various university computer science departments.
http://www.cs.pitt.edu/~kirk/algorithmcourses/
Pitt.edu ~ Site Info Whois Trace Route RBL Check

On the Road to Algorithms
Information on algorithms such as Bubble Sort and Random Number Generation, using HTML, Java and Perl. Collected by Lam Ka Chun (Raymond).
http://www.hlcmklam.com/
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Web Data Structures and Algorithms
Lecture notes and links for a course by Godfried Toussaint.
http://cgm.cs.mcgill.ca/~godfried/teaching/algorithms-web.html
Mcgill.ca ~ Site Info Whois Trace Route RBL Check

Abstract State Machines
A formal method for specifying and verifying algorithms. Tools, meetings, researchers in the area.
http://www.eecs.umich.edu/gasm/
Umich.edu ~ Site Info Whois Trace Route RBL Check

Algorithm Design Paradigms
A course by Paul Dunne at the University of Liverpool. Slides and notes in HTML and PS.
http://www.csc.liv.ac.uk/~ped/teachadmin/algor/algor.html
Liv.ac.uk ~ Site Info Whois Trace Route RBL Check

Data Structures
Lecture notes by Steven Skiena.
http://www.cs.sunysb.edu/~skiena/214/lectures/
Sunysb.edu ~ Site Info Whois Trace Route RBL Check

Dictionary of Algorithms, Data Structures, and Problems
A dictionary of algorithms, algorithmic techniques, data structures, and archetypical problems, with related definitions. Many entries have links to implementations, tutorials, and bibliographical references.
http://www.nist.gov/dads/
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