There is currently no description created for this category.This category is only for sites discussing the compression algorithms themselves. Companies offering compression software or hardware should be submitted to the appropriate subcategory of Computers/Software/Data_Compression or Computers/Hardware.

Personal pages of compression researchers should be submitted to Computers/Algorithms/Compression/Researchers.

Sites about or belonging to a compression-related research group or relating to a compression conference should be submitted to Computers/Algorithms/Compression/Research_Groups or Computers/Algorithms/Compression/Conferences.

Computational Algebra refers to the use of computers to
perform mathematical operations in either a symbolic or
numeric fashion. This includes (but is not limited to)
such objects of interest as:
* arbitrary precision integers
* polynomials
* finite fields
* groups
* vectors
* matrices
* graphs
* codes
* curves
* integrals
* differential equations
* limits
and many more. This section aims to provide references to
subjects of relevance to the field of computational algebra,
including lists of available software and descriptions of
important algorithms in the field.

Conferences and similar meetings for study and research into Algorithms.

Researchers in algorithms and related areas.

Appropriate topics include descriptions of algorithms for pseudorandom numbers, overviews of the relevant ideas, and services for "truly random" numbers.Algorithms for generating numbers according to a particular probability distribution. For example, the two most common problems are generating integers uniformly between 1 and n, and generating real numbers uniformly between 0 and 1. Other common distributions include Gaussian and Poisson. Because most random-number-generation algorithms have no influence from the outside environment, they are inherently

"Anyone who considers arithmetical methods of producing random digits is, of course, in a state of sin." - John von Neumann (1951)A classic reference on this topic, and a good starting point, is Donald Knuth's

"Random number generators should not be chosen at random." - Donald Knuth (1986)Another good reference, for nonuniform random number generation in particular, is Luc Devroye's

Please do not submit pages that simply announce or advertise a book. Sites that add value in the form of errata, updates, downloadable text, or supplementary material such as software, are welcome.Publications in the field of Computer Algorithms: books, journals, preprints, bibliographies, web-based texts, lecture notes, etc.

Specialist research groups in Algorithms.

Copyright © 1998-2016 AOL Inc.
Terms of Use

Last update: Friday, March 6, 2015 3:06:13 PM EST - edit