Computers, Algorithms, Pseudorandom Numbers

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• - Source code for various random number generators in C and Fortran, including the well-known RANLIB library supporting many continuous and discrete probability distributions.
  
• - Links to downloadable papers, related journals, and links to software.
  
• - A small, simple open-source shareware program by Scott Donato Saccenti [Win95].
  
• - Generators for random number samples, random selection and random check number audits. Windows software for on-line purchase.
  
• - Fast RNG for the Linux kernel. A sourceforge project.
  
• - Documentation of algorithms in the GNU Scientific Library Reference Manual.
  
• - Windows application to generate several random numbers in a given range, subject to constraints like excluding certain digits.
  
• - Information and articles on random number generation.
  
• - Project to develop a battery of statistical tests to detect nonrandomness in binary sequences, to produce documentation and a software implementation of these tests, and to provide guidance in the use of these tests.
  
• - A pseudorandom number sequence test program. Free download of C++ source code and MS-DOS executable.
  
• - Presents and evaluates this generator, intended for use as a key generator for a one-time pad cipher.
  
• - Links to related conferences, papers, software, webpages, people.
  
• - An etext by the Computational Science Education Project.
  
• - A small test to see how well humans can generate random numbers compared to computer predictions.
  
• - Algorithms for good random number generators with theoretical discussion and software examples.
  
• - A REDUCE package based on a port of the Maple random polynomial generator together with some support facilities for the generation of random numbers and anonymous procedures. By Francis J. Wright.
  
• - A pseudorandom number generator package for Java. Source code free under BSD licence.
  
• - Universal Non-Uniform RANdom number generators: a GPL library of C functions to generate nonuniform random numbers, by Josef Leydold and Wolfgang Hoermann of the University of Economics, Vienna.
  
• - A guide to the literature.
  
• - A server on the theory and practice of random number generation.
  
• - Random number generators and pointers to software at the National HPCC Software Exchange for generating and testing pseudo-random numbers on high-performance computers.
  
• - Fast generator of fixed high period implemented in various languages. Includes a paper about the mathematical foundations.