cpp_random_test


cpp_random_test, C++ programs which illustrate the use of the C++ random number generator routines.

Licensing:

The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.

Languages:

CPP_RANDOM is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version.

Related Data and Programs:

ASA183, a C++ library which implements a pseudorandom number generator, by Wichman and Hill. This is a C++ version of Applied Statistics Algorithm 183.

NORMAL, a C++ library which computes elements of a sequence of pseudorandom normally distributed values.

RAND48, a C++ program which demonstrates the use of the rand48 family of random number generators available in the C/C++ standard library.

RANDLC, a C++ library which generates a sequence of pseudorandom numbers, used by the NAS Benchmark programs.

RNGLIB, a C++ library which implements a random number generator (RNG) with splitting facilities, allowing multiple independent streams to be computed, by L'Ecuyer and Cote.

UNIFORM, a C++ library which computes elements of a uniform pseudorandom sequence.

VAN_DER_CORPUT, a C++ library which computes elements of a 1D van der Corput Quasi Monte Carlo (QMC) sequence using a simple interface.

Reference:

  1. Paul Deitel, Harvey Deitel,
    C++: How to Program,
    Seventh Edition,
    Prentice Hall, 2011,
    ISBN: 978-013-216541-9,
    LC: QA76.73.C153.D45.
  2. Steve Oaulline,
    Practical C++ Programming,
    Second Edition,
    O'Reilly, 2003,
    ISBN: 1-56592-139-9,
    LC: QA76.73.C15.O84.
  3. Bjarne Stroustrup,
    The C++ Programming Language,
    Addison-Wesley, 2000,
    ISBN: 0-201-70073-5,
    LC: QA76.73.C153.S77.

Examples and Tests:

DRAND48_TEST shows how to use the standard library routines SRAND48 to set the seed and DRAND48 to return random real numbers in [0,1].

RAND_TEST shows how to use the standard library routines SRAND to set the seed and RAND to return random integers which can be scaled to real numbers in [0,1].

RANDOM_TEST shows how to use the standard library routines SRANDOM to set the seed and RANDOM to return random integers which can be scaled to real numbers in [0,1].


Last revised on 20 February 2020.