![]() ![]() Its period size is embarrassingly small, already-produced numbers cannot repeat for the entire period, and it has statistical properties that makes it unsuitable for many purposes. ![]() LCG is a simple but very poor RNG, even for non-cryptographic RNG standards. The following table summarizes the available random number generators (in alphabetical order). The random number generators are based on the random number generators described in Special Utility Matrices. Despite being a very good PRNG, and is widely used for many games, statistical simulations, and other purposes, it's not suitable for cryptography.Īnother common RNG is linear congruential generator (LCG), which for a long time is the default RNG in popular C libraries (and many other languages that uses C library, such as PHP). Octave can generate random numbers from a large number of distributions. Mersenne Twister is a very good PRNG, with good statistical properties, very long period, and is fast. Add-on implementations are provided in many program libraries, including the Boost C++ Libraries, the CUDA Library, and the NAG Numerical Library. It is also available in Apache Commons, in standard C++ (since C++11), and in Mathematica. Microsoft Visual C++, Microsoft Excel, GAUSS, GLib, GNU Multiple Precision Arithmetic Library, GNU Octave, GNU Scientific Library, gretl, IDL, Julia, CMU Common Lisp, Embeddable Common Lisp, Steel Bank Common Lisp, Maple, MATLAB, Free Pascal, PHP, Python, R, Ruby, SageMath, Scilab, Stata. The Mersenne Twister is the default PRNG for the following software systems: ![]() Mersenne Twister is a non-cryptographic RNG that's commonly used in many applications. ![]()
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