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The Mersenne Twister is a general-purpose pseudorandom number generator (PRNG) developed in 1997 by Makoto Matsumoto (松本 眞) and Takuji Nishimura (西村 拓士). [ 1][ 2] Its name derives from the choice of a Mersenne prime as its period length. The Mersenne Twister was designed specifically to rectify most of the flaws found in older PRNGs.
Widely used in many programs, e.g. it is used in Excel 2003 and later versions for the Excel function RAND [8] and it was the default generator in the language Python up to version 2.2. [9] Rule 30: 1983 S. Wolfram [10] Based on cellular automata. Inversive congruential generator (ICG) 1986 J. Eichenauer and J. Lehn [11] Blum Blum Shub: 1986
Cryptographically Secure Random number on Windows without using CryptoAPI; Conjectured Security of the ANSI-NIST Elliptic Curve RNG, Daniel R. L. Brown, IACR ePrint 2006/117. A Security Analysis of the NIST SP 800-90 Elliptic Curve Random Number Generator, Daniel R. L. Brown and Kristian Gjosteen, IACR ePrint 2007/048. To appear in CRYPTO 2007.
Smarty-based templates (1.x), Twig-based templates (2+) class inheritance diagrams cross reference to generated documentation, and to php.net function reference Yes pydoc: RDoc: ROBODoc: Sphinx: 10 themes; Jinja2 templating; Python plugins several in sphinx-contrib, e.g. using aafigure, actdiag, Google Chart, or gnuplot
Microsoft Excel A simple bar graph being created in Excel, running on Windows 11 Developer(s) Microsoft Initial release November 19, 1987 ; 36 years ago (1987-11-19) Stable release 2312 (Build 17126.20132) / January 9, 2024 ; 7 months ago (2024-01-09) Written in C++ (back-end) Operating system Microsoft Windows Type Spreadsheet License Trialware Website microsoft.com microsoft-365 /excel ...
Dice are an example of a mechanical hardware random number generator. When a cubical die is rolled, a random number from 1 to 6 is obtained. Random number generation is a process by which, often by means of a random number generator (RNG), a sequence of numbers or symbols that cannot be reasonably predicted better than by random chance is generated.
The Lehmer random number generator[ 1 ] (named after D. H. Lehmer ), sometimes also referred to as the Park–Miller random number generator (after Stephen K. Park and Keith W. Miller), is a type of linear congruential generator (LCG) that operates in multiplicative group of integers modulo n. The general formula is.
SPEC Innovations [10] Cross-platform (Java) 2013 2021-5-17 (v4.4.1) [11] No Commercial. Free education edition, subscription model Java MagicDraw: No Magic, a Dassault Systèmes company Windows, Windows Server, Linux, Mac OS X (Java SE 11-compatible) [12] 1998 2022-07-01 (2022x) [13] No Commercial Java Microsoft Visio: Microsoft: Windows 1992 ...