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Random.org generates random numbers based on atmospheric noise and offers free and paid services to simulate events such as flipping coins, shuffling cards, and rolling dice. It also provides tools to create lists of random numbers in a specified range and subject to a specified probability distribution.
A comprehensive list of software licensed under free software and open-source licenses, organized by categories such as artificial intelligence, cybersecurity, and web development. Find examples of software free to be modified and distributed, and learn about the philosophical background of open-source movement.
For these applications, truly random numbers are ideal, and very high quality pseudo-random numbers are necessary if truly random numbers, such as coming from a hardware random number generator, are unavailable. Truly random numbers are absolutely required to be assured of the theoretical security provided by the one-time pad — the only ...
Learn how code generation converts intermediate representation of source code into machine code that can be executed by the target system. Explore the major tasks, techniques and examples of code generation in compiler design.
A pseudorandom number generator (PRNG) is an algorithm that produces a sequence of numbers that resemble random numbers, but are completely determined by an initial value. Learn about the properties, applications, and potential issues of PRNGs, as well as the difference between PRNGs and cryptographically secure PRNGs (CSPRNGs).
A CSPRNG is a PRNG with properties that make it suitable for use in cryptography. It can stretch the available entropy over more bits and resist state compromise attacks. Learn about its background, definitions and designs based on cryptographic primitives or mathematical problems.
Wikipedia:Random is a feature that lets you browse a random article in the main namespace of Wikipedia or other MediaWiki sites. You can also use keyboard shortcuts, links to other namespaces, or tools to customize your random page experience.
The ACORN or ″Additive Congruential Random Number″ generators are a robust family of pseudorandom number generators (PRNGs) for sequences of uniformly distributed pseudo-random numbers, introduced in 1989 and still valid in 2019, thirty years later.
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