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  2. Wikipedia:Random - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Random

    WP:RAN. On Wikipedia and other sites running on MediaWiki, Special:Randomcan be used to access a random article in the main namespace; this feature is useful as a tool to generate a random article. Depending on your browser, it's also possible to load a random page using a keyboard shortcut(in Firefox, Edge, and Chrome Alt-Shift+X).

  3. Where Does the Good Times Go - Wikipedia

    en.wikipedia.org/wiki/Where_Does_the_Good_Times_Go

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Help; Learn to edit; Community portal; Recent changes; Upload file

  4. Lavarand - Wikipedia

    en.wikipedia.org/wiki/Lavarand

    Lavarand. Lavarand, also known as the Wall of Entropy, was a hardware random number generator designed by Silicon Graphics that worked by taking pictures of the patterns made by the floating material in lava lamps, extracting random data from the pictures, and using the result to seed a pseudorandom number generator. [1]

  5. List of random number generators - Wikipedia

    en.wikipedia.org/wiki/List_of_random_number...

    However, generally they are considerably slower (typically by a factor 2–10) than fast, non-cryptographic random number generators. These include: Stream ciphers. Popular choices are Salsa20 or ChaCha (often with the number of rounds reduced to 8 for speed), ISAAC, HC-128 and RC4. Block ciphers in counter mode.

  6. List of free and open-source software packages - Wikipedia

    en.wikipedia.org/wiki/List_of_free_and_open...

    Moodle – Free and open-source learning management system. OLAT – Web-based Learning Content Management System. Omeka – Content management system for online digital collections. openSIS – Web-based Student Information and School Management system. Sakai Project – Web-based learning management system.

  7. Shannon's source coding theorem - Wikipedia

    en.wikipedia.org/wiki/Shannon's_source_coding...

    In information theory, the source coding theorem (Shannon 1948) [2] informally states that (MacKay 2003, pg. 81, [3] Cover 2006, Chapter 5 [4]): N i.i.d. random variables each with entropy H(X) can be compressed into more than N H(X) bits with negligible risk of information loss, as N → ∞; but conversely, if they are compressed into fewer than N H(X) bits it is virtually certain that ...

  8. Comparison of documentation generators - Wikipedia

    en.wikipedia.org/wiki/Comparison_of...

    full semantic analysis of source code, including parameter types, conditional compilation directives, macro expansions Javadoc: JSDoc: Yes JsDoc Toolkit: Yes mkd: Customisable for all type of comments 'as-is' in comments all general documentation; references, manual, organigrams, ... Including the binary codes included in the comments. all ...

  9. Gilbert–Varshamov bound for linear codes - Wikipedia

    en.wikipedia.org/wiki/Gilbert–Varshamov_bound...

    The Gilbert–Varshamov bound for linear codes asserts the existence of q -ary linear codes for any relative minimum distance less than the given bound that simultaneously have high rate. The existence proof uses the probabilistic method, and thus is not constructive. The Gilbert–Varshamov bound is the best known in terms of relative distance ...