A small, fast, mostly true random number generator routine, with both native code and JavaScript implementations
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GetBigTypicallyTrueRandomNumber.css
GetBigTypicallyTrueRandomNumber.html
GetBigTypicallyTrueRandomNumber.js
GetTypicallyTrueRandomNumber.cpp
GetTypicallyTrueRandomNumber.js
GetTypicallyTrueRandomNumberTest.css
GetTypicallyTrueRandomNumberTest.html
GetTypicallyTrueRandomNumberTest.js
LICENSE
README.md

README.md

RandomTreatmentForRandomData

A small, fast, mostly true random number generator routine, with both native code and JavaScript implementations

Unlike typical methods, this random number generator algorithm gives you a different set of numbers every time it’s used in a run without requiring a new “seed” value. The native code version that appears here is much faster than typical C standard library implementations. A JavaScript® version appears here, too.

Random number generators serve many purposes, from data organization to cryptographic security, among a wide range of others. A native code method for true random number generation can be useful for scalable data management. A full stack method can help maximize cryptographic security. Both of these use cases are discussed at...

http://developforperformance.com/RandomTreatmentForRandomData.html

...in the context of the same code downloadable from here at GitHub.