Google random number generator algorithm

Since the random numbers are programmatically generated, if someone were able to identify the seed value and the PRNG algorithm you were using, theyвЂ™d be able to predict the next random number in the sequence. These algorithms are not without their own limitations. These are simply a category of algorithms that programmatically generate new random numbers from a given starting value called the seed.

Instead, programmers rely on pseudorandom number generators (PRNGs). However, computers are inherently incapable of being random. ThatвЂ™s why having computers generate something by chance is trickier than it may seem.Д¬omputers use random numbers for everything from cryptography to gambling, generative algorithms, video games, and more. If you provide the same input, youвЂ™ll always get the same output. All roll-your-own crypto RNGs will be incredibly weak (to a very close approximation).Anyone with any programming experience understands that computers are deterministic machines. In fact even the best experts struggle to make good crypto - the best crypto has been around for years and many experts have tried many times to break it and failed. (*) You, personally, cannot do this ) - you have to use an existing trusted design. This is a good way to provide a seed for a crypto PRNG. Or you can generate truly random numbers using a physical source of randomness. Most simple PRNGs fail totally at this (and thus should never be used to generate cryptographic keys!!) A strong crypto RNG has the property that given any amount of its output you cannot (without peeking at the seed or hidden state) compute any of the other output (before or after the given sample) in practice. This will also pass all the statistical tests of course. You(*) can make a cryptographically secure pseudo random generator that - assuming it has a truly random seed value - generates unpredictable output (unpredictable in practice). You can make a pseudo-random generator (PRNG) that will pass lots of statistical 'tests' for randomness - but it may cryptographically weak as water. perhaps nothing is truly random since God (or a theoretical all-knowing being or an all-powerful machine) could always predict the next number. If you are a philosopher, perhaps it is a paradox. (I probably would so something with the 'random' time between handle-pulls.)

:D And, I wouldn't have to use any of those fancy quantum-physics or true-noise 'tricks'. I think I could program a slot machine that's random-enough that you would run-out of quarters before you could ever figure-out the 'pattern'. It's an engineering challenge to make something random enough, or unpredictable enough for the intended application. M_w = 18000L * (m_w & 65535L) + (m_w > 16) ДЇrom an engineering/programming point of view, I wouldn't say it's a paradox.

It isД¬omputationally fast and has good (albeit not cryptographically Multiply-with-carry method invented by George Marsaglia. This is a pretty famous (and fast) algorithm: /*ДЄn example of a simple pseudo-random number generator is the google вЂњrandom number generation site:вЂќ for cite-able papers

I am working on a research paper on how a logical computer can create a random number

Google random number generator algorithm