random number generation

Random number generation may also be done by humans directly.

Strong random number generation is important throughout every phase of public key cryptography.

"I can do a random number generation to simulate a coin toss," Mary said.

There are other types of random number generation method, and the most common way is exponential distribution.

Two dimensional cellular automata are used for random number generation.

In Win32 programs, Microsoft recommends its use anywhere random number generation is needed.

However, more recent versions have relied on browser-native secure random number generation.

This is used in random number generation using the inverse transform sampling-method.

Some quantum phenomena used for random number generation include:

More complex operations such as circular shift (swap being a special case), and certain classes of random number generation also belong here.

Because the outcome of quantum-mechanical events cannot in principle be predicted, they are the 'gold standard' for random number generation.

The random number generation functions in most programming language libraries are not suitable for cryptographic use.

Random number generation varies by operating system.

Since random number generation is not possible through completely computational means, a pseudorandom process is usually chosen.

There are proposals for adding strong random number generation to PHP.

While noise is generally unwanted, it can serve a useful purpose in some applications, such as random number generation or dithering.

Generating random numbers: see Random number generation.

The enemy crafts' artificial intelligence, however, relies on a random number generation program to make enemy movement less predictable.

Other hardware-boosted features include additional random number generation and SHA algorithms.

Devroye specializes in the probabilistic analysis of algorithms, random number generation and enjoys typography.

It allowed two teams to play one another using random number generation and player statistics to determine a game's outcome, including a play by play description.

Online poker sites use Random number generation (RNGs) when dealing cards.

Note that the random number generation is secure as long as any one player is generating valid random numbers.

Finally, it is to be noted that even with perfect random number generation, flaws can be introduced into an implementation by improper usage of the generator.

Random number generation (including Mersenne Twister MT19937).