Add to ORKGMany computer simulations use random number generators and since most computer languages have a built-in generator it is very easy just to use that one. However these random number generators can be very non-random
We provide a review of the state of the art on the design and implementation of random number genera...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
Random number generator [RNG] is use to generate random numbers between any given limit, RNG's are t...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
We observe that pseudo-random number generators, familiar to all programmers, are derived from deter...
We briefly overview the design principles, implementation techniques, and empirical testing of unifo...
To simulate chance occurrences, a computer can't literally toss a coin or roll a die. Instead, ...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
AbstractFor any finite sequence of (pseudo)random numbers special simulation problems can be constru...
The world is now behind technology transforming every terminology in daily life, like banking, cash,...
International audienceWe provide a review of the state of the art on the design and implementation o...
International audienceWe provide a review of the state of the art on the design and implementation o...
We provide a review of the state of the art on the design and implementation of random number genera...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
Random number generator [RNG] is use to generate random numbers between any given limit, RNG's are t...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
We observe that pseudo-random number generators, familiar to all programmers, are derived from deter...
We briefly overview the design principles, implementation techniques, and empirical testing of unifo...
To simulate chance occurrences, a computer can't literally toss a coin or roll a die. Instead, ...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
AbstractFor any finite sequence of (pseudo)random numbers special simulation problems can be constru...
The world is now behind technology transforming every terminology in daily life, like banking, cash,...
International audienceWe provide a review of the state of the art on the design and implementation o...
International audienceWe provide a review of the state of the art on the design and implementation o...
We provide a review of the state of the art on the design and implementation of random number genera...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...
In the classical approach to pseudo-random number generators, a generator is considered to perform w...