International audienceWe provide a review of the state of the art on the design and implementation of random number generators (RNGs) for simulation, on both sequential and parallel computing environments. We focus on the need for multiple streams and substreams of random numbers, explain how they can be constructed and managed, review software libraries that offer them, and illustrate their usefulness via examples. We also review the basic quality criteria for good random number generators and their theoretical and empirical testing
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
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...
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...
Random number generators are used in many applications, from slot machines to simulations of nuclear...
International audienceThere is an increasing interest in the distribution of parallel random number ...
Fast and reliable pseudo-random number generators are required for simulation and other applications...
Multiple independent streams of random numbers are often required in simulation studies, for instanc...
International audienceWe examine the requirements and the available methods and software to provide ...
International audienceWe examine the requirements and the available methods and software to provide ...
We briefly overview the design principles, implementation techniques, and empirical testing of unifo...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
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...
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...
Random number generators are used in many applications, from slot machines to simulations of nuclear...
International audienceThere is an increasing interest in the distribution of parallel random number ...
Fast and reliable pseudo-random number generators are required for simulation and other applications...
Multiple independent streams of random numbers are often required in simulation studies, for instanc...
International audienceWe examine the requirements and the available methods and software to provide ...
International audienceWe examine the requirements and the available methods and software to provide ...
We briefly overview the design principles, implementation techniques, and empirical testing of unifo...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...