International audienceRandom number generators were invented before there were symbols for writing numbers, and long before mechanical and electronic computers. All major civilizations through the ages found the urge to make random selections, for various reasons. Today, random number generators, particularly on computers, are an important (although often hidden) ingredient in human activity. In this article, we give a historical account on the design, implementation, and testing of uniform random number generators used for simulation
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 audienceRandom number generators (RNGs) are computational or physical functions genera...
International audienceRandom number generators were invented before there were symbols for writing n...
We briefly overview the design principles, implementation techniques, and empirical testing of unifo...
Use of empirical studies based on computer-generated random numbers has become a common practice in ...
Modern approaches to simulation, involving Monte Carlo methods and randomized procedures of decision...
To simulate chance occurrences, a computer can't literally toss a coin or roll a die. Instead, ...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
Random numbers are a basic part in a Simulation Model, and they are also used in random sampling. T...
AbstractThe paper contains a translation of the Russian note [1] together with several remarks on mo...
This chapter covers the basic design principles and methods for uniform random number generators use...
Many computer simulations use random number generators and since most computer languages have a buil...
The current state of the art in computer random number generation uses a method developed over thirt...
Winner, ScienceGood random number generators (RNGs) are required for many applications in science an...
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 audienceRandom number generators (RNGs) are computational or physical functions genera...
International audienceRandom number generators were invented before there were symbols for writing n...
We briefly overview the design principles, implementation techniques, and empirical testing of unifo...
Use of empirical studies based on computer-generated random numbers has become a common practice in ...
Modern approaches to simulation, involving Monte Carlo methods and randomized procedures of decision...
To simulate chance occurrences, a computer can't literally toss a coin or roll a die. Instead, ...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
Random numbers are a basic part in a Simulation Model, and they are also used in random sampling. T...
AbstractThe paper contains a translation of the Russian note [1] together with several remarks on mo...
This chapter covers the basic design principles and methods for uniform random number generators use...
Many computer simulations use random number generators and since most computer languages have a buil...
The current state of the art in computer random number generation uses a method developed over thirt...
Winner, ScienceGood random number generators (RNGs) are required for many applications in science an...
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 audienceRandom number generators (RNGs) are computational or physical functions genera...