Results 211 to 220 of about 2,028,751 (264)
Some of the next articles are maybe not open access.
[Intel random number generator-based true random number generator].
Di 1 jun yi da xue xue bao = Academic journal of the first medical college of PLA, 2007To establish a true random number generator on the basis of certain Intel chips.The random numbers were acquired by programming using Microsoft Visual C++ 6.0 via register reading from the random number generator (RNG) unit of an Intel 815 chipset-based computer with Intel Security Driver (ISD).We tested the generator with 500 random numbers in NIST ...
Feng, Huang, Hong, Shen
openaire +2 more sources
Random Number Generation [PDF]
, 2011 The fields of probability and statistics are built over the abstract concepts of probability space and random variable. This has given rise to elegant and powerful mathematical theory, but exact implementation of these concepts on conventional computers seems impossible.
openaire +2 more sources
Uniform Random Number Generators
Journal of the ACM, 1965Abstract : This paper discusses the testing of methods for generating uniform numbers in a computer--the commonly used multiplicative and mixed congruential generators as well as two methods. Tests proposed here are more stringent than those usually applied, because the usual tests for randomness have passed several of the commonly used pprocedures ...
MacLaren, M. D., Marsaglia, G.
openaire +1 more source
Pseudo Random Number Generators
2013In a first step the definition of randomness and the mathematical definition of random numbers and sequences are addressed. We move on to describe the properties of an ideal random number generator and concentrate then on pseudo random number generators which are the basic tool in the application of stochastic methods in Computational Physics ...
Benjamin A. Stickler, Ewald Schachinger
openaire +1 more source
Computers and Biomedical Research, 1968
Abstract A commonly used uniform random-number generator is examined in light of a genetic-simulation problem. Although this generator is often useful, it proves defective in this case. The author suggests that any proposed generator be checked for the properties needed by the simulation problem at hand.
openaire +2 more sources
Abstract A commonly used uniform random-number generator is examined in light of a genetic-simulation problem. Although this generator is often useful, it proves defective in this case. The author suggests that any proposed generator be checked for the properties needed by the simulation problem at hand.
openaire +2 more sources
Quantum random number generator vs. random number generator
2016 International Conference on Communications (COMM), 2016A random number generator produces a periodic sequence of numbers on a computer. The starting point can be random, but after it is chosen, everything else is deterministic. A random number generator produces a periodic sequence of numbers on a computer. The starting point can be random, but after it is chosen, everything else is deterministic.
openaire +1 more source
2021
To perform a Monte Carlo approximation, we have to generate random variables (rv.) on a computer according to a given df. F. In this chapter, we will discuss some commonly used procedures and their application under R. Since most of the widely used distributions are implemented in R, random variables according to these distributions can easily be ...
Gerhard Dikta, Marsel Scheer
openaire +1 more source
To perform a Monte Carlo approximation, we have to generate random variables (rv.) on a computer according to a given df. F. In this chapter, we will discuss some commonly used procedures and their application under R. Since most of the widely used distributions are implemented in R, random variables according to these distributions can easily be ...
Gerhard Dikta, Marsel Scheer
openaire +1 more source
Preprints of papers presented at the 14th national meeting of the Association for Computing Machinery on - ACM '59, 1959
One requirement common to all Monte Carlo computer simulations is an abundant and automatic supply of random numbers. For most purposes it generally suffices to draw this supply from the uniform distribution in the unit interval. The mathematical tricks used to convert these samplings to samplings from other distributions are well-known.
openaire +1 more source
One requirement common to all Monte Carlo computer simulations is an abundant and automatic supply of random numbers. For most purposes it generally suffices to draw this supply from the uniform distribution in the unit interval. The mathematical tricks used to convert these samplings to samplings from other distributions are well-known.
openaire +1 more source
2023
The purpose of the chapter is to introduce basic concepts of random sequence generation that can be used in the simulation modeling of random flows. In the first part, features of random number generators (RNGs) are presented, distinguishing the two directions of realization – true RNGs and pseudo-RNGs.
openaire +1 more source
The purpose of the chapter is to introduce basic concepts of random sequence generation that can be used in the simulation modeling of random flows. In the first part, features of random number generators (RNGs) are presented, distinguishing the two directions of realization – true RNGs and pseudo-RNGs.
openaire +1 more source
International Journal of Modern Physics C, 1991
In large-scale Monte Carlo simulations, reliable random numbers will soon be needed at bit rates of 1 GHz or more. Therefore, existing recipes for the generation of random numbers have to be improved. This is not easy, due to the many unrelated and laborious statistical tests needed to compensate for the lack of an accepted and operational definition ...
openaire +1 more source
In large-scale Monte Carlo simulations, reliable random numbers will soon be needed at bit rates of 1 GHz or more. Therefore, existing recipes for the generation of random numbers have to be improved. This is not easy, due to the many unrelated and laborious statistical tests needed to compensate for the lack of an accepted and operational definition ...
openaire +1 more source