Pseudorandom number generators are widely used in the area of simulation. Defective generators are still widely used in standard library programs, although better pseudorandom number generators such as the Mersenne Twister are freely available. This manuscript gives a brief explanation

Link to publication Citation for published version (APA): Kleijnen, J. P. C., & Adams, N. (1989). Pseudorandom number generation on supercomputers. (Research

Modern pseudorandom number generators rely on modular arithmetic to generate sequences with good statistical properties. Software packages parallelize these generators using clever parameterization of the generating functions. Unfortunately, these techniques have subtle pitfalls when employed

Pseudorandom number generators, stream ciphers,

The most common pseudorandom number generator or PRNG, the linear congruential generator or LCG, belongs to a whole class of rational congruential generators. These generators work by multiplicative congruential method for integers, which implements a ”grow-and-cut procedure”. We extend

Abstract. In the cryptographic system a pseudorandom number generator is one of the basic primitives. We survey theoretically secure pseudorandom bit generators which are provably secure under certain reasonable number theoretic assumptions and some practical pseudorandom number generators based

Uniform random numbers, multiple streams, common random numbers, linear congruential We review the basic principles underlying the design of uniform random number generators, their main quality requirements, their theoretical analysis, and their empirical testing. The main con-struction techniques

engaged in analysis and development of elec-tromechanical, hydraulic, and inertial systems. Since 1957, he has been on the faculty of elec-trical engineering at the Unviersity of Washing-ton teaching automatic control, mechanics, cir-cuits, and systems. His research and consulting experience lie in the application of control theory to engineering problems; he has pub-lished several papers in this field and also is the author of an intro-

Abstract not found

The Linux pseudorandom number generator (PRNG) is a PRNG with entropy inputs which is widely used in many security related applications and protocols. This PRNG is written as an open source code which is subject to regular changes. It was last analyzed in the work of Gutterman et al. in 2006 [GPR06