Abstract. Financial applications are one of many fields where a multivariate Gaussian random number generator plays a key role in performing computationally extensive simulations. ...
Numerical simulations in computational physics, biology, and finance, often require the use of high quality and efficient parallel random number generators. We design and optimi...
David A. Bader, Aparna Chandramowlishwaran, Virat ...
There is a large gap between the theory and practice for random number generation. For example, on most operating systems, using /dev/random to generate a 256-bit AES key is highl...
Abstract. We investigate methods for exploiting nondeterminism inherent within the Tile Assembly Model in order to generate uniform random numbers. Namely, given an integer range {...
David Doty, Jack H. Lutz, Matthew J. Patitz, Scott...
Abstract — Error correction codes defined over realnumber and complex-number fields have been studied and recognized as useful in many applications. However, most real-number a...