Books on the topic 'Random number generator'

Percus, O. E. A note on random number generator of Chung et al. New York: Courant Institute of Mathematical Sciences, New York University, 1986.

M, Kelsey John, and Information Technology Laboratory (National Institute of Standards and Technology). Computer Security Division, eds. Recommendation for random number generation using deterministic random bit generators (revised). Gaithersburg, MD]: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, Computer Security Division, Information Technology Laboratory, 2007.

Alonso, Laurent. Random generation of trees: Random generators in computer science. Boston: Kluwer Academic, 1995.

Lewis, Peter A. W. Graphical analysis of some pseudo-random number generators. Monterey, Calif: Naval Postgraduate School, 1986.

Kollmitzer, Christian, Stefan Schauer, Stefan Rass, and Benjamin Rainer, eds. Quantum Random Number Generation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-72596-3.

Pseudorandomness and cryptographic applications. Princeton, NJ: Princeton University Press, 1996.

Percus, O. E. Random number generators for ultracomputers. New York: Courant Institute of Mathematical Sciences, New York University, 1987.

István, Deák. Random number generators and simulation. Budapest: Akadémiai Kiadó, 1990.

Uniform random numbers: Theory and practice. Boston, Mass: Kluwer Academic Publishers, 1995.

Peter, Hellekalek, and Larcher Gerhard, eds. Random and quasi-random point sets. New York: Springer, 1998.

Arthur, Jeffrey L. Notes on using the random problem generators GENGUB and RANDN̲ET. Corvallis, OR: Dept. of Statistics, Oregon State University, 1993.

István, Deák. Véletlenszám-generátorok és alkalmazásuk. Budapest: Akadémiai Kiadó, 1986.

Gentle, James E. Random Number Generation and Monte Carlo Methods. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2960-3.

Random number generation and Monte Carlo methods. New York: Springer, 1998.

Random number generation and Monte Carlo methods. 2nd ed. New York: Springer-Verlag, 2003.

Nisan, Noam. Using hard problems to create pseudorandom generators. Cambridge, Mass: MIT Press, 1992.

Random number generation and quasi-Monte Carlo methods. Philadelphia, Pa: Society for Industrial and Applied Mathematics, 1992.

Karmakar, Debashis. Random number generators (RNG) and their testing for sequential programmes. Mumbai: Bhabha Atomic Research Centre, 2002.

Niederreiter, Harald. Random numbergeneration and quasi-Monte Carlo methods. Philadelphia, Pa: Society for Industrial and Applied Mathematics, 1992.

L, Rukhin Andrew, and National Institute of Standards and Technology (U.S.), eds. A statistical test suite for random and pseudorandom number generators for cryptographic applications. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2000.

Rukhin, Andrew L. A statistical test suite for random and pseudorandom number generators for cryptographic applications. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 2008.

L, Rukhin Andrew, and National Institute of Standards and Technology (U.S.), eds. A statistical test suite for random and pseudorandom number generators for cryptographic applications. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2000.

L, Rukhin Andrew, and National Institute of Standards and Technology (U.S.), eds. A statistical test suite for random and pseudorandom number generators for cryptographic applications. Gaithersburg, Md: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2000.

L, Rukhin Andrew, and National Institute of Standards and Technology (U.S.), eds. A statistical test suite for random and pseudorandom number generators for cryptographic applications. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2000.

Analytic methods in the analysis and design of number-theoretic algorithms. Cambridge, Mass: MIT Press, 1985.

Aiyappa, Rekha. Section 49. Crypto Engine and Random Number Generator (RNG). Microchip Technology Incorporated, 2015.

Lee, Jade. PIC32 FRM - Section 49. Crypto Engine and Random Number Generator (RNG). Microchip Technology Incorporated, 2015.

Yang, Ada. PIC32 FRM - Section 49. Crypto Engine (CE) and Random Number Generator (RNG). Microchip Technology Incorporated, 2016.

Takenaka, Norio. FRM PIC32 FRM, Section 49. Crypto Engine (CE) and Random Number Generator (RND). Microchip Technology Incorporated, 2014.

Moeschlin, Otto, and Eugen Grycko. Experimental Stochastics in Physics. Springer, 2006.

Glosemeyer, Darren, and Rob Knapp. Random Number Generation. Wolfram Media, Incorporated, 2008.

Moeschlin, Otto, Claudia Pohl, Frank Steinert, and Eugen Grycko. Experimental Stochastics. 2nd ed. Springer, 2003.

Experimental Stochastics. Springer-Verlag Telos, 1997.

Uniform Random Numbers. Springer My Copy UK, 1995.

A Primer On Pseudorandom Generators. American Mathematical Society(RI), 2010.

Tezuka, Shu. Uniform Random Numbers. Springer, 2012.

Schott, René, and Laurent Alonso. Random Generation of Trees: Random Generators in Computer Science. Springer, 1994.

Tezuka, Shu. Uniform Random Numbers: Theory and Practice. Springer London, Limited, 2012.

Hellekalek, P., P. Hickernell, Gerhard Larcher, J. Beck, and Peter Hellekalek. Random and Quasi-Random Point Sets. Springer London, Limited, 2012.

Nisan, Noam. Using Hard Problems to Create Pseudorandom Generators. MIT Press, 2003.

Gentle, James E. Random Number Generation and Monte Carlo Methods (Statistics and Computing). Springer, 2004.

Gentle, James E. Random Number Generation and Monte Carlo Methods. Springer London, Limited, 2013.

Random Number Generation and Monte Carlo Methods. New York: Springer-Verlag, 2003. http://dx.doi.org/10.1007/b97336.

Kollmitzer, Christian, Stefan Schauer, Stefan Rass, and Benjamin Rainer. Quantum Random Number Generation: Theory and Practice. Springer, 2020.

Gentle, James E. Random Number Generation and Monte Carlo Methods. Springer London, Limited, 2006.

Gentle, James E. Random Number Generation and Monte Carlo Methods. Springer New York, 2010.

Niederreiter, Harald. Random Number Generation and Quasi-Monte Carlo Methods (CBMS-NSF Regional Conference Series in Applied Mathematics). Society for Industrial Mathematics, 1987.

Vidales, A. STATISTICS with MATLAB: PROBABILITY DISTRIBUTIONS and RANDOM NUMBER GENERATION. Independently Published, 2019.

Bilan, Stepan. Formation Methods, Models, and Hardware Implementation of Pseudorandom Number Generators: Emerging Research and Opportunities. IGI Global, 2017.

National Aeronautics and Space Administration (NASA) Staff. Comparison of Three Random Number Generators for Aircraft Dynamic Modeling Applications. Independently Published, 2019.