Libros sobre el tema "Quantum Random Number Generators"

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.

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

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

M, Kelsey John y 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.

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

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

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

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

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

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

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

L, Rukhin Andrew y 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 y 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 y 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 y 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.

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

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

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

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

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

Ciric, Aleksandar. A Guide to Monte Carlo and Quantum Monte Carlo methods : Quantum Monte Carlo: Variational and Diffusion; MC in general; Markov Chain; Statistics; Random number generators; Hidden Monte Carlo. Createspace Independent Publishing Platform, 2016.

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

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

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

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

Scarani, Valerio. Bell Nonlocality. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198788416.001.0001.

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

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

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

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

Uniform Random Numbers. Springer My Copy UK, 1995.

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

Johnston, David. Random Number Generators--Principles and Practices: A Guide for Engineers and Programmers. De Gruyter, Inc., 2018.

Johnston, David. Random Number Generators-Principles and Practices: A Guide for Engineers and Programmers. De|G Press, 2018.

Johnston, David. Random Number Generators-Principles and Practice: A Guide for Engineers and Programmers. De Gruyter, Inc., 2018.

Moeschlin, Otto, Claudia Pohl, Frank Steinert y Eugen Grycko. Experimental Stochastics. 2^a ed. Springer, 2003.

Experimental Stochastics. Springer-Verlag Telos, 1997.

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

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

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

Tlelo-Cuautle, Esteban, José de Jesús Rangel-Magdaleno y Luis Gerardo de la Fraga. Engineering Applications of FPGAs: Chaotic Systems, Artificial Neural Networks, Random Number Generators, and Secure Communication Systems. Springer London, Limited, 2016.

Tlelo-Cuautle, Esteban, José de Jesús Rangel-Magdaleno y Luis Gerardo de la Fraga. Engineering Applications of FPGAs: Chaotic Systems, Artificial Neural Networks, Random Number Generators, and Secure Communication Systems. Springer, 2018.

Tlelo-Cuautle, Esteban, José de Jesús Rangel-Magdaleno y Luis Gerardo de la Fraga. Engineering Applications of FPGAs: Chaotic Systems, Artificial Neural Networks, Random Number Generators, and Secure Communication Systems. Springer, 2016.

Bohigas, Oriol y Hans Weidenmuller. History – an overview. Editado por Gernot Akemann, Jinho Baik y Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.2.

Marks II, Robert J. Handbook of Fourier Analysis & Its Applications. Oxford University Press, 2009. http://dx.doi.org/10.1093/oso/9780195335927.001.0001.