Book Of Random Digits
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A Million Random Digits With 100 000 Normal Deviates
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Author :
language : en
Publisher: Minnesota Historical Society
Release Date : 2001
A Million Random Digits With 100 000 Normal Deviates written by and has been published by Minnesota Historical Society this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
Not long after research began at RAND in 1946, the need arose for random numbers that could be used to solve problems of various kinds of experimental probability procedures. These applications, called Monte Carlo methods, required a large supply of random digits and normal deviates of high quality, and the tables presented here were produced to meet those requirements.This book was a product of RAND's pioneering work in computing, as well a testament to the patience and persistence of researchers in the early days of RAND. The tables of random numbers in this book have become a standard reference in engineering and econometrics textbooks and have been widely used in gaming and simulations that employ Monte Carlo trials. Still the largest published source of random digits and normal deviates, the work is routinely used by statisticians, physicists, polltakers, market analysts, lottery administrators, and quality control engineers. A 2001 article in the New York Times on the value of randomness featured the original edition of the book, published in 1955 by the Free Press. The rights have since reverted to RAND, and in this digital age, we thought it appropriate to reissue a new edition of the book in its original format, with a new foreword by Michael D. Rich, RAND's Executive Vice President
A Million Random Digits With 100 000 Normal Deviates
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Author : Rand Corporation
language : en
Publisher:
Release Date : 1955
A Million Random Digits With 100 000 Normal Deviates written by Rand Corporation and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1955 with Numbers, Random categories.
This classic table of random numbers for use in statistical probability experiments, one of the first, was prepared in the precomputer days of 1947 using the specially built electronic equivalent of a 32-place roulette wheel. Fourteen RAND mathematicians, engineers, and computing pioneers participated in the planning, testing, and rerandomizing of the tables and in preparing for publication. The two tables, one of a million random digits and one of 100,000 Gaussian deviates, were photoreproduced from IBM 856 Cardatype printout. An introduction explains their derivation and statistical properties and gives directions for use. Although large simulation studies now generate their own random numbers, the RAND tables remain useful for smaller-scale work and hand calculations; they are much used in agricultural research. As of September 1971, [A Million Random Digits] was in its third printing, and nearly 7000 copies had been sold. (Published by The Free Press, 1955. Available only from booksellers or the publisher, or as a RAND Reprint.) 225 pp.
Book Of Random Digits
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Author : Enigma
language : en
Publisher:
Release Date : 2020-05-28
Book Of Random Digits written by Enigma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-28 with categories.
This random number book contains 100 pages with 1000 random digits per page. Each page is divided into 25 numbered rows and 8 columns labelled A to H. In total, it contains 100.000 random digits. The digits were computed using a mix of efficient random generator algorithms to ensure minimum predictability and to be as close as possible to uniform distribution of values. Dimensions: 6 x 9 inches
Random Number Generation And Monte Carlo Methods
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Author : James E. Gentle
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Random Number Generation And Monte Carlo Methods written by James E. Gentle and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.
Monte Carlo simulation has become one of the most important tools in all fields of science. This book surveys the basic techniques and principles of the subject, as well as general techniques useful in more complicated models and in novel settings. The emphasis throughout is on practical methods that work well in current computing environments.
Random Number Generators Principles And Practices
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Author : David Johnston
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2018
Random Number Generators Principles And Practices written by David Johnston and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computers categories.
Random Number Generators, Principles and Practices has been written for programmers, hardware engineers, and sophisticated hobbyists interested in understanding random numbers generators and gaining the tools necessary to work with random number generators with confidence and knowledge. Using an approach that employs clear diagrams and running code examples rather than excessive mathematics, random number related topics such as entropy estimation, entropy extraction, entropy sources, PRNGs, randomness testing, distribution generation, and many others are exposed and demystified. If you have ever Wondered how to test if data is really random Needed to measure the randomness of data in real time as it is generated Wondered how to get randomness into your programs Wondered whether or not a random number generator is trustworthy Wanted to be able to choose between random number generator solutions Needed to turn uniform random data into a different distribution Needed to ensure the random numbers from your computer will work for your cryptographic application Wanted to combine more than one random number generator to increase reliability or security Wanted to get random numbers in a floating point format Needed to verify that a random number generator meets the requirements of a published standard like SP800-90 or AIS 31 Needed to choose between an LCG, PCG or XorShift algorithm Then this might be the book for you.
Uniform Random Numbers
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Author : Shu Tezuka
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Uniform Random Numbers written by Shu Tezuka and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
In earlier forewords to the books in this series on Discrete Event Dynamic Systems (DEDS), we have dwelt on the pervasive nature of DEDS in our human-made world. From manufacturing plants to computer/communication networks, from traffic systems to command-and-control, modern civilization cannot function without the smooth operation of such systems. Yet mathemat ical tools for the analysis and synthesis of DEDS are nascent when compared to the well developed machinery of the continuous variable dynamic systems char acterized by differential equations. The performance evaluation tool of choice for DEDS is discrete event simulation both on account of its generality and its explicit incorporation of randomness. As it is well known to students of simulation, the heart of the random event simulation is the uniform random number generator. Not so well known to the practitioners are the philosophical and mathematical bases of generating "random" number sequence from deterministic algorithms. This editor can still recall his own painful introduction to the issues during the early 80's when he attempted to do the first perturbation analysis (PA) experiments on a per sonal computer which, unbeknownst to him, had a random number generator with a period of only 32,768 numbers. It is no exaggeration to say that the development of PA was derailed for some time due to this ignorance of the fundamentals of random number generation.
Random Numbers And Computers
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Author : Ronald T. Kneusel
language : en
Publisher: Springer
Release Date : 2018-04-05
Random Numbers And Computers written by Ronald T. Kneusel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-05 with Computers categories.
This book covers pseudorandom number generation algorithms, evaluation techniques, and offers practical advice and code examples. Random Numbers and Computers is an essential introduction or refresher on pseudorandom numbers in computer science. The first comprehensive book on the topic, readers are provided with a practical introduction to the techniques of pseudorandom number generation, including how the algorithms work and how to test the output to decide if it is suitable for a particular purpose. Practical applications are demonstrated with hands-on presentation and descriptions that readers can apply directly to their own work. Examples are in C and Python and given with an emphasis on understanding the algorithms to the point of practical application. The examples are meant to be implemented, experimented with and improved/adapted by the reader.
Book Of Numbers
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Author : Joshua Cohen
language : en
Publisher: Random House
Release Date : 2015-06-09
Book Of Numbers written by Joshua Cohen and has been published by Random House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-09 with Fiction categories.
NATIONAL BESTSELLER • “A wheeling meditation on the wired life, on privacy, on what being human in the age of binary code might mean” (The New York Times), from the Pulitzer Prize–winning author of The Netanyahus NAMED ONE OF THE TEN BEST BOOKS OF THE YEAR BY VULTURE AND ONE OF THE BEST BOOKS OF THE YEAR BY NPR AND THE WALL STREET JOURNAL “Shatteringly powerful . . . I cannot think of anything by anyone in [Cohen’s] generation that is so frighteningly relevant and composed with such continuous eloquence. There are moments in it that seem to transcend our impasse.”—Harold Bloom The enigmatic billionaire founder of Tetration, the world’s most powerful tech company, hires a failed novelist, Josh Cohen, to ghostwrite his memoirs. The mogul, known as Principal, brings Josh behind the digital veil, tracing the rise of Tetration, which started in the earliest days of the Internet by revolutionizing the search engine before venturing into smartphones, computers, and the surveillance of American citizens. Principal takes Josh on a mind-bending world tour from Palo Alto to Dubai and beyond, initiating him into the secret pretext of the autobiography project and the life-or-death stakes that surround its publication. Insider tech exposé, leaked memoir-in-progress, international thriller, family drama, sex comedy, and biblical allegory, Book of Numbers renders the full range of modern experience both online and off. Embodying the Internet in its language, it finds the humanity underlying the virtual. Featuring one of the most unforgettable characters in contemporary fiction, Book of Numbers is an epic of the digital age, a triumph of a new generation of writers, and one of those rare books that renew the idea of what a novel can do. Praise for Book of Numbers “The Great American Internet Novel is here. . . . Book of Numbers is a fascinating look at the dark heart of the Web. . . . A page-turner about life under the veil of digital surveillance . . . one of the best novels ever written about the Internet.”—Rolling Stone “A startlingly talented novelist.”—The Wall Street Journal “Remarkable . . . dazzling . . . Cohen’s literary gifts . . . suggest that something is possible, that something still might be done to safeguard whatever it is that makes us human.”—Francine Prose, The New York Review of Books
Computational Statistical Physics
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Author : Lucas Böttcher
language : en
Publisher: Cambridge University Press
Release Date : 2021-08-26
Computational Statistical Physics written by Lucas Böttcher and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-26 with Science categories.
Providing a detailed and pedagogical account of the rapidly-growing field of computational statistical physics, this book covers both the theoretical foundations of equilibrium and non-equilibrium statistical physics, and also modern, computational applications such as percolation, random walks, magnetic systems, machine learning dynamics, and spreading processes on complex networks. A detailed discussion of molecular dynamics simulations is also included, a topic of great importance in biophysics and physical chemistry. The accessible and self-contained approach adopted by the authors makes this book suitable for teaching courses at graduate level, and numerous worked examples and end of chapter problems allow students to test their progress and understanding.
Quantum Random Number Generation
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Author : Christian Kollmitzer
language : en
Publisher: Springer
Release Date : 2020-02-27
Quantum Random Number Generation written by Christian Kollmitzer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-27 with Computers categories.
This book provides an overview of state-of-the-art implementations of quantum random number generators (QRNGs), and especially examines their relation to classical statistical randomness models and numerical techniques for computing random numbers. The reader – who ideally has a background in classical statistics, computer science, or cryptography – is introduced to the world of quantum bits step by step, and explicit relations between QRNGs and their classical counterparts are identified along the way. Random number generation is a major pillar of cryptography. Capitalizing on the randomness inherent in quantum phenomena is a rapidly evolving branch of quantum cryptography with countless applications for the future. The value of quantum randomness for cryptographic purposes is empirically demonstrated in statistical evaluations of QRNGs’ performance compared to classical techniques for true and pseudorandom number generation. The book then provides an overview of technical implementations of QRNGs, before a concluding discussion of major achievements and remaining obstacles in the field rounds out the coverage, while also opening the door for future research directions.