Random Number Generators Principles And Practices
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Author | : David Johnston |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 524 |
Release | : 2018 |
Genre | : Computers |
ISBN | : 1501506269 |
Download Random Number Generators--Principles and Practices Book in PDF, Epub and Kindle
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.
Author | : David Johnston |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 439 |
Release | : 2018-09-10 |
Genre | : Computers |
ISBN | : 1501506064 |
Download Random Number Generators—Principles and Practices Book in PDF, Epub and Kindle
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.
Author | : James E. Gentle |
Publisher | : Springer Science & Business Media |
Total Pages | : 252 |
Release | : 2013-03-14 |
Genre | : Computers |
ISBN | : 147572960X |
Download Random Number Generation and Monte Carlo Methods Book in PDF, Epub and Kindle
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.
Author | : Çetin Kaya Koç |
Publisher | : Springer |
Total Pages | : 440 |
Release | : 2015-03-25 |
Genre | : Computers |
ISBN | : 331910683X |
Download Open Problems in Mathematics and Computational Science Book in PDF, Epub and Kindle
This book presents interesting, important unsolved problems in the mathematical and computational sciences. The contributing authors are leading researchers in their fields and they explain outstanding challenges in their domains, first by offering basic definitions, explaining the context, and summarizing related algorithms, theorems, and proofs, and then by suggesting creative solutions. The authors feel a strong motivation to excite deep research and discussion in the mathematical and computational sciences community, and the book will be of value to postgraduate students and researchers in the areas of theoretical computer science, discrete mathematics, engineering, and cryptology.
Author | : Nirmala Khandan |
Publisher | : CRC Press |
Total Pages | : 322 |
Release | : 2001-12-20 |
Genre | : Mathematics |
ISBN | : 1420003399 |
Download Modeling Tools for Environmental Engineers and Scientists Book in PDF, Epub and Kindle
Modeling Tools for Environmental Engineers and Scientists enables environmental professionals, faculty, and students with minimal computer programming skills to develop computer-based mathematical models for natural and engineered environmental systems. The author illustrates how commercially available syntax-free authoring software can be adapted
Author | : William James Dally |
Publisher | : Morgan Kaufmann |
Total Pages | : 582 |
Release | : 2004 |
Genre | : Computers |
ISBN | : 0122007514 |
Download Principles and Practices of Interconnection Networks Book in PDF, Epub and Kindle
This book offers a detailed and comprehensive presentation of the basic principles of interconnection network design clearly illustrating them with numerous examples and case studies. It incorporates hardware-level descriptions of concepts.
Author | : O E Percus |
Publisher | : Legare Street Press |
Total Pages | : 0 |
Release | : 2023-07-18 |
Genre | : |
ISBN | : 9781021436870 |
Download Random Number Generators for Ultracomputers Book in PDF, Epub and Kindle
This is a comprehensive guide to the theory and practice of generating random numbers for ultracomputers. The authors cover all aspects of random number generation, from basic algorithms to advanced techniques for improving randomness and reducing correlation. This book is essential reading for anyone working with ultracomputers or interested in the theory of random number generation. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author | : Jules J. Berman |
Publisher | : Newnes |
Total Pages | : 288 |
Release | : 2013-05-20 |
Genre | : Computers |
ISBN | : 0124047246 |
Download Principles of Big Data Book in PDF, Epub and Kindle
Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. Learn general methods for specifying Big Data in a way that is understandable to humans and to computers Avoid the pitfalls in Big Data design and analysis Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources
Author | : Shu Tezuka |
Publisher | : Springer Science & Business Media |
Total Pages | : 218 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461523176 |
Download Uniform Random Numbers Book in PDF, Epub and Kindle
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.
Author | : Neal Ford |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 226 |
Release | : 2008-07-03 |
Genre | : Computers |
ISBN | : 059655186X |
Download The Productive Programmer Book in PDF, Epub and Kindle
Anyone who develops software for a living needs a proven way to produce it better, faster, and cheaper. The Productive Programmer offers critical timesaving and productivity tools that you can adopt right away, no matter what platform you use. Master developer Neal Ford not only offers advice on the mechanics of productivity-how to work smarter, spurn interruptions, get the most out your computer, and avoid repetition-he also details valuable practices that will help you elude common traps, improve your code, and become more valuable to your team. You'll learn to: Write the test before you write the code Manage the lifecycle of your objects fastidiously Build only what you need now, not what you might need later Apply ancient philosophies to software development Question authority, rather than blindly adhere to standards Make hard things easier and impossible things possible through meta-programming Be sure all code within a method is at the same level of abstraction Pick the right editor and assemble the best tools for the job This isn't theory, but the fruits of Ford's real-world experience as an Application Architect at the global IT consultancy ThoughtWorks. Whether you're a beginner or a pro with years of experience, you'll improve your work and your career with the simple and straightforward principles in The Productive Programmer.