Random Number Generators--Principles and Practices

Random Number Generators--Principles and Practices
Author: David Johnston
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 524
Release: 2018
Genre: Computers
ISBN: 1501506269
GET BOOK

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.

Random Number Generators—Principles and Practices

Random Number Generators—Principles and Practices
Author: David Johnston
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 439
Release: 2018-09-10
Genre: Computers
ISBN: 1501506064
GET BOOK

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.

Random Number Generation and Monte Carlo Methods

Random Number Generation and Monte Carlo Methods
Author: James E. Gentle
Publisher: Springer Science & Business Media
Total Pages: 252
Release: 2013-03-14
Genre: Computers
ISBN: 147572960X
GET BOOK

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.

Random Number Generators for Ultracomputers

Random Number Generators for Ultracomputers
Author: O E Percus
Publisher: Legare Street Press
Total Pages: 0
Release: 2023-07-18
Genre:
ISBN: 9781019586341
GET BOOK

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.

Open Problems in Mathematics and Computational Science

Open Problems in Mathematics and Computational Science
Author: Çetin Kaya Koç
Publisher: Springer
Total Pages: 440
Release: 2015-03-25
Genre: Computers
ISBN: 331910683X
GET BOOK

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.

Principles and Practices of Interconnection Networks

Principles and Practices of Interconnection Networks
Author: William James Dally
Publisher: Morgan Kaufmann
Total Pages: 582
Release: 2004
Genre: Computers
ISBN: 0122007514
GET BOOK

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.

Modeling Tools for Environmental Engineers and Scientists

Modeling Tools for Environmental Engineers and Scientists
Author: Nirmala Khandan
Publisher: CRC Press
Total Pages: 322
Release: 2001-12-20
Genre: Mathematics
ISBN: 1420003399
GET BOOK

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

The Productive Programmer

The Productive Programmer
Author: Neal Ford
Publisher: "O'Reilly Media, Inc."
Total Pages: 226
Release: 2008-07-03
Genre: Computers
ISBN: 059655186X
GET BOOK

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.

Principles of Big Data

Principles of Big Data
Author: Jules J. Berman
Publisher: Newnes
Total Pages: 288
Release: 2013-05-20
Genre: Computers
ISBN: 0124047246
GET BOOK

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

Intelligent Engineering Applications and Applied Sciences for Sustainability

Intelligent Engineering Applications and Applied Sciences for Sustainability
Author: Mishra, Brojo Kishore
Publisher: IGI Global
Total Pages: 568
Release: 2023-08-25
Genre: Business & Economics
ISBN:
GET BOOK

Download Intelligent Engineering Applications and Applied Sciences for Sustainability Book in PDF, Epub and Kindle

Engineering plays a major role in solving real-world problems, from small inconveniences to societal or global concerns around food scarcity, water shortages, environmental damage, problems in housing or infrastructure and more. In today's rapidly evolving world, the development of the latest generation of engineering and technology is crucial for maintaining productivity, innovation, and improving our overall quality of life. Intelligent Engineering Applications and Applied Sciences for Sustainability is an essential research book that serves as a compilation of cutting-edge research and advancements in engineering, science, and technology, and more importantly, how the application of these advancements will guide the path to a more sustainable future. This book focuses on intelligent engineering applications, which encompass the design and implementation of embedded technologies in various domains. It covers a wide range of fields and their influence on the Sustainable Development Goals (SDGs), fostering interdisciplinary approaches and innovative solutions, including additive manufacturing technologies, aerospace science and engineering, agricultural advancements, computer science for sustainable development, applied biosciences, applied mathematics, industrial engineering, robotics and automation, transportation, future mobility, and much more. As an academic, rigorous exploration of various disciplines, this book serves as an invaluable resource for researchers, scholars, and professionals seeking to advance the frontiers of intelligent engineering applications and applied sciences for a sustainable future.