Random Numbers And Computers
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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.
Numbers And Computers
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Author : Ronald T. Kneusel
language : en
Publisher: Springer
Release Date : 2015-04-14
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 2015-04-14 with Computers categories.
This is a book about numbers and how those numbers are represented in and operated on by computers. It is crucial that developers understand this area because the numerical operations allowed by computers, and the limitations of those operations, especially in the area of floating point math, affect virtually everything people try to do with computers. This book aims to fill this gap by exploring, in sufficient but not overwhelming detail, just what it is that computers do with numbers. Divided into two parts, the first deals with standard representations of integers and floating point numbers, while the second details several other number representations. Each chapter ends with exercises to review the key points. Topics covered include interval arithmetic, fixed-point numbers, floating point numbers, big integers and rational arithmetic. This book is for anyone who develops software including software engineerings, scientists, computer science students, engineering students and anyone who programs for fun.
Random Number Generators Principles And Practices
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Author : David Johnston
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2018-09-10
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 2018-09-10 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.
Openoffice Org Macros Explained
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Author : Andrew Douglas Pitonyak
language : en
Publisher: Hentzenwerke
Release Date : 2004
Openoffice Org Macros Explained written by Andrew Douglas Pitonyak and has been published by Hentzenwerke this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
This book provides an introduction to the creation and management of macros in OpenOffice. Numerous examples and explanations demonstrate proper techniques and discuss known problems and solutions. The underlying data structure is discussed and techniques are introduced to evaluate OpenOffice objects, facilitating the use of returned objects in the absence of sufficient documentation.
Math For Deep Learning
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Author : Ronald T. Kneusel
language : en
Publisher: No Starch Press
Release Date : 2021-12-07
Math For Deep Learning written by Ronald T. Kneusel and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Computers categories.
Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits. With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You’ll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You’ll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network. In addition you’ll find coverage of gradient descent including variations commonly used by the deep learning community: SGD, Adam, RMSprop, and Adagrad/Adadelta.
Random Number Generators For Computer Simulation And Cyber Security
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Author : Lih-Yuan Deng
language : en
Publisher: Springer Nature
Release Date : 2025-03-07
Random Number Generators For Computer Simulation And Cyber Security written by Lih-Yuan Deng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Mathematics categories.
This book discusses the theory and practice of random number generators that are useful for computer simulation and computer security applications. Random numbers are ubiquitous in computation. They are used in randomized algorithms to perform sampling or choose randomly initialized parameters or perform Markov Chain Monte Carlo (MCMC). They are also used in computer security applications for various purposes such as cryptographic nuances or in authenticators. In practice, the random numbers used by any of these applications are from a pseudo-random sequence. These pseudo-random sequences are generated by RNGs (random number generators). This book discusses the theory underlying such RNGs, which are used by all programmers. However, few try to understand the theory behind them. This topic is an active area of research, particularly when the generators are used for cryptographic applications. The authors introduce readers to RNGs, how they are judged for quality, the mathematical and statistical theory behind them, as well as provide details on how these can be implemented in any programming language. The book discusses non-linear transformations that use classical linear generators for cryptographic applications and how to optimize to make such generators more efficient. In addition, the book provides up-to-date research on RNGs including a modern class of efficient RNGs and shows how to search for new RNGs with good quality and how to parallelize these RNGs.
Big Practical Guide To Computer Simulations 2nd Edition
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Author : Alexander K Hartmann
language : en
Publisher: World Scientific Publishing Company
Release Date : 2015-01-29
Big Practical Guide To Computer Simulations 2nd Edition written by Alexander K Hartmann and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-29 with Science categories.
This book teaches you all necessary (problem-independent) tools and techniques needed to implement and perform sophisticated scientific numerical simulations. Thus, it is suited for undergraduate and graduate students who want to become experts in computer simulations in Physics, Chemistry, Biology, Engineering, Computer Science and other fields.
Statistical Computing
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Author : WIlliam J. Kennedy
language : en
Publisher: Routledge
Release Date : 2021-06-23
Statistical Computing written by WIlliam J. Kennedy and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-23 with Mathematics categories.
In this book the authors have assembled the "best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing." ---Mathematics of Computation ." The text is highly readable and well illustrated with examples. The reader who intends to take a hand in designing his own regression and multivariate packages will find a storehouse of information and a valuable resource in the field of statistical computing.
The Guide To Computer Simulations And Games
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Author : K. Becker
language : en
Publisher: John Wiley & Sons
Release Date : 2011-11-30
The Guide To Computer Simulations And Games written by K. Becker and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-30 with Education categories.
The first computer simulation book for anyone designing or building a game Answering the growing demand for a book catered for those who design, develop, or use simulations and games this book teaches you exactly what you need to know in order to understand the simulations you build or use all without having to earn another degree. Organized into three parts, this informative book first defines computer simulations and describes how they are different from live-action and paper-based simulations. The second section builds upon the previous, with coverage of the technical details of simulations, a detailed description of how models are built, and an explanation of how those models are translated into simulations. Finally, the last section develops four examples that walk you through the process from model to finished and functional simulation, all of which are created using freely available software and all of which can be downloaded. Targets anyone interested in learning about the inner workings of a simulation or game, but may not necessarily be a programmer or scientist Offers technical details on what simulations are and how they are built without overwhelming you with intricate jargon Breaks down simulation vs. modeling and traditional vs. computer simulations Examines verification and validation and discusses simulation tools Whether you need to learn how simulations work or it's something you've always been curious about but couldn't find the right resource, look no further. The Guide to Computer Simulations and Games is the ideal book for getting a solid understanding of this fascinating subject.