Number Generator
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Random Number Generation and Monte Carlo Methods
Author: James E. Gentle
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-04-18
Monte Carlo simulation has become one of the most important tools in all fields of science. Simulation methodology relies on a good source of numbers that appear to be random. These "pseudorandom" numbers must pass statistical tests just as random samples would. Methods for producing pseudorandom numbers and transforming those numbers to simulate samples from various distributions are among the most important topics in statistical computing. This book surveys techniques of random number generation and the use of random numbers in Monte Carlo simulation. The book covers basic principles, as well as newer methods such as parallel random number generation, nonlinear congruential generators, quasi Monte Carlo methods, and Markov chain Monte Carlo. The best methods for generating random variates from the standard distributions are presented, but also general techniques useful in more complicated models and in novel settings are described. The emphasis throughout the book is on practical methods that work well in current computing environments. The book includes exercises and can be used as a test or supplementary text for various courses in modern statistics. It could serve as the primary test for a specialized course in statistical computing, or as a supplementary text for a course in computational statistics and other areas of modern statistics that rely on simulation. The book, which covers recent developments in the field, could also serve as a useful reference for practitioners. Although some familiarity with probability and statistics is assumed, the book is accessible to a broad audience. The second edition is approximately 50% longer than the first edition. It includes advances in methods for parallel random number generation, universal methods for generation of nonuniform variates, perfect sampling, and software for random number generation.
Formation Methods, Models, and Hardware Implementation of Pseudorandom Number Generators: Emerging Research and Opportunities
Author: Bilan, Stepan Mykolayovych
language: en
Publisher: IGI Global
Release Date: 2017-10-31
Modern computing systems preserve all information in intricate binary codes. The evolution of systems and technologies that aid in this preservation process must be continually assessed to ensure that they are keeping up with the demands of society. Formation Methods, Models, and Hardware Implementation of Pseudorandom Number Generators: Emerging Research and Opportunities is a crucial scholarly resource that examines the current methodologies used in number generator construction, and how they pertain to the overall advancement of contemporary computer systems. Featuring coverage on relevant topics such as cellular automata theory, inhomogeneous cells, and sequence generators, this publication is ideal for software engineers, computer programmers, academicians, students, and researchers that are interested in staying abreast of innovative trends within the computer engineering field.
Introduction to Network Simulator NS2
Author: Teerawat Issariyakul
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-12-10
An Introduction to Network Simulator NS2 is a beginners’ guide for network simulator NS2, an open-source discrete event simulator designed mainly for networking research. NS2 has been widely accepted as a reliable simulation tool for computer communication networks both in academia and industry. This book will present two fundamental NS2 concepts:i) how objects (e.g., nodes, links, queues, etc.) are assembled to create a network and ii) how a packet flows from one object to another. Based on these concepts, this book will demonstrate through examples how new modules can be incorporated into NS2. The book will: -Give an overview on simulation and communication networks. -Provide general information (e.g., installation, key features, etc.) about NS2. -Demonstrate how to set up a simple network simulation scenario using Tcl scripting lanuage. -Explain how C++ and OTcl (Object oriented Tcl) are linked, and constitute NS2. -Show how Ns2 interprets a Tcl Script and executes it. -Suggest post simulation processing approaches and identify their pros and cons. -Present a number of NS2 extension examples. -Discuss how to incorporate MATLAB into NS2.