Random Number Generators for Computer Simulation and Cyber Security, 9783031767210
Hardcover
Unlock secrets of random numbers: simulation, security, and modern generators.

Random Number Generators for Computer Simulation and Cyber Security

design, search, theory, and application

$98.99

  • Hardcover

    260 pages

  • Release Date

    7 March 2025

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Summary

Unleashing Randomness: A Deep Dive into Number Generators for Simulation and Security

This book explores the theory and practical applications of random number generators (RNGs), essential for both computer simulation and cybersecurity.

Random numbers are fundamental in computation, powering randomized algorithms for sampling, initializing parameters, and executing Markov Chain Monte Carlo (MCMC) methods. They are equally vital in computer security, underpinning cryptographi…

Book Details

ISBN-13:9783031767210
ISBN-10:3031767217
Series:Synthesis Lectures on Mathematics & Statistics
Author:Lih-Yuan Deng, Nirman Kumar, Henry Horng-Shing Lu, Ching-Chi Yang
Publisher:Springer International Publishing AG
Imprint:Springer International Publishing AG
Format:Hardcover
Number of Pages:260
Edition:2024th
Release Date:7 March 2025
Weight:0g
Dimensions:240mm x 168mm
About The Author

Lih-Yuan Deng

Lih-Yuan Deng, PhD, is a Professor in the Department of Mathematical Sciences at the University of Memphis. His research focuses on random number generators and has published several papers on the topic, as well as in other areas of statistics and data science.

Nirman Kumar, PhD, is currently a Consulting Member of Technical Staff at Oracle America, Inc. Prior to this, he was an Assistant Professor of Computer Science at the University of Memphis. His research work has focused on theoretical computer science and machine learning and he has several publications in the areas of computational geometry, randomized algorithms, and machine learning.

Henry Horng-Shing Lu, PhD, is a Professor in the Institute of Statistics at the National Yang Ming Chiao Tung University. His research focuses on statistics, image science, and bioinformatics with publications on related topics for scientific and industrial applications.

Ching-Chi Yang, PhD, is an Assistant Professor in the Department of Mathematical Sciences at the University of Memphis. His research focuses on statistical applications and has published several papers in the areas of statistical dimensional analysis.

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