logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Random Number Generators For Computer Simulation And Cyber Security Design Search Theory And Application 2024th Edition Lihyuan Deng

  • SKU: BELL-232492800
Random Number Generators For Computer Simulation And Cyber Security Design Search Theory And Application 2024th Edition Lihyuan Deng
$ 35.00 $ 45.00 (-22%)

0.0

0 reviews

Random Number Generators For Computer Simulation And Cyber Security Design Search Theory And Application 2024th Edition Lihyuan Deng instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 5.47 MB
Pages: 274
Author: Lih-Yuan Deng, Nirman Kumar, Henry Horng-Shing Lu, Ching-Chi Yang
ISBN: 9783031767210, 3031767217
Language: English
Year: 2025
Edition: 2024

Product desciption

Random Number Generators For Computer Simulation And Cyber Security Design Search Theory And Application 2024th Edition Lihyuan Deng by Lih-yuan Deng, Nirman Kumar, Henry Horng-shing Lu, Ching-chi Yang 9783031767210, 3031767217 instant download after payment.

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. In summary, this book: Discusses the theoretical basis and intuition of various random number generators without overly detailed proofs Enables readers to design, develop, modify, or experiment with new random number generators Provides comprehensive coverage of random number generation for both simulation and cryptographic applications