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Author: Paul H. Bardell
Publisher: Wiley-Interscience
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 376
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Book Description
This handbook provides ready access to all of the major concepts, techniques, problems, and solutions in the emerging field of pseudorandom pattern testing. Until now, the literature in this area has been widely scattered, and published work, written by professionals in several disciplines, has treated notation and mathematics in ways that vary from source to source. This book opens with a clear description of the shortcomings of conventional testing as applied to complex digital circuits, revewing by comparison the principles of design for testability of more advanced digital technology. Offers in-depth discussions of test sequence generation and response data compression, including pseudorandom sequence generators; the mathematics of shift-register sequences and their potential for built-in testing. Also details random and memory testing and the problems of assessing the efficiency of such tests, and the limitations and practical concerns of built-in testing.
Author: Paul H. Bardell
Publisher: Wiley-Interscience
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 376
Get Book Here
Book Description
This handbook provides ready access to all of the major concepts, techniques, problems, and solutions in the emerging field of pseudorandom pattern testing. Until now, the literature in this area has been widely scattered, and published work, written by professionals in several disciplines, has treated notation and mathematics in ways that vary from source to source. This book opens with a clear description of the shortcomings of conventional testing as applied to complex digital circuits, revewing by comparison the principles of design for testability of more advanced digital technology. Offers in-depth discussions of test sequence generation and response data compression, including pseudorandom sequence generators; the mathematics of shift-register sequences and their potential for built-in testing. Also details random and memory testing and the problems of assessing the efficiency of such tests, and the limitations and practical concerns of built-in testing.
Author: Ronald T. Kneusel
Publisher: Springer
ISBN: 3319776975
Category : Computers
Languages : en
Pages : 266
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Book Description
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.
Author: David Johnston
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501506269
Category : Computers
Languages : en
Pages : 516
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Book Description
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.
Author: V. N. Yarmolik
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 184
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Book Description
Deals with theoretical and practical problems of generating pseudorandom signals, and their use in automatic testing and verification systems for complex engineering entities. The authors present their own research results, and note the work of other, international, researchers. Covers pseudorandom digital signals represented by number sequences, elements of the theory of generating so-called maximal-length sequences, synthesis of digital and mixed number sequence generators, and applications. Includes critical analysis of linear congruential sequences, and shows that M-sequences have better properties than other types of sequences.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309047765
Category : Mathematics
Languages : en
Pages : 189
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Book Description
Some of the hardest computational problems have been successfully attacked through the use of probabilistic algorithms, which have an element of randomness to them. Concepts from the field of probability are also increasingly useful in analyzing the performance of algorithms, broadening our understanding beyond that provided by the worst-case or average-case analyses. This book surveys both of these emerging areas on the interface of the mathematical sciences and computer science. It is designed to attract new researchers to this area and provide them with enough background to begin explorations of their own.
Author: S. K. Zaremba
Publisher: Academic Press
ISBN: 1483265161
Category : Mathematics
Languages : en
Pages : 504
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Book Description
Applications of Number Theory to Numerical Analysis contains the proceedings of the Symposium on Applications of Number Theory to Numerical Analysis, held in Quebec, Canada, on September 9-14, 1971, under the sponsorship of the University of Montreal's Center for Research in Mathematics. The symposium provided a forum for discussing number theory and its applications to numerical analysis, tackling topics ranging from methods used in estimating discrepancy to the structure of linear congruential sequences. Comprised of 17 chapters, this book begins by considering some combinatorial problems studied experimentally on computing machines. The discussion then turns to experiments on optimal coefficients; a distribution problem in finite sets; and the statistical interdependence of pseudo-random numbers generated by the linear congruential method. Subsequent chapters deal with lattice structure and reduced bases of random vectors generated by linear recurrences; modulo optimization problems and integer linear programming; equivalent forms of zero-one programs; and number theoretic foundations of finite precision arithmetic. This monograph will be of interest to students and practitioners in the field of applied mathematics.
Author: Henk C.A. van Tilborg
Publisher: Springer Science & Business Media
ISBN: 1441959068
Category : Computers
Languages : en
Pages : 1457
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Book Description
Expanded into two volumes, the Second Edition of Springer’s Encyclopedia of Cryptography and Security brings the latest and most comprehensive coverage of the topic: Definitive information on cryptography and information security from highly regarded researchers Effective tool for professionals in many fields and researchers of all levels Extensive resource with more than 700 contributions in Second Edition 5643 references, more than twice the number of references that appear in the First Edition With over 300 new entries, appearing in an A-Z format, the Encyclopedia of Cryptography and Security provides easy, intuitive access to information on all aspects of cryptography and security. As a critical enhancement to the First Edition’s base of 464 entries, the information in the Encyclopedia is relevant for researchers and professionals alike. Topics for this comprehensive reference were elected, written, and peer-reviewed by a pool of distinguished researchers in the field. The Second Edition’s editorial board now includes 34 scholars, which was expanded from 18 members in the First Edition. Representing the work of researchers from over 30 countries, the Encyclopedia is broad in scope, covering everything from authentication and identification to quantum cryptography and web security. The text’s practical style is instructional, yet fosters investigation. Each area presents concepts, designs, and specific implementations. The highly-structured essays in this work include synonyms, a definition and discussion of the topic, bibliographies, and links to related literature. Extensive cross-references to other entries within the Encyclopedia support efficient, user-friendly searches for immediate access to relevant information. Key concepts presented in the Encyclopedia of Cryptography and Security include: Authentication and identification; Block ciphers and stream ciphers; Computational issues; Copy protection; Cryptanalysis and security; Cryptographic protocols; Electronic payment and digital certificates; Elliptic curve cryptography; Factorization algorithms and primality tests; Hash functions and MACs; Historical systems; Identity-based cryptography; Implementation aspects for smart cards and standards; Key management; Multiparty computations like voting schemes; Public key cryptography; Quantum cryptography; Secret sharing schemes; Sequences; Web Security. Topics covered: Data Structures, Cryptography and Information Theory; Data Encryption; Coding and Information Theory; Appl.Mathematics/Computational Methods of Engineering; Applications of Mathematics; Complexity. This authoritative reference will be published in two formats: print and online. The online edition features hyperlinks to cross-references, in addition to significant research.
Author: Michael Drmota
Publisher: Springer
ISBN: 354068333X
Category : Mathematics
Languages : en
Pages : 517
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Book Description
The main purpose of this book is to give an overview of the developments during the last 20 years in the theory of uniformly distributed sequences. The authors focus on various aspects such as special sequences, metric theory, geometric concepts of discrepancy, irregularities of distribution, continuous uniform distribution and uniform distribution in discrete spaces. Specific applications are presented in detail: numerical integration, spherical designs, random number generation and mathematical finance. Furthermore over 1000 references are collected and discussed. While written in the style of a research monograph, the book is readable with basic knowledge in analysis, number theory and measure theory.
Author: Donald Watts Davies
Publisher: Springer
ISBN:
Category : Computers
Languages : en
Pages : 580
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Book Description
This proceedings volume contains revised versions of papers presented at an open workshop on modern cryptology held in Brighton, UK, April 1991. The workshop was the latest in a series of workshops on cryptology which began in Santa Barbara in 1981 and was followed by a European counterpart in 1982. Following the tradition of the series, papers were invited in the form of extended abstracts and were reviewed by the programme committee, which selected those to be presented. After the meeting, the full papers were produced which form the main part of the volume. The papers are organized into sections on cryptanalysis, zero knowledge and oblivious transfer, sequences, signatures, theory, S-box criteria, applications, and public key cryptography, and a section containing short "rump session" papers.
Author: J. A. Hartigan
Publisher: Springer Science & Business Media
ISBN: 1461382424
Category : Mathematics
Languages : en
Pages : 154
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Book Description
This book is based on lectures given at Yale in 1971-1981 to students prepared with a course in measure-theoretic probability. It contains one technical innovation-probability distributions in which the total probability is infinite. Such improper distributions arise embarras singly frequently in Bayes theory, especially in establishing correspondences between Bayesian and Fisherian techniques. Infinite probabilities create interesting complications in defining conditional probability and limit concepts. The main results are theoretical, probabilistic conclusions derived from probabilistic assumptions. A useful theory requires rules for constructing and interpreting probabilities. Probabilities are computed from similarities, using a formalization of the idea that the future will probably be like the past. Probabilities are objectively derived from similarities, but similarities are sUbjective judgments of individuals. Of course the theorems remain true in any interpretation of probability that satisfies the formal axioms. My colleague David Potlard helped a lot, especially with Chapter 13. Dan Barry read proof. vii Contents CHAPTER 1 Theories of Probability 1. 0. Introduction 1 1. 1. Logical Theories: Laplace 1 1. 2. Logical Theories: Keynes and Jeffreys 2 1. 3. Empirical Theories: Von Mises 3 1. 4. Empirical Theories: Kolmogorov 5 1. 5. Empirical Theories: Falsifiable Models 5 1. 6. Subjective Theories: De Finetti 6 7 1. 7. Subjective Theories: Good 8 1. 8. All the Probabilities 10 1. 9. Infinite Axioms 11 1. 10. Probability and Similarity 1. 11. References 13 CHAPTER 2 Axioms 14 2. 0. Notation 14 2. 1. Probability Axioms 14 2. 2.
