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Books : Computers & Internet : Programming : Software Design, Testing & Engineering : Coding Theory
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For a first course on coding theory at the senior or beginning graduate level. A reorganized and comprehensive major revision of a classic textbook. This text provides a bridge between introductory courses in digital communications and more advanced courses in information theory. Completely updated to cover the latest developments. It presents state-of-the-art error control techniques.
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Cryptography is concerned with the conceptualization, definition and construction of computing systems that address security concerns. This book presents a rigorous and systematic treatment of the foundational issues: defining cryptographic tasks and solving new cryptographic problems using existing tools. It focuses on the basic mathematical tools: computational difficulty (one-way functions), pseudorandomness and zero-knowledge proofs. Rather than describing ad-hoc approaches, this book emphasizes the clarification of fundamental concepts and the demonstration of the feasibility of solving cryptographic problems. It is suitable for use in a graduate course on cryptography and as a reference book for experts.
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This title is a language-independent introduction to programming logic. It provides users with a structural approach to problem-solving in any language
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Comprehensive in approach, this introduction to network and internetwork security provides a tutorial survey of network security technology, discusses the standards that are being developed for security in an internetworking environment, and explores the practical issues involved in developing security applications.
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This book is a unique and essential reference that focuses upon the reading and comprehension of existing software code. While code reading is an important task faced by the vast majority of students, it has been virtually ignored as a discipline by existing references. The book fills this need with a practical presentation of all important code concepts, form, structure, and syntax that a student is likely to encounter. The concepts are supported by examples taken from real-world open source software projects. The focus upon reading code (rather than developing and implementing programs from scratch) provides for a vastly increased breadth of coverage.
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The purpose of this book is to present in a unified, completely algorithmic form, a description of thirteen calendars and how they relate to one another: the present civil calendar (Gregorian), the recent ISO commercial calendar, the old civil calendar (Julian), the Coptic and (virtually identical) Ethiopic calendars, the Islamic (Moslem) calendar, the Baha'i, the Hebrew (Jewish) calendar, the Mayan calendars, the French Revolutionary calendar, the Chinese calendar, and both the old (mean) and new (true) Hindu (Indian) calendars. Easy conversion among these calendars is a by-product of the approach, as is the determination of secular and religious holidays. Calendrical Calculations makes accurate calendrical algorithms readily available for computer use. This volume will be a valuable resource for working programmers, as well as a fount of useful algorithmic tools for computer scientists.
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This self-contained introduction to modern cryptography emphasizes the mathematics behind the theory of public key cryptosystems and digital signature schemes. The book focuses on these key topics while developing the mathematical tools needed for the construction and security analysis of diverse cryptosystems. Only basic linear algebra is required of the reader; techniques from algebra, number theory, and probability are introduced and developed as required.
The book covers a variety of topics that are considered central to mathematical cryptography. Key topics include:
* classical cryptographic constructions, such as Diffie-Hellmann key exchange, discrete logarithm-based cryptosystems, the RSA cryptosystem, and digital signatures;
* fundamental mathematical tools for cryptography, including primality testing, factorization algorithms, probability theory, information theory, and collision algorithms;
* an in-depth treatment of important recent cryptographic innovations, such as elliptic curves, elliptic curve and pairing-based cryptography, lattices, lattice-based cryptography, and the NTRU cryptosystem.
Additional topics, including hash functions, pseudorandom number generators, zero-knowledge proofs, digital cash and DES/AES, are briefly described in the final chapter. This book is an ideal introduction for mathematics and computer science students to the mathematical foundations of modern cryptography. The book includes an extensive bibliography and index; supplementary materials are available online.
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This book assumes a minimal background in programming and a level of math sophistication equivalent to a course in linear algebra. It provides a flexible organization, as each chapter is modular and can be covered in any order. Using Mathematica, Maple, and MATLAB, computer examples included in an Appendix explain how to do computation and demonstrate important concepts. A full chapter on error correcting codes introduces the basic elements of coding theory. Other topics covered: Classical cryptosystems, basic number theory, the data encryption standard, AES: Rijndael, the RSA algorithm, discrete logarithms, digital signatures, e-commerce and digital cash, secret sharing schemes, games, zero knowledge techniques, key establishment protocols, information theory, elliptic curves, error correcting codes, quantum cryptography. For professionals in cryptography and network security.
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Provides a detailed reference on all Basic control structures, data types, and other code mechanisms. Includes step-by-step instructions on how to build common code structures in VB, from simple if statements to objects and ActiveX components. Lays out the low-level formatting of VB data types to facilitate data exchange with other languages.
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This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. The two subsequent chapters discuss information theory: efficiency of codes, the entropy of information sources, and Shannon's Noiseless Coding Theorem. The remaining three chapters deal with coding theory: communication channels, decoding in the presence of errors, the general theory of linear codes, and such specific codes as Hamming codes, the simplex codes, and many others.
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This book provides engineers and computer scientists with all the tools necessary to implement modern error-processing techniques. It assumes only a basic knowledge of linear algebra and develops the mathematical theory in parallel with the codes. Central to the text are worked examples which motivate and explain the theory. The first part introduces the basic ideas of coding theory. The second and third cover the theory of finite fields and give a detailed treatment of BCH and Reed-Solomon codes. The fourth part is devoted to Goppa codes, both classical and geometric, concluding with the Skorobogatov-Vladut error processor. A special feature is a simplified (but rigorous) treatment of the geometry of curves.
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Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of practitioners in the field. Each contribution of this singular resource includes: o unique code segments o documentation o description of the operations performed o rationale for the chosen approach o problems the code overcomes or addresses Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems complements the first two volumes in the series by offering examples of computer code. The first two volumes dealt with new research and an overview of the types of applications that could be taken with GAs. This volume differs from its predecessors by specifically concentrating on specific functions in genetic algorithms, serving as the only compilation of useful and usable computer code in the field.
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Covering technique and implementation for building code for complex applications frameworks, this book demonstrates how to build high-quality output that is consistent and maintainable. Lessons on abstracting the design of the code so that multiple outputs can be created from a single abstract model of the application functionality are provided. Techniques that range from using simple code processors to handle common coding problems to creating more elaborate and complex generators that maintain entire application tiers are covered. Topics such as building database access, user interface, remote procedure, test cases, and business logic code are also addressed, as is code for other system functions. Although code generation is an engineering technique, it also has an impact on engineering teams and management, an aspect of code generation that is covered in depth in this resource.
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Hardbound.
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This practical handbook provides communication systems engineers with guidance in the application of error-control coding. It emphasizes the fundamental concepts of coding theory while minimizing the use of mathematical tools...demonstrates the role of coding in communication system design...shows the performance gains achievable with coding...illustrates how codes should be used and how to select the right code parameters...discusses the decoding techniques that should be considered and how they are implemented...and examines how detailed performance results are obtained.