Algebraic and Stochastic Coding Theory Pdf

Edition:
Release: 2012-03-05
Publisher: CRC Press
Binding: Hardcover
ISBN/ASIN: 1439881812



Algebraic and Stochastic Coding Theory

Using a simple yet rigorous approach, Algebraic and Stochastic Coding Theory makes the subject of coding theory easy to understand for readers with a thorough knowledge of digital arithmetic, Boolean and modern algebra, and probability theory. Free download Algebraic and Stochastic Coding Theory books collection in PDF, EPUB, FB2, MOBI, and TXT formats. It explains the underlying principles of coding theory and offers a clear, detailed description of each code. More advanced readers will appreciate its coverage of recent developments in coding theory and stochastic processes. After a brief review of coding history and Boolean algebra, the book introduces linear codes, including Hamming and Golay codes. It then examines codes based on the Galois field theory as well as their application in BCH and especially the Reed–Solomon codes that have been used for error correction of data transmissions in space missions. Best deals ebooks download Algebraic and Stochastic Coding Theory on amazon. The major outlook in coding theory seems to be geared toward stochastic processes, and this book takes a bold step in this direction. As research focuses on error correction and recovery of erasures, the book discusses belief propagation and distributions. It examines the low-density parity-check and erasure codes that have opened up new approaches to improve wide-area network data transmission. It also describes modern codes, such as the Luby transform and Raptor codes, that are enabling new directions in high-speed transmission of very large data to multiple users. This robust, self-contained text fully explains coding problems, illustrating them with more than 200 examples. Combining theory and computational techniques, it will appeal not only to students but also to industry professionals, researchers, and academics in areas such as coding theory and signal and image processing. Algebraic and Stochastic Coding Theory with free ebook downloads available via rapidshare, mediafire, 4shared, and hotfile.

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Stochastic Systems

Edition:
Release: 1986-06-17
Publisher: Prentice Hall
Binding: Hardcover
ISBN/ASIN: 013846684X



Stochastic Systems: Estimation, Identification and Adaptive Control (Prentice-Hall Information and System Sciences Series)

Free download Stochastic Systems books collection in PDF, EPUB, FB2, MOBI, and TXT formats. Best deals ebooks download Stochastic Systems on amazon. Stochastic Systems: Estimation, Identification and Adaptive Control (Prentice-Hall Information and System Sciences Series) with free ebook downloads available via rapidshare, mediafire, 4shared, and hotfile.

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Introduction to Stochastic Programming

Edition: 2nd ed. 2011
Release: 2011-06-27
Publisher: Springer
Binding: Hardcover
ISBN/ASIN: 1461402360



Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering)

The aim of stochastic programming is to find optimal decisions in problems  which involve uncertain data. Free download Introduction to Stochastic Programming books collection in PDF, EPUB, FB2, MOBI, and TXT formats. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. At the same time, it is now being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability. The authors aim to present a broad overview of the main themes and methods of the subject. Best deals ebooks download Introduction to Stochastic Programming on amazon.Its prime goal is to help students develop an intuition on how to model uncertainty into mathematical problems, what uncertainty changes bring to the decision process, and what techniques help to manage uncertainty in solving the problems. In this extensively updated new edition there is more material on methods and examples including several new approaches for discrete variables, new results on risk measures in modeling and Monte Carlo sampling methods, a new chapter on relationships to other methods including approximate dynamic programming, robust optimization and online methods. The book is highly illustrated with chapter summaries and many examples and exercises. Students, researchers and practitioners in operations research and the optimization area will find it particularly of interest. Review of First Edition: "The discussion on modeling issues, the large number of examples used to illustrate the material, and the breadth of the coverage make 'Introduction to Stochastic Programming' an ideal textbook for the area." (Interfaces, 1998) Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering) with free ebook downloads available via rapidshare, mediafire, 4shared, and hotfile.

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