The Mathematics of Information Coding, Extraction and Distribution, George Cybenko; Dianne P. O`Leary; Jorma Rissanen

Автор: Capinski
Название: Mathematics for Finance
ISBN: 0857290819 ISBN-13(EAN): 9780857290816
Издательство: Springer
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Цена: 4884.00 р.
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Описание: Mathematics for Finance: An Introduction to Financial Engineering combines financial motivation with mathematical style.

Автор: Mario Blaum; Patrick G. Farrell; Henk C.A. van Til
Название: Information, Coding and Mathematics
ISBN: 1402070799 ISBN-13(EAN): 9781402070792
Издательство: Springer
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Цена: 28734.00 р.
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Описание: A reference for professional and academic researchers working in error-correction coding and decoding, Shannon theory, cryptography, digital communications, information security, and electronic engineering. This book covers advances in the field of information and communication technology.

Автор: Johnson, Jr.
Название: Introduction to Information Theory and Data Compression, Second Edition
ISBN: 1584883138 ISBN-13(EAN): 9781584883135
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: Presents the fundamentals of information theory and data compression. This book discusses the historical and theoretical basis of information theory. It also covers algorithm(s) of Gallager and Knuth. It discusses the information rate of a code and the trade-off between error correction and information rate.

Автор: Stephan Dahlke; Wolfgang Dahmen; Michael Griebel;
Название: Extraction of Quantifiable Information from Complex Systems
ISBN: 3319081586 ISBN-13(EAN): 9783319081588
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level.

Автор: Stephan Dahlke; Wolfgang Dahmen; Michael Griebel;
Название: Extraction of Quantifiable Information from Complex Systems
ISBN: 3319346016 ISBN-13(EAN): 9783319346014
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level.

Автор: Dickson, David C. M.
Название: Actuarial Mathematics for Life Contingent Risks
ISBN: 1107044073 ISBN-13(EAN): 9781107044074
Издательство: Cambridge Academ
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Цена: 12514.00 р.
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Описание: Actuarial Mathematics for Life Contingent Risks, 2nd edition, is the sole required text for the Society of Actuaries Exam MLC Fall 2015 and Spring 2016. It covers the entire syllabus for the SOA Exam MLC, including new sections for Spring 2016. It is ideal for university courses and for individuals preparing for professional actuarial examinations - especially the new, long-answer exam questions. Three leaders in actuarial science balance rigor with intuition and emphasize practical applications using computational techniques to provide a modern perspective on life contingencies and equip students for the products and risk structures of the future. The authors then develop a more contemporary outlook, introducing multiple state models, emerging cash flows and embedded options. The 210 exercises provide meaningful practice with both long-answer and multiple choice questions. Furthermore: • the book has been updated to include new material on discrete time Markov processes, on models involving joint lives, and on universal life insurance and participating traditional insurance • the Solutions Manual (ISBN 9781107620261), available for separate purchase, provides detailed solutions to the text's exercises.

Автор: Togneri
Название: Fundamentals of Information Theory and Coding Design
ISBN: 1584883103 ISBN-13(EAN): 9781584883104
Издательство: Taylor&Francis
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Цена: 19140.00 р.
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Описание: Presents working algorithms and implementations that can be used to design and create real systems. This book emphasises on the underlying concepts governing information theory and the mathematical basis for modern coding systems. It also provides the practical details of important codes like Reed-Solomon, BCH, and Turbo codes.