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Computer Science - Theoretical Computer Science | Codes: An Introduction to Information Communication and Cryptography (Reviews)

Codes: An Introduction to Information Communication and Cryptography

Biggs, Norman L.

2008, X, 274p. 36 illus..

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From the reviews:

"This undergraduate textbook is a pleasure to read. … The author has a sense of humor, and he is not afraid to use it. The examples are very well chosen. … This very enjoyable book deserves many readers." (Miklós Bóna, The Mathematical Association of America, September, 2008)

"This is a clearly and carefully written introduction into information theory, coding theory and cryptography. … Due to the many motivating explanation, the numerous number of examples (for nearly every definition, concept and result) … and the many suggestions for further reading this book is, in my opinion, very suitable as well as for beginners in the field … . I can very much recommend this book to interested bachelor students as well as to lecturers on this subject." (Ralph-Hardo Schulz, Zentralblatt MATH, Vol. 1148, 2008)

"Coding here refers to the formal transcription of abstract information with the aim of achieving some combination of efficiency, reliability, and perhaps security. … Codes provides the student an initiation and shows the author’s great talent for mathematical exposition clearly propelled by big ideas. … will be valuable for academic libraries. Summing Up: Highly recommended. Advanced academic audiences, upper-division undergraduates through researchers/faculty." (D. V. Feldman, Choice, Vol. 46 (8), April, 2009)

"There are indeed substantial texts devoted to compression, coding systems of various sorts, and encryption. This text brings these three components together in a unified context and provides a basic, mathematically inclined introduction to each. … There is a reasonable amount of worked examples and exercises in the text. … This book could serve as a nice introduction to coding theory for computer science or electrical engineering students … and for mathematics students interested in computing and applied mathematics." (Jeffrey Putnam, ACM Computing Reviews, September, 2009)

 

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