Selected Unsolved Problems in Coding Theory - Info and Reading Options
By David Joyner and Jon-Lark Kim
"Selected Unsolved Problems in Coding Theory" is published by Springer in Aug 31, 2011, the book is classified in Mathematics genre, it has 216 pages and the language of the book is English.
“Selected Unsolved Problems in Coding Theory” Metadata:
- Title: ➤ Selected Unsolved Problems in Coding Theory
- Authors: David JoynerJon-Lark Kim
- Language: English
- Number of Pages: 216
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer
- Publish Date: Aug 31, 2011
- Genres: Mathematics
“Selected Unsolved Problems in Coding Theory” Subjects and Themes:
- Subjects: ➤ Algebraic Geometry - Number theory - Mathematics - Coding theory - Geometry, algebraic - Circuits Information and Communication - Coding and Information Theory - Image and Speech Processing Signal - Applications of Mathematics
Edition Specifications:
- Format: paperback
Edition Identifiers:
- Google Books ID: YDv6sgEACAAJ
- The Open Library ID: OL28164861M - OL20805290W
- ISBN-13: 9780817682576
- ISBN-10: 0817682570
- All ISBNs: 0817682570 - 9780817682576
AI-generated Review of “Selected Unsolved Problems in Coding Theory”:
Snippets and Summary:
Using an original mode of presentation, and emphasizing the computational nature of the subject, this book explores a number of the unsolved problems that still exist in coding theory.
"Selected Unsolved Problems in Coding Theory" Description:
Google Books:
Using an original mode of presentation, and emphasizing the computational nature of the subject, this book explores a number of the unsolved problems that still exist in coding theory. A well-established and highly relevant branch of mathematics, the theory of error-correcting codes is concerned with reliably transmitting data over a ‘noisy’ channel. Despite frequent use in a range of contexts, the subject still contains interesting unsolved problems that have resisted solution by some of the most prominent mathematicians of recent decades. Employing Sage—a free open-source mathematics software system—to illustrate ideas, this book is intended for graduate students and researchers in algebraic coding theory. The work may be used as supplementary reading material in a graduate course on coding theory or for self-study.
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