Selected Unsolved Problems in Coding Theory
Nonfiction, Computers, Advanced Computing, Theory, Science & Nature, Mathematics, Applied
| Author: | David Joyner, Jon-Lark Kim | ISBN: | 9780817682569 |
| Publisher: | Birkhäuser Boston | Publication: | August 26, 2011 |
| Imprint: | Birkhäuser | Language: | English |
| Author: | David Joyner, Jon-Lark Kim |
| ISBN: | 9780817682569 |
| Publisher: | Birkhäuser Boston |
| Publication: | August 26, 2011 |
| Imprint: | Birkhäuser |
| Language: | English |
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.
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.
