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Selected Unsolved Problems in Coding Theory [Hardcover]

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  • Category: Books (Mathematics)
  • Author:  Joyner, David, Kim, Jon-Lark
  • Author:  Joyner, David, Kim, Jon-Lark
  • ISBN-10:  0817682554
  • ISBN-10:  0817682554
  • ISBN-13:  9780817682552
  • ISBN-13:  9780817682552
  • Publisher:  Birkh?user
  • Publisher:  Birkh?user
  • Pages:  255
  • Pages:  255
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Feb-2011
  • Pub Date:  01-Feb-2011
  • SKU:  0817682554-11-SPRI
  • SKU:  0817682554-11-SPRI
  • Item ID: 100881119
  • List Price: $54.99
  • Seller: ShopSpell
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  • Delivery by: Jul 03 to Jul 05
  • Notes: Brand New Book. Order Now.

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 Sagea free open-source mathematics software systemto 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.

This book explores several unsolved problems in coding theory. Employing Sage - a free open-source mathematics program - to illustrate ideas, the book can serve as supplementary reading material in a graduate course on coding theory, or as a self-study text.

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, yet still highly relevant branch of mathematics, the theory of error-correcting codes is concerned with reliably transmitting data over a noisy channel. Despite its frequent use in a range of contextsthe first close-up pictures of the surface of Mars, taken by the NASA spacecraft Mariner 9, were transmitted back to Earth using a ReedMuller codethe subject still contains interesting unsolved problems that have resisted solution by some of the most prominent mathematicians of recent decades.

Employing Sagea free open-source mathematics software systemto illustrate their ideas, the authlĂ›