Anbieter: Reuseabook, Gloucester, GLOS, Vereinigtes Königreich
EUR 38,01
Anzahl: 1 verfügbar
In den Warenkorbhardcover. Zustand: Used; Very Good. Dispatched, from the UK, within 48 hours of ordering. Though second-hand, the book is still in very good shape. Minimal signs of usage may include very minor creasing on the cover or on the spine.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 80,38
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 200 pages. 9.25x6.25x0.75 inches. In Stock.
Zustand: New. 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. Series: Applied and Numerical Harmonic Analysis. Num Pages: 248 pages, 17 black & white illustrations, 10 black & white tables, biography. BIC Classification: GPJ; PBW. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 14. Weight in Grams: 482. . 2011. 2011th Edition. hardcover. . . . . Books ship from the US and Ireland.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This original monograph investigates several unsolved problems that currently exist in coding theory. A highly relevant branch of mathematical computer science, the theory of error-correcting codes is concerned with reliably transmitting data over a 'noisy' channel. Despite its fairly long history and consistent prominence, the field still contains interesting 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, especially those who are interested in finding some current unsolved problems. Familiarity with concepts in algebra, number theory, and modular forms is assumed. The work may be used as supplementary reading material in a graduate course on coding theory or for self-study.