Applied Algebra, Algebraic Algorithms and Error-Correcting Codes: 10th International Symposium, AAECC-10, San Juan de Puerto Rico, Puerto Rico, May . (Lecture Notes in Computer Science, 673)

Cohen, Gerard [Editor]; Mora, Teo [Editor]; Moreno, Oscar [Editor];

ISBN 10: 3540566864 / ISBN 13: 9783540566861

Published by Springer, 1993

About this Item

Hardcover. Very Good to Fine no dust jacket (red boards). Remainder mark. Interior clean and unmarked. Tight binding.

Seller Inventory # UTD1482615

Bibliographic Details

• Title: Applied Algebra, Algebraic Algorithms and Error-Correcting Codes: 10th International Symposium, AAECC-10, San Juan de Puerto Rico, Puerto Rico, May . (Lecture Notes in Computer Science, 673)
• Publisher: Springer
• Publication Date: 1993
• Language: English
• ISBN 10: 3540566864
• ISBN 13: 9783540566861
• Binding: Paperback
• Condition: Very Good

About this title

Synopsis

This volume is the proceedings of the 10th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes (AAECC 10),held in Puerto Rico, May 1993. The aim of the AAECC meetings is to attract high-level research papers and to encourage cross-fertilization among different areas which share the use of algebraic methods and techniques for applications in the sciences of computing, communications, and engineering. The AAECC symposia are mainly devoted to research in coding theory and computer algebra. The theoryof error-correcting codes deals with the transmission of information in the presence of noise. Coding is the systematic use of redundancy in theformation of the messages to be sent so as to enable the recovery of the information present originally after it has been corrupted by (not too much)noise. Computer algebra is devoted to the investigation of algorithms, computational methods, software systems and computer languages, oriented to scientific computations performed on exact and often symbolic data, by manipulating formal expressions by means of the algebraic rules they satisfy. Questions of complexity and cryptography are naturally linked with both coding theory and computer algebra and represent an important share of the area covered by AAECC.