<p>Algorithms for computation are a central part of both digital signal proΒ cessing and decoders for error-control codes and the central algorithms of the two subjects share many similarities. Each subject makes extensive use of the discrete Fourier transform, of convolutions, and of algorithms for
Commutative Algebra Methods for Coding Theory
β Scribed by Εtefan Ovidiu I. TohΔneanu
- Publisher
- De Gruyter
- Year
- 2024
- Tongue
- English
- Leaves
- 276
- Series
- De Gruyter Studies in Mathematics; 97
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book aims to be a comprehensive treatise on the interactions between Coding Theory and Commutative Algebra. With the help of a multitude of examples, it expands and systematizes the known and versatile commutative algebraic framework used, since the early 90βs, to study linear codes. The book provides the necessary background for the reader to advance with similar research on coding theory topics from commutative algebraic perspectives.
β¦ Table of Contents
Dedication
Contents
1 Introduction
2 Preliminaries
3 Ideals generated by fold products of linear forms
4 Fat points defining linear codes
5 Evaluation codes
6 Additional topics
Bibliography
Index of notations
Index
π SIMILAR VOLUMES
<p>This book is a short primer in engineering mathematics with a view on applications in nonlinear control theory. In particular, it introduces some elementary concepts of commutative algebra and algebraic geometry which offer a set of tools quite different from the traditional approaches to the sub
The interplay between computation and many areas of algebra is a natural phenomenon in view of the algorithmic character of the latter. The existence of inexpensive but powerful computational resources has enhanced these links by the opening up of many new areas of investigation in algebra.
<P>From the reviews: </P> <P>"... Many parts of the book can be read by anyone with a basic abstract algebra course... it was one of the author's intentions to equip students who are interested in computational problems with the necessary algebraic background in pure mathematics and to encourage the