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One of the most important key technologies for digital communication systems as well as storage media is coding theory. It provides a means to transmit information across time and space over noisy and unreliable communication channels.
Coding Theory: Algorithms, Architectures and Applications provides a concise overview of channel coding theory and practice, as well as the accompanying signal processing architectures. The book is unique in presenting algorithms, architectures, and applications of coding theory in a unified framework. It covers the basics of coding theory before moving on to discuss algebraic linear block and cyclic codes, turbo codes and low density parity check codes and space-time codes. Coding Theory provides algorithms and architectures used for implementing coding and decoding strategies as well as coding schemes used in practice especially in communication systems.
Feature of the book include:
* Unique presentation-like style for summarising main aspects
* Practical issues for implementation of coding techniques
* Sound theoretical approach to practical, relevant coding methodologies
* Covers standard coding schemes such as block and convolutional codes, coding schemes such as Turbo and LDPC codes, and space time codes currently in research, all covered in a common framework with respect to their applications.
This book is ideal for postgraduate and undergraduate students of communication and information engineering, as well as computer Read more...
Algorithms for Computer Algebra is the first comprehensive textbook to be published on the topic of computational symbolic mathematics. The book first develops the foundational material from modern algebra that is required for subsequent topics. It then presents a thorough development of modern computational algorithms for such problems as multivariate polynomial arithmetic and greatest common divisor calculations, factorization of multivariate polynomials, symbolic solution of linear and polynomial systems of equations, and analytic integration of elementary functions. Numerous examples are integrated into the text as an aid to understanding the mathematical development. The algorithms developed for each topic are presented in a Pascal-like computer language. An extensive set of exercises is presented at the end of each chapter. Algorithms for Computer Algebra is suitable for use as a textbook for a course on algebraic algorithms at the third-year, fourth-year, or graduate level. Although the mathematical development uses concepts from modern algebra, the book is self-contained in the sense that a one-term undergraduate course introducing students to rings and fields is the only prerequisite assumed. The book also serves well as a supplementary textbook for a traditional modern algebra course, by presenting concrete applications to motivate the understanding of the theory of rings and fields.
Review
`The Computer Algebra community has been waiting for years for this boo Read more...
A handbook filling in a gap in the literature on the study of directed graphs. Presents a unified and comprehensive survey of the subject, covering theoretical and practical aspects, with algorithms, proofs, and applications of digraphs. Includes more than 700 exercises and 180 figures which further clarify topics. DLC: Directed graphs.
The study of directed graphs has developed enormously over recent decades, yet no book covers more than a tiny fraction of the results from more than 3000 research articles on the topic. Digraphs is the first book to present a unified and comprehensive survey of the subject. In addition to covering the theoretical aspects, including detailed proofs of many important results, the authors present a number of algorithms and applications. The applications of digraphs and their generalizations include among other things recent developments in the Travelling Salesman Problem, genetics and network connectivity. More than 700 exercises and 180 figures will help readers to study the topic while open problems and conjectures will inspire further research.
This book will be essential reading and reference for all graduate students, researchers and professionals in mathematics, operational research, computer science and other areas who are interested in graph theory and its applications. Read more... 
Author(s) : Michael McMillan
Publisher : Cambridge
Year : Mar 2005
ISBN 10 : 0521547652
ISBN 13 : 9780521547659
Language : English
Pages : 412
File type : PDF
Size : 1.2 MB
This is the first Visual Basic.NET (VB.NET) book to provide a comprehensive discussion of the major data structures and algorithms. Here, instead of having to translate material on C++ or Java, the professional or student VB.NET programmer will and a tutorial on how to use data structures and algorithms and a reference for implementation using VB.NET for data structures and algorithms from the .NET Framework Class Library as well as those that must be developed by the programmer.
This book is written primarily as a practical overview of the data structures and algorithms all serious computer programmers need to know and understand. Given this, there is no formal analysis of the data structures and algorithms covered in the book. Hence, there is not a single mathematical formula and not one mention of Big O analysis (for the latter the reader is referred to any of the books listed in the bibliography). Instead, the various data structures and algorithms are presented as problem-solving tools. We use simple timing tests to compare the performance of the data structures and algorithms discussed in the book.
This book can be used in both beginning and advanced computer programming courses that use the VB.NET language and, most importantly, by the professional Visual Basic programmer.
TABLE OF CONTENT:
Chapter 01 - Collections
Chapter 02 - Arrays and ArrayLists
Chapter 03 - Basic Sorting Algorithms
Chapter 04 - Basic Searching Algorithms
Chapter 05 - Stacks and Queues
Chapter 06 - The BitArray Class
Chapter 07 - Strings, the String Class, and the StringBuilder Class
Chapter 08 - Pattern Matching and Text Processing
Chapter 09 - Building Dictionaries
Chapter 10 - Hashing and the HashTable Class
Chapter 11 - Linked Lists
Chapter 12 - Binary Trees and Binary Search Trees
Chapter 13 - Sets
Chapter 14 - Advanced Sorting Algorithms
Chapter 15 - Advanced Data Structures and Algorithms for Searching
Chapter 16 - Graphs and Graph Algorithms
Chapter 17 - Advanced Algorithms
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Publisher: Sams; 2 edition
