Universal Algebra for Computer Scientists (Paperback, Softcover reprint of the original 1st ed. 1992)

A new model-theoretic approach to universal algebra is offered in this book. Written for computer scientists, it presents a systematic development of the methods and results of universal algebra that are useful in a variety of applications in computer science. The notation is simple and the concepts are clearly presented. The book concerns the algebraic characterization of axiomatic classes of algebras (equational, implicational, and universal Horn classes) by closure operators generalizing the famous Birkhoff Variety Theorem, and the algebraic characterization of the related theories. The book also presents a thorough study of term rewriting systems. Besides basic notions, the Knuth-Bendix completion procedure and termination proof methods are considered. A third main topic is that of fixpoint techniques and complete ordered algebras. Algebraic specifications of abstract data types and algebraic semantics of recursive program schemes are treated as applications. The book is self-contained and suitable both as a textbook for graduate courses and as a reference for researchers.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Monographs in Theoretical Computer Science. An EATCS Series, 25
Release date:	August 2012
First published:	1992
Authors:	Wolfgang Wechler
Dimensions:	242 x 170 x 19mm (L x W x T)
Format:	Paperback
Pages:	339
Edition:	Softcover reprint of the original 1st ed. 1992
ISBN-13:	978-3-642-76773-9
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Computer programming > Software engineering Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	3-642-76773-7
Barcode:	9783642767739

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