Logic and Language Models for Computer Science - Softcover

Hamburger, Henry; Richards, Dana

 
9780130654878: Logic and Language Models for Computer Science

Inhaltsangabe

For sophomore/junior-level courses in, Logic, Automata Theory, Theory of Computation/CS Theory, Discrete Mathematics, and Complexity Theory.

This text provides students with in-depth explorations of a broad range of theoretical topics in computer science. It plunges into the applications of the abstract concepts in order to confront and address the skepticism of many students, and instill in them an appreciation for the usefulness of theory.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Henry Hamburger is a Professor and Chairman of the Department of Computer Science at George Mason University.

Dana Richards is an Associate Professor with the Department of Computer Science at George Mason University.

Von der hinteren Coverseite

This book invites the reader to explore abstractions that are crucial to computer science. The authors bring a sense of excitement to logics, formal languages and automata―motivating topics by linking them to computing and to computational applications, sometime with whole chapters. They achieve exceptional clarity through a plethora of examples and figures, yet without-losing sight of, and indeed celebrating, the precision that is the hallmark of this subject matter.

Features of the book include:
  • application of logic to program verification
  • programming in the logic language, Prolog
  • discussion of "why" and "how" to prove things
  • relationships between English and programming languages
  • diagrams-first approach to automata
  • lex as a tool and an extension of formal language
  • pushdown automata as parsing strategies
  • Turing machines as models of computation

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Weitere beliebte Ausgaben desselben Titels

9789813229204: LOGIC & LANG MODEL COMP (3RD ED): Third Edition

Vorgestellte Ausgabe

ISBN 10:  9813229209 ISBN 13:  9789813229204
Verlag: World Scientific, 2017
Hardcover