Fundamentals of the Theory of Computation: Principles and Practice: Principles and Practice

Raymond Greenlaw

ISBN 10: 1558605479 / ISBN 13: 9781558605473

Published by Morgan Kaufmann, 1998

About this Item

1998. Teachers Guide. Paperback. . . . . .

Seller Inventory # V9781558605473

Bibliographic Details

• Title: Fundamentals of the Theory of Computation: Principles and Practice: Principles and Practice
• Publisher: Morgan Kaufmann
• Publication Date: 1998
• Language: English
• ISBN 10: 1558605479
• ISBN 13: 9781558605473
• Binding: Soft cover
• Condition: New

About this title

Synopsis

This innovative textbook presents the key foundational concepts for a one-semester undergraduate course in the theory of computation. It offers the most accessible and motivational course material available for undergraduate computer theory classes. Directed at undergraduates who may have difficulty understanding the relevance of the course to their future careers, the text helps make them more comfortable with the techniques required for the deeper study of computer science. The text motivates students by clarifying complex theory with many examples, exercises and detailed proofs.

From the Back Cover

This innovative textbook presents the key foundational concepts that can be covered in a one semester undergraduate course in the theory of computation. It offers the most accessible and motivational course material available for undergraduate computer theory classes and is directed at the typical undergraduate who may have difficulty understanding the relevance of the course to their future careers. The text helps make students more comfortable with techniques required for the deeper study of computer science.

This text is a bridge between theory and practice. It shows how theory is motivated by practical problems, and in turn how theory influences the practice of computing. Simple tools like string matchers, complex tools like compilers, and general notions like cryptographic security all lie at the interface between principles and practice.

Features:

• Contains coverage of contemporary topics: languages and problems, machine models, grammars, reductions, resource consumption, syntax vs. semantics, sequential vs. parallel computation, feasible vs. intractable problems
  
• Motivates students by clarifying complex theory with many examples, exercises, and detailed proofs
  
• Offers an integrated review of discrete math concepts, defining each concept where it is first used
  
• Unifies notation for describing machine models
  
• Emphasizes computational complexity