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Automata Theory: An Algorithmic Approach [9780262048637]

Hardcover
SKU: 9780262048637
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Format Sturdy and long-lasting. Ideal for libraries and classrooms, and a polished choice for corporate gifts, leadership programs, or event takeaways.

Price $80.00

Total for 25 copies:

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Overview

A comprehensive introduction to automata theory that uses the novel approach of viewing automata as data structures.

This textbook presents automata theory from a fresh viewpoint inspired by its main modern application, program verification, where automata are viewed as data structures for the algorithmic manipulation of sets and relations. This novel “automata as data structures” paradigm makes holistic connections between automata theory and other areas of computer science not covered in traditional texts, linking the study of algorithms and data structures with that of the theory of formal languages and computability. Esparza and Blondin provide incisive overviews of core concepts along with illustrated examples and exercises that facilitate quick comprehension of rigorous material. 

  • Uses novel “automata as data structures” approach
  • Algorithm approach ideal for programmers looking to broaden their skill set and researchers in automata theory and formal verification
  • The first introduction to automata on infinite words that does not assume prior knowledge of finite automata 
  • Suitable for both undergraduate and graduate students
  • Thorough, engaging presentation of concepts balances description, examples, and theoretical results 
  • Extensive illustrations, exercises, and solutions deepen comprehension 


The book, Automata Theory: An Algorithmic Approach [Bulk, Wholesale, Quantity] ISBN#9780262048637 in Hardcover by Javier Esparza, Michael Blondin may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:
Javier Esparza
Format:
Hardcover
Publication Date:
10/17/2023
ISBN-10:
0262048639
ISBN-13:
9780262048637
Pages:
560
Publisher:
MIT Press

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