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Fundamental Proof Methods in Computer Science A Computer-Based Approach [Hardcover]

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  • Category: Books
  • Author:  Arkoudas, Konstantine, Musser, David
  • Author:  Arkoudas, Konstantine, Musser, David
  • ISBN-10:  0262035537
  • ISBN-10:  0262035537
  • ISBN-13:  9780262035538
  • ISBN-13:  9780262035538
  • Publisher:  The MIT Press
  • Publisher:  The MIT Press
  • Pages:  976
  • Pages:  976
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-May-2017
  • Pub Date:  01-May-2017
  • SKU:  0262035537-11-SPLV
  • SKU:  0262035537-11-SPLV
  • Item ID: 100401713
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Mar 31 to Apr 02
  • Notes: Brand New Book. Order Now.

A textbook that teaches students to read and write proofs using Athena.

Proof is the primary vehicle for knowledge generation in mathematics. In computer science, proof has found an additional use: verifying that a particular system (or component, or algorithm) has certain desirable properties. This book teaches students how to read and write proofs using Athena, a freely downloadable computer language. Athena proofs are machine-checkable and written in an intuitive natural-deduction style. The book contains more than 300 exercises, most with full solutions. By putting proofs into practice, it demonstrates the fundamental role of logic and proof in computer science as no other existing text does. Guided by examples and exercises, students are quickly immersed in the most useful high-level proof methods, including equational reasoning, several forms of induction, case analysis, proof by contradiction, and abstraction/specialization. The book includes auxiliary material on SAT and SMT solving, automated theorem proving, and logic programming.

The book can be used by upper undergraduate or graduate computer science students with a basic level of programming and mathematical experience. Professional programmers, practitioners of formal methods, and researchers in logic-related branches of computer science will find it a valuable reference.

This book serves as both an encyclopedic manual of proof tools and techniques, and as a well-written inspirational manifesto explaining why it is important to be able to think about and work with proofs.

Fundamental Proof Methods in Computer Science is well thought out and carefully written. The text introduces formal notation from the outset, and employs it throughout the presentation. No other book that I know of brings with it the formalism necessary for mechanized logic processing. This is a significant contributlc‰

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