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Fundamental Proof Methods in Computer Science (A Computer-Based Approach)

List Price: $60.00
SKU:
9780262035538
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  • Product Details

    Author:
    Konstantine Arkoudas, David Musser
    Format:
    Hardcover
    Pages:
    976
    Publisher:
    MIT Press (May 5, 2017)
    Language:
    English
    ISBN-13:
    9780262035538
    ISBN-10:
    0262035537
    Weight:
    63.2oz
    Dimensions:
    8.31" x 9.31" x 1.5"
    Case Pack:
    8
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260705T121612_156890331-20260705.xml
    Folder:
    RandomHouse
    List Price:
    $60.00
    As low as:
    $46.20
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
    Audience:
    General/trade
    Country of Origin:
    United States
    Pub Discount:
    65
    Imprint:
    The MIT Press
  • Overview

    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.