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LĂ€s merISBN | 9780262039185 |
Format | Inbunden (Hardback) |
Författare | Rex Page, Ruben Gamboa |
PubliceringsÄr | 2019-01-08 |
Förlag | MIT Press |
Antal sidor | 304 |
SprÄk | Engelska |
Inbunden (Hardback) âą 2019-01-08
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FÄ ett meddelande nÀr denna bok sÀljes begagnad igen.
Boken Essential Logic for Computer Science slÀpptes Är 2019 och Àr skriven av Rex Page och Ruben Gamboa.
Den bestÄr av 304 sidor och Àr skriven pÄ engelska. Boken Àr utgiven av förlaget MIT Press.
Vi kunde inte hitta nÄgot pris pÄ vad den kostar ny.An introduction to applying predicate logic to testing and verification of software and digital circuits that focuses on applications rather than theory.Computer scientists use logic for testing and verification of software and digital circuits, but many computer science students study logic only in the context of traditional mathematics, encountering the subject in a few lectures and a handful of problem sets in a discrete math course. This book offers a more substantive and rigorous approach to logic that focuses on applications in computer science. Topics covered include predicate logic, equation-based software, automated testing and theorem proving, and large-scale computation. Formalism is emphasized, and the book employs three formal notations: traditional algebraic formulas of propositional and predicate logic; digital circuit diagrams; and the widely used partially automated theorem prover, ACL2, which provides an accessible introduction to mechanized formalism. For readers who want to see formalization in action, the text presents examples using Proof Pad, a lightweight ACL2 environment. Readers will not become ALC2 experts, but will learn how mechanized logic can benefit software and hardware engineers. In addition, 180 exercises, some of them extremely challenging, offer opportunities for problem solving. There are no prerequisites beyond high school algebra. Programming experience is not required to understand the book's equation-based approach. The book can be used in undergraduate courses in logic for computer science and introduction to computer science and in math courses for computer science students.
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