Computer Programming and Formal Systems

Computer Programming and Formal Systems PDF Author: P Braffort
Publisher:
ISBN:
Category : Computer programming
Languages : en
Pages : 180

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Computer Programming and Formal Systems

Computer Programming and Formal Systems PDF Author: Lev D. Beklemishev
Publisher: Elsevier
ISBN: 0080957552
Category : Computers
Languages : en
Pages : 171

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Book Description
Computer Programming and Formal Systems

Provability, Computability and Reflection

Provability, Computability and Reflection PDF Author: Lev D. Beklemishev
Publisher: Elsevier
ISBN: 9780080957463
Category : Mathematics
Languages : en
Pages : 160

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Book Description
Provability, Computability and Reflection

The Formal Semantics of Programming Languages

The Formal Semantics of Programming Languages PDF Author: Glynn Winskel
Publisher: MIT Press
ISBN: 9780262731034
Category : Computers
Languages : en
Pages : 388

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Book Description
The Formal Semantics of Programming Languages provides the basic mathematical techniques necessary for those who are beginning a study of the semantics and logics of programming languages. These techniques will allow students to invent, formalize, and justify rules with which to reason about a variety of programming languages. Although the treatment is elementary, several of the topics covered are drawn from recent research, including the vital area of concurency. The book contains many exercises ranging from simple to miniprojects.Starting with basic set theory, structural operational semantics is introduced as a way to define the meaning of programming languages along with associated proof techniques. Denotational and axiomatic semantics are illustrated on a simple language of while-programs, and fall proofs are given of the equivalence of the operational and denotational semantics and soundness and relative completeness of the axiomatic semantics. A proof of Godel's incompleteness theorem, which emphasizes the impossibility of achieving a fully complete axiomatic semantics, is included. It is supported by an appendix providing an introduction to the theory of computability based on while-programs. Following a presentation of domain theory, the semantics and methods of proof for several functional languages are treated. The simplest language is that of recursion equations with both call-by-value and call-by-name evaluation. This work is extended to lan guages with higher and recursive types, including a treatment of the eager and lazy lambda-calculi. Throughout, the relationship between denotational and operational semantics is stressed, and the proofs of the correspondence between the operation and denotational semantics are provided. The treatment of recursive types - one of the more advanced parts of the book - relies on the use of information systems to represent domains. The book concludes with a chapter on parallel programming languages, accompanied by a discussion of methods for specifying and verifying nondeterministic and parallel programs.

Formal Methods in Computer Science

Formal Methods in Computer Science PDF Author: Jiacun Wang
Publisher: CRC Press
ISBN: 1498775357
Category : Computers
Languages : en
Pages : 279

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Book Description
This textbook gives students a comprehensive introduction to formal methods and their application in software and hardware specification and verification. It has three parts: The first part introduces some fundamentals in formal methods, including set theory, functions, finite state machines, and regular expressions. The second part focuses on logi

Certified Programming with Dependent Types

Certified Programming with Dependent Types PDF Author: Adam Chlipala
Publisher: MIT Press
ISBN: 0262545748
Category : Computers
Languages : en
Pages : 437

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Book Description
A handbook to the Coq software for writing and checking mathematical proofs, with a practical engineering focus. The technology of mechanized program verification can play a supporting role in many kinds of research projects in computer science, and related tools for formal proof-checking are seeing increasing adoption in mathematics and engineering. This book provides an introduction to the Coq software for writing and checking mathematical proofs. It takes a practical engineering focus throughout, emphasizing techniques that will help users to build, understand, and maintain large Coq developments and minimize the cost of code change over time. Two topics, rarely discussed elsewhere, are covered in detail: effective dependently typed programming (making productive use of a feature at the heart of the Coq system) and construction of domain-specific proof tactics. Almost every subject covered is also relevant to interactive computer theorem proving in general, not just program verification, demonstrated through examples of verified programs applied in many different sorts of formalizations. The book develops a unique automated proof style and applies it throughout; even experienced Coq users may benefit from reading about basic Coq concepts from this novel perspective. The book also offers a library of tactics, or programs that find proofs, designed for use with examples in the book. Readers will acquire the necessary skills to reimplement these tactics in other settings by the end of the book. All of the code appearing in the book is freely available online.

Programming with Higher-Order Logic

Programming with Higher-Order Logic PDF Author: Dale Miller
Publisher: Cambridge University Press
ISBN: 1139510428
Category : Computers
Languages : en
Pages : 321

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Book Description
Formal systems that describe computations over syntactic structures occur frequently in computer science. Logic programming provides a natural framework for encoding and animating such systems. However, these systems often embody variable binding, a notion that must be treated carefully at a computational level. This book aims to show that a programming language based on a simply typed version of higher-order logic provides an elegant, declarative means for providing such a treatment. Three broad topics are covered in pursuit of this goal. First, a proof-theoretic framework that supports a general view of logic programming is identified. Second, an actual language called λProlog is developed by applying this view to higher-order logic. Finally, a methodology for programming with specifications is exposed by showing how several computations over formal objects such as logical formulas, functional programs, and λ-terms and π-calculus expressions can be encoded in λProlog.

Elements of Programming

Elements of Programming PDF Author: Alexander Stepanov
Publisher: Lulu.com
ISBN: 0578222140
Category : Computers
Languages : en
Pages : 282

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Book Description
Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering, must be based on a solid mathematical foundation. This book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software.

Applications of Formal Methods

Applications of Formal Methods PDF Author: Michael Gerard Hinchey
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 480

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Book Description
This collection of case studies contains contributions illustrating the application of formal methods to real-life problems with industrial relevance.

Set Theory for Computing

Set Theory for Computing PDF Author: Domenico Cantone
Publisher: Springer Science & Business Media
ISBN: 9780387951973
Category : Computers
Languages : en
Pages : 440

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Book Description
"Set Theory for Computing" provides a comprehensive account of set-oriented symbolic manipulation methods suitable for automated reasoning. Its main objective is twofold: 1) to provide a flexible formalization for a variety of set languages, and 2) to clarify the semantics of set constructs firmly established in modern specification languages and in the programming practice. Topics include: semantic unification, decision algorithms, modal logics, declarative programming, tableau-based proof techniques, and theory-based theorem proving. The style of presentation is self-contained, rigorous and accurate. Some familiarity with symbolic logic is helpful but not a requirement. This book is a useful resource for all advanced students, professionals, and researchers in computing sciences, artificial intelligence, automated reasoning, logic, and computational mathematics. It will serve to complement their intuitive understanding of set concepts with the ability to master them by symbolic and logically based algorithmic methods and deductive techniques.