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The development of programming languages has profoundly impacted our relationship with language, complexity and machines. By introducing the principles of programming languages, using the Java language as a support, Gilles Dowek provides the necessary fundamentals of this language as a first objective. It is important to realise that knowledge of a single programming language is not really enough. To be a good programmer, you should be familiar with several languages and be able to learn new ones. In order to do this, you’ll need to understand universal concepts, such as functions or cells, which exist in one form or another in all programming languages. The most effective way to understand these universal concepts is to compare two or more languages. In this book, the author has chosen Caml and C. To understand the principles of programming languages, it is also important to learn how to precisely define the meaning of a program, and tools for doing so are discussed. Finally, there is coverage of basic algorithms for lists and trees. Intended for students with some small experience of computer programming, learned empirically in a single programming language other than Java, students in both computer science and engineering will find this book a very welcome introduction to the principles of programming languages. Written for students this book presents what all scientists and engineers should know about programming languages.

Electronic books. -- local. --- Programming languages (Electronic computers). --- Programming languages (Electronic computers) -- Problems, exercises, etc. --- Programming languages (Electronic computers) --- Computer Science --- Engineering & Applied Sciences --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Computer science. --- Computer programming. --- Software engineering. --- Algorithms. --- Computer logic. --- Computer Science. --- Programming Languages, Compilers, Interpreters. --- Logics and Meanings of Programs. --- Algorithm Analysis and Problem Complexity. --- Programming Techniques. --- Software Engineering. --- Computer science logic --- Logic, Symbolic and mathematical --- Algorism --- Algebra --- Arithmetic --- Electronic data processing --- Languages, Artificial --- Computer software engineering --- Engineering --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Informatics --- Science --- Foundations --- Programming --- Logic design. --- Computer software. --- Software, Computer --- Computer systems --- Design, Logic --- Design of logic systems --- Digital electronics --- Electronic circuit design --- Logic circuits --- Machine theory --- Switching theory

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MATHEMATICAL RECREATIONS

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The design and implementation of programming languages, from Fortran and Cobol to Caml and Java, has been one of the key developments in the management of ever more complex computerized systems. Introduction to the Theory of Programming Languages gives the reader the means to discover the tools to think, design, and implement these languages. It proposes a unified vision of the different formalisms that permit definition of a programming language: small steps operational semantics, big steps operational semantics, and denotational semantics, emphasising that all seek to define a relation between three objects: a program, an input value, and an output value. These formalisms are illustrated by presenting the semantics of some typical features of programming languages: functions, recursivity, assignments, records, objects, ... showing that the study of programming languages does not consist of studying languages one after another, but is organized around the features that are present in these various languages. The study of these features leads to the development of evaluators, interpreters and compilers, and also type inference algorithms, for small languages.

Electronic -- Programming. --- Programming languages (Electronic computers) -- Semantics. --- Programming languages (Electronic computers). --- Programming languages (Electronic computers) --- Engineering & Applied Sciences --- Computer Science --- Semantics --- Computer programming. --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Programming --- Computer science. --- Computers. --- Computer logic. --- Computer Science. --- Theory of Computation. --- Logics and Meanings of Programs. --- Coding theory --- Languages, Artificial --- Information theory. --- Logic design. --- Design, Logic --- Design of logic systems --- Digital electronics --- Electronic circuit design --- Logic circuits --- Machine theory --- Switching theory --- Communication theory --- Communication --- Cybernetics --- Semantics. --- Computer science logic --- Logic, Symbolic and mathematical --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Calculators --- Cyberspace

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This book constitutes the refereed proceedings of the 4th International Joint Conference on Automated Reasoning, IJCAR 2008, held in Sydney, Australia, in August 2008. The 26 revised full research papers and 13 revised system descriptions presented together with 4 invited papers and a summary of the CASC-J4 systems competition were carefully reviewed and selected from 80 full paper and 17 system description submissions. The papers address the entire spectrum of research in automated reasoning and are organized in topical sections on specific theories, automated verification, protocol verification, system descriptions, modal logics, description logics, equational theories, theorem proving, CASC, the 4th IJCAR ATP system competition, logical frameworks, and tree automata.

Automatic theorem proving --- Computer logic --- Information Technology --- Artificial Intelligence --- Artificial intelligence. --- Software engineering. --- Computer science. --- Logic design. --- Artificial Intelligence. --- Software Engineering/Programming and Operating Systems. --- Programming Techniques. --- Mathematical Logic and Formal Languages. --- Logics and Meanings of Programs. --- Software Engineering. --- Design, Logic --- Design of logic systems --- Digital electronics --- Electronic circuit design --- Logic circuits --- Machine theory --- Switching theory --- Informatics --- Science --- Computer software engineering --- Engineering --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer programming. --- Mathematical logic. --- Computer logic. --- Computer science logic --- Logic, Symbolic and mathematical --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Programming --- Artificial intelligence --- Computer science