Deductive program design aims at methods that guide and support the development of programs by techniques of deduction. Deduction is a well-known subject of study in logical theories. However, the application of deductive techniques in program design needs methods, heuristics, and understanding of the required forms and formats of the development result that go far beyond those found in logical theories. The summer school presents a very broad spectrum of approaches to these issues. Edsger W. Dijkstra gives a number of beautiful examples that show how to design proofs. Samson Abramsky, Simon Gay, and Rajagopal Nagarajan contribute a fundamental study founding concurrent programming on interaction categories and foundations of type theory. Tony Hoare presents unifying views on mathematical models for computing science. Unifying theories are especially important if the whole development process of programs is to be supported by deductive techniques. The rest of the contributions address applications of deductive program design methods. They are directed to different areas of application; for example Richard Bird's and Oege de Moor's algebra of programming is mainly intended for classical functional programming, and the contribution on data refinement and their transformation by David Gries considers sequential procedural programs.
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Advanced research on the description of distributed systems and on design calculi for software and hardware is presented in this volume. Distinguished researchers give an overview of the latest state of the art.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. Deductive program design aims at methods that guide and support the development of programs by techniques of deduction. Deduction is a well-known subject of study in logical theories. However, the application of deductive techniques in program design needs methods, heuristics, and understanding of the required forms and formats of the development result that go far beyond those found in logical theories. The summer school presents a very broad spectrum of approaches to these issues. Edsger W. Dijkstra gives a number of beautiful examples that show how to design proofs. Samson Abramsky, Simon Gay, and Rajagopal Nagarajan contribute a fundamental study founding concurrent programming on interaction categories and foundations of type theory. Tony Hoare presents unifying views on mathematical models for computing science. Unifying theories are especially important if the whole development process of programs is to be supported by deductive techniques. The rest of the contributions address applications of deductive program design methods. They are directed to different areas of application; for example Richard Bird's and Oege de Moor's algebra of programming is mainly intended for classical functional programming, and the contribution on data refinement and their transformation by David Gries considers sequential procedural programs. Deductive program design aims at methods that guide and support the development of programs by techniques of deduction. However, the application of deductive techniques in program design needs methods, heuristics, and understanding of the required forms and formats of the development result that go far beyond those found in logical theories. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783642648496
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Deductive program design aims at methods that guide and support the development of programs by techniques of deduction. Deduction is a well-known subject of study in logical theories. However, the application of deductive techniques in program design needs methods, heuristics, and understanding of the required forms and formats of the development result that go far beyond those found in logical theories. The summer school presents a very broad spectrum of approaches to these issues. Edsger W. Dijkstra gives a number of beautiful examples that show how to design proofs. Samson Abramsky, Simon Gay, and Rajagopal Nagarajan contribute a fundamental study founding concurrent programming on interaction categories and foundations of type theory. Tony Hoare presents unifying views on mathematical models for computing science. Unifying theories are especially important if the whole development process of programs is to be supported by deductive techniques. The rest of the contributions address applications of deductive program design methods. They are directed to different areas of application; for example Richard Bird's and Oege de Moor's algebra of programming is mainly intended for classical functional programming, and the contribution on data refinement and their transformation by David Gries considers sequential procedural programs. 484 pp. Englisch. N° de réf. du vendeur 9783642648496
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