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by Robert N. Moll,Michael A. Arbib,A.J. Kfoury

Author: Robert N. Moll,Michael A. Arbib,A.J. Kfoury
Subcategory: Computer Science
Language: English
Publisher: Springer; 1982 edition (August 31, 1982)
Pages: 251 pages
Category: Technologies and Computers
Rating: 4.3
Other formats: doc mbr mobi txt

Computability theory is at the heart of theoretical computer science. Yet, ironically, many of its basic results were discovered by mathematical logicians prior to the development of the first stored-program computer.

Computability theory is at the heart of theoretical computer science.

Michael A. Arbib (born 28 May 1940 in England) is the Fletcher Jones Professor of Computer Science, as well as a Professor of Biological Sciences, Biomedical Engineering, Electrical Engineering. Arbib (born 28 May 1940 in England) is the Fletcher Jones Professor of Computer Science, as well as a Professor of Biological Sciences, Biomedical Engineering, Electrical Engineering, Neuroscience and Psychology at the University of Southern California (USC)

J. Kfoury, Robert N. Moll, Michael A. Arbib. Computability theory is at the heart of theoretical computer science.

J. The Syntax and Semantics of while-Programs. A. J. Enumeration and Universality of the Computable Functions. As a result, many texts on computability theory strike today's computer science students as far removed from their concerns.

Texts and monographs in computer science) Bibliography: p. Includes index. I. Kfoury, A. 11. Moll, Robert N. Ill. Title.

Computability theory is at the heart of theoretical computer science Series: Texts and monographs in computer science. Series: Texts and monographs in computer science. As a result, many texts on computability theory strike today's computer science students as far removed from their concerns

A Programming Approach to Computability. Kfoury, Michael A. Arbib, Robert N. Moll.

A Programming Approach to Computability.

A Programming Approach to Computability by A. Kfoury, R. N. The book is essentially self-contained-what little background is required may be found in the AKM volume A Basis for Theoretical Computer. Moll, and M. Algebraic Approaches to Program Semantics by E. G. Manes and M. The book is essentially self-contained-what little background is required may be found in the AKM volume A Basis for Theoretical Computer Science.

Описание: Addresses various ways computability and theoretical computer science enable scientists and philosophers to deal with mathematical and real-world issues. This book covers problems related to logic, mathematics, physical processes, real computation and learning theory. The AKM series in theoretical computer science. Axiomatising the Logic of Computer Programming. Texts and Monographs in Computer Science. Springer-Verlag, New York, Berlin, Heidelberg, Et. 1993, Xx + 546 Pp. Springer-Verlag, New York, Heidelberg, and Berlin, 1982, viii + 251 pp. H. P. Edmundson. V. Uspensky & A. Shen - 1995 - Journal of Symbolic Logic 60 (3):1017-1020.

Computability theory is at the heart of theoretical computer science. Yet, ironically, many of its basic results were discovered by mathematical logicians prior to the development of the first stored-program computer. As a result, many texts on computability theory strike today's computer science students as far removed from their concerns. To remedy this, we base our approach to computability on the language of while-programs, a lean subset of PASCAL, and postpone consideration of such classic models as Turing machines, string-rewriting systems, and p. -recursive functions till the final chapter. Moreover, we balance the presentation of un solvability results such as the unsolvability of the Halting Problem with a presentation of the positive results of modern programming methodology, including the use of proof rules, and the denotational semantics of programs. Computer science seeks to provide a scientific basis for the study of information processing, the solution of problems by algorithms, and the design and programming of computers. The last 40 years have seen increasing sophistication in the science, in the microelectronics which has made machines of staggering complexity economically feasible, in the advances in programming methodology which allow immense programs to be designed with increasing speed and reduced error, and in the develop­ ment of mathematical techniques to allow the rigorous specification of program, process, and machine.