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Advances in the Design of Symbolic Computation Systems 1997 Edition
Contributor(s): Miola, Alfonso (Editor), Temperini, Marco (Editor)

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ISBN: 3211828443     ISBN-13: 9783211828441
Publisher: Springer
OUR PRICE: $104.49  

Binding Type: Paperback
Published: March 1997
Qty:

Annotation: New methodological aspects related to design and implementation of symbolic computation systems are considered in this volume aiming at integrating such aspects into a homogeneous software environment for scientific computation. The proposed methodology is based on a combination of different techniques: algebraic specification through modular approach and completion algorithms, approximated and exact algebraic computing methods, object-oriented programming paradigm, automated theorem proving through methods ?? la Hilbert and methods of natural deduction. In particular the proposed treatment of mathematical objects, via techniques for method abstraction, structures classification, and exact representation, the programming methodology which supports the design and implementation issues, and reasoning capabilities supported by the whole framework are described.

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Additional Information
BISAC Categories:
- Gardening
- Computers | Software Development & Engineering - Systems Analysis & Design
- Science | History
Dewey: 004.21
LCCN: 97008929
Series: Wiener Studien
Physical Information: 0.58" H x 6.14" W x 9.21" L (0.86 lbs) 276 pages
Features: Illustrated
 
Descriptions, Reviews, Etc.
Publisher Description:
New methodological aspects related to design and implementation of symbolic computation systems are considered in this volume aiming at integrating such aspects into a homogeneous software environment for scientific computation. The proposed methodology is based on a combination of different techniques: algebraic specification through modular approach and completion algorithms, approximated and exact algebraic computing methods, object-oriented programming paradigm, automated theorem proving through methods la Hilbert and methods of natural deduction. In particular the proposed treatment of mathematical objects, via techniques for method abstraction, structures classification, and exact representation, the programming methodology which supports the design and implementation issues, and reasoning capabilities supported by the whole framework are described.
 
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