The Algorithmization of Physics: Math Between Science and Engineering

Rosenkranz, Markus (2004) The Algorithmization of Physics: Math Between Science and Engineering. In: Buchberger, Bruno and Campbell, John, eds. Artificial Intelligence and Symbolic Computation: 7th International Conference, AISC 2004, Linz, Austria, September 22-24, 2004. Proceedings. Lecture Notes in Computer Science, 3249 . Springer, pp. 1-7. ISBN 978-3-540-23212-4. (doi:10.1007/978-3-540-30210-0_1) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:29977)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://dx.doi.org/10.1007/978-3-540-30210-0_1

Abstract

I give a concise description of my personal view on symbolic computation, its place within mathematics and its relation to algebra. This view is exemplified by a recent result from my own research: a new symbolic solution method for linear two-point boundary value problems. The essential features of this method are discussed with regard to a potentially novel line of research in symbolic computation.

Item Type:	Book section
DOI/Identification number:	10.1007/978-3-540-30210-0_1
Uncontrolled keywords:	Symbolic computation; symbolic analysis; axiomatization; algebraic structures
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA150 Algebra Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems) Q Science > QA Mathematics (inc Computing science) > QA 8 Philosophy of mathematics
Institutional Unit:	Schools > School of Engineering, Mathematics and Physics > Mathematical Sciences
Former Institutional Unit:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User:	Markus Rosenkranz
Date Deposited:	27 Jul 2012 17:54 UTC
Last Modified:	20 May 2025 11:35 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/29977 (The current URI for this page, for reference purposes)

University of Kent Author Information

Rosenkranz, Markus.

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