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 |
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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 |

Divisions: | 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: | 16 Nov 2021 10:07 UTC |

Resource URI: | https://kar.kent.ac.uk/id/eprint/29977 (The current URI for this page, for reference purposes) |

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