Abstract
Cylindrical algebraic decomposition(CAD) is a key tool in computational algebraic geometry, particularly for quantifier elimination over real-closed fields. When using CAD, there is often a choice for the ordering placed on the variables. This can be important, with some problems infeasible with one variable ordering but easy with another. Machine learning is the process of fitting a computer model to a complex function based on properties learned from measured data. In this paper we use machine learning (specifically a support vector machine) to select between heuristics for choosing a variable ordering, outperforming each of the separate heuristics.
Original language | English |
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Title of host publication | Intelligent Computer Mathematics - International Conference, CICM 2014, Proceedings |
Editors | Stephen M. Watt, James H. Davenport, Alan P. Sexton, Petr Sojka, Josef Urban |
Place of Publication | Cham |
Publisher | Springer Verlag |
Pages | 92-107 |
Number of pages | 16 |
Volume | 8543 LNAI |
ISBN (Print) | 9783319084336 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | 2014 International Conference on Intelligent Computer Mathematics - Coimbra, Portugal Duration: 7 Jul 2014 → 11 Jul 2014 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 8543 LNAI |
ISSN (Print) | 03029743 |
ISSN (Electronic) | 16113349 |
Conference
Conference | 2014 International Conference on Intelligent Computer Mathematics |
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Abbreviated title | CICM 2014 |
Country/Territory | Portugal |
City | Coimbra |
Period | 7/07/14 → 11/07/14 |
Bibliographical note
The final publication is available at Springer via http://dx.doi.org/[10.1007/978-3-319-08434-3_8
Copyright © and Moral Rights are retained by the author(s) and/ or other copyright
owners. A copy can be downloaded for personal non-commercial research or study,
without prior permission or charge. This item cannot be reproduced or quoted extensively
from without first obtaining permission in writing from the copyright holder(s). The
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without the formal permission of the copyright holders.
Keywords
- cylindrical algebraic decomposition
- machine learning
- problem formulation
- support vector machine
- symbolic computation
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
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Matthew England
- Research Centre for Computational Science and Mathematical Modelling - Centre Director
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