Abstract
This extended abstract accompanies an invited talk at CASC 2024, which surveys recent developments in Real Quantifier Elimination (QE) and Cylindrical Algebraic Decomposition (CAD). After introducing these concepts we will first consider adaptations of CAD inspired by computational logic, in particular the algorithms which underpin modern SAT solvers. CAD theory has found use in collaboration with these via the Satisfiability Modulo Theory (SMT) paradigm; while the ideas behind SAT/SMT have led to new algorithms for Real QE. Second we will consider the optimisation of CAD through the use of Machine Learning (ML). The choice of CAD variable ordering has become a key case study for the use of ML to tune algorithms in computer algebra. We will also consider how explainable AI techniques might give insight for improved computer algebra software without any reliance on ML in the final code.
| Original language | English |
|---|---|
| Title of host publication | Computer Algebra in Scientific Computation |
| Editors | François Boulier, Chenqi Mou, Timur M. Sadykov, Evgenii V. Vorozhtsov |
| Publisher | Springer |
| Chapter | 1 |
| Pages | 1-10 |
| Number of pages | 10 |
| Volume | 14938 |
| ISBN (Electronic) | 978-3-031-69070-9 |
| ISBN (Print) | 978-3-031-69069-3 |
| DOIs | |
| Publication status | Published - 21 Aug 2024 |
| Event | 26th International Computer Algebra in Scientific Computing - Rennes, France Duration: 2 Sept 2024 → 6 Sept 2024 https://casc-conference.org/ |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 26th International Computer Algebra in Scientific Computing |
|---|---|
| Abbreviated title | CASC 2024 |
| Country/Territory | France |
| City | Rennes |
| Period | 2/09/24 → 6/09/24 |
| Internet address |
Bibliographical note
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-031-69070-9_1© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG. 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 content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.
This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.
Funding
The author is currently supported by UKRI EPSRC grant EP/T015748/1: Pushing Back the Doubly-Exponential Wall of Cylindrical Algebraic Decomposition (the DEWCAD Project). Some of the work surveyed was supported by UKRI EPSRC grant EP/R019622/1, Embedding Machine Learning within Quantifier Elimination Procedures; and EU H2020 FET CSA 712689, Satisfiability Checking and Symbolic Computation (the SC Project).
| Funders | Funder number |
|---|---|
| Engineering and Physical Sciences Research Council | EP/T015748/1, EP/R019622/1 |
| Horizon Europe | FET CSA 712689 |
Keywords
- Quantifier elimination
- Cylindrical algebraic decomposition
- SAT
- SMT
- Machine learning
- Explainable AI
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