Published February 28, 2017 | Version v1
Dataset Open

Dataset supporting "Using Machine Learning to decide when to Precondition Cylindrical Algebraic Decomposition with Groebner Bases"

  • 1. University of Cambridge
  • 2. Coventry University
  • 3. University of Bath

Description

Dataset supporting the paper:

Z. Huang, M. England, J.H. Davenport and L.C. Paulson
Using Machine Learning to decide when to Precondition Cylindrical Algebraic Decomposition with Groebner Bases.
Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC '16), pp. 45--52. IEEE, 2016. Digital Object Identifier: 10.1109/SYNASC.2016.020 

Files

22.txt

Files (21.9 MB)

Name Size Download all
md5:5452e4f34d688e83a7df640661021906
2.2 MB Preview Download
md5:e5ebfa2469ff6b40c3d00a8083030a29
2.5 MB Preview Download
md5:f190b3b5636f25b8e14264183209e797
3.5 MB Preview Download
md5:5c4bea93c0fa55daaddd4f9b5e0e1d6b
2.1 MB Preview Download
md5:2cbce53d545e1b031bcf219e862d914f
2.5 MB Preview Download
md5:73f8e0aa8b0713563dc5a35756ded0e0
4.7 MB Preview Download
md5:09baf9259f9e6b4478a96cde63c70a7e
776.0 kB Preview Download
md5:e18d3b09c7ef7edfd336a05b490abfed
1.3 MB Preview Download
md5:439778b9c73d8d311e69496c65e55355
2.1 MB Preview Download
md5:a051b1fbafd38739f9e174c68d7e5cc9
59.8 kB Preview Download
md5:4a3914fae8229f48eab6d68e106b0bf5
2.1 kB Preview Download

Additional details

Related works

Is supplement to
10.1109/SYNASC.2016.020 (DOI)

Funding

SC-square – SC-square - Satisfiability Checking and Symbolic Computation: uniting two communities to solve real problems 712689
European Commission