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Applying Machine Learning to Heuristics for Real Polynomial Constraint Solving
This paper considers the application of machine learning to automatically generating heuristics for real polynomial constraint solvers. We consider a specific choice-point in the algorithm for constructing an open Non-uniform Cylindrical Algebraic Decomposition (NuCAD) for a conjunction of constrain...
Autores principales: | Brown, Christopher W., Daves, Glenn Christopher |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340921/ http://dx.doi.org/10.1007/978-3-030-52200-1_29 |
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