Using Machine Learning to Decide When to Precondition Cylindrical Algebraic Decomposition With Groebner Bases

15 Aug 2016Zongyan HuangMatthew EnglandJames H. DavenportLawrence C. Paulson

Cylindrical Algebraic Decomposition (CAD) is a key tool in computational algebraic geometry, particularly for quantifier elimination over real-closed fields. However, it can be expensive, with worst case complexity doubly exponential in the size of the input... (read more)

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