Applying machine learning to the problem of choosing a heuristic to select the variable ordering for cylindrical algebraic decomposition

25 Apr 2014Zongyan HuangMatthew EnglandDavid WilsonJames H. DavenportLawrence C. PaulsonJames Bridge

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... (read more)

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