33 citations · 72 across the 4 of their papers we have counts for
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Using Machine Learning to Improve Cylindrical Algebraic Decomposition
Zongyan Huang, Matthew England, David Wilson +2
Cylindrical Algebraic Decomposition (CAD) is a key tool in computational algebraic geometry, best known as a procedure to enable Quantifier Elimination over real-closed fields. How…
Using Machine Learning to Decide When to Precondition Cylindrical Algebraic Decomposition With Groebner Bases
Zongyan Huang, Matthew England, James H. Davenport +1
Cylindrical Algebraic Decomposition (CAD) is a key tool in computational algebraic geometry, particularly for quantifier elimination over real-closed fields. However, it can be exp…
A comparison of three heuristics to choose the variable ordering for CAD
Zongyan Huang, Matthew England, David Wilson +2
Cylindrical algebraic decomposition (CAD) is a key tool for problems in real algebraic geometry and beyond. When using CAD there is often a choice over the variable ordering to use…
Applying machine learning to the problem of choosing a heuristic to select the variable ordering for cylindrical algebraic decomposition
Zongyan Huang, Matthew England, David Wilson +3
Cylindrical algebraic decomposition(CAD) is a key tool in computational algebraic geometry, particularly for quantifier elimination over real-closed fields. When using CAD, there i…