Using the Distribution of Cells by Dimension in a Cylindrical Algebraic Decomposition

D. Wilson, M. England, R. Bradford, J. Davenport
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引用次数: 16

Abstract

We investigate the distribution of cells by dimension in cylindrical algebraic decompositions (CADs). We find that they follow a standard distribution which seems largely independent of the underlying problem or CAD algorithm used. Rather, the distribution is inherent to the cylindrical structure and determined mostly by the number of variables. This insight is then combined with an algorithm that produces only full-dimensional cells to give an accurate method of predicting the number of cells in a complete CAD. Since constructing only full-dimensional cells is relatively inexpensive (involving no costly algebraic number calculations) this leads to heuristics for helping with various questions of problem formulation for CAD, such as choosing an optimal variable ordering. Our experiments demonstrate that this approach can be highly effective.
利用柱面代数分解中按维分布的单元
我们研究了圆柱代数分解(CADs)中细胞的维数分布。我们发现它们遵循一种标准分布,这种分布似乎在很大程度上独立于所使用的潜在问题或CAD算法。相反,分布是圆柱形结构固有的,主要由变量的数量决定。然后将这种见解与仅产生全维细胞的算法相结合,从而提供准确预测完整CAD中细胞数量的方法。由于只构造全维单元相对便宜(不涉及昂贵的代数数计算),这导致启发式方法有助于解决CAD问题表述的各种问题,例如选择最优变量排序。我们的实验表明,这种方法是非常有效的。
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