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Chordality Preserving Incremental Triangular Decomposition and Its Implementation

机译:保弦的增量三角分解及其实现

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摘要

In this paper, we first prove that the incremental algorithm for computing triangular decompositions proposed by Chen and Moreno Maza in ISSAC 2011 in its original form preserves chordality, which is an important property on sparsity of variables. On the other hand,-we find that the current implementation in Triangularize command of the RegularChains library in Maple may not always respect chordality due to the use of some simplification operations. Experimentation show that modifying these operations, together with some other optimizations, brings significant speedups for some super sparse polynomial systems.
机译:在本文中,我们首先证明了Chen和Moreno Maza在ISSAC 2011中以原始形式提出的用于计算三角分解的增量算法可以保留和弦性,这是变量稀疏性的重要属性。另一方面,我们发现Maple中RegularChains库的Triangularize命令的当前实现可能由于使用某些简化操作而并不总是尊重和弦性。实验表明,修改这些运算以及其他一些优化操作,可以为某些超稀疏多项式系统带来显着的加速。

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