计算代数刚性矩阵中的电路多项式

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED
Goran Malić, Ileana Streinu
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引用次数: 1

摘要

我们提出了一种计算二维点的Cayley-Menger理想代数刚性矩阵中电路多项式的算法。它依赖于组合结式,这是一种对图的新操作,它捕获了这个理想中两个多项式的Sylvester结式的性质。我们证明了每个刚性电路都有一个基于此操作的图的构造树。我们的算法在构造树的指导下进行代数消去,并使用经典结果、因式分解和理想隶属度。为了突出其有效性,我们在Mathematica中实现了该算法:在一个示例中,它只花了不到15秒的时间,而一个Gröbner基础计算需要5天零6小时。使用Cayley-Menger理想的非生成器和我们的主要算法的简单变体获得了额外的加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computing Circuit Polynomials in the Algebraic Rigidity Matroid
We present an algorithm for computing circuit polynomials in the algebraic rigidity matroid associated to the Cayley–Menger ideal for points in 2D. It relies on combinatorial resultants, a new operation on graphs that captures properties of the Sylvester resultant of two polynomials in this ideal. We show that every rigidity circuit has a construction tree from graphs based on this operation. Our algorithm performs an algebraic elimination guided by such a construction tree and uses classical resultants, factorization, and ideal membership. To highlight its effectiveness, we implemented the algorithm in Mathematica: it took less than 15 seconds on an example where a Gröbner basis calculation took 5 days and 6 hours. Additional speed-ups are obtained using non- generators of the Cayley–Menger ideal and simple variations on our main algorithm.
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
19
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