精明-埃米尔公式的贪婪方法

Carles Checa, I. Emiris
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引用次数: 3

摘要

cany - emiris公式[3]通过细分算法给出sylvester型矩阵的行列式与它的次式之间的比率的稀疏结果。D'Andrea等人在[9]中在一般条件下对底层混合细分给出了最完整的证明。在证明之前,Canny和Pedersen提出了一种贪婪算法,它通常提供更小的矩阵。本文的目标是给出贪婪方法的一类明确的混合细分,使得公式成立,并且与细分算法相比矩阵的维数减少。当牛顿多面体是由n个线段(其中n是底层晶格的秩)生成的带拓扑时,以及多齐次系统的情况下,我们测量了这种减少。本文附带了所处理案例的JULIA实现。
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A Greedy Approach to the Canny-Emiris Formula
The Canny-Emiris formula [3] gives the sparse resultant as a ratio between the determinant of a Sylvester-type matrix and a minor of it, by a subdivision algorithm. The most complete proof of the formula was given by D'Andrea et al. in [9] under general conditions on the underlying mixed subdivision. Before the proof, Canny and Pedersen had proposed [5] a greedy algorithm which provides smaller matrices, in general. The goal of this paper is to give an explicit class of mixed subdivisions for the greedy approach such that the formula holds, and the dimensions of the matrices are reduced compared to the subdivision algorithm. We measure this reduction for the case when the Newton polytopes are zonotopes generated by n line segments (where n is the rank of the underlying lattice), and for the case of multihomogeneous systems. This article comes with a JULIA implementation of the treated cases.
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