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Sparse resultants and straight-line programs

机译:稀疏结果和直线程序

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摘要

We prove that the sparse resultant, redefined by D'Andrea and Sombra and by Esterov as a power of the classical sparse resultant, can be evaluated in a number of steps which is polynomial in its degree, its number of variables and the size of the exponents of the monomials in the Laurent polynomials involved in its definition. Moreover, we design a probabilistic algorithm of this order of complexity to compute a straight-line program that evaluates it within this number of steps. (C) 2017 Elsevier Ltd. All rights reserved.
机译:我们证明了由D'Andrea和Sombra以及Esterov重新定义为经典稀疏结果的幂的稀疏结果可以通过许多步骤进行评估,这些步骤在其程度,变量数量和大小上都是多项式Laurent多项式中单项式的指数涉及其定义。此外,我们设计了这种复杂程度的概率算法,以计算一个直线程序,并在此步骤内对其进行评估。 (C)2017 Elsevier Ltd.保留所有权利。

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