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首页> 外文期刊>SIAM Journal on Numerical Analysis >Numerical decomposition of the solution sets of polynomial systems into irreducible components
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Numerical decomposition of the solution sets of polynomial systems into irreducible components

机译:多项式系统解集到不可约成分的数值分解

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In engineering and applied mathematics, polynomial systems arise whose solution sets contain components of different dimensions and multiplicities. In this article we present algorithms, based on homotopy continuation, that compute much of the geometric information contained in the primary decomposition of the solution set. In particular, ignoring multiplicities, our algorithms lay out the decomposition of the set of solutions into irreducible components, by finding, at each dimension, generic points on each component. As by-products, the computation also determines the degree of each component and an upper bound on its multiplicity. The bound is sharp (i.e., equal to one) for reduced components. The algorithms make essential use of generic projection and interpolation, and can, if desired, describe each irreducible component precisely as the common zeroes of a finite number of polynomials. [References: 44]
机译:在工程和应用数学中,出现了多项式系统,其解集包含不同维数和多重性的分量。在本文中,我们提出基于同伦连续性的算法,该算法计算解集的初次分解中包含的许多几何信息。特别是,忽略多重性,我们的算法通过在每个维度上找到每个组件上的通用点,将解决方案集合分解为不可约组件。作为副产品,计算还确定每个成分的程度以及其多重性的上限。对于减少的分量,边界是尖锐的(即等于1)。该算法主要使用通用投影和插值,如果需要,可以将每个不可约分量精确地描述为有限数量多项式的公零。 [参考:44]

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