欧氏距离度

J. Draisma, Emil Horobet, G. Ottaviani, B. Sturmfels, Rekha R. Thomas
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引用次数: 19

摘要

关于欧氏距离的实代数变量的最近点映射是一个代数函数。例如,对于各种低秩矩阵,Eckart-Young定理指出该映射是由奇异值分解给出的。本文从计算代数几何的角度发展了这种最近点映射的理论。品种的欧几里得距离度是到该品种外的一般点的距离的平方的临界点的数目。关注应用程序中的变化,我们提出了许多计算工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The euclidean distance degree
The nearest point map of a real algebraic variety with respect to Euclidean distance is an algebraic function. For instance, for varieties of low rank matrices, the Eckart-Young Theorem states that this map is given by the singular value decomposition. This article develops a theory of such nearest point maps from the perspective of computational algebraic geometry. The Euclidean distance degree of a variety is the number of critical points of the squared distance to a generic point outside the variety. Focusing on varieties seen in applications, we present numerous tools for computation.
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