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Algorithmic copositivity detection by simplicial partition

机译:基于简单分割的算法共性检测

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We present new criteria for copositivity of a matrix, i.e., conditions which ensure that the quadratic form induced by the matrix is nonnegative over the nonnegative orthant. These criteria arise from the representation of the quadratic form in barycentric coordinates with respect to the standard simplex and simplicial partitions thereof. We show that, as the partition gets finer and finer, the conditions eventually capture all strictly copositive matrices. We propose an algorithmic implementation which considers several numerical aspects. As an application, we present results on the maximum clique problem. We also briefly discuss extensions of our approach to copositivity with respect to arbitrary polyhedral cones. (c) 2007 Elsevier Inc. All rights reserved.
机译:我们提出了矩阵共正性的新标准,即确保由矩阵诱导的二次形式在非负正态上为非负的条件。这些标准来自相对于标准单形及其简单分区的重心坐标中的二次形式的表示。我们表明,随着分区越来越精细,条件最终会捕获所有严格的正正矩阵。我们提出了一种考虑了几个数值方面的算法实现。作为应用,我们提出了关于最大集团问题的结果。我们还简要讨论了关于任意多面体圆锥的共正方法的扩展。 (c)2007 Elsevier Inc.保留所有权利。

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