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A Polynomial-Time Dependence Test for Determining Integer-Valued Solutions in Multi-Dimensional Arrays Under Variable Bounds

机译:确定可变边界下多维数组中整数值解的多项式时间相关性测试

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摘要

Multi-dimensional arrays with linear subscripts occur quite frequently in real programs. For multidimensional linear arrays under variable bounds as well as any given direction vectors, the generalized Lambda test is an efficient and precise data dependence method to check whether there exist real-valued solutions. In this paper, we propose a multi-dimensional generalized interval test—a polynomial-time dependence test that can be applied towards testing whether there are integer-valued solutions for multi-dimensional linear arrays under variable limits and any given direction vectors. Experimental results with benchmark showing the effects of the multi-dimensional generalized interval test over the generalized Lambda test are also presented.
机译:带有线性下标的多维数组在实际程序中经常出现。对于可变边界下的多维线性阵列以及任何给定的方向向量,广义Lambda检验是一种有效且精确的数据依赖方法,用于检查是否存在实值解。在本文中,我们提出了多维广义区间检验-多项式时间相关性检验,可用于测试在可变限制和任何给定方向向量下的多维线性阵列是否存在整数解。还提供了基准测试结果,该结果显示了多维广义区间检验对广义Lambda检验的影响。

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