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Bounds for Semi-disjoint Bilinear Forms in a Unit-Cost Computational Model

机译:单位成本计算模型中半不相交双线性形式的界

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We study the complexity of the so called semi-disjoint bilinear forms over different semi-rings, in particular the n-dimensional vector convolution and n x n matrix product. We consider a powerful unit-cost computational model over the ring of integers allowing for several additional operations and generation of large integers. We show the following dichotomy for such a powerful model: while almost all arithmetic semi-disjoint bilinear forms have the same asymptotic time complexity as that yielded by naive algorithms, matrix multiplication, the so called distance matrix product, and vector convolution can be solved in a linear number of steps. It follows in particular that in order to obtain a non-trivial lower bounds for these three basic problems one has to assume restrictions on the set of allowed operations and/or the size of used integers.
机译:我们研究了在不同半环上的所谓半不相交双线性形式的复杂性,特别是n维矢量卷积和n x n矩阵乘积。我们考虑了一个强大的整数环上的单位成本计算模型,该模型允许进行其他一些操作并生成大整数。对于这种强大的模型,我们展示了以下二分法:虽然几乎所有算术半不相交双线性形式都具有与朴素算法,矩阵乘法,所谓的距离矩阵乘积和向量卷积可解决的渐近时间复杂度相同的渐进时间复杂度。线性步数。特别地,为了获得对于这三个基本问题的非平凡的下界,必须假设对所允许的操作的集合和/或所使用的整数的大小的限制。

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