On largest volume simplices and sub-determinants

On largest volume simplices and sub-determinants
复制标题

关于最大体积单纯形和次行列式

DOI:
--
复制
发表时间:
2014
期刊:
ACM-SIAM Symposium on Discrete Algorithms
影响因子:
--
通讯作者:
Carsten Moldenhauer
Carsten Moldenhauer
中科院分区:
--
文献类型:
--
作者:
M. D. Summa;F. Eisenbrand;Yuri Faenza;Carsten Moldenhauer

文献摘要

被引文献

相似文献

我们表明,在QD中找到最大体积的单纯形,可以在多项式时间内使用O(log d)d/2的因子(log d)d/2近似。 d(d -1)/2的khachiyan。 另一方面,我们证明存在常数c> 1,因此,即使n = o(d),除非我们的硬度结果,否存在一种依赖于最近采样技术的CD及其算法,其中C再次是常数。 我们表明,对于找到D×N矩阵的亚测定因素的最大绝对值的问题,相似的结果存在。
We show that the problem of finding the simplex of largest volume in the convex hull of n points in Qd can be approximated with a factor of O(log d)d/2 in polynomial time. This improves upon the previously best known approximation guarantee of d(d−1)/2 by Khachiyan. On the other hand, we show that there exists a constant c > 1 such that this problem cannot be approximated with a factor of cd, unless P = NP. Our hardness result holds even if n = O(d), in which case there exists a cd-approximation algorithm that relies on recent sampling techniques, where c is again a constant. We show that similar results hold for the problem of finding the largest absolute value of a subdeterminant of a d × n matrix.